M.R. Struyvenberg publications

foto

Publications M.R. Struyvenberg

Positions
PhD Candidate, MD-PhD
Main activities
Research
Specialisation
Gastroenterology, Imaging in Barrett's neoplasia
Focus of research

Barrett’s esophagus (BE) is a known precursor for esophageal adenocarcinoma (EAC). Therefore, BE patients undergo regular surveillance with white-light endoscopy and quadrantic random biopsies. However, the current surveillance protocol is not efficient since early cancer is often missed due to subtle appearance upon endoscopy and sampling error. Volumetric Laser Endomicroscopy (VLE) is a new balloon-based system, that provides a 3D scan of the Barrett’s segment during endoscopy. This enables evaluation of the entire Barrett’s segment including subsurface layers, leading to better detection of early cancer. In addition, with the new VLE laser marking tool, suspicious areas can be directly marked and sampled. Due to the amount of data and subtle gray shades, interpretation of VLE scans by the human eye seems complex. Therefore, automated image analysis algorithms may be of great additional value to aid in detection of BE neoplasia on VLE scans.

 

Objectives: The aim of this study is to evaluate and validate a clinical VLE prediction score and a VLE computer algorithm for the detection of BE neoplasia.

 

Amsterdam UMC Research Institutes
AMC departments
All publications

2021

  • Struyvenberg Maarten R., de Groof Albert J., van der Putten Joost, van der Sommen Fons, Baldaque-Silva Francisco, Omae Masami, Pouw Roos, Bisschops Raf, Vieth Michael, Schoon Erik J., Curvers Wouter L., de With Peter H., Bergman Jacques J. A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett's esophagus Gastrointestinal endoscopy 2021;93 (1):89-98 [PubMed]
  • Struyvenberg Maarten R., de Groof Albert J., Bergman Jacques J., van der Sommen Fons, de With Peter H. N., Konda Vani J. A., Curvers Wouter L. Advanced Imaging and Sampling in Barrett's Esophagus: Artificial Intelligence to the Rescue? Gastrointestinal endoscopy clinics of North America 2021;31 (1):91-103 [PubMed]

2020

  • de Groof Albert J., Fockens Kiki N., Struyvenberg Maarten R., Pouw Roos E., Weusten Bas L. A. M., Schoon Erik J., Mostafavi Nahid, Bisschops Raf, Curvers Wouter L., Bergman Jacques J. Blue-light imaging and linked-color imaging improve visualization of Barrett's neoplasia by nonexpert endoscopists Gastrointestinal endoscopy 2020;91 (5):1050-1057 [PubMed]
  • de Groof Albert J., Struyvenberg Maarten R., Fockens Kiki N., van der Putten Joost, van der Sommen Fons, Boers Tim G., Zinger Sveta, Bisschops Raf, de With Peter H., Pouw Roos E., Curvers Wouter L., Schoon Erik J., Bergman Jacques J. G. H. M. Deep learning algorithm detection of Barrett's neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video) Gastrointestinal endoscopy 2020;91 (6):1242-1250 [PubMed]
  • van der Putten Joost, Struyvenberg Maarten, de Groof Jeroen, Scheeve Thom, Curvers Wouter, Schoon Erik, Bergman Jacques J. G. H. M., de With Peter H. N., van der Sommen Fons Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy Computerized medical imaging and graphics 2020;80 [PubMed]
  • Boers T. G. W., van der Putten J., de Groof J., Struyvenberg M., Fockens K., Curvers W., Schoon E., van der Sommen F., Bergman J., de With P. H. N. Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networksin: Ivana Isgum, Bennett A. Landman, editors. Medical Imaging 2020. SPIE; 2020.
  • van der Putten Joost, Struyvenberg Maarten, de Groof Jeroen, Curvers Wouter, Schoon Erik, Baldaque-Silva Francisco, Bergman Jacques, van der Sommen Fons, de With Peter H. N. Endoscopy-driven pretraining for classification of dysplasia in barrett's esophagus with endoscopic narrow-band imaging zoom videos Applied Sciences (Switzerland) 2020;10 (10)
  • van der Putten Joost, de Groof Jeroen, van der Sommen Fons, Struyvenberg Maarten, Zinger Svitlana, Curvers Wouter, Schoon Erik, Bergman Jacques, de With Peter H. N. First steps into endoscopic video analysis for Barrett's cancer detection: Challenges and opportunitiesin: Horst K. Hahn, Maciej A. Mazurowski, editors. Medical Imaging 2020. SPIE; 2020.
  • Struyvenberg M. R., van der Sommen F., Swager A. F., de Groof A. J., Rikos A., Schoon E. J., Bergman J. J., de With P. H. N., Curvers W. L. Improved Barrett's neoplasia detection using computer-assisted multiframe analysis of volumetric laser endomicroscopy Diseases of the esophagus 2020;33 (2) [PubMed]
  • Boers Tim, van der Putten Joost, Struyvenberg Maarten, Fockens Kiki, Jukema Jelmer, Schoon Erik, van der Sommen Fons, Bergman Jacques, de With Peter Improving temporal stability and accuracy for endoscopic video tissue classification using recurrent neural networks Sensors (Basel, Switzerland) 2020;20 (15):1-11 [PubMed]
  • van der Sommen Fons, de Groof Jeroen, Struyvenberg Maarten, van der Putten Joost, Boers Tim, Fockens Kiki, Schoon Erik J., Curvers Wouter, de With Peter, Mori Yuichi, Byrne Michael, Bergman Jacques J. G. H. M. Machine learning in GI endoscopy: Practical guidance in how to interpret a novel field Gut 2020;69 (11):2035-2045 [PubMed]
  • van der Putten Joost, van der Sommen Fons, de Groof Jeroen, Struyvenberg Maarten, Zinger Svitlana, Curvers Wouter, Schoon Erik, Bergman Jacques, de With Peter H. N. Modeling clinical assessor intervariability using deep hypersphere encoder–decoder networks Neural Computing and Applications 2020;32 (14):10705–10717
  • Struyvenberg M. R., de Groof A. J., Kahn A., Weusten B. L. A. M., Fleischer D. E., Ganguly E. K., Konda V. J. A., Lightdale C. J., Pleskow D. K., Sethi A., Smith M. S., Trindade A. J., Wallace M. B., Wolfsen H. C., Tearney G. J., Meijer S. L., Leggett C. L., Bergman J. J. G. H. M., Curvers W. L. Multicenter study on the diagnostic performance of multiframe volumetric laser endomicroscopy targets for Barrett's esophagus neoplasia with histopathology correlation Diseases of the esophagus 2020;33 (12) [PubMed]
  • van der Putten Joost, de Groof Jeroen, Struyvenberg Maarten, Boers Tim, Fockens Kiki, Curvers Wouter, Schoon Erik, Bergman Jacques, van der Sommen Fons, de With Peter H. N. Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study Artificial intelligence in medicine 2020;107 [PubMed]
  • Struyvenberg Maarten R., de Groof Albert J., Fonollà Roger, van der Sommen Fons, de With Peter H. N., Schoon Erik J., Weusten Bas L. A. M., Leggett Cadman L., Kahn Allon, Trindade Arvind J., Ganguly Eric K., Konda Vani J. A., Lightdale Charles J., Pleskow Douglas K., Sethi Amrita, Smith Michael S., Wallace Michael B., Wolfsen Herbert C., Tearney Gary J., Meijer Sybren L., Vieth Michael, Pouw Roos E., Curvers Wouter L., Bergman Jacques J. Prospective development and validation of a volumetric laser endomicroscopy computer algorithm for detection of Barrett's neoplasia Gastrointestinal endoscopy 2020 [PubMed]
  • Verhage Levi, van der Putten Joost, van der Sommen Fons, de Groof Jeroen, Struyvenberg Maarten, de With Peter H. N. The field effect in Barrett's Esophagus: A macroscopic view using white light endoscopy and deep learningin: Horst K. Hahn, Maciej A. Mazurowski, editors. Medical Imaging 2020. SPIE; 2020.

2019

  • Scheeve Thom, Struyvenberg Maarten R., Curvers Wouter L., de Groof Albert J., Schoon Erik J., Bergman Jacques J. G. H. M., van der Sommen Fons, de With Peter H. N. A novel clinical gland feature for detection of early Barrett's neoplasia using volumetric laser endomicroscopyin: Kensaku Mori, Horst K. Hahn, editors. Medical Imaging 2019: Computer-Aided Diagnosis. SPIE; 2019.
  • Putten Joost Van Der, Wildeboer Rogier, Groof Jeroen De, Sloun Ruud Van, Struyvenberg Maarten, Sommen Fons Van Der, Zinger Svitlana, Curvers Wouter, Schoon Erik, Bergman Jacques, Peter H. N. De With Deep learning biopsy marking of early neoplasia in barrett's esophagus by combining wle and BLI modalitiesin: ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society; 2019. p. 1127-1131
  • Fonollà Roger, Scheeve Thom, Struyvenberg Maarten R., Curvers Wouter L., de Groof Albert J., van der Sommen Fons, Schoon Erik J., Bergman Jacques J. G. H. M., de With Peter H. N. Ensemble of deep convolutional neural networks for classification of Early Barrett's Neoplasia Using Volumetric laser endomicroscopy Applied Sciences (Switzerland) 2019;9 (11)
  • van der Putten Joost, de Groof Jeroen, van der Sommen Fons, Struyvenberg Maarten, Zinger Svitlana, Curvers Wouter, Schoon Erik, Bergman Jacques, de With Peter H. N. Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Modelsin: 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings. IEEE Computer Society; 2019. p. 380-384
  • van der Putten Joost, de Groof Jeroen, van der Sommen Fons, Struyvenberg Maarten, Zinger Svitlana, Curvers Wouter, Schoon Erik, Bergman Jacques, de With Peter H. N. Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett’s Esophagusin: Heung-Il Suk, Mingxia Liu, Pingkun Yan, editors. Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Springer; 2019. p. 169-177, ISBN 9783030326913
  • van der Putten Joost, van der Sommen Fons, Struyvenberg Maarten, de Groof Jeroen, Curvers Wouter, Schoon Erik, Bergman Jacques J. G. H. M. M., de With Peter H. N. Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss functionin: Elsa D. Angelini, Bennett A. Landman, editors. Medical Imaging 2019: Image Processing. SPIE; 2019.
back to M.R. Struyvenberg