activity
20182026
most citedMulti-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images

89 citations · 109 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

KANResDiff: Learning Local Residual Diffusion via Kolmogorov-Arnold Network for Ambiguous Medical Image Segmentation

Fanding Li, Chenglin Wang, Xiangyu Li +9

Ambiguous medical image segmentation aims to provide a series of diverse but plausible segmentation hypotheses. However, existing methods introduce stochasticity in a fixed and pre…

cs.CV2025

Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation

Fanding Li, Xiangyu Li, Xianghe Su +6

A simultaneous enhancement of accuracy and diversity of predictions remains a challenge in ambiguous medical image segmentation (AMIS) due to the inherent trade-offs. While truncat…

eess.IV2025

Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction

Dong Liang, Xingyu Qiu, Yuzhen Li +4

MR imaging techniques are of great benefit to disease diagnosis. However, due to the limitation of MR devices, significant intensity inhomogeneity often exists in imaging results,…

eess.IV2025★ 2 cited

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge

Gongning Luo, Mingwang Xu, Hongyu Chen +34

Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of deaths. Automated 3D Breast Ultrasound (ABUS) is a ne…

cs.CV2025

MedFILIP: Medical Fine-grained Language-Image Pre-training

Xinjie Liang, Xiangyu Li, Fanding Li +7

Medical vision-language pretraining (VLP) that leverages naturally-paired medical image-report data is crucial for medical image analysis. However, existing methods struggle to acc…

eess.IV2023★ 11 cited

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge

Gongning Luo, Kuanquan Wang, Jun Liu +27

Efficient automatic segmentation of multi-level (i.e. main and branch) pulmonary arteries (PA) in CTPA images plays a significant role in clinical applications. However, most exist…

cs.CV2018★ 7 cited

VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination

Suyu Dong, Gongning Luo, Kuanquan Wang +5

3D left ventricle (LV) segmentation on echocardiography is very important for diagnosis and treatment of cardiac disease. It is not only because of that echocardiography is a real-…

cs.CV2018★ 89 cited

Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images

Gongning Luo, Suyu Dong, Kuanquan Wang +3

Left ventricular (LV) volumes estimation is a critical procedure for cardiac disease diagnosis. The objective of this paper is to address direct LV volumes prediction task. Methods…