23 citations · 76 across the 16 of their papers we have counts for
10 papers · 1 filter
Unsupervised Domain Adaptation for Anatomical Landmark Detection
Haibo Jin, Haoxuan Che, Hao Chen
Recently, anatomical landmark detection has achieved great progresses on single-domain data, which usually assumes training and test sets are from the same domain. However, such an…
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
Haibo Jin, Haoxuan Che, Yi Lin +1
Automatic medical report generation (MRG) is of great research value as it has the potential to relieve radiologists from the heavy burden of report writing. Despite recent advance…
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains
Haoxuan Che, Yuhan Cheng, Haibo Jin +1
Diabetic Retinopathy (DR) is a common complication of diabetes and a leading cause of blindness worldwide. Early and accurate grading of its severity is crucial for disease managem…
Mobile User Interface Element Detection Via Adaptively Prompt Tuning
Zhangxuan Gu, Zhuoer Xu, Haoxing Chen +3
Recent object detection approaches rely on pretrained vision-language models for image-text alignment. However, they fail to detect the Mobile User Interface (MUI) element since it…
Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation
Yuyan Ruan, Dawei Yang, Ziqi Tang +3
Optical coherence tomography angiography (OCTA) is a new imaging modality to visualize retinal microvasculature and has been readily adopted in clinics. High-resolution OCT angiogr…
DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
Sicen Liu, Xiaolong Wang, Xianbing Zhao +1
Medication recommendation is a fundamental yet crucial branch of healthcare that presents opportunities to assist physicians in making more accurate medication prescriptions for pa…
DiffUTE: Universal Text Editing Diffusion Model
Haoxing Chen, Zhuoer Xu, Zhangxuan Gu +6
Diffusion model based language-guided image editing has achieved great success recently. However, existing state-of-the-art diffusion models struggle with rendering correct text an…
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Haoxuan Che, Siyu Chen, Hao Chen
Medical images usually suffer from image degradation in clinical practice, leading to decreased performance of deep learning-based models. To resolve this problem, most previous wo…
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
Bo Qian, Hao Chen, Xiangning Wang +18
Computer-assisted automatic analysis of diabetic retinopathy (DR) is of great importance in reducing the risks of vision loss and even blindness. Ultra-wide optical coherence tomog…
Exploring Vision-Language Models for Imbalanced Learning
Yidong Wang, Zhuohao Yu, Jindong Wang +6
Vision-Language models (VLMs) that use contrastive language-image pre-training have shown promising zero-shot classification performance. However, their performance on imbalanced d…