T. Alderliesten PhD

All Publications

Personalia

Name Tanja Alderliesten
Date of birth 15-04-1976
Location of birth Rotterdam, the Netherlands
Nationality Dutch

 

Career overview (education and profession)

As of October, 2019
Tenured associate professor at the department of radiation oncology, Leiden University Medical Center, the Netherlands

2016-2019
Tenured senior researcher at the department of radiation oncology, Academic Medical Center, University of Amsterdam, the Netherlands

2012-2016
Senior researcher at the department of radiation oncology, Academic Medical Center, University of Amsterdam, the Netherlands

2008-2012
Postdoctoral research fellow at the department of radiation oncology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital in Amsterdam, the Netherlands

2004-2008
Postdoctoral research fellow at the department of radiology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital in Amsterdam, the Netherlands

2000-2004
Ph.D. student (Assistent in Opleiding (AiO)) at the Image Sciences Institute, faculty of Medicine at the Utrecht University in Utrecht, the Netherlands (graduation date: 07-12-2004)

1997-2000
Masters (Doctoraal) Medical Computer Science at the Utrecht University in Utrecht, the Netherlands (cum laude, exam date: 21-08-2000)

1996-1997
Bachelors (Propedeuse) Medical Computer Science at the Utrecht University in Utrecht, the Netherlands (cum laude, date: 27-06-1997)

1995-1996
Bachelors (Propedeuse) Psychology at the Utrecht University in Utrecht, the Netherlands (graduation with honors, date: 30-08-1996)

1993-1995
Voorbereidend Wetenschappelijk Onderwijs at the Citycollege Sint Franciscus in Rotterdam, the Netherlands (date: 30-06-1995)

1988-1993
Hoger Algemeen Voortgezet Onderwijs at the Citycollege Sint Franciscus in Rotterdam, the Netherlands (date: 15-06-1993)
 

Brief summary of professional experience

Dr. Tanja Alderliesten is currently employed as an associate professor at the department of Radiation Oncology of the Leiden University Medical Center (LUMC) located in Leiden, the Netherlands. The focus of her research is on translational research and associated development of state-of-the-art methods and techniques from the fields of mathematics and computer science, and in particular AI techniques, to radiation oncology. After Tanja obtained her Ph.D. degree in (Medical) Computer Science at the Image Sciences Institute (ISI), Utrecht University, the Netherlands, she was affiliated with The Netherlands Cancer Institute as a postdoctoral researcher; at first with the department of Radiology and later with the department of Radiation Oncology. After eight years she joined the Amsterdam UMC, University of Amsterdam, department of Radiation Oncology as a senior researcher. Her research often includes image-processing and computer-science methods and techniques such as segmentation, biomechanical modeling, simulation, and deformable image registration, but also includes algorithmic design, optimization, machine learning, and (explainable) AI techniques in general. She is also experienced in research concerning image-guidance systems (i.e., optical infrared image navigation and surface imaging systems), the improvement of radiotherapy for esophageal cancer patients, 3D radiation dose reconstruction for children with cancer treated in the pre CT-based radiotherapy planning era as well as advanced optical imaging of the esophagus during cancer therapy, deformable breast image registration, and automated brachytherapy planning.

 

Awards    

• 2019 Humies Silver Award (3000 USD) for Human-Competitive Results Produced by Genetic and Evolutionary Computation, presented at the Genetic and Evolutionary Computation Conference (GECCO): S.C. Maree, N.H. Luong, E.S. Kooreman, N. van Wieringen, A. Bel, K.A. Hinnen, H. Westerveld, B.R. Pieters, P.A.N. Bosman, T. Alderliesten. Evaluation of bi-objective treatment planning for high-dose-rate prostate brachytherapy – A retrospective observer study.
• Winner of the 2019 Competition on Niching Methods for Multimodal Optimization at the Genetic and Evolutionary Computation Conference (GECCO): S.C. Maree, T. Alderliesten, D. Thierens, P.A.N. Bosman.
• SPIE Medical Imaging 2019 Conference, Image Processing, Cum Laude Poster Award sponsored by 12 Sigma (granted to Ph.D. student K. Pirpinia) for the paper: K. Pirpinia, P.A.N. Bosman, J.-J. Sonke, M. van Herk, T. Alderliesten. Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. Proc. SPIE 10949, Medical Imaging 2019: Image Processing, 1094939; doi: 10.1117/12.2512760; https://doi.org/10.1117/12.2512760, 2019.
• ESTRO – Elekta Brachytherapy Award 2019 (granted to Ph.D. student P.A. Bouter) for the abstract: A. Bouter, T. Alderliesten, B.R. Pieters, A. Bel, Y. Niatsetski, P.A.N. Bosman. Bi-objective optimization of dosimetric indices for HDR prostate brachytherapy within 30 seconds. ESTRO 38 congress, 2019.
• Junior Brachytherapy Travel Grant sponsored by Elekta Brachytherapy (granted to Ph.D. student M.C. van der Meer) for the abstract: M.C. van der Meer, P.A.N. Bosman, B.R. Pieters, Y. Niatsetski, T. Alderliesten, A. Bel. Robust HDR prostate brachytherapy planning accounting for organ reconstruction settings. ESTRO 38 congress, 2019.
• Winner of the 2018 Competition on Niching Methods for Multimodal Optimization at the Genetic and Evolutionary Computation Conference (GECCO): S.C. Maree, T. Alderliesten, P.A.N. Bosman.
• Chinese Government Award for Outstanding Self-financed Students Abroad granted to Ph.D. student P. Jin for his Ph.D. research, 2018.
• Junior Brachytherapy Travel Grant sponsored by Elekta Brachytherapy (granted to Ph.D. student S.C. Maree) for the abstract: S.C. Maree, E.S. Kooreman, N.H. Luong, N. van Wieringen, A. Bel, E.C.M. Rodenburg, K.A. Hinnen, G.H. Westerveld, B.R. Pieters, P.A.N. Bosman, T. Alderliesten. Better plans and easy plan selection via bi-objective optimization for HDR prostate brachytherapy. ESTRO 37 congress, 2018.
• Junior Brachytherapy Travel Grant sponsored by Elekta Brachytherapy (granted to Ph.D. student M.C. van der Meer) for the abstract: M.C. van der Meer, P.A.N. Bosman, B.R. Pieters, Y. Niatsetski, T. Alderliesten, A. Bel. Sensitivity of dose-volume indices to organ reconstruction settings in HDR prostate brachytherapy. ESTRO 37 congress, 2018.
• Poster award (granted to Ph.D. student M. Machiels) for the abstract M. Machiels, P. Jin, C.H.M. van Gurp, J.E. van Hooft, T. Alderliesten, M.C.C.M. Hulshof. Comparison of carina- versus bony anatomy-based registration for IGRT in esophageal cancer. Therapie op Maat, Interdisciplinair Congres van de NVCO, NVMO, NVRO, 2017.
• Best oral presentation award (granted to Ph.D. student S.C. Huijskens) for the abstract S.C. Huijskens, I.W.E.M. van Dijk, J. Visser, C.R.N. Rasch, T. Alderliesten, A. Bel. Magnitude and variability of respiratory-induced diaphragm motion during radiotherapy in children and adults. Amsterdam Kinder Symposium, 2017.
• ESTRO-Accuray Award 2017 (granted to Ph.D. student P. Jin) for our work in “Anatomical uncertainties in esophageal cancer radiation therapy”.
• Best Junior Presentation GEC-ESTRO award sponsored by Elekta Brachytherapy (granted to S.C. Maree) for the following abstract: S.C. Maree, P.A.N. Bosman, Y. Niatsetski, C. Koedooder, N. van Wieringen, A. Bel, B.R. Pieters, T. Alderliesten. Improved class solutions for prostate brachytherapy planning via evolutionary machine learning. ESTRO 36 congress, 2017.
• Young investigator award (granted to Ph.D. student K. Pirpinia) for the following work presented at ICCR: K. Pirpinia, P.A.N. Bosman, C.E. Loo, A.N. Scholten, J-J. Sonke, M. van Herk, T. Alderliesten. Multi-objective optimization as a novel weight-tuning strategy for deformable image registration applied to pre-operative partial-breast radiotherapy. Proc. 18th International Conference on the use of Computers in Radiation therapy (ICCR), 2016.
• The following article was featured on MDLinx.com: M. Donker, C.A. Drukker, R.A. Valdés Olmos, E.J.Th. Rutgers, C.E. Loo, G.S. Sonke, J. Wesseling, T. Alderliesten, M.T.F.D. Vrancken Peeters. Guiding breast-conserving surgery in patients after neoadjuvant systemic therapy for breast cancer. A comparison of radioactive seed localization with the ROLL technique, Annals of Surgical Oncology, vol. 20, pages 2569-2575, 2013.
• Chirurgendagen – Award for scientific poster presentation of the abstract titled “Mammatumoren lokaliseren met jodiumbronnen: migreren de bronnen?”.
• The following article was selected for the December 1, 2006 issue of Virtual Journal of Biological Physics Research: T. Alderliesten, M.K. Konings, W.J. Niessen. Robustness and complexity of a minimally invasive vascular intervention simulation system. Medical Physics, vol. 33, issue 12, pages 4758-4769, 2006.
• Medical Image Computing and Computer-Assisted Intervention (MICCAI) – NDI Tokyo award for scientific presentation of the paper titled “Simulation of guide wire propagation for minimally invasive vascular interventions”, 2002.

 

Grants

As PI

• T. Alderliesten, P.A.N. Bosman, L.J.A. Stalpers, B.R. Pieters. “Fast, accurate, and insightful brachytherapy treatment planning for cervical cancer through artificial intelligence”. Dutch Cancer Society (Project No. 12183). Funds 2 Ph.D. students, 1 MD-Ph.D. student, 1 scientific programmer (2 years), and 1 radiation therapy technologist (5 years at 0.05 FTE). 2019.
• T. Alderliesten, P.A.N. Bosman, A. Bel. “Multi-Objective Deformable Image Registration (MODIR) - An Innovative Synergy of Multi-Objective Optimization, Machine Learning, and Biomechanical Modeling for the Registration of Medical Images with Content Mismatch and Large Deformations”. NWO-TTW OTP Programme (Project 15586). Funds 2 postdocs (3 years at 1 FTE), 2 Ph.D. students, and 1 radiation therapy technologist (4 years at 0.5 FTE). 2017.
• T. Alderliesten. Support for the GPU-based Acceleration of State-of-the-Art Learning and Optimization Algorithms. NVIDIA GPU Grant Programme. Funds 1 Tesla X Pascal GPU card. 2017.
• T. Alderliesten, P.A.N. Bosman. “Apparatuur voor onderzoek om bestralingsgerelateerde langetermijneffecten na kinderkanker nauwkeuriger in kaart te brengen dan ooit”. Nijbakker-Morra Stichting. Funds 1 High Performance Computing System. 2017.
• T. Alderliesten, P.A.N. Bosman. “High Performance Computing systemen voor het nauwkeurig reconstrueren van de 3D bestralingsdosisverdeling voor kinderen met kanker die in het verleden zijn behandeld”. Maurits en Anna de Kock Stichting. Funds 1 High Performance Computing System. 2016.
• T. Alderliesten, A. Bel, C.R.N. Rasch, P.A.N. Bosman, C.M. Ronckers. “3D dose reconstruction for children with long-term follow-up – Toward improved decision making in radiation treatment for children with cancer”. KiKa multiannual research project (#187). Funds 2 Ph.D. students and 1 postdoc (4 years at 0.15 FTE). 2014.
• T. Alderliesten, C.E. Loo, M.T.F.D. Vrancken Peeters. “Optimized targeting for surgery and radiotherapy of breast cancer with a DCIS component”. Dutch Cancer Society (Grant No. NKI 2012-5716). Funds 2 Ph.D. students. 2012.

As Co-PI

• P.A.N. Bosman and T. Alderliesten. EXAMINE - Evolutionary eXplainable Artificial Medical INtelligence Engine. NWO Open Competition Domain Science - KLEIN-2 Programme. Funds 2 PhD students. 2019.
• C.R.N. Rasch, F. Verbaak, T. Alderliesten. Optical coherence tomography and widefield fundus photography for 3D radiation-dose response relationship in partial eye irradiation using in-patient comparison. Dutch Cancer Society (Project No. 11690). Funds 2 Ph.D. students. 2018.
• P.A.N. Bosman, T. Alderliesten. FEDMix: Fusible Evolutionary Deep Neural Network Mixture Learning from Distributed Data for Robust Medical Image Analysis. NWO-ENW Joint eScience and Data Science across Top Sectors Programme. Funds 1 Ph.D. student. 2017.
• L.E. Smeele, A.G. Becking, J.H.M. Merks, T. Alderliesten, T.J.J. Maal. “Individualized prediction of treatment-induced facial deformities and functional impairments for children with head and neck rhabdomyosarcoma”. KiKa multiannual research project (#297). Funds 1 Ph.D. student and 1 medical researcher (4 years at 0.9 FTE). 2017.
• A. Bel, I.W.E.M. van Dijk, T. Alderliesten. “Child-tailored image guided adaptive radiotherapy: because children are not adults”. Dutch Cancer Society (Project No. 2016-10113). Funds 1 Ph.D. student (4 years at 1 FTE), 1 Ph.D. student (2 years at 1 FTE), 1 postdoc (1 year at 1 FTE), 1 pediatric researcher (5 years at 0.1 FTE), and 1 radiation therapy technologist (4 years at 0.1 FTE). 2016.
• P.A.N. Bosman, K. Hindriks, M. Neerincx, H. Merks, M. Grootenhuis, T. Alderliesten. “Improving Childhood Cancer Care when Parents Cannot be There – Reducing Medical Traumatic Stress in Childhood Cancer Patients by Bonding with a Robot Companion”. STW-KWF Partnership Programme (Project 15198). Funds 1 postdoc (2 years at 1 FTE) and 2 Ph.D. students. 2016.
• L.E. Smeele, J.H.M. Merks, T. Alderliesten, T.J.J. Maal. “Quantification of treatment induced growth disruption using 3D photography in children with orbital rhabdomyosarcoma”. ODAS Stichting (Project 2015-34). Funds 1 medical researcher (1,5 years at 1 FTE). 2015.
• P.A.N. Bosman, Y. Niatsetski, T. Alderliesten, A. Bel. “ICT-based Innovations in the Battle against Cancer – Next-Generation Patient-Tailored Brachytherapy Cancer Treatment Planning”. NWO Innovatieve publiek-private samenwerking in ICT (IPPSI) - Technology Area (TA) programme (Project No. 628.006.003). Funds 1 postdoc (3 years at 1 FTE) and 3 Ph.D. students. 2015.
• A. Bel, T. Alderliesten, C.R.N. Rasch, C.M. Ronckers. “Organ motion during highprecision radiation therapy: why treat children like adults? A pilot project”. KiKa pilot project (#162). Funds 1 researcher (1,25 years at 1 FTE) and 1 ICT/physicist (0,5 year at 0.2 FTE). 2014.
• M.M.C. Bijveld, T. Alderliesten. “Een dynamische fantoom studie voor het gebruik van markers in bewegende tumoren (bijvoorbeeld door de ademhaling van de patiënt) ten behoeve van beeldgeleide radiotherapie”. Maurits en Anna de Kock Stichting. Funds a 4D phantom. 2014.

 

Supervision

Postdocs

• M. Virgolin (employee of CWI). Appointed on STW-KWF Partnership Programme Project 15198. 2019-2020.
• A. Rincon (employee of CWI). Appointed on STW-KWF Partnership Programme Project 15198. 2017-2019.
• M. Camara. Appointed on NWO-TTW OTP Programme Project 15586. 2019-2022.
• T.M. Deist (employee of CWI). Appointed on NWO-TTW OTP Programme Project 15586. 2019-2022.
• N.H. Luong (employee of CWI). Appointed on NWO IPPSI-TA Project No. 628.006.003. 2016-2019.
• I.W.E.M. van Dijk. Appointed on KiKa Project #187. 2015-2019.

Ph.D. students

• B. Kinaci-Tas. Leiden University. Appointed on Dutch Cancer Society Project 11690. 
• M. Grewal. Delft University of Technology (employee of CWI). Appointed on NWO-TTW OTP Programme Project 15586. 
• A. Dushatskiy. Delft University of Technology (employee of CWI). Appointed on NWO-ENW Joint eScience and Data Science across Top Sectors Project FEDMix.
• P.A. Bouter. Delft University of Technology (employee of CWI). Appointed on NWO IPPSI-TA Project No. 628.006.003.
• S.C. Maree. University of Amsterdam. Appointed on NWO IPPSI-TA Project No. 628.006.003.
• M. Virgolin. Delft University of Technology (employee of CWI). Appointed on KiKa Project #187.
• Z. Wang. University of Amsterdam. Appointed on KiKa Project #187.
• M. Machiels. University of Amsterdam. Appointed on internal funding.
• S.C. Huijskens. University of Amsterdam. Appointed on KiKa Project #162 and Dutch Cancer Society Project No. 2016-10113. Ph.D. defense May 17, 2019.
• M.P. Jelvehgaran. University of Amsterdam. Appointed on a project funded by The Netherlands organization for health and development (ZonMw), Elekta Ltd, and NinePoint Medical, Inc. Ph.D. defense November 29, 2019.
• K. Pirpinia. University of Amsterdam (employee of NKI-AVL). Appointed on Dutch Cancer Society Project Grant No. NKI 2012-5716.
• P. Jin. University of Amsterdam. Appointed on a research project funded by Elekta. Ph.D. defense January 31, 2019.

Radiation Therapist

• J. de Vries. Appointed on NWO-TTW OTP Programme Project 15586. 2018-2022.

M.Sc. students

• N.C. Buntsma. "Generalisation of planning objectives for bi-objective HDR prostate brachytherapy treatment planning software", Minor Master Research Project, Medical Natural Sciences, VU University Amsterdam. 2018.
• E.S. Kooreman. “Evaluation of Prostate Brachytherapy Treatment Plan Optimization”, Major Master Research Project, Medical Natural Sciences, VU University Amsterdam. 2017.
• P. Georgiou. “Feasibility of Optical Coherence Tomography to Detect Esophageal Tumor Borders: An Ex-Vivo Study’. Minor Master Research Project, Medical Natural Sciences, VU University Amsterdam. 2017.
• P. Georgiou. “Endoscopic imaging and resection techniques to diagnose, monitor, and treat early esophageal cancer: a review”. Literature Thesis, Medical Natural Sciences, VU University Amsterdam. 2017.
• S.C. Huijskens. “Evaluating robust proton treatment plans for pediatric tumors”. Minor Master Research Project, Biomedical Engineering, University of Groningen. 2014.

B.Sc. students

• M.C.E. van der Plas. “Robustness of the dose in the overlap region in cranio-spinal irradiation: pencil beam scanning proton therapy versus intensity modulated photon therapy”. Bachelor Research Project, Medical Natural Sciences, VU University Amsterdam. 2014.

Other

• N. van Rijn. “Investigation on interfractional deformation of the esophagus in esophageal cancer radiotherapy”. Graduation Project, Medisch Beeldvormende en Radiotherapeutische Technieken, Fontys Hogescholen, Eindhoven. 2016.

Co-supervisor
M.Sc. students

• I.K. Bones. “4D Magnetic Resonance Imaging for Radiation therapy”. Major Master Research Project, Biomedical Engineering, FH Aachen, University of Applied Sciences. 2016.
• D.R. Tekelenburg. “Clinically feasible 4D-MRI for respiratory management of abdominal structures in radiotherapy”. Major Master Research Project, Applied Physics, University of Groningen. 2016.

B.Sc. students

• A.E. Preuter. “Digitization of and feature extraction from 2D radiation therapy simulator films”. Bachelor Research Project, Medical Natural Sciences, VU University Amsterdam. 2017.
• R.A. Gravemaker. The influence of tumour growth rate and amount of fractions of radiation on tumour control probability (TCP) curves”. Bachelor Research Project, Mathematics and Physics, University of Amsterdam. 2016.
• A. Gonçalves. “Comparison between methods for extracting breathing signals from CBCT images”. Bachelor Summer Internship, Biomedical Engineering and Biophysics, University of Lisbon. 2014.

 

Research activities

Ph.D. committee member
- Gerben Schooneveldt. Optimizing hyperthermia delivery in the bladder by computationl fluid dynamics powered treatment planning. University of Amsterdam. 2019.
- Yuchuan Qiao. Fast optimization methods for image registration in adaptive radiation therapy. University of Leiden. 2017.

Research grant committee member
- OTP programme of STW (NWO-TTW). 2018.

Journals regularly reviewed for
- International Journal of Radiation Oncology, Biology, Physics (IJROBP)
- Radiotherapy and Oncology
- Investigative Radiology
- International Journal of Computer Assisted Radiology and Surgery
- IEEE Transactions on Medical Imaging
- Computer Methods and Programs in Biomedicine (CMPB)

Other reviewing tasks
- ASME Transactions, Journal of Computing and Information Science in Engineering (JCISE), special issue on “Simulation and Gaming for Engineering”, 2010.

Conference abstract reviewing committee
- ESTRO, 2020.
- ESTRO 37, 2018.
- ESTRO 36, 2017.

Programme committee
- Real World Applications track of the Genetic and Evolutionary Computation Conference (GECCO-2020), 2020.
- Real World Applications track of the Genetic and Evolutionary Computation Conference (GECCO-2019), 2019.
- ICT.OPEN 2018, Health track, 2018.

Symposium co-chair
- Dose mapping and dose accumulation symposium, ESTRO 37, 2018.

Invited talks
- Invited lecture at the “Hei-session” of the Minimally Invasive Surgery and Interventional Techniques (MISIT) of the TU Delft, 20 November 2001.

 

Educational activities

Exam committee member
- J. Linders, Deep learning applied to the diagnosis of Alzheimer’s disease. MS.c. graduation research project at the Biomedical Imaging Group Rotterdam of the Erasmus MC – University Medical Center Rotterdam for graduation at the University of Amsterdam, 2019.
- J. Kieft, Development and validation of a multibody guidewire model for a training simulator in interventional radiology. MS.c. graduation research project. Delft Technical University, Faculty of Mechanical, Maritime and Materials Engineering, Department of Biomechanical Engineering. 2008.

Assistant Lecturer
- Presenter of a 1 hour lecture for medicine students, introducing the applications of computer science in medicine. 2002-2003.

Student teaching assistant
- Various homework sessions (werkcolleges) and practical works (practica) for courses “Beschrijven en Bewijzen”, “Concrete Wiskunde”, “Expert Systems”, and “Algorithms and Data Structures” at Utrecht University. 1997-2000.
2008

 

Other activities

• Coordinator and chair of the scientific clinical and research presentations at the department of Radiation Oncology, Academic Medical Center, the Netherlands. 2013-2016.
• Internship coordinator for the research projects that are done by BSc and MSc students at the department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, the Netherlands. 2012-Current.
• Registered in the BROK-register (BROK: Basiscursus Regelgeving en Organisatie voor Klinisch onderzoekers) of the Nederlandse Federatie van Universitair Medische Centra (NFU) (exam date: 28-5-2013).
• Organization of NKI-AVL Radiotherapy Research Retreat, Koninklijk Theater Carré, Amsterdam, the Netherlands, 18 November 2010.
• Leading role in the implementation of radioactive seed localization for breast cancer in The Netherlands Cancer Institute – Antoni van Leeuwenhoek Hospital (NKI-AVL). Multiple departments (radionuclide laboratory, radiology, surgery, and pathology) were involved. 2007-2008.

 

Publications

Ph.D. Thesis

• T. Alderliesten. Simulation of minimally-invasive vascular interventions for training purposes. Ph.D. thesis, Utrecht University, Utrecht, the Netherlands, 2004.

M.Sc. Thesis

• T. Alderliesten. Objective and reproducible segmentation and quantification of tuberous sclerosis lesions in FLAIR brain MR images. Utrecht University, Utrecht, the Netherlands, M.Sc. thesis INF/SCR-2000-09, 2000.

Articles in international journals

• Z. Wang, M. Virgolin, P.A.N. Bosman, K.F. Crama, B.V. Balgobind, A. Bel, T. Alderliesten. Automatic generation of 3D dose reconstruction data for 2D radiotherapy plans for historically treated patients. Journal of Medical Imaging, 2020. [Accepted for publication]  
• M. Virgolin, T. Alderliesten, P.A.N. Bosman. On explaining machine learning models by evolving crucial and compact features. Swarm and Evolutionary Computation, vol. 53, 100640, 2020.
• M. Machiels, M.L. van Montfoort, N.B. Thuijs, M.I. van Berge Henegouwen, T. Alderliesten, S.L. Meijer, J.E. van Hooft, M.C.C.M. Hulshof. Microscopic tumor spread beyond (echo)endoscopically determined tumor borders in esophageal cancer. Radiation Oncology, vol. 14, issue 1, pages 219, 2019.
• N.H. Luong, T. Alderliesten, B.R. Pieters, A. Bel, Y. Niatsetski, P.A.N. Bosman. Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy. Applied Soft Computing, vol. 84, 105681, 2019.
• M. Machiels, F.E.M. Voncken, P. Jin, J.M. van Dieren, A. Bartels-Rutten, T. Alderliesten, B.M.P. Aleman, J.E. van Hooft, M.C.C.M. Hulshof. A novel liquid fiducial marker in esophageal cancer image-guided radiotherapy: technical feasibility and visibility on imaging. Practical Radiation Oncology, vol. 9, issue 6, pages: e506-e515, 2019.
• A. Bouter, T. Alderliesten, B.R. Pieters, A. Bel, Y. Niatsetski, P.A.N. Bosman. GPU-accelerated bi-objective treatment planning for prostate high-dose-rate brachytherapy. Medical Physics, vol. 46, issue 9, pages 3776-3787, 2019.
• K. Pirpinia, P.A.N. Bosman, J.-J. Sonke, M. van Herk, T. Alderliesten. Evolutionary machine learning for multi-objective class solutions in medical deformable image registration. Evolutionary Algorithms in Health Technologies, vol. 12, issue 5, pages 99, 2019.
• P. Jelvehgaran, D.M. de Bruin, A. Khmelinskii, G. Borst, J.D. Steinberg, J.-Y. Song, J. de Vos, T.G. van Leeuwen, T. Alderliesten, J.F. de Boer, M. Van Herk. Optical coherence tomography to detect acute esophageal radiation-induced damage in mice: a validation study. . Journal of Biophotonics, vol. 12, issue 9, pages e201800440, 2019.
• Z. van Kesteren, A. van der Horst, O.J. Gurney-Champion, I. Bones, D. Tekelenburg, T. Alderliesten, G. Van Tienhoven, R. Klaassen, H.W.M. van Laarhoven, A. Bel. A novel amplitude binning strategy to handle irregular breathing during 4DMRI acquisition: improved imaging for radiotherapy purposes. Radiation Oncology, vol. 14, issue 1, pages 80, 2019.
• Z. Wang, B.V. Balgobind, M. Virgolin, I.W.E.M. van Dijk, J. Wiersma, C.M. Ronckers, P.A.N. Bosman, A. Bel, T. Alderliesten. How do patient characteristics and anatomical features correlate to accuracy of organ dose reconstruction of Wilms’ tumor radiation treatment plans when using a surrogate patient’s CT scan? Journal of Radiological Protection, vol. 39, issue 2, pages 598-619, 2019.
• M. Machiels. P. Jin, J.E. van Hooft, O.J. Gurney-Champion, P. Jelvehgaran, E.D. Geijsen, P.M. Jeene, M.W. Kolff, V. Oppedijk, C.R.N. Rasch, M.B. van Herk, T. Alderliesten, M.C.C.M. Hulshof. Reduced inter-observer and intra-observer delineation variation in esophageal cancer radiotherapy by use of fiducial markers. Acta Oncologica, vol. 58, issue 6, pages 943-950, 2019. 
• M.C. van der Meer, P.A.N. Bosman, B.R. Pieters, Y. Niatsetski, N. van Wieringen, T. Alderliesten, A. Bel. Sensitivity of dose-volume indices to computation settings in high-dose-rate prostate brachytherapy treatment plan evaluation. Journal of Applied Clinical Medical Physics, vol. 20, issue 4, pages 66-74, 2019.
• S.C. Maree, N.H. Luong, E.S. Kooreman, N. van Wieringen, A. Bel, K.A. Hinnen, H. Westerveld, B.R. Pieters, P.A.N. Bosman, T. Alderliesten. Evaluation of bi-objective treatment planning for high-dose-rate prostate brachytherapy – A retrospective observer study. Brachytherapy, vol. 18, issue 3, pages 396-403, 2019.
• S.C. Huijskens, I.W.E.M. van Dijk, J. Visser, B.V. Balgobind, C.R.N. Rasch, T. Alderliesten, A. Bel. The effectiveness of 4DCT in children and adults: a pooled analysis. Journal of Applied Clinical Medical Physics, vol. 20, issue 1, pages: 276-283, 2019.
• P.Jin, M. Machiels, K.F. Crama, J. Visser, N. van Wieringen, A. Bel, M.C.C.M. Hulshof, T. Alderliesten. Dosimetric benefits of midposition compared with internal target volume strategy for esophageal cancer radiotherapy. International Journal of Radiation Oncology • Biology • Physics, vol. 103, issue 2, pages: 491-502, 2019.
• K. Pirpinia, P.A.N. Bosman, C.E. Loo, N.S. Russell, M.B. van Herk, T. Alderliesten. Simplex-based navigation tool for a posteriori selection of the preferred deformable image registration outcome from a set of trade-off solutions obtained with multiobjective optimization for the case of breast MRI.  Journal of Medical Imaging, vol. 5, issue 4, 045501. 2018.
• S.C. Huijskens, I.W.E.M. van Dijk, J. Visser, B.V. Balgobind, C.R.N. Rasch, T. Alderliesten, A. Bel. Predictive value of pediatric respiratory-induced diaphragm motion quantified using pre-treatment 4DCT and CBCTs. Radiation Oncology, vol. 13, issue 1, pages 198, 2018.
• P. Jin, K.F. Crama, J. Visser, N. Van Wieringen, A. Bel, M.C.C.M. Hulshof, T. Alderliesten. Density override in treatment planning to mitigate the dosimetric effect induced by gastrointestinal gas in esophageal cancer radiation therapy. Acta Oncologica, vol. 57, issue 12, pages 1646-1654, 2018.
• S.C. Huijskens, I.W.E.M. van Dijk, J. Visser, B.V. Balgobind, D. te Lindert, C.R.N. Rasch, T. Alderliesten, A. Bel. Abdominal organ position variation in children during image-guided radiotherapy. Radiation Oncology, vol. 13, issue 1, 173, 2018.
• P. Jelvehgaran, T. Alderliesten, G. Georgiou, S.L. Meijer, P.R. Bloemen, L.L. Kodach, H.W.M. van Laarhoven, M.I. van Berge Henegouwen, M.C.C.M. Hulshof, C.R.N. Rasch, T.G. van Leeuwen, J.F. de Boer, M. de Bruin, M. van Herk. Feasibility of using optical coherence tomography to detect radiation-induced fibrosis and residual cancer extent after neoadjuvant chemo-radiation therapy: an ex vivo study. Biomedical Optics Express, vol. 9, issue 9, pages 4196-4216, 2018.
• T. Alderliesten, W.D. Heemsbergen, A. Betgen, R. Topolnjak, P.H.M. Elkhuizen, C. van Vliet-Vroegindeweij, P. Remeijer. Breast-shape changes during radiation therapy after breast-conserving surgery. Physics and Imaging in Radiation Oncology., vol. 6, pages: 71-76, 2018.
• Z. Wang, I.W.E.M. van Dijk, J. Wiersma, C.M. Ronckers, F. Oldenburger, B.V. Balgobind, P.A.N. Bosman, A. Bel, T. Alderliesten. Are age and gender suitable matching criteria in organ dose reconstruction using surrogate childhood cancer patients’ CT scans? Medical Physics, vol. 45, issue 6, pages 2628-2638, 2018.
• P. Jelvehgaran, M. de Bruin, F.J. Salguero, G. Borst, J.-Y. Song, T.G. van Leeuwen, J.F. de Boer, T. Alderliesten, M. van Herk. Feasibility of using optical coherence tomography to detect acute radiation-induced esophageal damage in small animal models. Journal of Biomedical Optics, vol. 23, issue 4, pages 1-12, 2018.
• M. Virgolin, I.W.E.M. van Dijk, J. Wiersma, C.M. Ronckers, C. Witteveen, A. Bel, T. Alderliesten, P.A.N. Bosman. On the feasibility of automatically selecting similar patients in highly individualized radiotherapy dose reconstruction for historic data of pediatric cancer survivors. Medical Physics, vol. 45, issue 4, pages 1504-1517, 2018.
• M. Machiels, P. Jin, C.H. van Gurp, J.E. van Hooft, T. Alderliesten, M.C.C.M. Hulshof. Comparison of carina-based versus bony anatomy-based registration for setup verification in esophageal cancer radiotherapy. Radiation Oncology. vol. 13, issue 1, 48, 2018.
• H. Sharei, T. Alderliesten, J.J. van den Dobbelsteen, J. Dankelman. Navigation of guidewires and catheters in the body during intervention procedures: a review of computer-based models. Journal of Medical Imaging, vol. 5, issue 1, 010902, 2018.
• P. Jin, N. van Wieringen, M.C.C.M. Hulshof, A. Bel, T. Alderliesten. Tailoring 4D cone-beam CT acquisition settings for fiducial marker-based image guidance in radiation therapy. Journal of Medical Imaging, vol. 5, issue 2, 021207, 2018. Special section on image-guided procedures, robotic interventions, and modeling.
• N.H. Luong, T. Alderliesten, A. Bel, Y. Niatsetski, P.A.N. Bosman. Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment. Swarm and Evolutionary Computation, vol. 40, pages 37-52, 2018.
• P. Jelvehgaran, T. Alderliesten, J.J.A. Weda, M. de Bruin, D.J. Faber, M.C.C.M. Hulshof, T.G. van Leeuwen, M. van Herk, J.F. de Boer. Visibility of fiducial markers used for image-guided radiation therapy on optical coherence tomography for registration with CT: an esophageal phantom study. Medical Physics, vol. 44, issue 12, pages 6570-6582, 2017.
• P. Jin, M.C.C.M. Hulshof, N. van Wieringen, A. Bel, T. Alderliesten. Interfractional variability of respiration-induced esophageal tumor motion quantified using fiducial markers and four-dimensional cone-beam computed tomography. Radiotherapy & Oncology, vol. 124, issue 1, pages 147-154, 2017.
• K. Pirpinia, P. Bosman, C. Loo, G. Winter-Warnars, N. Janssen, A. Scholten, J.J. Sonke, M. van Herk, T. Alderliesten. The feasibility of manual parameter tuning for deformable breast MR image registration form a multi-objective optimization perspective. Physics in Medicine and Biology, vol. 62, issue 14, pages 5723-5743, 2017.
• S.C. Huijskens, I.W.E.M. van Dijk, J. Visser, C.R.N. Rasch, T. Alderliesten, A. Bel. Magnitude and variability of respiratory-induced diaphragm motion in children during image-guided radiotherapy. Radiotherapy & Oncology, vol. 123, issue 2, pages 263-269, 2017.
• I.W.E.M. van Dijk, S.C. Huijskens, R. de Jong, J. Visser, R. Dávila Fajardo, C.R.N. Rasch, T. Alderliesten, A. Bel. Interfractional renal and diapgragmatic position variation during radiotherapy in children and adults: is there a difference? Acta Oncologica, vol. 56, pages 1065-1071, 2017.
• N.N.Y. Janssen, L.C. ter Beek, C.E. Loo, G. Winter-Warnars, C.A. Lange, M. van Loveren, T. Alderliesten, J-J. Sonke, J. Nijkamp. Supine breast MRI using respiratory triggering. Academic Radiology, vol. 24, issue 7, pages 818-825, 2017.
• P. Jin, M.C. Hulshof, R. de Jong, J.E. van Hooft, A. Bel, T. Alderliesten. Quantification of respiration-induced esophageal tumor motion using fiducial markers and four-dimensional computed tomography, Radiotherapy & Oncology, 2016, vol. 118, issue 3, pages 492-497, 2016.
• N.N. Janssen, J. Nijkamp, T. Alderliesten, C.E. Loo, E.J. Rutgers, J-J. Sonke, M.T. Vrancken Peeters. Radioactive seed localization in breast cancer treatment. British Journal of Surgery, vol. 103, issue 1, pages 70-80, 2016.
• P. Jin, A. van der Horst, R. de Jong, J.E. van Hooft, M. Kamphuis, N. van Wieringen, M. Machiels, A. Bel, M.C. Hulshof, T. Alderliesten. Marker-based quantification of interfractional tumor position variation and the use of markers for setup verification in radiation therapy for esophageal cancer, Radiotherapy & Oncology, vol. 117, issue 3, pages 412-418, 2015. Selected as Issue Highlight.
• S.C. Huijskens, I.W. van Dijk, R. de Jong, J. Visser, R.D. Fajardo, C.M. Ronckers, G.O. Janssens, J.H. Maduro, C.R. Rasch, T. Alderliesten, A. Bel. Quantification of renal and diaphragmatic interfractional motion in pediatric image-guided radiation therapy: A multicenter study, Radiotherapy & Oncology, vol. 117, issue 3, pages 425-431, 2015.
• M. Machiels, J.E. van Hooft, P. Jin, M.I. van Berge Henegouwen, H.W.M. van Laarhoven, T. Alderliesten, M.C.C.M. Hulshof. Endoscopy/EUS-guided fiducial marker placement in patients with esophageal cancer: a comparative analysis of 3 types of markers, Gastrointestinal Endoscopy, vol. 82, issue 4, pages 641-649, 2015.
• T. Alderliesten, A. Betgen, P.H.M. Elkhuizen, C. van Vliet-Vroegindeweij, P. Remeijer. Estimation of heart-position variability in 3D-surface-image-guided deep-inspiration breath-hold radiation therapy for left-sided breast cancer, Radiotherapy & Oncology, vol. 109, issue 3, pages 442-447, 2013.
• A. Betgen, T. Alderliesten, J.-J. Sonke, C. van Vliet-Vroegindeweij, H. Bartelink, P. Remeijer. Assessment of set-up variability during deep inspiration breath hold radiotherapy for breast cancer patients by 3D-surface imaging, Radiotherapy & Oncology, vol. 106, issue 2, pages 225-230, 2013.
• T. Alderliesten, J.J. Sonke, A. Betgen, J. Honnef, C. van Vliet-Vroegindeweij, P. Remeijer. Accuracy evaluation of a 3-dimensional surface imaging system for guidance in deep-inspiration breath-hold radiation therapy, International Journal of Radiation Oncology • Biology • Physics, vol. 85, issue 2, pages 536-542, 2013.
• M. Donker, C.A. Drukker, R.A. Valdés Olmos, E.J.Th. Rutgers, C.E. Loo, G.S. Sonke, J. Wesseling, T. Alderliesten, M. T. F. D. Vrancken Peeters. Guiding breast-conserving surgery in patients after neoadjuvant systemic therapy for breast cancer. A comparison of radioactive seed localization with the ROLL technique, Annals of Surgical Oncology, vol. 20, pages 2569-2575, 2013.
• T. Alderliesten, J.J. Sonke, A. Betgen, C. van Vliet-Vroegindeweij, P. Remeijer. 3D surface imaging for monitoring intrafraction motion in frameless stereotactic body radiotherapy of lung cancer, Radiotherapy & Oncology, vol. 105, issue 2, pages 155-160, 2012.
• A.C. Schmitz, K.E. Pengel, C.E. Loo, M.A. van den Bosch, J. Wesseling, M. Gertenbach, T. Alderliesten, W.P. Mali, E.J. Rutgers, H. Bartelink, K.G. Gilhuijs. Pre-treatment imaging and pathology characteristics of invasive breast cancers of limited extent: potential relevance for MRI-guided localized therapy, Radiotherapy & Oncology, vol. 104, pages 11-18, 2012.
• T. Alderliesten, C.E. Loo, K.E. Pengel, E.J.Th. Rutgers, K.G.A. Gilhuijs, and M.T.F.D. Vrancken Peeters. Radioactive seed localization of breast lesions: an adequate localization method without seed migration, The Breast Journal, vol. 17, issue 6, pages 594-601, 2011.
• T. Alderliesten, S. den Hollander, J. Yang, P.H.M. Elkhuizen, A.M. van Mourik, C. Hurkmans, P. Remeijer, C. van Vliet-Vroegindeweij. Dosimetric impact of post-operative seroma reduction during radiotherapy after breast-conserving surgery, Radiotherapy & Oncology, vol. 100, pages 265-270, 2011.
• M.E. Straver, C.E. Loo, T. Alderliesten, E.J.Th. Rutgers, M.T.F.D. Vrancken Peeters. Marking the axilla with radioactive iodine seeds (MARI procedure) may reduce the need for axillary dissection after neoadjuvant chemotherapy for breast cancer. C. E. Cox, C. Shamehdi. Breast Diseases: A Year Book Quarterly, vol. 22, issue 1, pages 70-72, 2011; doi: https://c4191z5tkdqu6.sec.amc.nl/10.1016/j.breastdis.2011.01.029.
• T. Alderliesten, C.E. Loo, A. Paape, S. Muller, E.J.Th. Rutgers, M.T.F.D. Vrancken Peeters, K.G.A. Gilhuijs. On the feasibility of MRI-guided navigation to demarcate breast cancer for breast-conserving surgery. Medical Physics, vol. 37, issue 6, pages 2617-2626, 2010.
• M. Straver, C.E. Loo, T. Alderliesten, E.J.Th. Rutgers, M.T.F.D. Vrancken Peeters. Marking the axilla with radioactive iodine seeds (MARI procedure) may reduce the need for axillary dissection after neoadjuvant chemotherapy for breast cancer. British Journal of Surgery, vol. 97, issue 8, pages 1226-1231, 2010.
• J. Stroom, A. Schlief, T. Alderliesten, H. Peterse, H. Bartelink, K. Gilhuijs. Using histopathology breast cancer data to reduce clinical target volume margins at radiotherapy. International Journal of Radiation Oncology • Biology • Physics, vol. 74, issue 3, pages 898-905, 2009.
• T. Alderliesten, P.A.N. Bosman, W.J. Niessen. Towards a real-time minimally-invasive vascular intervention simulation system. IEEE Transactions on Medical Imaging, vol. 26, issue 1, pages 128-132, 2007.
• T. Alderliesten, M.K. Konings, W.J. Niessen. Modelling friction, intrinsic curvature and rotation of guide wires for simulation of minimally-invasive vascular interventions. IEEE Transactions on Biomedical Engineering, vol. 54, issue 1, pages 29-38, 2007.
• T. Alderliesten, A. Schlief, J. Peterse, C. Loo, H. Teertstra, S. Muller, K. Gilhuijs. Validation of semiautomatic measurement of the extent of breast tumors using contrast-enhanced magnetic resonance imaging. Investigative Radiology, vol. 42, no. 1, pages 42-49, 2007.
• T. Alderliesten, M.K. Konings, W.J. Niessen. Robustness and complexity of a minimally invasive vascular intervention simulation system. Medical Physics, vol. 33, issue 12, pages 4758-4769, 2006.
• T. Alderliesten, M.K. Konings, W.J. Niessen. Simulation of minimally invasive vascular interventions for training purposes. Computer Aided Surgery, vol. 9, no. 1-2, pages 3-15, 2004.
• M.K. Konings, E.B. van de Kraats, T. Alderliesten, W.J. Niessen. Analytical guide wire motion algorithm for simulation of endovascular interventions. Medical & Biological Engineering & Computing, vol. 41, pages 689-700, 2003.

Papers in international conference proceedings 

• A. Dushatskiy, A.M. Mendrik, P.A.N. Bosman, T. Alderliesten. Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms. Accepted for publication in SPIE Medical Imaging 2020 Proceedings.
• M. Grewal, T.M. Deist, J. Wiersma, P.A.N. Bosman, T. Alderliesten. An unsupervised deep learning approach for landmark detection and matching in medical images. Accepted for publication in SPIE Medical Imaging 2020 Proceedings.
• M. Virgolin, Z. Wang, T. Alderliesten, P.A.N. Bosman. Machine learning for automatic construction of pediatric abdominal phantoms for radiation dose reconstruction. Accepted for publication in SPIE Medical Imaging 2020 Proceedings.
• M. Virgolin, T. Alderliesten, P.A.N. Bosman. Linear Scaling with and within Semantic Backpropagation-based Genetic Programming for Symbolic Regression. Accepted for publication In Proceedings of the Genetic and Evolutionary Computation Conference – GECCO 2019, pages: 1084-1092, ACM Press, New York, New York, 2019.
• A. Dushatskiy, A. Medrik, T. Alderliesten, P.A.N. Bosman. Convolutional neural network surrogate-assisted GOMEA. Accepted for publication In Proceedings of the Genetic and Evolutionary Computation Conference – GECCO 2019, pages: 753-761, ACM Press, New York, New York, 2019.
• S.C. Maree, T. Alderliesten, P.A.N. Bosman. Real-valued Evolutionary Multi-modal Multi-objective Optimization by Hill-valley Clustering. Accepted for publication In Proceedings of the Genetic and Evolutionary Computation Conference – GECCO 2019, pages: 568-576, ACM Press, New York, New York, 2019.
• Z. Wang, M. Virgolin, P.A.N. Bosman, B. Balgobind, A. Bel, T. Alderliesten. Automatic radiotherapy plan emulation for 3D dose reconstruction to enable big data analysis for historically treated patients. Proc. SPIE 10954, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications, 109540V Medical Imaging 2019. doi: 10.1117/12.2512758.
• K. Pirpinia, P.A.N. Bosman, J.-J. Sonke, M. van Herk, T. Alderliesten. Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. Proc. SPIE 10949, Medical Imaging 2019: Image Processing, 1094939; doi: 10.1117/12.2512760.
• A. Bouter, T. Alderliesten, A. Bel, C. Witteveen, P.A.N. Bosman. Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems. In Proceedings of the Genetic and Evolutionary Computation Conference – GECCO 2018, pages: 1199-1206, ACM Press, New York, New York, 2018.
• N.H. Luong, T. Alderliesten, P.A.N. Bosman. Improving the performance of MO-RV-GOMEA on problems with many objectives using Tchebycheff scalarizations. In Proceedings of the Genetic and Evolutionary Computation Conference – GECCO 2018, pages: 705-712, ACM Press, New York, New York, 2018.
• S. Maree, T. Alderliesten, D. Thierens, P.A.N. Bosman. Real-valued evolutionary multi-modal optimization driven by hill-valley clustering. In Proceedings of the Genetic and Evolutionary Computation Conference – GECCO 2018, pages: 857-864, ACM Press, New York, New York, 2018.
• M. Virgolin, T. Alderliesten, A. Bel, C. Witteveen, P.A.N. Bosman. Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors. In Proceedings of the Genetic and Evolutionary Computation Conference – GECCO 2018, ACM Press, New York, New York, 2018.
• M. van der Meer, B. Pieters, Y. Niatsetski, T. Alderliesten, A. Bel, P.A.N. Bosman. Better and faster catheter position optimization in HDR brachytherapy for prostate cancer using multi-objective real-valued GOMEA. In Proceedings of the Genetic and Evolutionary Computation Conference – GECCO 2018, pages: 1387-1394, ACM Press, New York, New York, 2018.
• K.L. Sadowski, M.C. van der Meer, N.H. Luong, T. Alderliesten, D. Thierens, R. van der Laarse, Y. Niatsetski, A. Bel, P.A.N. Bosman. Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm. In G. Ochoa et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2017, pages 1224-1231, ACM Press, New York, New York, doi: 10.1145/3071178.3071311, 2017.
• S.C. Maree, T. Alderliesten, D. Thierens, P.A.N. Bosman. Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning. In G. Ochoa et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2017, pages 713-720, ACM Press, New York, New York; doi: 10.1145/3071178.3071283, 2017.
• M. Virgolin, T. Alderliesten, C. Witteveen, P.A.N. Bosman. Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building block learning. In G. Ochoa et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2017, pages 1041-1048, ACM Press, New York, New York; doi: 10.1145/3071178.3071287, 2017.
• A. Bouter, T. Alderliesten, C. Witteveen, P.A.N. Bosman. Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithm. In G. Ochoa et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2017, pages 705-712, ACM Press, New York, New York; doi: 10.1145/3071178.3071272, 2017. [Nominated for Best Paper Award]
• A. Bouter, N.H. Luong, C. Witteveen, T. Alderliesten, P.A.N. Bosman. The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm. In G. Ochoa et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO-2017, pages 537-544, ACM Press, New York, New York; doi: 10.1145/3071178.3071274, 2017.
• A. Bouter, T. Alderliesten, P.A.N. Bosman. A novel model-based evolutionary algorithm for multi-objective deformable image registration with content mismatch and large deformations: benchmarking efficiency and quality. SPIE Medical Imaging 2017. In M.A. Styner and E.D. Angelini, editors, Proceedings of the SPIE Medical Imaging Conference 2017. 1013312; doi:10.1117/12.2254144, SPIE, Bellingham, WA, 2017.
• P.A.N. Bosman, T. Alderliesten. Smart grid initialization reduces the computational complexity of multi-objective image registration based on a dual-dynamic transformation model to account for large anatomical differences. Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 978447; doi: 10.1117/12.2217011, 2016.
• K. Pirpinia, P.A.N. Bosman, J-J. Sonke, M.B. van Herk, T. Alderliesten. A first step toward uncovering the truth about weight tuning in deformable image registration. Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 978445; doi: 10.1117/12.2216370, 2016.
• P. Jin, N. van Wieringen, M.C.C.M. Hulshof, A. Bel, T. Alderliesten. 4D cone-beam CT imaging for guidance in radiation therapy: setup verification by use of implanted fiducial markers. Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 97862N; doi: 10.1117/12.2216359, 2016.
• K. Pirpinia, T. Alderliesten, J.-J. Sonke, M. van Herk, P.A.N. Bosman. Diversifying multi-objective gradient techniques and their role in hybrid multi-objective evolutionary algorithms for deformable medical image registration. In Proceedings of the Genetic and Evolutionary Computation Conference – GECCO, 1255-1262, doi:10.1145/2739480.2754719, 2015.
• T. Alderliesten, P.A.N. Bosman, A. Bel. Getting the most out of additional guidance information in deformable image registration by leveraging multi-objective optimization. Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94131R (March 20, 2015); doi:10.1117/12.2081438.
• K. Pirpinia, P.A.N. Bosman, J.-J. Sonke, M. van Herk, T. Alderliesten. On the usefulness of gradient information in multi-objective deformable image registration using a B-spline-based dual-dynamic transformation model: comparison of three optimization algorithms. Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 941339 (March 20, 2015); doi:10.1117/12.2082172.
• T. Alderliesten, P.A.N. Bosman, J.J. Sonke, A. Bel. A multi-resolution strategy for a multi-objective deformable image registration framework that accommodates large anatomical differences. Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90343G; doi:10.1117/12.2042856; https://c4191z5tkdqu6.sec.amc.nl/10.1117/12.2042856.
• T. Alderliesten, J.J. Sonke, P.A.N. Bosman. Deformable image registration by multi-objective optimization using a dual-dynamic transformation model to account for large anatomical differences. Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866910; doi:10.1117/12.2006783; https://c4191z5tkdqu6.sec.amc.nl/10.1117/12.2006783.
• T. Alderliesten, A. Betgen, C. van Vliet-Vroegindeweij, P. Remeijer. 3D surface imaging for guidance in breast cancer radiotherapy – organs at risk. Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 86710G; doi:10.1117/12.2006780; https://c4191z5tkdqu6.sec.amc.nl/10.1117/12.2006780.
• T. Alderliesten, A. Betgen, C. van Vliet-Vroegindeweij, P. Remeijer. Validation of 3D surface imaging in breath-hold radiotherapy for breast cancer – one central camera unit versus three camera units. Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 86710F; doi:10.1117/12.2006768; https://c4191z5tkdqu6.sec.amc.nl/10.1117/12.2006768.
• P.A.N. Bosman and T. Alderliesten. Incremental Gaussian model-building in multi-objective EDAs with an application to deformable image registration. In Proceedings of the Genetic and Evolutionary Computation Conference – GECCO, 241-248, doi:10.1145/2330163.2330199, 2012.
• T. Alderliesten, J.J. Sonke, P.A.N. Bosman. Multi-objective optimization for deformable image registration: proof of concept. Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 831420; doi:10.1117/12.911268; https://c4191z5tkdqu6.sec.amc.nl/10.1117/12.911268.
• T. Alderliesten, J.J. Sonke, A. Betgen, J. Honnef, C. van Vliet-Vroegindeweij, P. Remeijer. Application of 3D surface imaging in breast cancer radiotherapy. Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 83160A; doi:10.1117/12.911242; https://c4191z5tkdqu6.sec.amc.nl/10.1117/12.911242.
• T. Alderliesten, C.E. Loo, A.T.E.F. Schlief, A. Paape, M. van der Meer, K.G.A. Gilhuijs. Application of an image-guided navigation system in breast cancer localization. Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 726111; doi: 10.1117/12.811121; https://c4191z5tk.sec.amc.nl/org/10.1117/12.811121.
• T. Alderliesten, M.K. Konings, W.J. Niessen. Simulation of guide wire propagation for minimally invasive vascular interventions. In Proceedings of Medical Image Computing and Computer-Assisted Intervention – MICCAI 2002, Lecture Notes in Computer Science, vol. 2489, part II, pages 245-252, Springer-Verlag, 2002; https://cbkoth1efskcdnj.sec.amc.nl/10.1007/3-540-45787-9_31.
• T. Alderliesten, W.J. Niessen, K.L. Vincken, J.B.A. Maintz, F.E. Jansen, O. van Nieuwenhuizen, M.A. Viergever. Objective and reproducible segmentation and quantification of tuberous sclerosis lesions in FLAIR brain MR images. Proc. SPIE 4322, Medical Imaging 2001: Image Processing, pages 1509-1518, SPIE press; doi: 10.1117/12.431033; https://c4191z5tkdqu6.sec.amc.nl/10.1117/12.431033.

Papers in international workshop proceedings

• N.H. Luong, A. Bouter, M.C. van der Meer, Y. Niatsetski, C. Witteveen, A. Bel, T. Alderliesten, P.A.N. Bosman. Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. In S.L. Smith, S. Cagnoni, and R.M. Patton, organisers, Proceedings of the Medical Applications of Genetic and Evolutionary Computation MedGEC Workshop at the Genetic and Evolutionary Computation Conference - GECCO-2017, pages 1372-1379, ACM Press, New York, New York; doi: 10.1145/3067695.3082491, 2017.
• A. Bouter, K. Pirpinia, T. Alderliesten, P.A.N. Bosman. Spatial redistribution of irregularly-spaced Pareto fronts for more intuitive navigation and solution selection. In D. Walker et al., organisers, Proceedings of the Visualisation in Genetic and Evolutionary Computation VizGEC Workshop at the Genetic and Evolutionary Computation Conference - GECCO-2017, pages 1697-1704, ACM Press, New York, New York; doi: 10.1145/3067695.3082555, 2017.
• P.A.N. Bosman and T. Alderliesten. Evolutionary Algorithms for Medical Simulations - A Case Study in Minimally-Invasive Vascular Interventions. In Proceedings of the Medical Applications of Genetic and Evolutionary Computation MedGEC Workshop at the Genetic and Evolutionary Computation Conference - GECCO, pages 125-132, ACM Press, New York, New York; doi: 10.1145/1102256.1102286, 2005.
• T. Alderliesten, M.K. Konings, E.B. Van de Kraats, M.A. Viergever, W.J. Niessen. Simulation of guide wire motion and deformation for minimally invasive vascular interventions. In Proceedings of the International Workshop on Deformable Modeling and Soft Tissue Simulation, 2001.
• T. Alderliesten, W.J. Niessen, K.L. Vincken, J.B.A. Maintz, F.E. Jansen, O. van Nieuwenhuizen, M.A. Viergever. Improving reproducibility with supervised segmentation of tuberous sclerosis lesions in FLAIR brain MR images. In Proceedings of Interactive Medical Image Visualization and Analysis, SCVR, pages 69-71, 2001.

Abstracts in international conference proceedings

• M. Virgolin*, Z. Wang*, B.V. Balgobind, I.W.E.M. van Dijk, J. Wiersma, D.C. Hodgson, A. Bryce-Atkinson, M. van Herk, C.R.N. Rasch, L. Zadravec Zaletel, P.S. Kroon, G.O. Janssens, A. Bel, P.A.N. Bosman, T. Alderliesten (*shared first authorship.). Highly-individualized dose reconstruction for pediatric abdominal radiotherapy with machine learning. Accepted for presentation at ESTRO 2020.
• A. Bouter, T. Alderliesten, B.R. Pieters, S. Buus, Y. Niatsetski, P.A.N. Bosman. A multi-protocol validation study of automated bi-objective planning for HDR prostate brachytherapy. Accepted for presentation at ESTRO 2020.
• M.C. van der Meer, D. van Dorth, P.A.N. Bosman, B.R. Pieters, Y. Niatsetski, T. Alderliesten, A. Bel. Healthy tissue constraints for catheter position optimization in HDR prostate brachytherapy planning. Accepted for presentation at ESTRO 2020.
• M.C. van der Meer, A. Bouter, B.R. Pieters, Y. Niatsetski, T. Alderliesten, P.A.N. Bosman, A. Bel. GPU parallelization of catheter position optimization for HDR prostate brachytherapy. Proc. 19^th International Conference on the use of Computers in Radiation therapy (ICCR), 2019.
• A. Bouter, T. Alderliesten, B.R. Pieters, A. Bel, Y. Niatsetski, P.A.N. Bosman. Bi-objective optimization of dosimetric indices for HDR prostate brachytherapy within 30 seconds. Radiotherapy and Oncology, volume 133, supplement 1, pages S199-S200, 2019.
• M.C. van der Meer, P.A.N. Bosman, B.R. Pieters, Y. Niatsetski, T. Alderliesten, A. Bel. Robust HDR prostate brachytherapy planning accounting for organ reconstruction settings. Radiotherapy and Oncology, volume 133, supplement 1, pages S200-S201, 2019.
• M. Machiels, M.L. van Montfoort, N.B. Thuijs, M.I. van Berge Henegouwen, J.E. van Hooft, T. Alderliesten, S.L. Meijer, M.C.C.M. Hulshof. Pathological validation of endoscopically placed fiducials on tumor borders in esophageal cancer. Radiotherapy and Oncology, volume 133, supplement 1, pages S423-S424, 2019.
• N.H. Luong, T. Alderliesten, B.R. Pieters, A. Bel, Y. Niatsetski, P.A.N. Bosman. Fast and insightful bi-objective HDR prostate brachytherapy planning. Radiotherapy and Oncology, volume 127, supplement 1, page S130, 2018. doi: https://doi.org/10.1016/S0167-8140(18)30566-8
• S.C. Maree, E.S. Kooreman, N.H. Luong, N. van Wieringen, A. Bel, E.C.M. Rodenburg, K.A. Hinnen, G.H. Westerveld, B.R. Pieters, P.A.N. Bosman, T. Alderliesten. Better plans and easy plan selection via bi-objective optimization for HDR prostate brachytherapy. Radiotherapy and Oncology, volume 127, supplement 1, pages S571-S572, 2018. doi: 10.1016/S0167-8140(18)31330-6
• M.C. van der Meer, P.A.N. Bosman, B.R. Pieters, Y. Niatsetski, T. Alderliesten, A. Bel. Sensitivity of dose-volume indices to organ reconstruction settings in HDR prostate brachytherapy. Radiotherapy and Oncology, volume 127, supplement 1, page S1236, 2018. doi: https://doi.org/10.1016/S0167-8140(18)32545-3
• P. Jin, M. Machiels, K.F. Crama, J. Visser, N. van Wieringen, A. Bel, T. Alderliesten, M.C.C.M. Hulshof. Dosimetric benefits of mid-position approach compared with internal target volume for esophageal RT. Radiotherapy and Oncology, volume 127, supplement 1, pages S1042-S1043, 2018.
• M.L.F. Hol, B.R. Pieters, J. Wiersma, A. Bel, N.J. Freling, B.V. Balgobind, R. Dávila Fajardo, T.J.M. Maal, P. Saeed, J.C. Chisholm, O. Slater, T. Alderliesten, A.G. Becking, H.C.V. Mandeville, M.N. Gaze, J.H.M. Merks, L.E. Smeele. Facial growth deformation following pediatric head and neck sarcoma: should dose constraints regarding specific bony structures be considered? Proc. SIOP conference, 2017.
• Z. Wang, M. Virgolin, I.W.E.M. van Dijk, J. Wiersma, C.M. Ronckers, F. Oldenburger, B.V. Balgobind, C.R.N. Rasch, P.A.N. Bosman, A. Bel, T. Alderliesten. Relating anatomical variations and patient features with dose-reconstruction accuracy of a 3D dose-reconstruction approach using CT scans of recently-treated children. Proc. 18^th International Congress of the Paediatric Radiation Oncology Association (PROS) 2017.
• M.L.F. Hol, T.J.M. Maal, A.G. Becking, B.R. Pieters, H.C. Mandeville, M.N. Gaze, J.C. Chisholm, O. Slater, J.H.M. Merks, P. Saeed, T. Alderliesten, L.E. Smeele. Differences in treatment-induced facial growth deformity between AMORE and EBRT for orbital rhabdomyosarcoma treatment in children. 18^th International Congress of the Paediatric Radiation Oncology Association (PROS) 2017. International Journal of Radiation Oncology • Biology • Physics, vol. 101, issue 4, page 1005, 2018.
• S.C. Huijskens, I.W.E.M. van Dijk, J. Visser, B.V. Balgobind, C.R.N. Rasch, T. Alderliesten, A. Bel. Respiratory-induced abdominal motion during image-guided radiotherapy in children can be reliably estimated from a single pre-treatment 4D-CT. Proc. 18th International Congress of the Paediatric Radiation Oncology Association (PROS) 2017.
• S.C. Huijskens, I.W.E.M. van Dijk, J. Visser, B.V. Balgobind, D. te Lindert, C.R.N. Rasch, T. Alderliesten, A. Bel. Is interfractional organ position variation during image-guided radiotherapy in children different for organs located in the left side versus the right side of the abdomen? Proc. 18th International Congress of the Paediatric Radiation Oncology Association (PROS) 2017.
• P. Jin, M.C.C.M. Hulshof, N. van Wieringen, A. Bel, T. Alderliesten. Limited interfractional variability of respiration-induced tumor motion in esophageal cancer RT. In Proceedings of ESTRO 36 Congress, 2017. OC-0377, Radiotherapy and Oncology, vol. 123, supplement 1, pages S203-S204, 2017.
• P. Jin, J. Visser, K.F. Crama, N. van Wieringen, A. Bel, M.C.C.M. Hulshof, T. Alderliesten. Reducing the dosimetric impact of variable gas volume in the abdomen during RT of esophageal cancer. In Proceedings of ESTRO 36 Congress, 2017. OC-0348, Radiotherapy and Oncology, vol. 123, supplement 1, pages S184-S185, 2017.
• S.C. Huijskens, I.W.E.M. van Dijk, J. Visser, C.R.N. Rasch, T. Alderliesten, A. Bel. Comparison of respiratory-induced diaphragm motion during radiotherapy between children and adults. In Proceedings of ESTRO 36 Congress, 2017. PV-0046, Radiotherapy and Oncology, vol. 123, supplement 1, page S20, 2017.
• S.C. Maree, P.A.N. Bosman, Y. Niatsetski, C. Koedooder, N. van Wieringen, A. Bel, B.R. Pieters, T. Alderliesten. Improved class solutions for prostate brachytherapy planning via evolutionary machine learning. In Proceedings of ESTRO 36 Congress, 2017. PV-0188, Radiotherapy and Oncology, vol. 123, supplement 1, pages S96-S97, 2017.
• M. Machiels, P. Jin, P. Jelvehgaran, O.J. Gurney-Champion, E.D. Geijsen, P.M. Jeene, M.W. Kolff, V. Oppedijk, M.B. van Herk, T. Alderliesten, M.C.C.M. Hulshof. Reduced inter- and intra-observer variation in esophageal tumor delineation using fiducial markers. In Proceedings of ESTRO 36 Congress, 2017. PO-0697, Radiotherapy and Oncology, vol. 123, supplement 1, pages S364-S365, 2017.
• I. Bones, O.J. Gurney-Champion, A. van der Horst, A. Bel, T. Alderliesten, G. van Tienhoven, K. Ziemons, Z. van Kesteren. 4DMRI for RT planning; novel precise amplitude binning in the presence of irregular breathing. In Proceedings of ESTRO 36 Congress, 2017. PO-0881, Radiotherapy and Oncology, vol. 123, supplement 1, pages S482-S483, 2017.
• I. Bones, O. Gurney-Champion, A. van der Horst, A. Bel, T. Alderliesten, G. van Tienhoven, K. Ziemons, Z. van Kesteren. 4DMRI for RT planning; novel precise amplitude binning in the presence of irregular breathing. Institute QuantiVision Conference 2017 [accepted for publication/presentation], 2017.
• P. Jelvehgaran, T. Alderliesten, J.J.A. Weda, D.M. de Bruin, D.J. Faber, M.C.C.M. Hulshof, T.G. van Leeuwen, M.B. van Herk, J.F. de Boer. Visibility of solid and liquid fiducial markers used for image-guided radiation therapy on optical coherence tomography: an esophageal phantom study. In Proc. SPIE 10056, Photonics West 2017: Design and Quality for Biomedical Technologies X, 100560B; doi: 10.1117/12.2250911, 2017.
• I. Bones, O. Gurney-Champion, A. van der Horst, A. Bel, T. Alderliesten, G. van Tienhoven, K. Ziemons, Z. van Kesteren. 4DMRI for RT planning; novel precise amplitude binning in the presence of irregular breathing. ISMRM Benelux Chapter, 9th annual meeting, 2017.
• S.C. Huijskens, I.W.E.M. van Dijk, M.A.J. de Jong, J. Visser, R. Dávila Fajardo, C.R.N. Rasch, T. Alderliesten, A. Bel. Magnitude of respiration-induced diaphragm motion during radiotherapy: Is it smaller in children than in adults? Proc. SIOP conference, 2016.
• Z. Wang, I.W.E.M. van Dijk, J. Wiersma, C.M. Ronckers, F. Oldenburger, C.R.N. Rasch, P.A.N. Bosman, A. Bel, T. Alderliesten. Assessing the variation in 3D dose reconstruction based on CT scans of pediatric cancer patients matched on gender and age. Proc. 18th International Conference on the use of Computers in Radiation therapy (ICCR), 2016.
• M. Virgolin, I.W.E.M. van Dijk, J. Wiersma, C.M. Ronckers, C. Witteveen, C. Rasch, A. Bel, T. Alderliesten, P.A.N. Bosman. Learning to associate distances with historical patient data to enable fine-grained studying of late adverse effects of paediatric radiotherapy: data, methodology, and first results. Proc. 18th International Conference on the use of Computers in Radiation therapy (ICCR), 2016.
• K. Pirpinia, P.A.N. Bosman, C.E. Loo, A.N. Scholten, J-J. Sonke, M. van Herk, T. Alderliesten. Multi-objective optimization as a novel weight-tuning strategy for deformable image registration applied to pre-operative partial-breast radiotherapy. Proc. 18th International Conference on the use of Computers in Radiation therapy (ICCR), 2016.
• I.W.E.M. van Dijk, S.C. Huijskens, M.A.J. de Jong, J. Visser, R. Dávila Fajardo, C.R.N. Rasch, T. Alderliesten, A. Bel. Renal and diaphragmatic interfractional motion in children and adults: is there a difference? In Proceedings of ESTRO 35, 2016. OC-0161, Radiotherapy and Oncology, vol. 119, page S75, 2016.
• S. Huijskens, I.W.E.M. van Dijk, M.A.J. de Jong, J. Visser, R. Dávila Fajardo, C.R.N. Rasch, T. Alderliesten, A. Bel. Respiration-induced organ motion in children during image-guided radiation therapy. In Proceedings of ESTRO 35, 2016. EP-1412, Radiotherapy and Oncology, vol. 119, pages S657-658, 2016.
• M. Machiels, P. Jin, C.H.M. van Gurp, J.E. van Hooft, T. Alderliesten, M.C.C.M. Hulshof. Comparison of carina- versus bony anatomy-based registration for IGRT in esophageal cancer. In Proceedings of ESTRO 35, 2016, PV-0375, Radiotherapy and Oncology, vol. 119, page S175, 2016.
• P. Jelvehgaran, T. Alderliesten, J. Salguero, G. Borst, J-Y. Song, T.G. van Leeuwen, J.F. de Boer, D.M. de Bruin, M.B. van Herk. Feasibility of optical coherence tomography to detect radiation-induced esophageal damage in small animal models. In Proc. SPIE 9691, Photonics West 2016: Endoscopic Microscopy XI; and Optical Techniques in Pulmonary Medicine III, 96910S, 2016.
• S.C. Huijskens, I.W.E.M. van Dijk, M.A.J. de Jong, J. Visser, R. Dávila Fajardo, C.M. Ronckers, G.O.R.J. Janssens, J.H. Maduro, C.R.N. Rasch, T. Alderliesten, A. Bel. Renal and diaphragmatic inter-fraction motion in children during image guided radiotherapy: a multicenter study. In Proceedings of the Paediatric Radiation Oncology Society (PROS) 2015 congress, 2015.
• S.C. Huijskens, I.W.E.M. van Dijk, M.A.J. de Jong, J. Visser, R. Dávila Fajardo, C.R.N. Rasch, T. Alderliesten, A. Bel. The quantification of renal and diaphragmatic interfraction motion in children. In Proceedings of 3rd ESTRO Forum, 2015, PO-0937, Radiotherapy and Oncology, vol. 115, page S490, 2015.
• P. Jelvehgaran, J.J.A. Weda, D.M. de Bruin, J.E. van Hooft, M.C.C.M. Hulshof, T.G. van Leeuwen, M. van Herk, J.F. de Boer, T. Alderliesten. Visibility of gold markers on optical coherence tomography for registration with CT: an esophageal phantom study. In Proceedings of 3rd ESTRO Forum, 2015, PD-0457, Radiotherapy and Oncology, vol. 115, page S224, 2015.
• M. Kamphuis, N. van Wieringen, P. Jin, T. Alderliesten, R. van Os, A. Bel, M. Hulshof Inter-fraction variation of gas volume in the upper abdominal region during radiotherapy for distal esophageal cancer. In Proceedings of 3rd ESTRO Forum, 2015, PO-1096, Radiotherapy and Oncology, vol. 115, pages S592-S593, 2015.
• P. Jin, M.C.C.M. Hulshof, R. de Jong, J.E. van Hooft, A. Bel, T. Alderliesten. Quantification of respiration-induced esophageal tumor motion using fiducial markers and 4D computed tomography. In Proceedings of 3rd ESTRO Forum, 2015, OC-0545, Radiotherapy and Oncology, vol. 115, pages S263-S264, 2015.
• A. Bel, R. de Jong, R. Davila Fajardo, C. Rasch, T. Alderliesten. Organ motion in children during image-guided high-precision radiotherapy. Physica Medica: European Journal of Medical Physics, vol. 30, page e24, 2014. Proceedings of 8th European Conference on Medical Physics, 2014.
• M. Machiels, J. van Hooft, T. Alderliesten, P. Jin, M.C.C.M. Hulshof. Feasibility of endoscopic guided placement of markers in patients with esophageal tumors. International Journal of Radiation Oncology • Biology • Physics, vol. 90, issue 1, supplement, page S344, September 1, 2014. Proceedings of the American Society for Radiation Oncology 56th Annual Meeting, 2014.
• P. Jin, M.C.C.M. Hulshof, M.A.J. de Jong, J.E. van Hooft, A. van der Horst, N. van Wieringen, M. Machiels, A. Bel, T. Alderliesten. First experience with the use of gold markers for image guidance in esophageal cancer radiotherapy. In Proceedings of ESTRO 33, 2014, PO-0877, Radiotherapy and Oncology, vol. 111, page S94, 2014.
• M.A.J. de Jong, E. Lens, M. van Herk, T. Alderliesten, M. Kamphuis, R. Dávila Fajardo, A. Bel, N. van Wieringen. Optimizing cone-beam CT presets for children to reduce imaging dose illustrated with craniospinal axis. In Proceedings of ESTRO 33, 2014, OC-0282, Radiotherapy and Oncology, vol. 111, pages S109-S110, 2014.
• A. Betgen, T. Alderliesten, P.H. Elkhuizen, C. van Vliet-Vroegindeweij, P. Remeijer. Assessment of respiratory induced motion of target area and organs at risk in radiotherapy for breast cancer patients. In Proceedings of 2nd ESTRO Forum, 2013. Radiotherapy and Oncology, vol. 106, page S63, 2013.
• G. Franssen, T. Alderliesten, Z. van Kesteren, P. Elkhuizen, S. Conijn, A. Duijn, T. Janssen, P. Remeijer, C. van Vliet-Vroegindeweij. Seroma volume change as an indicator for the need of replanning during adaptive RT of breast cancer. In Proceedings of ESTRO 31 Conference on Physics and Radiation Technology for Clinical Radiotherapy, 2012. Radiotherapy and Oncology, vol. 103, page S198, 2012.
• A. Betgen, T. Alderliesten, R. Heddes, P. Remeijer, J.J. Sonke. Validation of 3D surface imaging for monitoring intrafraction motion in frameless stereotactic body radiotherapy of lung cancer. In Proceedings of ESTRO 29 Conference on Physics and Radiation Technology for Clinical Radiotherapy, 2010.
• S. den Hollander, T. Alderliesten, P. Elkhuizen, J. Yang, C. Hurkmans, D. Minkema, C. van Vliet-Vroegindeweij. A radiotherapy replanning guideline for patients who develop seroma after breast-conserving surgery. In Proceedings of ESTRO 29 Conference on Physics and Radiation Technology for Clinical Radiotherapy, 2010.
• J. Honnef, L. Zijp, J.J. Sonke, J. Duppen, J. Nijkamp, A. Betgen, T. Alderliesten, P. Remeijer. Automatic breast-surface segmentation of deep inspiration breath hold cone-beam CT scans. In Proceedings of ESTRO 29 Conference on Physics and Radiation Technology for Clinical Radiotherapy, 2010.
• T. Alderliesten, J.J. Sonke, C. van Vliet-Vroegindeweij, P. Remeijer. Validation of 3D surface imaging for image guidance in deep inspiration breath hold radiation therapy for left-sided breast cancer. In Proceedings of XVIth International Conference on the use of Computers in Radiation therapy (ICCR), 2010.
• M. Straver, M. Donker, C.E. Loo, J. Wesseling, H. Maessen, M. Steggerda, T. Alderliesten, M. Holtkamp, E.J.T.H. Rutgers, M.T.F.D. Vrancken Peeters. The MARI procedure; Mapping of the axilla with radioactive iodine seeds. European Journal of Cancer Supplements, vol. 8, no. 3, page 134, 2010. 7th European Breast Cancer Conference, 2010.
• M.E. Straver, C.E. Loo, J. Wesseling, H. Maessen, M. Steggerda, T. Alderliesten, M.J. Holtkamp, E.J. Rutgers, M.T. Vrancken Peeters. Novel surgical technique to selectively remove metastatic axillary lymph nodes in breast cancer patients after neoadjuvant chemotherapy. In Proceedings of American Society of Clinical Oncology (ASCO) Breast Cancer Symposium, 2009.
• T. Alderliesten, J.J. Sonke, R. Heddes, A. Betgen, P. Remeijer, C. van Vliet-Vroegindeweij. Assessment of setup variability for breath-hold radiotherapy for breast cancer patients by surface imaging. In Proceedings of 10th Biennial ESTRO Conference on Physics and Radiation Technology for Clinical Radiotherapy, 2009, Radiotherapy and Oncology, vol. 92, page S65, 2009.
• S. den Hollander, T. Alderliesten, J. Yang, P. Elkhuizen, A. van Mourik, C. Hurkmans, C. van Vliet-Vroegindeweij. Seroma after breast conserving surgery: a comparison of three radiotherapy planning techniques. In Proceedings of 10th Biennial ESTRO Conference on Physics and Radiation Technology for Clinical Radiotherapy, 2009. Radiotherapy and Oncology, vol. 92, pages S78-S79, 2009.
• T. Alderliesten, A.T.E.F. Schlief, J.L. Peterse, C.E. Loo, H.J. Teertstra, W.F.A. Klein Zeggeling, S.H. Muller, K.G.A. Gilhuijs. Potential benefit of semi-automatic volumetric measurement of extent of breast tumors from contrast-enhanced MRI. European Journal of Cancer Supplements, vol. 4, no. 2, page 62, 2006. 5th European Breast Cancer Conference, 2006.

Articles in domestic journals

• T. Alderliesten, M.C.C.M. Hulshof, A. Bel. De ontwikkeling en mogelijkheden van beeldgeleide radiotherapie. Nederlands Tijdschrift voor Oncologie, Jaargang 11, Nummer 1, pagina’s: 13-19, 2014.
• M.T.F.D. Vrancken Peeters, M.E. Straver, T. Alderliesten, C.E. Loo. Het gebruik van radioactieve jodiumbronnen bij de behandeling van borstkanker. Nederlands Tijdschrift voor Oncologie, Jaargang 6, Nummer 8, pagina’s: 331-338, 2009.

Publications in domestic magazines

• K. Crama, P. Jin, J. Visser, N. van Wieringen, A. Bel, M.C.C.M. Hulshof, T. Alderliesten. Effect van lucht in de maag bij bestraling van een oesophaguscarcinoom. Nederlandse Vereniging Medische Beeldvorming & Radiotherapie (NVMBR) Magazine, Jaargang 2, Nummer 1, pagina's 18-23, 2019. 
• C.E. Loo and T. Alderliesten. Het jodium-125 zaadje in de mamma; een praktische handreiking voor twijfelende radiologen. Alternatieve lokalisatieprocedure. MemoRad, Jaargang 14, Nummer 3, Najaar 2009, p. 17.

Papers in domestic conference proceedings

• P.A.N. Bosman and T. Alderliesten. Bringing IDEAs into Practice: Optimization in a Minimally Invasive Vascular Intervention Simulation System. In Proceedings of the BNAIC-2004 Sixteenth Belgium-Netherlands Conference on Artificial Intelligence, pages 115-122, 2004.

Abstracts in domestic conference proceedings

• S.C. Huijskens, I.W.E.M. van Dijk, J. Visser, C.R.N. Rasch, T. Alderliesten, A. Bel. Magnitude and variability of respiratory-induced diaphragm motion during radiotherapy in children and adults. Amsterdam Kinder Symposium 2017, https://c41fmc5jtw0pekvamd1g33n59ggw2arc.sec.amc.nl/ kindersymposium.pdf, page 24, 2017.
• P. Jin, A. van der Horst, R. de Jong, J.E. van Hooft, M. Kamphuis, N. van Wieringen, M. Machiels, A. Bel, M.C.C.M. Hulshof, T. Alderliesten. The use of markers for quantification of interfractional esophageal tumor position variation and setup verification in esophageal cancer radiotherapy. Wetenschappelijke vergadering Nederlandse Vereniging voor Radiotherapie en Oncologie 2015, 27 november, De Eenhoorn, Amersfoort, 2015.
• N.N.Y. Janssen, J. Nijkamp, T. Alderliesten, C.E. Loo, J.J. Sonke, M.J.T.F.D. Vrancken Peeters. Het gebruik van radioactieve jodiumbronnen bij de behandeling van borstkanker: 6 jaar ervaring met meer dan 1000 zaadjes. Najaarsdag Nederlandse Vereniging voor Heelkunde 2014, 28 november, De Fabrique, Utrecht, 2014.
• T. Alderliesten, C.E. Loo, K.E. Pengel, M.E. Straver, H.S.A. Oldenburg, E.J.Th. Rutgers, K.G.A. Gilhuijs, M.T.F.D. Vrancken Peeters. Mammatumoren lokaliseren met jodiumbronnen: migreren de bronnen? Chirurgendagen 2009, 14-15 mei, De Koningshof, Veldhoven, 2009.
• M.E. Straver, C.E. Loo, T. Alderliesten, E.J.Th. Rutgers, M.F.T.D. Vrancken Peeters. Goed opereren is goed lokaliseren; een nieuwe methode om lymfkliermetastasen te lokaliseren en per operatief te detecteren. Chirurgendagen 2009, 14-15 mei, De Koningshof, Veldhoven, 2009.
• T. Alderliesten, A. Schlief, J.L. Peterse, C.E. Loo, W.F.A. Klein Zeggelink, S.H. Muller, K.G.A. Gilhuijs. Potential benefit of semi-automatic volumetric measurement of extent of breast tumors at contrast-enhanced MRI. Radiologendagen 2005, 29-30 september, De Leeuwenhorst, Noordwijkerhout, 2005.

PhD A. Bel (Innovative image guided radiotherapy)

Prof. PhD C.R.N. Rasch (Image guided and physics application in the clinic)

• S.C. Maree
• K. Pirpinia
• Z. Wang

• Toegepaste en Technische Wetenschappen (TTW)