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University of Warwick
- Coventry, UK
- https://markin-wang.github.io/homepage/
Highlights
- Pro
Stars
Attribute Prototype-guided Iterative Scene Graph for Explainable Radiology Report Generation (submitted to TMI)
The code of paper "MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning" accepted by CVPR'24
The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Code release for Your “An Erudite Fine-Grained Visual Classification Model (CVPR 2023)"
This is the repository for the BioCLIP model and the TreeOfLife-10M dataset [CVPR'24 Oral, Best Student Paper].
MedViLL official code. (Published IEEE JBHI 2021)
[CVPR2024] PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
Multi-Aspect Vision Language Pretraining - CVPR2024
official implementation of "Med-Unic: unifying cross-lingual medical vision-language pre-training by diminishing bias"
[NeurIPS'22] Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
[IJBHI 2023] This is the official implementation of CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation accepted to IEEE Journal of Biomedical and Health Informa…
Official repository for the paper "Prototype Representation Joint Learning from Medical Images and Reports, ICCV 2023".
GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition
Improving Medical Vision-Language Contrastive Pretraining with Semantics-aware Triage
A Survey on CLIP in Medical Imaging
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[ICCV-2023] Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
[Arxiv-2024] CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation
The code of Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation
MICCAI 22 accepted paper “TranSQ: Transformer-based Semantic Query for Medical Report Generation“ for medical report generation
The official GitHub repository of the survey paper "A Systematic Review of Deep Learning-based Research on Radiology Report Generation".