most citedZero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines

6 citations · 7 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 6 cited

Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines

Christian Mattjie, Luis Vinicius de Moura, Rafaela Cappelari Ravazio +4

Segmentation in medical imaging is a critical component for the diagnosis, monitoring, and treatment of various diseases and medical conditions. Presently, the medical segmentation…

cs.LG2023

Self-Supervised Adversarial Imitation Learning

Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi +1

Behavioural cloning is an imitation learning technique that teaches an agent how to behave via expert demonstrations. Recent approaches use self-supervision of fully-observable unl…

cs.AI2020

Augmented Behavioral Cloning from Observation

Juarez Monteiro, Nathan Gavenski, Roger Granada +2

Imitation from observation is a computational technique that teaches an agent on how to mimic the behavior of an expert by observing only the sequence of states from the expert dem…

cs.AI2020★ 1 cited

HAPRec: Hybrid Activity and Plan Recognizer

Roger Granada, Ramon Fraga Pereira, Juarez Monteiro +4

Computer-based assistants have recently attracted much interest due to its applicability to ambient assisted living. Such assistants have to detect and recognize the high-level act…

cs.CV2020

Component Analysis for Visual Question Answering Architectures

Camila Kolling, Jônatas Wehrmann, Rodrigo C. Barros

Recent research advances in Computer Vision and Natural Language Processing have introduced novel tasks that are paving the way for solving AI-complete problems. One of those tasks…