Marco Gatti

According to our database, Marco Gatti authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The FIX Benchmark: Extracting Features Interpretable to eXperts.

Helen Jin, Shreya Havaldar, Chaehyeon Kim, Anton Xue, Weiqiu You, Helen Qu, Marco Gatti, Daniel A. Hashimoto, Bhuvnesh Jain, Amin Madani, Masao Sako, Lyle H. Ungar, Eric Wong

CoRR, 2024

2023

Sum-of-Parts Models: Faithful Attributions for Groups of Features.

Weiqiu You, Helen Qu, Marco Gatti, Bhuvnesh Jain, Eric Wong

CoRR, 2023

2022

Role of Cardiovascular Magnetic Resonance in the Management of Atrial Fibrillation: A Review.

Davide Tore, Riccardo Faletti, Andrea Biondo, Andrea Carisio, Fabio Giorgino, Ilenia Landolfi, Katia Rocco, Sara Salto, Ambra Santonocito, Federica Ullo, Matteo Anselmino, Paolo Fonio, Marco Gatti

J. Imaging, 2022

Multimodality Imaging in Ischemic Chronic Cardiomyopathy.

Giuseppe Muscogiuri, Marco Guglielmo, Alessandra Serra, Marco Gatti, Valentina Volpato, Uwe Joseph Schoepf, Luca Saba, Riccardo Cau, Riccardo Faletti, Liam J. McGill, Carlo Nicola De Cecco, Gianluca Pontone, Serena Dell'Aversana, Sandro Sironi

J. Imaging, 2022

On Spiking Neural Membrane Systems with Neuron and Synapse Creation.

Marco Gatti, Alberto Leporati, Claudio Zandron

Int. J. Neural Syst., 2022

Robust field-level inference with dark matter halos.

Helen Shao, Francisco Villaescusa-Navarro, Pablo Villanueva-Domingo, Romain Teyssier, Lehman H. Garrison, Marco Gatti, Derek Inman, Yueying Ni, Ulrich P. Steinwandel, Mihir Kulkarni, Eli Visbal, Greg L. Bryan, Daniel Angles-Alcazar, Tiago Castro, Elena Hernandez-Martinez, Klaus Dolag

CoRR, 2022

A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study.

Jovana Panic, Arianna Defeudis, Simone Mazzetti, Samanta Rosati, Giuliana Giannetto, Monica Micilotta, Lorenzo Vassallo, Marco Gatti, Daniele Regge, Gabriella Balestra, Valentina Giannini

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?

Giulia Nicoletti, Davide Barra, Arianna Defeudis, Simone Mazzetti, Marco Gatti, Riccardo Faletti, Filippo Russo, Daniele Regge, Valentina Giannini

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil.

Davide Barra, Giulia Nicoletti, Arianna Defeudis, Simone Mazzetti, Jovana Panic, Marco Gatti, Riccardo Faletti, Filippo Russo, Daniele Regge, Valentina Giannini

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021