collaborators

6 papers

cond-mat.mes-hall2026

Thermal Hall tomography of chiral superconductivity in rhombohedral graphene

Kumar Ghosh

A chiral superconductor carries chiral Majorana modes along its edges, and a single integer, the Bogoliubov--de Gennes Chern number, counts them. Thirty years of candidate material…

cs.CV2026

Semantically Calibrated Evidence Composition for CT Vision-Language Learning

Guoliang You, Haifan Gong, Xiaomeng Chu

Learning transferable representations from CT-report pairs requires combining whole-volume context with anatomy-specific evidence. Existing methods typically emphasize either globa…

cs.CV2026

Learning How Much, Not Just What: Cross-Patient Burden Order for CT Vision-Language Pretraining

Guoliang You, Haifan Gong, Xiaomeng Chu

Volumetric CT vision-language pretraining learns 3D representations from scan-report pairs, but global and anatomy-aware objectives supervise only correspondence: they establish wh…

cs.CV2026

DreamReg: Belief-Driven World Model for 2D-3D Ultrasound Registration

Luoyao Kang, Yuelin Zhang, Jiwei Shan +3

Ultrasound (US) is widely used for surgical navigation, yet real-time registration between intraoperative 2D slices and preoperative 3D volumes remains challenging due to partial o…

cs.CV2024

Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models

Haifan Gong, Yitao Wang, Yihan Wang +3

The scarcity and complexity of voxel-level annotations in 3D medical imaging present significant challenges, particularly due to the domain gap between labeled datasets from well-r…

eess.IV2024

Intensity Confusion Matters: An Intensity-Distance Guided Loss for Bronchus Segmentation

Haifan Gong, Wenhao Huang, Huan Zhang +5

Automatic segmentation of the bronchial tree from CT imaging is important, as it provides structural information for disease diagnosis. Despite the merits of previous automatic bro…