191 citations · 211 across the 15 of their papers we have counts for
16 papers
LiFUSE: Frequency-Spatial Unified Self-Supervised Pretraining for Liver Disease Analysis on Non-contrast CT
Hao Zhang, Yi Huang, Wei Liu +6
Given the growing global burden of liver tumors and diffuse liver diseases, non-contrast computed tomography (NCCT) is increasingly used for opportunistic screening because of its…
CARD: Calibration via Agreement in Reverse Diffusion for Out-of-Domain MRI Segmentation
Jiaheng Dai, Weidong Guo, Qingbiao Li +4
Probability calibration aligns model confidence with predictive accuracy, enabling clinicians to identify unreliable segmentation regions. This alignment breaks down under domain s…
CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness
Xinyu Jia, Weidong Guo, Wangyuan Zhao +3
Deep learning models for medical diagnosis frequently exhibit substantial performance disparities across sensitive subgroups (e.g., race, sex), even when average accuracy is high.…
Enhancing Brain MRI Anomaly Detection and Reasoning with ROI Rethink and Synthetic Data
Shangkun Li, Jie Xu, Yi Guo +2
Medical vision-language models typically generate diagnoses through single-pass inference without indicating which image regions support their conclusions. This lack of spatial gro…
Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model
Ziyang Huang, Bingyan Li, Chen Ma +6
Clinicians lack a principled framework to quantify diagnostic utility in ultrasound reconstructions. Existing standards like PSNR and VGG-LPIPS are inadequate, failing to account f…
DepthPilot: From Controllability to Interpretability in Colonoscopy Video Generation
Junhu Fu, Ke Chen, Weidong Guo +9
Controllable medical video generation has achieved remarkable progress, but it still lacks interpretability, which requires the alignment of generated contents with physical priors…
EchoAgent: Towards Reliable Echocardiography Interpretation with "Eyes","Hands" and "Minds"
Qin Wang, Zhiqing He, Yu Liu +8
Reliable interpretation of echocardiography (Echo) is crucial for assessing cardiac function, which demands clinicians to synchronously orchestrate multiple capabilities, including…
Fine-Grained Action Segmentation for Renorrhaphy in Robot-Assisted Partial Nephrectomy
Jiaheng Dai, Huanrong Liu, Tailai Zhou +7
Fine-grained action segmentation during renorrhaphy in robot-assisted partial nephrectomy requires frame-level recognition of visually similar suturing gestures with variable durat…
TinyUSFM: Towards Compact and Efficient Ultrasound Foundation Models
Chen Ma, Jing Jiao, Shuyu Liang +5
Foundation models for medical imaging demonstrate superior generalization capabilities across diverse anatomical structures and clinical applications. Their outstanding performance…
VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation
Peng Huang, Junhu Fu, Bowen Guo +3
As the appearance of medical images is influenced by multiple underlying factors, generative models require rich attribute information beyond labels to produce realistic and divers…
Robustness Stress Testing in Medical Image Classification
Mobarakol Islam, Zeju Li, Ben Glocker
Deep neural networks have shown impressive performance for image-based disease detection. Performance is commonly evaluated through clinical validation on independent test sets to…
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation
Zeju Li, Konstantinos Kamnitsas, Qi Dou +2
This paper presents an effective and general data augmentation framework for medical image segmentation. We adopt a computationally efficient and data-efficient gradient-based meta…
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation
Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Class imbalance poses a challenge for developing unbiased, accurate predictive models. In particular, in image segmentation neural networks may overfit to the foreground samples fr…
Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition
Zeju Li, Han Li, Hu Han +3
Although chest X-ray (CXR) offers a 2D projection with overlapped anatomies, it is widely used for clinical diagnosis. There is clinical evidence supporting that decomposing an X-r…
Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation
Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Overfitting in deep learning has been the focus of a number of recent works, yet its exact impact on the behavior of neural networks is not well understood. This study analyzes ove…
Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion
Wenjun Yan, Yuanyuan Wang, Zeju Li +2
Quantitative assessment of left ventricle (LV) function from cine MRI has significant diagnostic and prognostic value for cardiovascular disease patients. The temporal movement of…