Bas H. M. van der Velden

According to our database, Bas H. M. van der Velden authored at least 20 papers between 2016 and 2026.

Collaborative distances:

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

2026

Colony Grounded SAM2: Zero-shot detection and segmentation of bacterial colonies using foundation models.

Daan Korporaal, Patrick de Kruijf, Ralph H. G. M. Litjens, Bas H. M. van der Velden

CoRR, March, 2026

2025

Identifying environmental factors associated with tetrodotoxin contamination in bivalve mollusks using eXplainable AI.

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

CoRR, November, 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, July, 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, Satoshi Kondo, Satoshi Kasai, Marek Wodzinski, Henning Müller, Jin Ye, Junjun He, Yannick Kirchhoff, M. R. Rokkus, G. Haokai, S. Zitong, Matías 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

CoRR, May, 2025

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, 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

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 Hurriyetoglu

Proceedings of the 19th International Workshop on Semantic Evaluation, 2025

2024

<i>Where is VALDO?</i> 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, 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

Medical Image Anal., January, 2024

Federated learning in food research.

Zuzanna Fendor, Bas H. M. van der Velden, Xinxin Wang, Andrea Carnoli Jr., Osman Mutlu, Ali Hürriyetoglu

CoRR, 2024

2023

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

Proceedings of the Medical Imaging 2023: Image Perception, 2023

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

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, 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

CoRR, 2022

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

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

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

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

Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT.

Christina B. Lund, Bas H. M. van der Velden

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021

2020

Mutual information for unsupervised deep learning image registration.

Bob D. de Vos, Bas H. M. van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Isgum

Proceedings of the Medical Imaging 2020: Image Processing, 2020

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

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

2019

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018

BPE and computer-extracted parenchymal enhancement for breast cancer risk, response monitoring, and prognosis.

Bas H. M. van der Velden

CoRR, 2018

2016

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016