Članki z zahtevami za javni dostop - Daniel RACOCEANUVeč o tem
Ni na voljo nikjer: 1
Automated deep learning segmentation of neuritic plaques and neurofibrillary tangles in Alzheimer disease brain sections using a proprietary software
L Ingrassia, S Boluda, MC Potier, S Haïk, G Jimenez, A Kar, D Racoceanu, ...
Journal of Neuropathology & Experimental Neurology 83 (9), 752-762, 2024
Zahteve: Howard Hughes Medical Institute, Wellcome Trust, Agence Nationale de la …
Na voljo nekje: 10
Gland segmentation in colon histology images: The glas challenge contest
K Sirinukunwattana, JPW Pluim, H Chen, X Qi, PA Heng, YB Guo, ...
Medical image analysis 35, 489-502, 2017
Zahteve: Austrian Science Fund, Research Grants Council, Hong Kong
Efficient deep learning model for mitosis detection using breast histopathology images
M Saha, C Chakraborty, D Racoceanu
Computerized Medical Imaging and Graphics 64, 29-40, 2018
Zahteve: Department of Science & Technology, India
Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography
A Depeursinge, D Racoceanu, J Iavindrasana, G Cohen, A Platon, ...
Artificial intelligence in medicine 50 (1), 13-21, 2010
Zahteve: Swiss National Science Foundation
Weakly supervised framework for cancer region detection of hepatocellular carcinoma in whole-slide pathologic images based on multiscale attention convolutional neural network
S Diao, Y Tian, W Hu, J Hou, R Lambo, Z Zhang, Y Xie, X Nie, F Zhang, ...
The American journal of pathology 192 (3), 553-563, 2022
Zahteve: National Natural Science Foundation of China
A model of tumor architecture and spatial interactions with tumor microenvironment in breast carcinoma
BB Cheikh, C Bor-Angelier, D Racoceanu
Medical Imaging 2017: Digital Pathology 10140, 73-80, 2017
Zahteve: European Commission
Spatial interaction analysis with graph based mathematical morphology for histopathology
BB Cheikh, N Elie, B Plancoulaine, C Bor-Angelier, D Racoceanu
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
Zahteve: European Commission
PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies
M Ounissi, M Latouche, D Racoceanu
Scientific Reports 14 (1), 6482, 2024
Zahteve: Agence Nationale de la Recherche
Deciphering oxygen distribution and hypoxia profiles in the tumor microenvironment: a data-driven mechanistic modeling approach
P Kumar, M Lacroix, P Dupré, J Arslan, L Fenou, B Orsetti, L Le Cam, ...
Physics in Medicine & Biology 69 (12), 125023, 2024
Zahteve: National Institute of Health and Medical Research, France, Agence Nationale …
The intriguing effect of frequency disentangled learning on medical image segmentation
G Fu, G Jimenez, S Loizillon, L Chougar, D Dormont, R Valabregue, ...
Medical Imaging 2024: Image Processing 12926, 366-373, 2024
Zahteve: European Commission, Agence Nationale de la Recherche
Computational Pathology for Brain Disorders
G Jiménez, D Racoceanu
Machine Learning for Brain Disorders, 533-572, 2023
Zahteve: Agence Nationale de la Recherche
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