activity
20182026
most citedAnalyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation

191 citations · 211 across the 15 of their papers we have counts for

collaborators
Showing 2026Show all

8 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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.…

cs.CV2026

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…

eess.IV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…