#medical imaging
31 papers · 1 filter
MIND: Multimodal Intent-Driven Network via Diffusion Transformers for Medical Image Fusion
Yunzhan Fu, Xiangyu Shen, Yifei Sun +3
The paper introduces MIND, a network that uses diffusion transformers guided by intent-driven text generated from BioMedGPT to fuse medical images while preserving pathology-aware…
Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging
Yiheng Xiong, Luisa Gallée, Luisa Gallée +4
The paper introduces a label‑free criterion that automatically selects the best unsupervised domain adaptation algorithm and its hyperparameters for medical imaging by comparing ca…
Benchmarking Foundation and Large Language Models for Few-Shot Medical Image Segmentation
Jinghong Liu, Yuchuan Deng, Fanping Liu +2
The paper presents FAME, a unified benchmark for evaluating few-shot medical image segmentation methods across multiple anatomical sites, imaging modalities, and settings, and anal…
MedXplore: Towards Reliable and Unbiased Generalized Category Discovery in Medical Imaging
Jianwei He, Kailin Lyu, Junhao Dong +6
The paper presents MedXplore, a unified framework for generalized category discovery in medical imaging that leverages frequency-domain adaptive attention and an adaptive cosine-an…
Rethinking Artificial Intelligence in Medical Imaging: Assumptions, Reality, and Reframing
Arman Rahmim, Nourhan Bayasi, Xiaoxiao Li +2
The paper argues that the limited clinical impact of AI in medical imaging stems from a misalignment between how AI systems are built and evaluated and how clinicians make decision…
Shared Semantic Codebook Distillation for Unpaired Cross-Modal Medical Classification
Dillan Imans, Phuoc-Nguyen Bui, Duc-Tai Le +1
The paper introduces Shared Semantic Codebook Distillation, a method that transfers diagnostic knowledge between unpaired medical imaging modalities by representing images with a c…