1 citations · 3 across the 27 of their papers we have counts for
30 papers
Towards Scalable Context-Aware Single-Cell Spatial Transcriptomics Prediction from Histology Images
Zijun Gao, Chunbin Gu, Jinxi Xiang +2
Predicting gene expression from H&E-stained histology images offers a scalable alternative to costly spatial transcriptomics, yet most existing methods operate at the spot level, w…
Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images
Juzheng Miao, Yuchen Yuan, Cheng Chen +1
Vision-Language Models such as CLIP enable effective few-shot medical anomaly detection (AD) via strong image-text semantic alignment. However, their globally contrastive pretraini…
Optimize Surgical Triplet Recognition: A Knowledge-Driven Mixture-of-Experts Solution
Yiyi Zhang, Yuchen Yuan, Ying Zheng +4
Surgical action triplet recognition constitutes a critical task in context-aware robot-assisted surgery, facilitating automatic surgical action perception by identifying instrument…
Large-Small Model Collaboration for Zero-Shot Surgical Phase Recognition
Yiyi Zhang, Ying Zheng, Wenxin Fan +5
Task-specific lightweight models for surgical phase recognition excel at capturing temporal dynamics but generalize poorly under domain shift. Conversely, surgical foundation model…
Attenuation-Resilient Alternating Optimization for Laparoscopic Liver Landmark Detection
Lanqing Liu, Ruize Cui, Jialun Pei +4
Liver surface landmark detection is a fundamental prerequisite for anatomical guidance in laparoscopic liver surgery. However, it remains unreliable in practice due to two pervasiv…
HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images
Yichen Liu, Donghao Zhou, Jie Wang +9
Human-product images, which showcase the integration of humans and products, play a vital role in advertising, e-commerce, and digital marketing. The essential challenge of generat…
Adapting 2D Multi-Modal Large Language Model for 3D CT Image Analysis
Yang Yu, Dunyuan Xu, Yaoqian Li +3
3D medical image analysis is of great importance in disease diagnosis and treatment. Recently, multimodal large language models (MLLMs) have exhibited robust perceptual capacity, s…
Bi-TEAM: A Unified Cross-Scale Representation Learning Framework for Chemically Modified Biomolecules
Chunbin Gu, Zijun Gao, Mutian He +8
Representation learning for protein biochemical space faces a difficult trade-off: protein language models excel at capturing long-range biological semantics but often miss fine-gr…
Preoperative-to-intraoperative Liver Registration for Laparoscopic Surgery via Latent-Grounded Correspondence Constraints
Ruize Cui, Jialun Pei, Haiqiao Wang +4
In laparoscopic liver surgery, augmented reality technology enhances intraoperative anatomical guidance by overlaying 3D liver models from preoperative CT/MRI onto laparoscopic 2D…
Perceive and Calibrate: Analyzing and Enhancing Robustness of Medical Multi-Modal Large Language Models
Dunyuan XU, Xikai Yang, Yaoqian Li +3
Medical Multi-modal Large Language Models (MLLMs) have shown promising clinical performance. However, their sensitivity to real-world input perturbations, such as imaging artifacts…
MEJO: MLLM-Engaged Surgical Triplet Recognition via Inter- and Intra-Task Joint Optimization
Yiyi Zhang, Yuchen Yuan, Ying Zheng +4
Surgical triplet recognition, which involves identifying instrument, verb, target, and their combinations, is a complex surgical scene understanding challenge plagued by long-taile…
From Learning to Unlearning: Biomedical Security Protection in Multimodal Large Language Models
Dunyuan Xu, Xikai Yang, Yaoqian Li +2
The security of biomedical Multimodal Large Language Models (MLLMs) has attracted increasing attention. However, training samples easily contain private information and incorrect k…
ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data
Chengkun Li, Yuqi Tong, Kai Chen +6
The visualization of volumetric medical data is crucial for enhancing diagnostic accuracy and improving surgical planning and education. Cinematic rendering techniques significantl…
Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection
Ruize Cui, Jiaan Zhang, Jialun Pei +3
Liver landmarks provide crucial anatomical guidance to the surgeon during laparoscopic liver surgery to minimize surgical risk. However, the tubular structural properties of landma…
Medical Large Vision Language Models with Multi-Image Visual Ability
Xikai Yang, Juzheng Miao, Yuchen Yuan +4
Medical large vision-language models (LVLMs) have demonstrated promising performance across various single-image question answering (QA) benchmarks, yet their capability in process…
Benchmarking Endoscopic Surgical Image Restoration and Beyond
Jialun Pei, Diandian Guo, Donghui Yang +5
In endoscopic surgery, a clear and high-quality visual field is critical for surgeons to make accurate intraoperative decisions. However, persistent visual degradation, including s…
Landmark-Free Preoperative-to-Intraoperative Registration in Laparoscopic Liver Resection
Jun Zhou, Bingchen Gao, Kai Wang +3
Liver registration by overlaying preoperative 3D models onto intraoperative 2D frames can assist surgeons in perceiving the spatial anatomy of the liver clearly for a higher surgic…
Synergistic Bleeding Region and Point Detection in Laparoscopic Surgical Videos
Jialun Pei, Zhangjun Zhou, Diandian Guo +4
Intraoperative bleeding in laparoscopic surgery causes rapid obscuration of the operative field to hinder the surgical process and increases the risk of postoperative complications…
SCJD: Sparse Correlation and Joint Distillation for Efficient 3D Human Pose Estimation
Weihong Chen, Xuemiao Xu, Haoxin Yang +5
Existing 3D Human Pose Estimation (HPE) methods achieve high accuracy but suffer from computational overhead and slow inference, while knowledge distillation methods fail to addres…
G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors
Haoxin Yang, Xuemiao Xu, Cheng Xu +5
Reversible face anonymization, unlike traditional face pixelization, seeks to replace sensitive identity information in facial images with synthesized alternatives, preserving priv…
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resections with Pringle Maneuver
Diandian Guo, Weixin Si, Zhixi Li +2
Pringle maneuver (PM) in laparoscopic liver resection aims to reduce blood loss and provide a clear surgical view by intermittently blocking blood inflow of the liver, whereas prol…
Weakly-supervised Medical Image Segmentation with Gaze Annotations
Yuan Zhong, Chenhui Tang, Yumeng Yang +6
Eye gaze that reveals human observational patterns has increasingly been incorporated into solutions for vision tasks. Despite recent explorations on leveraging gaze to aid deep ne…
A Narrative Review of Image Processing Techniques Related to Prostate Ultrasound
Haiqiao Wang, Hong Wu, Zhuoyuan Wang +4
Prostate cancer (PCa) poses a significant threat to men's health, with early diagnosis being crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (T…
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting
Wei Li, Jingyang Zhang, Pheng-Ann Heng +1
Generalist segmentation models are increasingly favored for diverse tasks involving various objects from different image sources. Task-Incremental Learning (TIL) offers a privacy-p…