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Joost van der Putten
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2020 – today
- 2024
- [j6]Tim Boers
, Kiki N. Fockens, Joost A. van der Putten
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency. Medical Image Anal. 98: 103298 (2024) - 2022
- [c14]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:
Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task. Computer-Aided Diagnosis 2022 - 2021
- [c13]Stefan Cornelissen
Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus. ICIP 2021: 66-70 - [c12]Sanne E. Okel, Fons van der Sommen
Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks. Computer-Aided Diagnosis 2021 - [c11]Endi Selmanaj, Fons van der Sommen
Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach. Image Processing 2021 - [p1]Joost van der Putten, Farhad Ghazvinian Zanjani:
Multi-scale Ensemble of ResNet Variants. Computer-Aided Analysis of Gastrointestinal Videos 2021: 115-119 - 2020
- [j5]Joost van der Putten
Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems. IEEE Access 8: 169444-169455 (2020) - [j4]Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Tim Boers, Kiki Fockens, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study. Artif. Intell. Medicine 107: 101914 (2020) - [j3]Joost van der Putten, Maarten R. Struyvenberg, Jeroen de Groof, Thom Scheeve
Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy. Comput. Medical Imaging Graph. 80: 101701 (2020) - [j2]Joost van der Putten
Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks. Neural Comput. Appl. 32(14): 10705-10717 (2020) - [j1]Tim Boers, Joost van der Putten
Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks. Sensors 20(15): 4133 (2020) - [c10]Joost van der Putten, Jeroen de Groof, Fons van der Sommen
First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities. Computer-Aided Diagnosis 2020 - [c9]Levi Verhage, Joost van der Putten, Fons van der Sommen
The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning. Computer-Aided Diagnosis 2020 - [c8]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
Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks. Image Processing 2020: 1131315 - [c7]Joost van der Putten, Fons van der Sommen
Influence of decoder size for binary segmentation tasks in medical imaging. Image Processing 2020: 1131318
2010 – 2019
- 2019
- [c6]Joost van der Putten, Jeroen de Groof, Fons van der Sommen
Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models. ICIP 2019: 380-384 - [c5]Joost van der Putten, Rogier R. Wildeboer, Jeroen de Groof, Ruud van Sloun
Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities. ISBI 2019: 1127-1131 - [c4]Joost van der Putten, Jeroen de Groof, Fons van der Sommen
Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus. MLMI@MICCAI 2019: 169-177 - [c3]Joost van der Putten, Fons van der Sommen
Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function. Image Processing 2019: 109492J - 2018
- [c2]Joost van der Putten
Bladder Cancer Segmentation on Multispectral Images. ICDSC 2018: 13:1-13:4 - [c1]Joost van der Putten
Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma. Computer-Aided Diagnosis 2018: 105753O - 2017
- [i1]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:
Proceedings of Workshop AEW10: Concepts in Information Theory and Communications. CoRR abs/1707.08567 (2017)
Coauthor Index
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