Bas H. M. van der Velden

25 papers B 1Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Colony Grounded SAM2: Zero-shot detection and segmentation of bacterial colonies using foundation models. CoRR Daan Korporaal, Patrick de Kruijf, Ralph H. G. M. Litjens, Bas H. M. van der Velden
2025	J	`jnl`	Automated segmenta-on of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023. CoRR 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, Satoshi Kondo, Satoshi Kasai, Marek Wodzinski, Henning Müller, Jin Ye, Junjun He, Yannick Kirchhoff, M. R. Rokkus, G. Haokai, S. Zitong, M. Fernández-Patón, Diana Veiga Canuto, D. G. Ellis, Michele R. Aizenberg, Bas H. M. van der Velden, Hugo J. Kuijf, A. De Luca, Alida F. W. van der Steeg
2025	J	`jnl`	BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification. CoRR Foteini Papadopoulou, Osman Mutlu, Neris Özen, Bas H. M. van der Velden, Iris Hendrickx, Ali Hürriyetoglu
2025	J	`jnl`	Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images: The CROWN challenge. Medical Image Anal. 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, Matthieu Coupet, Félix Dumais, Adrian Galdran, Junyi Zhang, Wei Liu, Ting Ma, Madhu S. Nair, Mathieu Naudin, Preena K. P., Keerthi A. S. Pillai, Pengcheng Shi, Thierry Urruty, Yakang Dai, Kaiyuan Yang, Fabio Musio, Bjoern H. Menze, Birgitta K. Velthuis, Hugo J. Kuijf
2025	J	`jnl`	Food safety trends across Europe: insights from the 392-million-entry CompreHensive European Food Safety (CHEFS) database. CoRR 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
2025	J	`jnl`	Identifying environmental factors associated with tetrodotoxin contamination in bivalve mollusks using eXplainable AI. CoRR M. C. Schoppema, Bas H. M. van der Velden, Ali Hurriyetoglu, M. D. Klijnstra, E. J. Faassen, Arjen Gerssen, H. J. van der Fels-Klerx
2024	J	`jnl`	Federated learning in food research. CoRR Zuzanna Fendor, Bas H. M. van der Velden, Xinxin Wang, Andrea Carnoli Jr., Osman Mutlu, Ali Hürriyetoglu
2023	—	`conf`	Evaluation of multiparametric MRI for deep learning-based segmentation of Wilms tumor. Image Perception, Observer Performance, and Technology Assessment Myrthe A. D. Buser, Marc H. W. A. Wijnen, Alida F. W. van der Steeg, Bas H. M. van der Velden
2022	J	`jnl`	Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. Medical Image Anal. Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, Max A. Viergever
2022	—	`conf`	Multi-modal Volumetric Concept Activation to Explain Detection and Classification of Metastatic Prostate Cancer on PSMA-PET/CT. iMIMIC@MICCAI 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
2022	J	`jnl`	Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT. CoRR 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
2022	J	`jnl`	Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR 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, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne
2021	J	`jnl`	Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. CoRR Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, Max A. Viergever
2021	—	`conf`	Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT. KiTS@MICCAI Christina B. Lund, Bas H. M. van der Velden
2021	J	`jnl`	Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT. CoRR Christina B. Lund, Bas H. M. van der Velden
2021	J	`jnl`	MixLacune: Segmentation of lacunes of presumed vascular origin. CoRR Denis Kutnar, Bas H. M. van der Velden, Marta Gironés-Sangüesa, Mirjam I. Geerlings, J. Matthijs Biesbroek, Hugo J. Kuijf
2021	J	`jnl`	MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds. CoRR Marta Gironés-Sangüesa, Denis Kutnar, Bas H. M. van der Velden, Hugo J. Kuijf
2020	—	`conf`	Interpretable deep learning regression for breast density estimation on MRI. Computer-Aided Diagnosis Bas H. M. van der Velden, Max A. A. Ragusi, Markus H. A. Janse, Claudette E. Loo, Kenneth G. A. Gilhuijs
2020	J	`jnl`	Interpretable deep learning regression for breast density estimation on MRI. CoRR Bas H. M. van der Velden, Max A. A. Ragusi, Markus H. A. Janse, Claudette E. Loo, Kenneth G. A. Gilhuijs
2020	B	`conf`	Mutual information for unsupervised deep learning image registration. Image Processing Bob D. de Vos, Bas H. M. van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Isgum
2019	—	`conf`	Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. Computer-Aided Diagnosis Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs
2018	J	`jnl`	BPE and computer-extracted parenchymal enhancement for breast cancer risk, response monitoring, and prognosis. CoRR Bas H. M. van der Velden
2018	J	`jnl`	Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. CoRR Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs
2017	J	`jnl`	Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities. CoRR Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum
2016	—	`conf`	Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities. MICCAI (2) Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum