Matias Cosarinsky

According to our database, Matias Cosarinsky authored at least 6 papers between 2025 and 2026.

Collaborative distances:

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

2026

Brain-IT-VQA: From Brain Signals to Answers.

Roman Beliy, Matias Cosarinsky, Oliver Heinimann, Navve Wasserman, Michal Irani

CoRR, May, 2026

From Activation to Causality: Discovery of Causal Visual Representations in the Human Brain.

Yuval Golbari, Navve Wasserman, Matias Cosarinsky, Roman Beliy, Aude Oliva, Antonio Torralba, Michal Irani, Tamar Rott Shaham

CoRR, May, 2026

2025

CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images.

Matias Cosarinsky, Nicolás Gaggion, Rodrigo Echeveste, Enzo Ferrante

CoRR, December, 2025

BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain.

Navve Wasserman, Matias Cosarinsky, Yuval Golbari, Aude Oliva, Antonio Torralba, Tamar Rott Shaham, Michal Irani

CoRR, December, 2025

Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg.

Jingchen Zou, Jianqiang Li, Gabriel Jimenez, Qing Zhao, Daniel Racoceanu, Matias Cosarinsky, Enzo Ferrante, Guanghui Fu

CoRR, April, 2025

In-Context Reverse Classification Accuracy: Efficient Estimation of Segmentation Quality without Ground-Truth.

Matias Cosarinsky, Ramiro Billot, Lucas Mansilla, Gabriel Gimenez, Nicolás Gaggion, Guanghui Fu, Enzo Ferrante

CoRR, March, 2025