Mitko Veta
Title
Cited by
Cited by
Year
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
10742017
Breast cancer histopathology image analysis: A review
M Veta, JPW Pluim, PJ Van Diest, MA Viergever
IEEE transactions on biomedical engineering 61 (5), 1400-1411, 2014
4292014
Assessment of algorithms for mitosis detection in breast cancer histopathology images
M Veta, PJ Van Diest, SM Willems, H Wang, A Madabhushi, A Cruz-Roa, ...
Medical image analysis 20 (1), 237-248, 2015
3322015
Automatic nuclei segmentation in H&E stained breast cancer histopathology images
M Veta, PJ Van Diest, R Kornegoor, A Huisman, MA Viergever, ...
PloS one 8 (7), e70221, 2013
2782013
Going fully digital: Perspective of a Dutch academic pathology lab
N Stathonikos, M Veta, A Huisman, PJ van Diest
Journal of Pathology Informatics, 2013
1402013
Adversarial training and dilated convolutions for brain MRI segmentation
P Moeskops, M Veta, MW Lafarge, KAJ Eppenhof, JPW Pluim
Deep learning in medical image analysis and multimodal learning for clinical …, 2017
1032017
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ...
Medical image analysis 54, 111-121, 2019
912019
Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images
M Veta, A Huisman, MA Viergever, PJ van Diest, JPW Pluim
2011 IEEE international symposium on biomedical imaging: from nano to macro …, 2011
832011
Roto-translation covariant convolutional networks for medical image analysis
EJ Bekkers, MW Lafarge, M Veta, KAJ Eppenhof, JPW Pluim, R Duits
International conference on medical image computing and computer-assisted …, 2018
662018
Domain-adversarial neural networks to address the appearance variability of histopathology images
MW Lafarge, JPW Pluim, KAJ Eppenhof, P Moeskops, M Veta
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
662017
Prognostic value of automatically extracted nuclear morphometric features in whole slide images of male breast cancer
M Veta, R Kornegoor, A Huisman, AHJ Verschuur-Maes, MA Viergever, ...
Modern pathology 25 (12), 1559-1565, 2012
602012
Deformable image registration using convolutional neural networks
KAJ Eppenhof, MW Lafarge, P Moeskops, M Veta, JPW Pluim
Medical Imaging 2018: Image Processing 10574, 105740S, 2018
562018
Mitosis counting in breast cancer: Object-level interobserver agreement and comparison to an automatic method
M Veta, PJ Van Diest, M Jiwa, S Al-Janabi, JPW Pluim
PloS one 11 (8), e0161286, 2016
562016
Detecting mitotic figures in breast cancer histopathology images
M Veta, PJ van Diest, JPW Pluim
Medical Imaging 2013: Digital Pathology 8676, 867607, 2013
432013
Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation
M Veta, PJ Van Diest, JPW Pluim
International conference on medical image computing and computer-assisted …, 2016
272016
Deep‐learning‐based preprocessing for quantitative myocardial perfusion MRI
CM Scannell, M Veta, ADM Villa, EC Sammut, J Lee, M Breeuwer, ...
Journal of Magnetic Resonance Imaging 51 (6), 1689-1696, 2020
92020
Learning domain-invariant representations of histological images
MW Lafarge, JPW Pluim, KAJ Eppenhof, M Veta
Frontiers in medicine 6, 162, 2019
72019
Deep learning with convolutional neural networks for histopathology image analysis
D Bošnački, N van Riel, M Veta
Automated Reasoning for Systems Biology and Medicine, 453-469, 2019
72019
Roto-translation equivariant convolutional networks: Application to histopathology image analysis
MW Lafarge, EJ Bekkers, JPW Pluim, R Duits, M Veta
Medical Image Analysis 68, 101849, 2021
62021
Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks
KAJ Eppenhof, M Maspero, MHF Savenije, JCJ de Boer, ...
Medical physics 47 (3), 1238-1248, 2020
62020
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Articles 1–20