Niccolo Marini

Researcher, National Library of Medicine, National Institutes of Health

Joined

April 2025

Names

Niccolo Marini (Preferred)

Emails

****@nih.gov (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

National Library of Medicine, National Institutes of Health (nih.gov)

2024 – Present

Postdoc

Information System Institute, University of Applied Sciences Western Switzerland, Sierre (HES-SO Valais) (hevs.ch)

2023 – 2024

PhD student

Information System Institute, University of Applied Sciences Western Switzerland, Sierre (HES-SO Valais) (hevs.ch)

2019 – 2023

Advisors, Relations & Conflicts

Postdoc Advisor

Sameer Antani

2024 – Present

PhD Advisor

Henning Müller

2019 – 2024

Expertise

No areas of expertise listed

Publications

Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.
Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori
- BMC Medical Imaging 2021
- Readers: Everyone
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.
Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller
- CoRR 2022
- Readers: Everyone
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations.
Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin 0001, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller
- COMPAY@MICCAI 2021
- Readers: Everyone
Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks.
Sebastian Otálora, Niccolò Marini, Henning Müller, Manfredo Atzori
- iMIMIC/MIL3ID/LABELS@MICCAI 2020
- Readers: Everyone
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori
- Medical Image Anal. 2021
- Readers: Everyone
Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations.
Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori
- ICPR Workshops (1) 2020
- Readers: Everyone
Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images.
Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori
- Frontiers Comput. Sci. 2021
- Readers: Everyone
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.
Niccolò Marini, Stefano Marchesin 0001, 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
- npj Digit. Medicine 2022
- Readers: Everyone
On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans.
Selene Tomassini, Nicola Falcionelli, Giulia Bruschi, Agnese Sbrollini, Niccolò Marini, Paolo Sernani, Micaela Morettini, Henning Müller, Aldo Franco Dragoni, Laura Burattini
- Comput. Medical Imaging Graph. 2023
- Readers: Everyone
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning.
Niccolò Marini, Stefano Marchesin 0001, Marek Wodzinski, Alessandro Caputo, Damian Podareanu, Bryan Cardenas Guevara, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori
- Medical Image Anal. 2024
- Readers: Everyone

View all 27 publications

Co-Authors

Abhijeet Patil
Abhinav Sharma
Agnese Sbrollini
Aino Kuusela
Aldo Franco Dragoni
Alejandro Linares-Barranco
Alessandro Caputo
Alexander R. A. Anderson
Amit Sethi
Andrea Bagante
Anne-Vibeke Laenkholm
Artur Jurgas
Bruno De Santi
Bryan Cardenas Guevara
Chandler D. Gatenbee
Christian Marzahl
Circe Carr
Constance Boissin
Damian Podareanu
Daniel Budelmann
Davide Calvaresi
Dusan Rasic
Edyta Petters
Filippo Fraggetta
Francesco Ciompi

View all 87 co-authors