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Research Output

  • 52 Citations
  • 7 Article
  • 6 Conference contribution
  • 2 Meeting Abstract
2020

A computer-assisted algorithm for narrow-band-imaging–based tissue characterization in Barrett’s esophagus

Struyvenberg, M. R., De Groof, A. J., van der Putten, J., van der Sommen, F., Baldaque-silva, F., Omae, M., Pouw, R., Bisschops, R., Vieth, M., Schoon, E. J., Curvers, W. L., de With, P. H. & Bergman, J. J., 3 Jun 2020, In : Gastrointestinal Endoscopy.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Deep learning algorithm detection of Barrett's neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video)

de Groof, A. J., Struyvenberg, M. R., Fockens, K. N., van der Putten, J., van der Sommen, F., Boers, T. G., Zinger, S., Bisschops, R., de With, P. H., Pouw, R. E., Curvers, W. L., Schoon, E. J. & Bergman, J. J. G. H. M., Jun 2020, In : Gastrointestinal Endoscopy. 91, 6, p. 1242-1250 9 p.

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)

Deep-learning system detects neoplasia in patients with Barrett’s Esophagus with higher accuracy than endoscopists in a multi-step training and validation study with benchmarking

de Groof, A. J., Struyvenberg, M. R., van der Putten, J., van der Sommen, F., Fockens, K. N., Curvers, W. L., Zinger, S., Pouw, R. E., Coron, E., Baldaque-Silva, F., Pech, O., Weusten, B., Meining, A., Neuhaus, H., Bisschops, R. R., Dent, J., Schoon, E. J., de With, P. H. N. & Bergman, J. J., Mar 2020, In : Gastroenterology. 158, 4, p. 915-929.e4

Research output: Contribution to journalArticleAcademicpeer-review

13 Citations (Scopus)

Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy

van der Putten, J., Struyvenberg, M., de Groof, J., Scheeve, T., Curvers, W., Schoon, E., Bergman, J. J. G. H. M., de With, P. H. N. & van der Sommen, F., Mar 2020, In : Computerized Medical Imaging and Graphics. 80, 10 p., 101701.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
25 Downloads (Pure)

Machine learning in GI endoscopy: practical guidance in how to interpret a novel field

van der Sommen, F., de Groof, J., Struyvenberg, M., van der Putten, J., Boers, T., Fockens, K., Schoon, E. J., Curvers, W., de With, P., Mori, Y., Byrne, M. & Bergman, J. J. G. H. M., 11 May 2020, In : Gut.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks

van der Putten, J., van der Sommen, F., de Groof, J., Struyvenberg, M., Zinger, S., Curvers, W., Schoon, E., Bergman, J. & de With, P. H. N., 1 Jul 2020, In : Neural Computing and Applications. 32, 14, p. 10705–10717 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
1 Citation (Scopus)
2019

Deep learning biopsy marking of early neoplasia in barrett's esophagus by combining wle and BLI modalities

van der Putten, J., Wildeboer, R., de Groof, J., van Sloun, R., Struyvenberg, M., van der Sommen, F., Zinger, S., Curvers, W., Schoon, E., Bergman, J. & de With, P. H. N., 1 Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. Piscataway: IEEE Computer Society, p. 1127-1131 5 p. 8759431

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Informative frame classification of endoscopic videos using convolutional neural networks and hidden Markov models

van der Putten, J., de Groof, J., van der Sommen, F., Struyvenberg, M., Zinger, S., Curvers, W., Schoon, E., Bergman, J. & de With, P. H. N., 26 Aug 2019, 2019 IEEE International Conference on Image Processing (ICIP). Piscataway: Institute of Electrical and Electronics Engineers, p. 380-384 5 p. 8802947

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Pseudo-labeled bootstrapping and multi-stage transfer learning for the classification and localization of dysplasia in Barrett’s esophagus

van der Putten, J., de Groof, J., van der Sommen, F., Struyvenberg, M., Zinger, S., Curvers, W., Schoon, E., Bergman, J. & de With, P. H. N., 2019, Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Proceedings: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Suk, H-I., Liu, M., Lian, C. & Yan, P. (eds.). Cham: Springer, p. 169-177 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11861 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

The Argos project: the development of a computer-aided detection system to improve detection of Barrett's neoplasia on white light endoscopy

Groof, J. D., van der Sommen, F., van der Putten, J., Struyvenberg, M. R., Zinger, S., Curvers, W. L., Pech, O., Meining, A., Neuhaus, H., Bisschops, R., Schoon, E. J., de With, P. H. & Bergman, J. J., 1 May 2019, In : United European Gastroenterology Journal. 7, 4, p. 538-547 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
19 Citations (Scopus)
61 Downloads (Pure)

Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function

van der Putten, J., van der Sommen, F., Struyvenberg, M., de Groof, J., Curvers, W., Schoon, E., J.G.H.M. Bergman, J. & de With, P. H. N., 2019, Progress in Biomedical Optics and Imaging. Angelini, E. D., Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, 7 p. 109492J. (Proceedings of SPIE; vol. 10949).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
2018

Bladder cancer segmentation on multispectral images

van der Putten, J., van der Sommen, F., Zinger, S., de Bruin, D. M., Kamphuis, G. & de With, P. H. N., 3 Sep 2018, Proceedings of the 12th International Conference on Distributed Smart Cameras, ICDSC 2018. New York: Association for Computing Machinery, Inc, 4 p. a13

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Downloads (Pure)

Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma

van der Putten, J., Zinger, S., van der Sommen, F., de With, P. H. N., Prokop, M. & Hermans, J., 1 Jan 2018, SPIE.Medical Imaging: Computer-Aided Diagnosis, 10-15 February 2018, Houston, Texas : Computer-Aided Diagnosis. Bellingham: SPIE, p. 1-12 105753O. (Proceedings of SPIE; vol. 10575).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

The Argos project: first results of the development of a computer aided detection system for Barrett's neoplasia

de Groof, J., van der Putten, J. A., van der Sommen, F., Zinger, S., Curvers, W. L., Bisschops, R., Pech, O. O., Meining, A., Neuhaus, H., Schoon, E. J., de With, P. H. N. & Bergman, J. J. J., Jun 2018, In : Gastrointestinal Endoscopy. 87, 6, p. AB270 SA1969.

Research output: Contribution to journalMeeting AbstractAcademic

1 Citation (Scopus)

The Argos Project: evaluation of results of a clinically-inspired algorithm vs. a deep learning algorithm for the detection and delineation of Barrett's neoplasia

de Groof, J., van der Putten, J., van der Sommen, F., Zinger, S., Curvers, W., Bisschops, R., Pech, O., Meining, A., Neuhaus, H., Schoon, E. J., de With, P. H. N. & Bergman, J., 1 May 2018, In : Gastroenterology. 154, 6 suppl. 1, p. S-1368 1 p.

Research output: Contribution to journalMeeting AbstractAcademic