Joost van der Putten

According to our database, Joost van der Putten authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency.

Tim Boers, Kiki N. Fockens, Joost A. van der Putten, Tim J. M. Jaspers, Carolus H. J. Kusters, Jelmer B. Jukema, Martijn R. Jong, Maarten R. Struyvenberg, Jeroen de Groof, Jacques J. Bergman, Peter H. N. de With, Fons van der Sommen

Medical Image Anal., 2024

2022

Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task.

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach.

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

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks.

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

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus.

Stefan Cornelissen, Joost A. van der Putten, T. G. W. Boers, Jelmer B. Jukema, Kiki N. Fockens, Jacques J. G. H. M. Bergman, Fons van der Sommen, Peter H. N. de With

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Multi-scale Ensemble of ResNet Variants.

Joost van der Putten, Farhad Ghazvinian Zanjani

Proceedings of the Computer-Aided Analysis of Gastrointestinal Videos, 2021

2020

Improving Temporal Stability and Accuracy for Endoscopic Video Tissue Classification Using Recurrent Neural Networks.

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

Sensors, 2020

Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks.

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

Neural Comput. Appl., 2020

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

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

Comput. Medical Imaging Graph., 2020

Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study.

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

Artif. Intell. Medicine, 2020

Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems.

Joost van der Putten, Fons van der Sommen, Peter H. N. de With

IEEE Access, 2020

Influence of decoder size for binary segmentation tasks in medical imaging.

Joost van der Putten, Fons van der Sommen, Peter H. N. de With

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks.

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

Proceedings of the Medical Imaging 2020: Image Processing, 2020

The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning.

Levi Verhage, Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten R. Struyvenberg, Peter H. N. de With

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities.

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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

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

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

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus.

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

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities.

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models.

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

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma.

Joost van der Putten, Svitlana Zinger, Fons van der Sommen, Peter H. N. de With, Mathias Prokop, John Hermans

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Bladder Cancer Segmentation on Multispectral Images.

Joost van der Putten, Fons van der Sommen, Svitlana Zinger, Daniel M. de Bruin, Guido Kamphuis, Peter H. N. de With

Proceedings of the 12th International Conference on Distributed Smart Cameras, 2018

2017

Proceedings of Workshop AEW10: Concepts in Information Theory and Communications.

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

CoRR, 2017