Joost van der Putten

20 papers B 5Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2022 — conf
Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task.
Computer-Aided Diagnosis
Fidan Mammadli, Fons van der Sommen, Tim Boers, Joost van der Putten, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jacques J. G. H. M. Bergman, Peter H. N. de With
2021 B conf
Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach.
Image Processing
Endi Selmanaj, Fons van der Sommen, Sanne E. Okel, Joost van der Putten, Maarten R. Struyvenberg, Jacques J. G. H. M. Bergman, Peter H. N. de With
2021 — ch.
Multi-scale Ensemble of ResNet Variants.
Computer-Aided Analysis of Gastrointestinal Videos
Joost van der Putten, Farhad Ghazvinian Zanjani
2021 — conf
Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks.
Computer-Aided Diagnosis
Sanne E. Okel, Fons van der Sommen, Endi Selmanaj, Joost van der Putten, Maarten R. Struyvenberg, Jacques J. G. H. M. Bergman, Peter H. N. de With
2020 J jnl
Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy.
Comput. Medical Imaging Graph.
Joost van der Putten, Maarten R. Struyvenberg, Jeroen de Groof, Thom Scheeve, Wouter L. Curvers, Erik J. Schoon, Jacques J. G. H. M. Bergman, Peter H. N. de With, Fons van der Sommen
2020 B conf
Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks.
Image Processing
T. G. W. Boers, Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Kiki Fockens, Wouter L. Curvers, Erik J. Schoon, Fons van der Sommen, Jacques J. Bergman, Peter H. N. de With
2020 J jnl
Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems.
IEEE Access
Joost van der Putten, Fons van der Sommen, Peter H. N. de With
2020 — conf
First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities.
Computer-Aided Diagnosis
Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With
2020 J jnl
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks.
Sensors
Tim Boers, Joost van der Putten, Maarten R. Struyvenberg, Kiki Fockens, Jelmer Jukema, Erik J. Schoon, Fons van der Sommen, Jacques J. Bergman, Peter H. N. de With
2020 B conf
Influence of decoder size for binary segmentation tasks in medical imaging.
Image Processing
Joost van der Putten, Fons van der Sommen, Peter H. N. de With
2020 J jnl
Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks.
Neural Comput. Appl.
Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With
2020 J jnl
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study.
Artif. Intell. Medicine
Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Tim Boers, Kiki Fockens, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With
2020 — conf
The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning.
Computer-Aided Diagnosis
Levi Verhage, Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten R. Struyvenberg, Peter H. N. de With
2019 — conf
Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities.
ISBI
Joost van der Putten, Rogier R. Wildeboer, Jeroen de Groof, Ruud van Sloun, Maarten R. Struyvenberg, Fons van der Sommen, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With
2019 B conf
Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models.
ICIP
Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With
2019 — conf
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus.
MLMI@MICCAI
Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten R. Struyvenberg, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With
2019 B conf
Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function.
Image Processing
Joost van der Putten, Fons van der Sommen, Maarten R. Struyvenberg, Jeroen de Groof, Wouter L. Curvers, Erik J. Schoon, Jacques J. G. H. M. Bergman, Peter H. N. de With
2018 — conf
Bladder Cancer Segmentation on Multispectral Images.
ICDSC
Joost van der Putten, Fons van der Sommen, Svitlana Zinger, Daniel M. de Bruin, Guido Kamphuis, Peter H. N. de With
2018 — conf
Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma.
Computer-Aided Diagnosis
Joost van der Putten, Svitlana Zinger, Fons van der Sommen, Peter H. N. de With, Mathias Prokop, John Hermans
2017 J jnl
Proceedings of Workshop AEW10: Concepts in Information Theory and Communications.
CoRR
Kees A. Schouhamer Immink, Stan Baggen, Ferdaous Chaabane, Yanling Chen, Peter H. N. de With, Héla Gassara, Hamed Gharbi, Adel Ghazel, Khaled Grati, Naira M. Grigoryan, Ashot N. Harutyunyan, Masayuki Imanishi, Mitsugu Iwamoto, Ken-ichi Iwata, Hiroshi Kamabe, Brian M. Kurkoski, Shigeaki Kuzuoka, Patrick Langenhuizen, Jan Lewandowsky, Akiko Manada, Shigeki Miyake, Hiroyoshi Morita, Jun Muramatsu, Safa Najjar, Arnak V. Poghosyan, Fatma Rouissi, Yuta Sakai, Ulrich Tamm, Joost van der Putten, Fons van der Sommen, A. J. Han Vinck, Tadashi Wadayama, Dirk Wübben, Hirosuke Yamamoto