Computer-aided detection of early cancer in the esophagus using HD endoscopy images. - Fons van der Sommen; Svitlana Zinger; Erik J. Schoon; Peter H. N. de With (Computer-Aided Diagnosis, 2013)

Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy. - Arnaud A. A. Setio; Fons van der Sommen; Svitlana Zinger; Erik J. Schoon; Peter H. N. de With (VISAPP (1), 2013)

Supportive automatic annotation of early esophageal cancer using local gabor and color features. - Fons van der Sommen; Svitlana Zinger; Erik J. Schoon; Peter H. N. de With (Neurocomputing, 2014)

Real-time semantic context labeling for image understanding. - Martin A. R. Pieck; Fons van der Sommen; Svitlana Zinger; Peter H. N. de With (ICIP, 2015)

Automatic assessment of informative frames in endoscopic video. - Norbertus Christianus van Dongen; Fons van der Sommen; Svitlana Zinger; Erik J. Schoon; Peter H. N. de With (ISBI, 2016)

Early esophageal cancer detection using RF classifiers. - Markus H. A. Janse; Fons van der Sommen; Svitlana Zinger; Erik J. Schoon; Peter H. N. de With (Computer-Aided Diagnosis, 2016)

Sweet-spot training for early esophageal cancer detection. - Fons van der Sommen; Svitlana Zinger; Erik J. Schoon; Peter H. N. de With (Computer-Aided Diagnosis, 2016)

Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry. - Fons van der Sommen; Sveta Zinger; Peter H. N. de With (Image-Guided Procedures, 2016)

Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting. - Alexandros Rikos; Fons van der Sommen; Anne-Fré Swager; Svitlana Zinger; Erik J. Schoon; Wouter L. Curvers; Jacques J. Bergman; Peter H. N. de With (CBMS, 2017)

Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging. - Sander Klomp; Fons van der Sommen; Anne-Fré Swager; Svitlana Zinger; Erik J. Schoon; Wouter L. Curvers; Jacques J. Bergman; Peter H. N. de With (Computer-Aided Diagnosis, 2017)

Proceedings of Workshop AEW10: Concepts in Information Theory and Communications. - Kees A. Schouhamer Immink; Stan Baggen; Ferdaous Chaabane; Yanling Chen 001; Peter H. N. de With; Héla Gassara; Hamed Gharbi; Adel Ghazel; Khaled Grati; Naira M. Grigoryan; Ashot N. Harutyunyan; Masayuki Imanishi; et al. (CoRR, 2017)

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 (ICDSC, 2018)

Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning. - Sjors van Riel; Fons van der Sommen; Sveta Zinger; Erik J. Schoon; Peter H. N. de With (ICIP, 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 (Computer-Aided Diagnosis, 2018)

How to Exploit Weaknesses in Biomedical Challenge Design and Organization. - Annika Reinke; Matthias Eisenmann; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Peter M. Full; Hrvoje Bogunovic; Bennett A. Landman; Oskar Maier; Bjoern H. Menze; Gregory C. Sharp; Korsuk Sirinukunwattana; et al. (MICCAI (4), 2018)

Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy. - Fons van der Sommen; Sander Klomp; Anne-Fré Swager; Svitlana Zinger; Wouter L. Curvers; Jacques J. Bergman; Erik J. Schoon; Peter H. N. de With (Comput. Medical Imaging Graph., 2018)

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. - Lena Maier-Hein; Matthias Eisenmann; Annika Reinke; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Tal Arbel; Hrvoje Bogunovic; Andrew P. Bradley; Aaron Carass; Carolin Feldmann; Alejandro F. Frangi; et al. (CoRR, 2018)

Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures. - Francesca Manni; Xin Liu; Ronald Holthuizen; Svitlana Zinger; Fons van der Sommen; Caifeng Shan; Marco Mamprin; Gustav Burström; Adrian Elmi Terander; Erik Edström; Peter H. N. de With (EMBC, 2019)

Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models. - Michelle C. A. van Grinsven; Thom Scheeve; Ramon-Michel Schreuder; Fons van der Sommen; Erik J. Schoon; Peter H. N. de With (ICIP, 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 (ICIP, 2019)

Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation. - Roger Fonollá; Fons van der Sommen; Ramon-Michel Schreuder; Erik J. Schoon; Peter H. N. de With (ISBI, 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 (ISBI, 2019)

Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks. - Farhad Ghazvinian Zanjani; Andreas Panteli; Svitlana Zinger; Fons van der Sommen; Tao Tan 002; Benjamin Balluff; D. R. Naomi Vos; Shane R. Ellis; Ron M. A. Heeren; Marit Lucas; Henk A. Marquering; Ivo G. H. Jansen; et al. (ISBI, 2019)

A novel clinical gland feature for detection of early Barrett's neoplasia using volumetric laser endomicroscopy. - Thom Scheeve; Maarten R. Struyvenberg; Wouter L. Curvers; Albert J. de Groof; Erik J. Schoon; Jacques J. G. H. M. Bergman; Fons van der Sommen; Peter H. N. de With (Computer-Aided Diagnosis, 2019)

Computer-aided classification of colorectal polyps using blue-light and linked-color imaging. - Thom Scheeve; Ramon-Michel Schreuder; Fons van der Sommen; Joep E. G. IJspeert; Evelien Dekker; Erik J. Schoon; Peter H. N. de With (Computer-Aided Diagnosis, 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 (MLMI@MICCAI, 2019)

Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks. - J. van Kersbergen; Farhad Ghazvinian Zanjani; Sveta Zinger; Fons van der Sommen; Benjamin Balluff; D. R. Naomi Vos; Shane R. Ellis; Ron M. A. Heeren; Marit Lucas; Henk A. Marquering; Ivo G. H. Jansen; C. D. Savci-Heijink; et al. (Digital Pathology, 2019)

Automated tumor assessment of squamous cell carcinoma on tongue cancer patients with hyperspectral imaging. - Francesca Manni; Fons van der Sommen; Sveta Zinger; Esther Kho; Susan G. Brouwer de Koning; Theo Ruers; Caifeng Shan; Jean Schleipen; Peter H. N. de With (Image-Guided Procedures, 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 (Image Processing, 2019)

Hyperspectral imaging for colon cancer classification in surgical specimens: towards optical biopsy during image-guided surgery. - Francesca Manni; Roger Fonollá; Fons van der Sommen; Svitlana Zinger; Caifeng Shan; Esther Kho; Susan G. Brouwer de Koning; Theo Ruers; Peter H. N. de With (EMBC, 2020)

Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections. - Luis Albert Zavala-Mondragón; Fons van der Sommen; Danny Ruijters; Klaus J. Engel; Heidrun Steinhauser; Peter H. N. de With (ISBI, 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 (Computer-Aided Diagnosis, 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 (Computer-Aided Diagnosis, 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 (Image Processing, 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 (Image Processing, 2020)

Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks. - Luis Albert Zavala-Mondragón; Danny Ruijters; Peter van de Haar; Peter H. N. de With; Fons van der Sommen (MLSP, 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)

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)

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)

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)

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)

Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach. - Francesca Manni; Fons van der Sommen; Himar Fabelo; Svitlana Zinger; Caifeng Shan; Erik Edström; Adrian Elmi Terander; Samuel Ortega; Gustavo Marrero Callicó; Peter H. N. de With (Sensors, 2020)

Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery. - Francesca Manni; Adrian Elmi Terander; Gustav Burström; Oscar Persson; Erik Edström; Ronald Holthuizen; Caifeng Shan; Svitlana Zinger; Fons van der Sommen; Peter H. N. de With (Sensors, 2020)

On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis. - Catherine Taelman; Saloua Chlaily; Eduard Khachatrian; Fons van der Sommen; Andrea Marinoni (CIKM Workshops, 2021)

Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content. - Koen C. Kusters; Luis Albert Zavala-Mondragón; Javier Oliván Bescós; Peter M. J. Rongen; Peter H. N. de With; Fons van der Sommen (EMBC, 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 (ICIP, 2021)

Triplet network for classification of benign and pre-malignant polyps. - Roger Fonolla; Maciej Smyl; Fons van der Sommen; Ramon-Michel Schreuder; Erik J. Schoon; Peter H. N. de With (Computer-Aided Diagnosis, 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 (Computer-Aided Diagnosis, 2021)

Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows. - M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Ruud J. G. van Sloun; Peter H. N. de With; Fons van der Sommen (UNSURE/PIPPI@MICCAI, 2021)

Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach. - Francesca Manni; Chuchen Cai; Fons van der Sommen; Svitlana Zinger; Caifeng Shan; Erik Edström; Adrian Elmi Terander; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Peter H. N. de With (Image-Guided Procedures, 2021)

Augmented-reality visualization for improved patient positioning workflow during MR-HIFU therapy. - Francesca Manni; Cyril J. Ferrer; Celine E. C. Vincent; Marco Lai; Lambertus W. Bartels; Clemens Bos; Fons van der Sommen; Peter H. N. de With (Image-Guided Procedures, 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 (Image Processing, 2021)

Iterative reconstruction anti-correlated ROF model for noise reduction in dual-energy CBCT imaging. - Luis Albert Zavala-Mondragón; Klaus J. Engel; Bernd Menser; Danny Ruijters; Peter H. N. de With; Fons van der Sommen (Image Processing, 2021)

Automatic image and text-based description for colorectal polyps using BASIC classification. - Roger Fonolla; Quirine E. W. van der Zander; Ramon-Michel Schreuder; Sharmila Subramaniam; Pradeep Bhandari; Ad A. M. Masclee; Erik J. Schoon; Fons van der Sommen; Peter H. N. de With (Artif. Intell. Medicine, 2021)

Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical ImageSegmentation with Normalizing Flows. - M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Ruud J. G. van Sloun; Peter H. N. de With; Fons van der Sommen (CoRR, 2021)

Image Noise Reduction Based on a Fixed Wavelet Frame and CNNs Applied to CT. - Luis Albert Zavala-Mondragón; Peter H. N. de With; Fons van der Sommen (IEEE Trans. Image Process., 2021)

Augmented Reality for Automatically Generating Robust Manufacturing and Maintenance Logs. - Tim J. Schoonbeek; Pierluigi Frisco; Hans Onvlee; Peter H. N. de With; Fons van der Sommen (LIM, 2022)

Colorectal polyp classification using confidence-calibrated convolutional neural networks. - Koen C. Kusters; Thom Scheeve; Nikoo Dehghani; Quirine E. W. van der Zander; Ramon-Michel Schreuder; Ad A. M. Masclee; Erik J. Schoon; Fons van der Sommen; Peter H. N. de With (Computer-Aided Diagnosis, 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 (Computer-Aided Diagnosis, 2022)

Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection. - T. G. W. Boers; Carolus H. J. Kusters; Kiki N. Fockens; Jelmer B. Jukema; Martijn R. Jong; Jeroen de Groof; Jacques J. Bergman; Fons van der Sommen; Peter H. N. de With (CaPTion@MICCAI, 2022)

Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network. - Nikoo Dehghani; Thom Scheeve; Quirine E. W. van der Zander; Ayla Thijssen; Ramon-Michel Schreuder; Ad A. M. Masclee; Erik J. Schoon; Fons van der Sommen; Peter H. N. de With (CaPTion@MICCAI, 2022)

A CAD System for Real-Time Characterization of Neoplasia in Barrett's Esophagus NBI Videos. - Carolus H. J. Kusters; Tim Boers; Jelmer B. Jukema; Martijn R. Jong; Kiki N. Fockens; Albert J. de Groof; Jacques J. Bergman; Fons van der Sommen; Peter H. N. de With (CaPTion@MICCAI, 2022)

Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows. - M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Ruud J. G. van Sloun; Peter H. N. de With; Fons van der Sommen (CaPTion@MICCAI, 2022)

Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features. - Christiaan G. A. Viviers; Mark Ramaekers; Peter H. N. de With; Dimitrios Mavroeidis; Joost Nederend; Misha Luyer; Fons van der Sommen (CaPTion@MICCAI, 2022)

Towards real-time 6D pose estimation of objects in single-view cone-beam x-ray. - Christiaan G. A. Viviers; Joel de Bruijn; Lena Filatova; Peter H. N. de With; Fons van der Sommen (Image-Guided Procedures, 2022)

Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search. - Kurt Stolle; Sebastian Vogel; Fons van der Sommen; Willem P. Sanberg (ECML/PKDD (5), 2022)

Depth estimation from a single SEM image using pixel-wise fine-tuning with multimodal data. - Tim Houben; Thomas Huisman; Maxim Pisarenco; Fons van der Sommen; Peter H. N. de With (Mach. Vis. Appl., 2022)

Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks. - Luis Albert Zavala-Mondragón; Peter M. J. Rongen; Javier Oliván Bescós; Peter H. N. de With; Fons van der Sommen (IEEE Trans. Medical Imaging, 2022)

Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma. - Christiaan G. A. Viviers; Mark Ramaekers; M. M. Amaan Valiuddin; Terese Hellström; Nick Tasios; John van der Ven; Igor Jacobs; Lotte Ewals; Joost Nederend; Peter H. N. de With; Misha Luyer; Fons van der Sommen (ICCV (Workshops), 2023)

Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration. - T. G. W. Boers; Carolus H. J. Kusters; Kiki N. Fockens; Jelmer B. Jukema; Martijn R. Jong; Jeroen de Groof; Jacques J. Bergman; Fons van der Sommen; Peter H. N. de With (Computer-Aided Diagnosis, 2023)

Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization. - Nikoo Dehghani; Thom Scheeve; T. G. W. Boers; Quirine E. W. van der Zander; Ayla Thijssen; Ramon-Michel Schreuder; Ad A. M. Masclee; Erik J. Schoon; Fons van der Sommen; Peter H. N. de With (Computer-Aided Diagnosis, 2023)

Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentation. - Terese Hellström; Christiaan G. A. Viviers; Mark Ramaekers; Nick Tasios; Joost Nederend; Misha Luyer; Peter H. N. de With; Fons van der Sommen (Computer-Aided Diagnosis, 2023)

Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network. - Carolus H. J. Kusters; T. G. W. Boers; Jelmer B. Jukema; Martijn R. Jong; Kiki N. Fockens; Albert J. de Groof; Jacques J. Bergman; Fons van der Sommen; Peter H. N. de With (Computer-Aided Diagnosis, 2023)

How does image quality affect computer-aided diagnosis of colorectal polyps? - Thom Scheeve; Nikoo Dehghani; Quirine E. W. van der Zander; Ayla Thijssen; Ramon-Michel Schreuder; Ad A. M. Masclee; Erik J. Schoon; Fons van der Sommen; Peter H. N. de With (Computer-Aided Diagnosis, 2023)

Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data. - Christiaan G. A. Viviers; M. M. Amaan Valiuddin; Peter H. N. de With; Fons van der Sommen (Computer-Aided Diagnosis, 2023)

Investigating the Impact of Image Quality on Endoscopic AI Model Performance. - Tim J. M. Jaspers; Tim Boers; Carolus H. J. Kusters; Martijn R. Jong; Jelmer B. Jukema; Albert J. de Groof; Jacques J. Bergman; Peter H. N. de With; Fons van der Sommen (AMAI@MICCAI, 2023)

CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis. - Carolus H. J. Kusters; T. G. W. Boers; Tim J. M. Jaspers; Jelmer B. Jukema; Martijn R. Jong; Kiki N. Fockens; Albert J. de Groof; Jacques J. Bergman; Fons van der Sommen; Peter H. N. de With (AMAI@MICCAI, 2023)

Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models. - Sanne E. Okel; Christiaan G. A. Viviers; Mark Ramaekers; Terese Hellström; Nick Tasios; Dimitrios Mavroeidis; Jon R. Pluyter; Igor Jacobs; Misha Luyer; Peter H. N. de With; Fons van der Sommen (AMAI@MICCAI, 2023)

Beyond Action Recognition: Extracting Meaningful Information from Procedure Recordings. - Tim J. Schoonbeek; Hans Onvlee; Pierluigi Frisco; Peter H. N. de With; Fons van der Sommen (VR Workshops, 2023)

A signal processing interpretation of noise-reduction convolutional neural networks. - Luis Albert Zavala-Mondragón; Peter H. N. de With; Fons van der Sommen (CoRR, 2023)

A Signal Processing Interpretation of Noise-Reduction Convolutional Neural Networks: Exploring the mathematical formulation of encoding-decoding CNNs. - Luis Albert Zavala-Mondragón; Peter H. N. de With; Fons van der Sommen (IEEE Signal Process. Mag., 2023)

Evaluating Confidence Calibration in Endoscopic Diagnosis Models. - Nikoo Dehghani; Ayla Thijssen; Quirine E. W. van der Zander; Ramon-Michel Schreuder; Erik J. Schoon; Fons van der Sommen; Peter H. N. de With (CVPR Workshops, 2024)

Find the Assembly Mistakes: Error Segmentation for Industrial Applications. - Dan Lehman; Tim J. Schoonbeek; Shao-Hsuan Hung; Jacek Kustra; Peter H. N. de With; Fons van der Sommen (ECCV Workshops (4), 2024)

Can Your Generative Model Detect Out-of-Distribution Covariate Shift? - Christiaan G. A. Viviers; M. M. Amaan Valiuddin; Francisco Caetano; Lemar Abdi; Lena Filatova; Peter H. N. de With; Fons van der Sommen (ECCV Workshops (17), 2024)

Retaining Informative Latent Variables in Probabilistic Segmentation. - M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Ruud van Sloun; Peter H. N. de With; Fons van der Sommen (ICASSP, 2024)

Effect of Post-Training Pruning and Quantization on Endoscopic Computer-Aided Diagnosis Models. - Willem J. Menu; Nikoo Dehghani; Peter H. N. de With; Fons van der Sommen (ISBI, 2024)

Automated Surgical Urethral Length Estimation for Robot-Assisted Radical Prostatectomy. - Joris V. de Nijs; Tim J. M. Jaspers; Franciscus H. A. Bakker; Willem M. Brinkman; Peter H. N. de With; Fons van der Sommen (ISBI, 2024)

Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging. - Lemar Abdi; M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Peter H. N. de With; Fons van der Sommen (UNSURE@MICCAI, 2024)

Multi-center Ovarian Tumor Classification Using Hierarchical Transformer-Based Multiple-Instance Learning. - Cris H. B. Claessens; Eloy W. R. Schultz; Anna Koch; Ingrid Nies; Terese A. E. Hellström; Joost Nederend; Ilse Niers-Stobbe; Annemarie Bruining; Jurgen M. J. Piek; Peter H. N. de With; Fons van der Sommen (CaPTion@MICCAI, 2024)

Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision. - Tim J. M. Jaspers; Ronald L. P. D. de Jong; Yasmina Al Khalil; Tijn Zeelenberg; Carolus H. J. Kusters; Yiping Li; Romy C. van Jaarsveld; Franciscus H. A. Bakker; Jelle P. Ruurda; Willem M. Brinkman; Peter H. N. de With; Fons van der Sommen (DEMI@MICCAI, 2024)

Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia. - Carolus H. J. Kusters; T. G. W. Boers; Tim J. M. Jaspers; Martijn R. Jong; Rixta A. H. van Eijck van Heslinga; Albert J. de Groof; Jacques J. Bergman; Fons van der Sommen; Peter H. N. de With (CaPTion@MICCAI, 2024)

Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. - Marissa Ramirez de Chanlatte; Phillip Colella; Trevor Darrell; Alexandra Carlson; Peter H. N. de With; Huayu Deng; Shanyan Guan; James Hays; Tim Houben; Thomas Huisman; Nikita Jaipuria; Hans Johansen; et al. (WACV (Workshops), 2024)

IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting. - Tim J. Schoonbeek; Tim Houben; Hans Onvlee; Peter H. N. de With; Fons van der Sommen (WACV, 2024)

A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation. - M. M. Amaan Valiuddin; Ruud J. G. van Sloun; Christiaan G. A. Viviers; Peter H. N. de With; Fons van der Sommen (CoRR, 2024)

Benchmarking Pretrained Attention-based Models for Real-Time Recognition in Robot-Assisted Esophagectomy. - Ronald L. P. D. de Jong; Yasmina Al Khalil; Tim J. M. Jaspers; Romy C. van Jaarsveld; Gino M. Kuiper; Yiping Li; Richard van Hillegersberg; Jelle P. Ruurda; Marcel Breeuwer; Fons van der Sommen (CoRR, 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)

Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies. - Tim J. M. Jaspers; Tim Boers; Carolus H. J. Kusters; Martijn R. Jong; Jelmer B. Jukema; Albert J. de Groof; Jacques J. Bergman; Peter H. N. de With; Fons van der Sommen (Medical Image Anal., 2024)

Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries. - Christiaan G. A. Viviers; Lena Filatova; Maurice Termeer; Peter H. N. de With; Fons van der Sommen (IEEE Trans. Image Process., 2024)

Supervised Representation Learning Towards Generalizable Assembly State Recognition. - Tim J. Schoonbeek; Goutham Balachandran; Hans Onvlee; Tim Houben; Shao-Hsuan Hung; Jacek Kustra; Peter H. N. de With; Fons van der Sommen (IEEE Robotics Autom. Lett., 2024)

Clinical insights to improve medical deep learning design: A comprehensive review of methods and benefits. - Terese A. E. Thornblad; Lotte Ewals; Joost Nederend; Misha Luyer; Peter H. N. de With; Fons van der Sommen (Comput. Biol. Medicine, 2025)

Designing a Computer-Aided Detection system for Barrett 's neoplasia: Insights in architectural choices, training strategies and inference approaches. - Carolus H. J. Kusters; Tim Boers; Tim J. M. Jaspers; Martijn R. Jong; Rixta A. H. van Eijck van Heslinga; Jelmer B. Jukema; Kiki N. Fockens; Albert J. de Groof; Jacques J. Bergman; Fons van der Sommen; Peter H. N. de With (Comput. Methods Programs Biomed., 2025)

Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization. - Carolus H. J. Kusters; Tim J. M. Jaspers; T. G. W. Boers; Martijn R. Jong; Jelmer B. Jukema; Kiki N. Fockens; Albert J. de Groof; Jacques J. Bergman; Fons van der Sommen; Peter H. N. de With (Medical Image Anal., 2025)

DisCoPatch: Batch Statistics Are All You Need For OOD Detection, But Only If You Can Trust Them. - Francisco Caetano; Christiaan G. A. Viviers; Luis Albert Zavala-Mondragón; Peter H. N. de With; Fons van der Sommen (CoRR, 2025)

Scaling up self-supervised learning for improved surgical foundation models. - Tim J. M. Jaspers; Ronald L. P. D. de Jong; Yiping Li; Carolus H. J. Kusters; Franciscus H. A. Bakker; Romy C. van Jaarsveld; Gino M. Kuiper; Richard van Hillegersberg; Jelle P. Ruurda; Willem M. Brinkman; Josien P. W. Pluim; Peter H. N. de With; et al. (CoRR, 2025)

Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging. - M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Ruud J. G. van Sloun; Peter H. N. de With; Fons van der Sommen (IEEE Trans. Medical Imaging, 2025)

AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs. - Francisco Caetano; Christiaan G. A. Viviers; Lena Filatova; Peter H. N. de With; Fons van der Sommen (CoRR, 2025)

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition. - Yiping Li; Ronald L. P. D. de Jong; Sahar Nasirihaghighi; Tim J. M. Jaspers; Romy C. van Jaarsveld; Gino M. Kuiper; Richard van Hillegersberg; Fons van der Sommen; Jelle P. Ruurda; Marcel Breeuwer; Yasmina Al Khalil (CoRR, 2025)

Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models. - Francisco Caetano; Christiaan G. A. Viviers; Peter H. N. de With; Fons van der Sommen (CoRR, 2025)

MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging through Symmetrical Flow Matching. - Francisco Caetano; Lemar Abdi; Christiaan G. A. Viviers; M. M. Amaan Valiuddin; Fons van der Sommen (CoRR, 2025)

Zero-Shot Image Anomaly Detection Using Generative Foundation Models. - Lemar Abdi; M. M. Amaan Valiuddin; Francisco Caetano; Christiaan G. A. Viviers; Fons van der Sommen (CoRR, 2025)

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories. - Lemar Abdi; Francisco Caetano; M. M. Amaan Valiuddin; Christiaan G. A. Viviers; Hamdi Joudeh; Fons van der Sommen (CoRR, 2025)