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20212026
most citedA Survey of Natural Language Generation

151 citations · 165 across the 13 of their papers we have counts for

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7 papers · 1 filter

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★ 1 cited

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…

cs.CV2024★ 8 cited

nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model

Haifan Gong, Luoyao Kang, Yitao Wang +2

In the field of biomedical image analysis, the quest for architectures capable of effectively capturing long-range dependencies is paramount, especially when dealing with 3D image…

cs.CV2023

Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction

Luoyao Kang, Haifan Gong, Xiang Wan +1

Deep learning (DL) has been used in the automatic diagnosis of Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD) with brain imaging data. However, previous methods have…

cs.CV2022

Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis

Haifan Gong, Hui Cheng, Yifan Xie +4

Thyroid nodule classification aims at determining whether the nodule is benign or malignant based on a given ultrasound image. However, the label obtained by the cytological biopsy…