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Bas H. M. van der Velden
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2020 – today
- 2024
- [j2]Carole H. Sudre
, Kimberlin M. H. van Wijnen, Florian Dubost, Hieab Adams, David Atkinson
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Medical Image Anal. 91: 103029 (2024) - [i11]Zuzanna Fendor, Bas H. M. van der Velden, Xinxin Wang, Andrea Carnoli Jr., Osman Mutlu, Ali Hürriyetoglu:
Federated learning in food research. CoRR abs/2406.06202 (2024) - 2023
- [c7]Myrthe A. D. Buser, Marc H. W. A. Wijnen, Alida F. W. van der Steeg, Bas H. M. van der Velden:
Evaluation of multiparametric MRI for deep learning-based segmentation of Wilms tumor. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- [j1]Bas H. M. van der Velden
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. Medical Image Anal. 79: 102470 (2022) - [c6]Rosa C. J. Kraaijveld, Marielle E. P. Philippens, Wietse S. C. Eppinga, Ina M. Jürgenliemk-Schulz, Kenneth G. A. Gilhuijs
Multi-modal Volumetric Concept Activation to Explain Detection and Classification of Metastatic Prostate Cancer on PSMA-PET/CT. iMIMIC@MICCAI 2022: 82-92 - [i10]Rosa C. J. Kraaijveld, Marielle E. P. Philippens, Wietse S. C. Eppinga, Ina M. Jürgenliemk-Schulz, Kenneth G. A. Gilhuijs
Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT. CoRR abs/2208.02555 (2022) - [i9]Carole H. Sudre
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR abs/2208.07167 (2022) - 2021
- [c5]Christina B. Lund, Bas H. M. van der Velden:
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT. KiTS@MICCAI 2021: 129-136 - [i8]Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, Max A. Viergever:
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. CoRR abs/2107.10912 (2021) - [i7]Marta Gironés-Sangüesa, Denis Kutnar, Bas H. M. van der Velden, Hugo J. Kuijf:
MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds. CoRR abs/2108.02482 (2021) - [i6]Denis Kutnar, Bas H. M. van der Velden, Marta Gironés-Sangüesa, Mirjam I. Geerlings, J. Matthijs Biesbroek, Hugo J. Kuijf:
MixLacune: Segmentation of lacunes of presumed vascular origin. CoRR abs/2108.02483 (2021) - [i5]Christina B. Lund, Bas H. M. van der Velden:
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT. CoRR abs/2109.05816 (2021) - 2020
- [c4]Bas H. M. van der Velden, Max A. A. Ragusi, Markus H. A. Janse, Claudette E. Loo, Kenneth G. A. Gilhuijs
Interpretable deep learning regression for breast density estimation on MRI. Medical Imaging: Computer-Aided Diagnosis 2020 - [c3]Bob D. de Vos, Bas H. M. van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs
Mutual information for unsupervised deep learning image registration. Medical Imaging: Image Processing 2020: 113130R - [i4]Bas H. M. van der Velden, Max A. A. Ragusi, Markus H. A. Janse, Claudette E. Loo, Kenneth G. A. Gilhuijs:
Interpretable deep learning regression for breast density estimation on MRI. CoRR abs/2012.04336 (2020)
2010 – 2019
- 2019
- [c2]Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. Medical Imaging: Computer-Aided Diagnosis 2019: 109500D - 2018
- [i3]Bas H. M. van der Velden:
BPE and computer-extracted parenchymal enhancement for breast cancer risk, response monitoring, and prognosis. CoRR abs/1809.05510 (2018) - [i2]Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs:
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. CoRR abs/1811.09063 (2018) - 2017
- [i1]Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum:
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities. CoRR abs/1704.03379 (2017) - 2016
- [c1]Pim Moeskops, Jelmer M. Wolterink
Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities. MICCAI (2) 2016: 478-486
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last updated on 2024-10-07 21:14 CEST by the dblp team
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