[24'] M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models 2024.07.03 | Medical Multimodal Segmentation
[22' ECCV] BioViL: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing 2024.06.28 | Medical Contrastive Learning
[23'] BiomedCLIP: A Multimodal Biomedical Foundation Model Pretrained from Fifteen Million Scientific Image-text Pairs 2024.06.28 | Medical Contrastive Learning
[21'] PubMedCLIP: Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain? 2024.06.27 | Medical Contrastive Learning Dataset
[22' EMNLP] MedCLIP: Contrastive Learning from Unpaired Medical Images and Text 2024.06.27 | Medical Contrastive Learning
[Summary] List of Pre-trained CLIP Models for Medical Domain 2024.06.27 | Medical Contrastive Learning Summary
[21' ICCV] GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image Recognition 2024.06.27 | Medical Contrastive Learning Local Attention
[22' PMLR] ConVIRT: Contrastive Learning of Medical Visual Representations from Paired Images and Text 2024.06.27 | Medical Contrastive Learning
[23' PMLR] Med-Flamingo: a Multimodal Medical Few-shot Learner 2024.06.26 | Medical In-context Learning Multimodal
[23' NIPS] LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day 2024.06.26 | Medical Dataset Multimodal
[24' CVPR] Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation 2024.06.21 | Medical Prompt Tuning Segmentation Universal Segmentation
[23'] Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation 2024.05.06 | Medical Fine-tuning SAM Segmentation
[Summary] SAM(Segment Anything) Models in Medical Domain 2024.05.04 | Medical SAM Segmentation Summary