Niccolò Marini

33 papers A* 1B 1Journal 20Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-task Cross-modal Learning for Chest X-ray Image Retrieval.
CoRR
Zhaohui Liang, Sivaramakrishnan Rajaraman, Niccolò Marini, Zhiyun Xue, Sameer K. Antani
2025 — conf
Detecting Oral Cancer Using Tabular Deep Learning.
COINS
Zhiyun Xue, Zhaohui Liang, Sivaramakrishnan Rajaraman, Niccolò Marini, Sameer K. Antani
2025 J jnl
Evaluating Strategies for Synthesizing Clinical Notes for Medical Multimodal AI.
CoRR
Niccolò Marini, Zhaohui Liang, Sivaramakrishnan Rajaraman, Zhiyun Xue, Sameer K. Antani
2025 A* conf
FRED: The Florence RGB-Event Drone Dataset.
ACM Multimedia
Gabriele Magrini, Niccolò Marini, Federico Becattini, Lorenzo Berlincioni, Niccolò Biondi, Pietro Pala, Alberto Del Bimbo
2025 J jnl
FRED: The Florence RGB-Event Drone Dataset.
CoRR
Gabriele Magrini, Niccolò Marini, Federico Becattini, Lorenzo Berlincioni, Niccolò Biondi, Pietro Pala, Alberto Del Bimbo
2025 — conf
Green AI: Which Programming Language Consumes the Most?
GREENS@ICSE
Niccolò Marini, Leonardo Pampaloni, Filippo Di Martino, Roberto Verdecchia, Enrico Vicario
2025 J jnl
Green AI: Which Programming Language Consumes the Most?
CoRR
Niccolò Marini, Leonardo Pampaloni, Filippo Di Martino, Roberto Verdecchia, Enrico Vicario
2025 — conf
Oral Cancer Detection by Using Tabular Data Synthesis and Classification.
ICDM (Workshops)
Zhiyun Xue, Sivaramakrishnan Rajaraman, Zhaohui Liang, Niccolò Marini, Sameer K. Antani
2025 B conf
The Hidden Threat of Hallucinations in Binary Chest X-Ray Pneumonia Classification.
CBMS
Sivaramakrishnan Rajaraman, Zhaohui Liang, Niccolò Marini, Zhiyun Xue, Sameer K. Antani
2024 J jnl
A systematic comparison of deep learning methods for Gleason grading and scoring.
Medical Image Anal.
Juan Pedro Dominguez-Morales, Lourdes Duran-Lopez, Niccolò Marini, Saturnino Vicente Diaz, Alejandro Linares-Barranco, Manfredo Atzori, Henning Müller
2024 J jnl
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning.
CoRR
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
2024 J jnl
DeeperHistReg: Robust Whole Slide Images Registration Framework.
CoRR
Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller
2024 J jnl
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning.
Medical Image Anal.
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
2024 J jnl
RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge.
CoRR
Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller
2024 J jnl
RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge.
Comput. Methods Programs Biomed.
Marek Wodzinski, Niccolò Marini, Manfredo Atzori, Henning Müller
2024 J jnl
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.
Medical Image Anal.
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
2023 — —
Deep learning methods to reduce the need for annotations for the extraction of knowledge from multimodal heterogeneous medical data.
Niccolò Marini
2023 — conf
Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification.
EXTRAAMAS
Victor Contreras, Andrea Bagante, Niccolò Marini, Michael Schumacher, Vincent Andrearczyk, Davide Calvaresi
2023 J jnl
On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans.
Comput. Medical Imaging Graph.
Selene Tomassini, Nicola Falcionelli, Giulia Bruschi, Agnese Sbrollini, Niccolò Marini, Paolo Sernani, Micaela Morettini, Henning Müller, Aldo Franco Dragoni, Laura Burattini
2023 J jnl
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue.
CoRR
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
2022 — conf
Attention-Based Interpretable Regression of Gene Expression in Histology.
iMIMIC@MICCAI
Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez
2022 J jnl
Attention-based Interpretable Regression of Gene Expression in Histology.
CoRR
Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez
2022 J jnl
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression.
CoRR
Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller
2022 J jnl
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.
npj Digit. Medicine
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
2022 — conf
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
Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller
2022 J jnl
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
Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller
2021 J jnl
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.
BMC Medical Imaging
Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori
2021 — conf
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression.
ICCVW
Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller
2021 — conf
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations.
COMPAY@MICCAI
Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller
2021 J jnl
Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images.
Frontiers Comput. Sci.
Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori
2021 J jnl
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.
Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori
2020 — conf
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)
Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori
2020 — conf
Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks.
iMIMIC/MIL3ID/LABELS@MICCAI
Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori