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Niccolò Marini
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2020 – today
- 2024
- [j9]Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller:
RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge. Comput. Methods Programs Biomed. 250: 108187 (2024) - [j8]Juan Pedro Dominguez-Morales, Lourdes Duran-Lopez, Niccolò Marini, Saturnino Vicente Diaz, Alejandro Linares-Barranco, Manfredo Atzori, Henning Müller:
A systematic comparison of deep learning methods for Gleason grading and scoring. Medical Image Anal. 95: 103191 (2024) - [j7]Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen:
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 97: 103257 (2024) - [j6]Niccolò Marini, Stefano Marchesin, Marek Wodzinski, Alessandro Caputo, Damian Podareanu, Bryan Cardenas Guevara, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori:
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning. Medical Image Anal. 97: 103303 (2024) - [i7]Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller:
RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge. CoRR abs/2404.13108 (2024) - [i6]Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller:
DeeperHistReg: Robust Whole Slide Images Registration Framework. CoRR abs/2404.14434 (2024) - [i5]Niccolò Marini, Stefano Marchesin, Lluis Borras Ferris, Simon Püttmann, Marek Wodzinski, Riccardo Fratti, Damian Podareanu, Alessandro Caputo, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal, Gianmaria Silvello, Manfredo Atzori, Henning Müller:
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning. CoRR abs/2406.14351 (2024) - 2023
- [b1]Niccolò Marini:
Deep learning methods to reduce the need for annotations for the extraction of knowledge from multimodal heterogeneous medical data. University of Geneva, Switzerland, 2023 - [j5]Selene Tomassini, Nicola Falcionelli, Giulia Bruschi, Agnese Sbrollini, Niccolò Marini, Paolo Sernani, Micaela Morettini, Henning Müller, Aldo Franco Dragoni, Laura Burattini:
On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans. Comput. Medical Imaging Graph. 110: 102310 (2023) - [c7]Victor Contreras, Andrea Bagante, Niccolò Marini, Michael Schumacher, Vincent Andrearczyk, Davide Calvaresi:
Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification. EXTRAAMAS 2023: 187-211 - [i4]Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen:
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR abs/2305.18033 (2023) - 2022
- [j4]Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori:
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine 5 (2022) - [c6]Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller:
Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images Based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge. BrainLes@MICCAI 2022: 241-251 - [c5]Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez:
Attention-Based Interpretable Regression of Gene Expression in Histology. iMIMIC@MICCAI 2022: 44-60 - [i3]Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller:
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. CoRR abs/2201.06329 (2022) - [i2]Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez:
Attention-based Interpretable Regression of Gene Expression in Histology. CoRR abs/2208.13776 (2022) - [i1]Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller:
Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge. CoRR abs/2211.07386 (2022) - 2021
- [j3]Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori:
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification. BMC Medical Imaging 21(1): 77 (2021) - [j2]Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori:
Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images. Frontiers Comput. Sci. 3: 684521 (2021) - [j1]Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori:
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification. Medical Image Anal. 73: 102165 (2021) - [c4]Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller:
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations. COMPAY@MICCAI 2021: 170-181 - [c3]Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller:
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression. ICCVW 2021: 601-610 - 2020
- [c2]Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori:
Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations. ICPR Workshops (1) 2020: 105-119 - [c1]Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori:
Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 193-203
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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