Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities. - Pim Moeskops; Jelmer M. Wolterink; Bas H. M. van der Velden; Kenneth G. A. Gilhuijs; Tim Leiner; Max A. Viergever; Ivana Isgum (MICCAI (2), 2016)

BPE and computer-extracted parenchymal enhancement for breast cancer risk, response monitoring, and prognosis. - Bas H. M. van der Velden (CoRR, 2018)

Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. - Bas H. M. van der Velden; Bob D. de Vos; Claudette E. Loo; Hugo J. Kuijf; Ivana Isgum; Kenneth G. A. Gilhuijs (Computer-Aided Diagnosis, 2019)

Interpretable deep learning regression for breast density estimation on MRI. - Bas H. M. van der Velden; Max A. A. Ragusi; Markus H. A. Janse; Claudette E. Loo; Kenneth G. A. Gilhuijs (Computer-Aided Diagnosis, 2020)

Mutual information for unsupervised deep learning image registration. - Bob D. de Vos; Bas H. M. van der Velden; Jörg Sander 003; Kenneth G. A. Gilhuijs; Marius Staring; Ivana Isgum (Image Processing, 2020)

Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT. - Christina B. Lund; Bas H. M. van der Velden (KiTS@MICCAI, 2021)

MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds. - Marta Gironés-Sangüesa; Denis Kutnar; Bas H. M. van der Velden; Hugo J. Kuijf (CoRR, 2021)

MixLacune: Segmentation of lacunes of presumed vascular origin. - Denis Kutnar; Bas H. M. van der Velden; Marta Gironés-Sangüesa; Mirjam I. Geerlings; J. Matthijs Biesbroek; Hugo J. Kuijf (CoRR, 2021)

Multi-modal Volumetric Concept Activation to Explain Detection and Classification of Metastatic Prostate Cancer on PSMA-PET/CT. - Rosa C. J. Kraaijveld; Marielle E. P. Philippens; Wietse S. C. Eppinga; Ina M. Jürgenliemk-Schulz; Kenneth G. A. Gilhuijs; Petra S. Kroon; Bas H. M. van der Velden (iMIMIC@MICCAI, 2022)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 2022)

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. - Bas H. M. van der Velden; Hugo J. Kuijf; Kenneth G. A. Gilhuijs; Max A. Viergever (Medical Image Anal., 2022)

Evaluation of multiparametric MRI for deep learning-based segmentation of Wilms tumor. - Myrthe A. D. Buser; Marc H. W. A. Wijnen; Alida F. W. van der Steeg; Bas H. M. van der Velden (Image Perception, Observer Performance, and Technology Assessment, 2023)

Federated learning in food research. - Zuzanna Fendor; Bas H. M. van der Velden; Xinxin Wang; Andrea Carnoli Jr.; Osman Mutlu; Ali Hürriyetoglu (CoRR, 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)

Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images: The CROWN challenge. - Iris N. Vos; Ynte M. Ruigrok; Edwin Bennink; Mireille R. E. Velthuis; Barbara Paic; Maud E. H. Ophelders; Myrthe A. D. Buser; Bas H. M. van der Velden; Chen Geng 002; Matthieu Coupet; Félix Dumais; Adrian Galdran; et al. (Medical Image Anal., 2025)

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification. - Foteini Papadopoulou; Osman Mutlu; Neris Özen; Bas H. M. van der Velden; Iris Hendrickx; Ali Hürriyetoglu (CoRR, 2025)

Automated segmenta-on of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023. - Myrthe A. D. Buser; D. C. Simons; M. Fitski; Marc H. W. A. Wijnen; A. S. Littooij; A. H. ter Brugge; Iris N. Vos; Markus H. A. Janse; M. den Boer; R. ter Maat; Junya Sato; S. Kido; et al. (CoRR, 2025)

Food safety trends across Europe: insights from the 392-million-entry CompreHensive European Food Safety (CHEFS) database. - Nehir Kizililsoley; Floor van Meer; Osman Mutlu; Wouter F. Hoenderdaal; Rosan G. Hobé; Wenjuan Mu; Arjen Gerssen; H. J. van der Fels-Klerx; Ákos Józwiak; Ioannis Manikas; Ali Hürriyetoglu; Bas H. M. van der Velden (CoRR, 2025)