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most citedMedChat: A Multi-Agent Framework for Multimodal Diagnosis with Large Language Models

3 citations · 5 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Weight Group-wise Post-Training Quantization for Medical Foundation Model

Yineng Chen, Peng Huang, Aozhong Zhang +9

Foundation models have achieved remarkable results in medical image analysis. However, its large network architecture and high computational complexity significantly impact inferen…

cs.CV2026

Robust Fair Disease Diagnosis in CT Images

Justin Li, Daniel Ding, Asmita Yuki Pritha +3

Automated diagnosis from chest CT has improved considerably with deep learning, but models trained on skewed datasets tend to perform unevenly across patient demographics. However,…

cs.CV20251 cited

Robust AI-Generated Face Detection with Imbalanced Data

Yamini Sri Krubha, Aryana Hou, Braden Vester +4

Deepfakes, created using advanced AI techniques such as Variational Autoencoder and Generative Adversarial Networks, have evolved from research and entertainment applications into…

cs.CV2024

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark

Li Lin, Santosh, Mingyang Wu +2

AI-generated faces have enriched human life, such as entertainment, education, and art. However, they also pose misuse risks. Therefore, detecting AI-generated faces becomes crucia…

cs.CV2024

Fast Diffeomorphic Image Registration using Patch based Fully Convolutional Networks

Jiong Wu, Shuang Zhou, Li Lin +2

Diffeomorphic image registration is a fundamental step in medical image analysis, owing to its capability to ensure the invertibility of transformations and preservation of topolog…

cs.CV2024

Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images

Santosh, Li Lin, Irene Amerini +2

Diffusion models (DMs) have revolutionized image generation, producing high-quality images with applications spanning various fields. However, their ability to create hyper-realist…