MARINI, NICOLÒ
MARINI, NICOLÒ
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A MULTI-TASK MULTIPLE INSTANCE LEARNING ALGORITHM TO ANALYZE LARGE WHOLE SLIDE IMAGES FROM BRIGHT CHALLENGE 2022
2022 Marini, N; Wodzinski, M; Atzori, M; Muller, H
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification
2021 Otalora, S.; Marini, N.; Muller, H.; Atzori, M.
Empowering digital pathology applications through explainable knowledge extraction tools
2022 Marchesin, S.; Giachelle, F.; Marini, N.; Atzori, M.; Boytcheva, S.; Buttafuoco, G.; Ciompi, F.; Di Nunzio, G. M.; Fraggetta, F.; Irrera, O.; Muller, H.; Primov, T.; Vatrano, S.; Silvello, G.
HE-adversarial network: A convolutional neural network to learn stain-invariant features through Hematoxylin Eosin regression
2021 Marini, N.; Atzori, M.; Otalora, S.; Marchand-Maillet, S.; Muller, H.
Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images
2021 Marini, N.; Otalora, S.; Podareanu, D.; van Rijthoven, M.; van der Laak, J.; Ciompi, F.; Muller, H.; Atzori, M.
Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations
2021 Marini, N.; Otalora, S.; Muller, H.; Atzori, M.
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification
2021 Marini, N.; Otalora, S.; Muller, H.; Atzori, M.
Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks
2020 Otalora, S.; Marini, N.; Muller, H.; Atzori, M.