Artikel mit Open-Access-Mandaten - Francesco CiompiWeitere Informationen
GesamtEuropean CommissionKWFNWOGovernment of SpainNIHDoDCancer Research UKVAKnut and Alice Wallenberg FoundationSusan G. KomenNHMRCHEANIHRGovernment of ItalySFIBreast Cancer Now, UKEPSRCMRCANRSCFAIRC Foundation for Cancer Research in ItalySNFCCSWorldwide Cancer Research, UKFondazione CariploZonMwSCFNSFCVersus Arthritis, UKWellcomeState of CalifoniaRoyal Society UK
Nicht verfügbar: 3
Automatic detection of tumor budding in colorectal carcinoma with deep learning
JM Bokhorst, L Rijstenberg, D Goudkade, I Nagtegaal, J van der Laak, ...
Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018
Mandate: Dutch Cancer Society
Cancer-Associated Lymphoid Aggregates in Histology Images: Manual and Deep Learning-Based Quantification Approaches
K Silina, F Ciompi
Tertiary Lymphoid Structures: Methods and Protocols, 231-246, 2024
Mandate: Netherlands Organisation for Scientific Research, European Commission
Color Deconvolution for Color-Agnostic and Cross-Modality Analysis of Immunohistochemistry Whole-Slide Images with Deep Learning
CM Lems, DJ Geijs, JM Bokhorst, M Sülter, L van Eekelen, F Ciompi
2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4, 2024
Mandate: Netherlands Organisation for Scientific Research
Verfügbar: 82
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
Mandate: Dutch Cancer Society
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
Mandate: Netherlands Organisation for Scientific Research
Deep learning in histopathology: the path to the clinic
J Van der Laak, G Litjens, F Ciompi
Nature medicine 27 (5), 775-784, 2021
Mandate: Netherlands Organisation for Scientific Research, Knut and Alice Wallenberg …
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
Mandate: European Commission, Dutch Cancer Society
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
Mandate: Netherlands Organisation for Scientific Research, Government of Italy
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
Mandate: Netherlands Organisation for Scientific Research, European Commission …
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
Mandate: Netherlands Organisation for Scientific Research
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
Mandate: European Commission, Dutch Cancer Society
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
Mandate: Dutch Cancer Society
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
Mandate: European Commission, Dutch Cancer Society
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
Mandate: US National Institutes of Health, Government of Spain
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
Mandate: US Department of Defense, US National Institutes of Health, US Department of …
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
Mandate: Netherlands Organisation for Scientific Research, European Commission, Dutch …
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
Mandate: US Department of Defense, US National Institutes of Health, US Department of …
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
Mandate: US National Institutes of Health, Netherlands Organisation for Scientific …
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
OGF Geessink, A Baidoshvili, JM Klaase, B Ehteshami Bejnordi, ...
Cellular oncology 42, 331-341, 2019
Mandate: Dutch Cancer Society
PD-1/PD-L1 in cancer: pathophysiological, diagnostic and therapeutic aspects
E Munari, FR Mariotti, L Quatrini, P Bertoglio, N Tumino, P Vacca, ...
International journal of molecular sciences 22 (10), 5123, 2021
Mandate: European Commission, AIRC Foundation for Cancer Research in Italy
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