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Kenneth G. A. Gilhuijs
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2020 – today
- 2022
- [j1]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. Medical Image Anal. 79: 102470 (2022) - [c8]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:
Multi-modal Volumetric Concept Activation to Explain Detection and Classification of Metastatic Prostate Cancer on PSMA-PET/CT. iMIMIC@MICCAI 2022: 82-92 - [i5]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:
Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT. CoRR abs/2208.02555 (2022) - 2021
- [i4]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) - 2020
- [c7]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 - [c6]Bob D. de Vos, Bas H. M. van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring
, Ivana Isgum:
Mutual information for unsupervised deep learning image registration. Medical Imaging: Image Processing 2020: 113130R - [i3]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
- [c5]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
- [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
- [c4]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. MICCAI (2) 2016: 478-486
2000 – 2009
- 2009
- [c3]Tanja Alderliesten
, Claudette Loo, Angelique T. E. F. Schlief, Anita Paape, Michiel van der Meer, Kenneth G. A. Gilhuijs:
Application of an image-guided navigation system in breast cancer localization. Medical Imaging: Image-Guided Procedures 2009: 726111
1990 – 1999
- 1998
- [c2]Kenneth G. A. Gilhuijs, Maryellen Lissak Giger
, Ulrich Bick
:
Automated feature extraction and classification of breast lesions in magnetic resonance images. Medical Imaging: Image Processing 1998 - 1997
- [c1]Marcel B. van Herk, Kenneth G. A. Gilhuijs, Jan C. de Munck, A. Touw:
The effect of image artifacts, organ motion and poor segmentation on the reliability and accuracy of 3D chamfer matching. CVRMed 1997: 715-724
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