フォロー
Niccolò Marini
Niccolò Marini
PhD candidate, University Of Geneva, University of Applied Sciences and Arts Western Switzerland
確認したメール アドレス: hevs.ch
タイトル
引用先
引用先
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification
N Marini, S Otálora, H Müller, M Atzori
Medical image analysis 73, 102165, 2021
82021
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification
S Otálora, N Marini, H Müller, M Atzori
BMC Medical Imaging 21 (1), 1-14, 2021
72021
Semi-weakly supervised learning for prostate cancer image classification with teacher-student deep convolutional networks
S Otálora, N Marini, H Müller, M Atzori
Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020
62020
Multi_Scale_Tools: a python library to exploit multi-scale whole slide images
N Marini, S Otálora, D Podareanu, M van Rijthoven, J van der Laak, ...
Data-Enabled Intelligence for Medical Technology Innovation, Volume I, 2022
32022
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations
N Marini, S Otálora, F Ciompi, G Silvello, S Marchesin, S Vatrano, ...
MICCAI Workshop on Computational Pathology, 170-181, 2021
12021
Semi-supervised learning with a teacher-student paradigm for histopathology classification: a resource to face data heterogeneity and lack of local annotations
N Marini, S Otálora, H Müller, M Atzori
International Conference on Pattern Recognition, 105-119, 2021
12021
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression
N Marini, M Atzori, S Otálora, S Marchand-Maillet, H Müller
Proceedings of the IEEE/CVF International Conference on Computer Vision, 601-610, 2021
12021
Modelling Digital Health Data: the ExaMode Ontology for Histopathology
D Dosso, M Atzori, S Boytcheva, F Ciompi, GM Di Nunzio, F Fraggetta, ...
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