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Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification
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Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
29 June 2025
Xing Shen
Justin Szeto
Mingyang Li
Hengguan Huang
Tal Arbel
ArXiv (abs)PDFHTML

Papers citing "Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification"

1 / 1 papers shown
Beyond Ethics: How Inclusive Innovation Drives Economic Returns in Medical AI
Beyond Ethics: How Inclusive Innovation Drives Economic Returns in Medical AI
Balagopal Unnikrishnan
Ariel Guerra Adames
A. Adibi
Sameer Peesapati
Rafal Kocielnik
...
Alina Peluso
Chrystinne Oliveira Fernandes
Maximin Lange
Lovedeep Gondara
Leo Anthony Celi
93
0
0
11 Oct 2025
1
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