Takip et
Jeroen van der Laak
Jeroen van der Laak
Radboud University Medical Center
radboudumc.nl üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
A survey on deep learning in medical image analysis
G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ...
Medical image analysis 42, 60-88, 2017
139722017
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
33152017
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
G Litjens, CI Sánchez, N Timofeeva, M Hermsen, I Nagtegaal, I Kovacs, ...
Scientific reports 6 (1), 26286, 2016
12242016
Deep learning in histopathology: the path to the clinic
J Van der Laak, G Litjens, F Ciompi
Nature medicine 27 (5), 775-784, 2021
7062021
Skeletal muscle ultrasound: correlation between fibrous tissue and echo intensity
S Pillen, RO Tak, MJ Zwarts, MMY Lammens, KN Verrijp, IMP Arts, ...
Ultrasound in medicine & biology 35 (3), 443-446, 2009
6742009
From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge
P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ...
IEEE transactions on medical imaging 38 (2), 550-560, 2018
6402018
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
W Bulten, H Pinckaers, H van Boven, R Vink, T de Bel, B van Ginneken, ...
The Lancet Oncology 21 (2), 233-241, 2020
6372020
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
D Tellez, G Litjens, P Bándi, W Bulten, JM Bokhorst, F Ciompi, ...
Medical image analysis 58, 101544, 2019
5502019
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
E Abels, L Pantanowitz, F Aeffner, MD Zarella, J Van der Laak, MM Bui, ...
The Journal of pathology 249 (3), 286-294, 2019
4292019
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
G Litjens, P Bandi, B Ehteshami Bejnordi, O Geessink, M Balkenhol, ...
GigaScience 7 (6), giy065, 2018
4232018
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
W Bulten, K Kartasalo, PHC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ...
Nature medicine 28 (1), 154-163, 2022
4172022
Stain specific standardization of whole-slide histopathological images
BE Bejnordi, G Litjens, N Timofeeva, I Otte-Höller, A Homeyer, ...
IEEE transactions on medical imaging 35 (2), 404-415, 2015
3322015
Deep learning–based histopathologic assessment of kidney tissue
M Hermsen, T de Bel, M Den Boer, EJ Steenbergen, J Kers, S Florquin, ...
Journal of the American Society of Nephrology 30 (10), 1968-1979, 2019
3172019
Whole-slide mitosis detection in H&E breast histology using PHH3 as a reference to train distilled stain-invariant convolutional networks
D Tellez, M Balkenhol, I Otte-Höller, R van de Loo, R Vogels, P Bult, ...
IEEE transactions on medical imaging 37 (9), 2126-2136, 2018
2952018
Neural image compression for gigapixel histopathology image analysis
D Tellez, G Litjens, J Van der Laak, F Ciompi
IEEE transactions on pattern analysis and machine intelligence 43 (2), 567-578, 2019
2802019
The importance of stain normalization in colorectal tissue classification with convolutional networks
F Ciompi, O Geessink, BE Bejnordi, GS De Souza, A Baidoshvili, G Litjens, ...
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
2462017
Peroxisome proliferator-activated receptor γ activation promotes infiltration of alternatively activated macrophages into adipose tissue
R Stienstra, C Duval, S Keshtkar, J van der Laak, S Kersten, M Muller
Journal of Biological Chemistry 283 (33), 22620-22627, 2008
2362008
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
BE Bejnordi, G Zuidhof, M Balkenhol, M Hermsen, P Bult, B van Ginneken, ...
Journal of Medical Imaging 4 (4), 044504-044504, 2017
2282017
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
B Ehteshami Bejnordi, M Mullooly, RM Pfeiffer, S Fan, PM Vacek, ...
Modern Pathology 31 (10), 1502-1512, 2018
2202018
Ki-67 as a prognostic marker in mantle cell lymphoma—consensus guidelines of the pathology panel of the European MCL Network
W Klapper, E Hoster, O Determann, I Oschlies, J van der Laak, F Berger, ...
Journal of hematopathology 2, 103-111, 2009
1992009
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