Niccolň Marini
Niccolň Marini
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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
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
N Marini, S Marchesin, S Otálora, M Wodzinski, A Caputo, ...
NPJ digital medicine 5 (1), 102, 2022
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), 77, 2021
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
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, ...
Frontiers in Computer Science 3, 684521, 2021
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
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
Empowering digital pathology applications through explainable knowledge extraction tools
S Marchesin, F Giachelle, N Marini, M Atzori, S Boytcheva, G Buttafuoco, ...
Journal of pathology informatics 13, 100139, 2022
Data-driven color augmentation for H&E stained images in computational pathology
N Marini, S Otalora, M Wodzinski, S Tomassini, AF Dragoni, ...
Journal of Pathology Informatics 14, 100183, 2023
Stainlib: a python library for augmentation and normalization of histopathology H&E images
S Otálora, N Marini, D Podareanu, R Hekster, D Tellez, J Van Der Laak, ...
BioRxiv, 2022.05. 17.492245, 2022
The ACROBAT 2022 challenge: automatic registration of breast cancer tissue
P Weitz, M Valkonen, L Solorzano, C Carr, K Kartasalo, C Boissin, ...
arXiv preprint arXiv:2305.18033, 2023
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
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
A dexire for extracting propositional rules from neural networks via binarization
V Contreras, N Marini, L Fanda, G Manzo, Y Mualla, JP Calbimonte, ...
Electronics 11 (24), 4171, 2022
Attention-based interpretable regression of gene expression in histology
M Graziani, N Marini, N Deutschmann, N Janakarajan, H Müller, ...
International Workshop on Interpretability of Machine Intelligence in …, 2022
A multi-task multiple instance learning algorithm to analyze large whole slide images from bright challenge 2022
N Marini, M Wodzinski, M Atzori, H Müller
2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC), 1-4, 2022
Unsupervised method for intra-patient registration of brain magnetic resonance images based on objective function weighting by inverse consistency: Contribution to the brats …
M Wodzinski, A Jurgas, N Marini, M Atzori, H Müller
International MICCAI Brainlesion Workshop, 241-251, 2022
Caption generation from histopathology whole-slide images using pre-trained transformers
BC Guevara, N Marini, S Marchesin, W Aswolinskiy, RJ Schlimbach, ...
Medical Imaging with Deep Learning, short paper track, 2023
Modelling Digital Health Data: the ExaMode Ontology for Histopathology
D Dosso, M Atzori, S Boytcheva, F Ciompi, GM Di Nunzio, F Fraggetta, ...
Semantic Web Journal, 2022
Automated classification of celiac disease in histopathological images: a multi-scale approach
S Püttmann, LB Ferris, N Marini, W Aswolinsky, S Vatrano, F Fragetta, ...
Medical Imaging 2024: Computer-Aided Diagnosis 12927, 565-579, 2024
A full pipeline to analyze lung histopathology images
LB Ferrís, S Püttmann, N Marini, S Vatrano, F Fragetta, A Caputo, ...
Medical Imaging 2024: Digital and Computational Pathology 12933, 1293303, 2024
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