Spremljaj
Francesco Ciompi
Francesco Ciompi
Radboud University Medical Center, Nijmegen
Preverjeni e-poštni naslov na radboudumc.nl - Domača stran
Naslov
Navedeno
Navedeno
Leto
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
141732017
Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks
AAA Setio, F Ciompi, G Litjens, P Gerke, C Jacobs, SJ Van Riel, ...
IEEE transactions on medical imaging 35 (5), 1160-1169, 2016
14382016
Deep learning in histopathology: the path to the clinic
J Van der Laak, G Litjens, F Ciompi
Nature medicine 27 (5), 775-784, 2021
7302021
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
5642019
Towards automatic pulmonary nodule management in lung cancer screening with deep learning
F Ciompi, K Chung, SJ Van Riel, AAA Setio, PK Gerke, C Jacobs, ...
Scientific reports 7 (1), 46479, 2017
4622017
State-of-the-art deep learning in cardiovascular image analysis
G Litjens, F Ciompi, JM Wolterink, BD de Vos, T Leiner, J Teuwen, I Išgum
JACC: Cardiovascular imaging 12 (8 Part 1), 1549-1565, 2019
3902019
Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans
B Van Ginneken, AAA Setio, C Jacobs, F Ciompi
2015 IEEE 12th International symposium on biomedical imaging (ISBI), 286-289, 2015
3862015
Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box
F Ciompi, B de Hoop, SJ van Riel, K Chung, ET Scholten, M Oudkerk, ...
Medical image analysis 26 (1), 195-202, 2015
3682015
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
3252019
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
3002018
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
2822019
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
2452017
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
M Van Rijthoven, M Balkenhol, K Siliņa, J Van Der Laak, F Ciompi
Medical image analysis 68, 101890, 2021
1682021
Standardized evaluation methodology and reference database for evaluating IVUS image segmentation
S Balocco, C Gatta, F Ciompi, A Wahle, P Radeva, S Carlier, G Unal, ...
Computerized medical imaging and graphics 38 (2), 70-90, 2014
1672014
Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer
Z Kos, E Roblin, RS Kim, S Michiels, BD Gallas, W Chen, KK van de Vijver, ...
NPJ breast cancer 6 (1), 17, 2020
1652020
Learning to detect lymphocytes in immunohistochemistry with deep learning
Z Swiderska-Chadaj, H Pinckaers, M Van Rijthoven, M Balkenhol, ...
Medical image analysis 58, 101547, 2019
1562019
Report on computational assessment of tumor infiltrating lymphocytes from the International Immuno-Oncology Biomarker Working Group
M Amgad, ES Stovgaard, E Balslev, J Thagaard, W Chen, S Dudgeon, ...
NPJ breast cancer 6 (1), 16, 2020
1512020
Improving airway segmentation in computed tomography using leak detection with convolutional networks
JP Charbonnier, EM Van Rikxoort, AAA Setio, CM Schaefer-Prokop, ...
Medical image analysis 36, 52-60, 2017
1272017
Deep learning assisted mitotic counting for breast cancer
MCA Balkenhol, D Tellez, W Vreuls, PC Clahsen, H Pinckaers, F Ciompi, ...
Laboratory investigation 99 (11), 1596-1606, 2019
1112019
Mitosis domain generalization in histopathology images—the MIDOG challenge
M Aubreville, N Stathonikos, CA Bertram, R Klopfleisch, N Ter Hoeve, ...
Medical Image Analysis 84, 102699, 2023
1102023
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