activity
20242026
most citedMambaControl: Anatomy Graph-Enhanced Mamba ControlNet with Fourier Refinement for Diffusion-Based Disease Trajectory Prediction

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Reliability-Aware Checkpoint Selection for Domain Generalization

Jinshi Liu, Jiahao Li, Pan Liu +5

Checkpoint selection in domain generalization often relies on source-validation accuracy, yet the selected checkpoint need not provide reliable probabilities on unseen target domai…

cs.AI2026

From Static Risk to Dynamic Trajectories: Toward World-Model-Inspired Clinical Prediction

Pujun Feng, Xiaoyu Guo, Seyed Ehsan Saffari +10

Clinical decision-making is a feedback system where risk estimates influence treatment, which in turn changes disease trajectories, and both shape clinicians' measurement practices…

cs.CV2026

HiFi-Mesh: High-Fidelity Efficient 3D Mesh Generation via Compact Autoregressive Dependence

Yanfeng Li, Tao Tan, Qingquan Gao +3

High-fidelity 3D meshes can be tokenized into one-dimension (1D) sequences and directly modeled using autoregressive approaches for faces and vertices. However, existing methods su…

cs.CV2025

Conditional Diffusion Model with Anatomical-Dose Dual Constraints for End-to-End Multi-Tumor Dose Prediction

Hui Xie, Haiqin Hu, Lijuan Ding +3

Radiotherapy treatment planning often relies on time-consuming, trial-and-error adjustments that heavily depend on the expertise of specialists, while existing deep learning method…

eess.IV2025

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey

Hao Yang, Xinlong Liang, Zhang Li +12

Deep learning offers transformative potential in medical imaging, yet its clinical adoption is frequently hampered by challenges such as data scarcity, distribution shifts, and the…

cs.CV2025★ 1 cited

MambaControl: Anatomy Graph-Enhanced Mamba ControlNet with Fourier Refinement for Diffusion-Based Disease Trajectory Prediction

Hao Yang, Tao Tan, Shuai Tan +4

Modelling disease progression in precision medicine requires capturing complex spatio-temporal dynamics while preserving anatomical integrity. Existing methods often struggle with…

cs.CV2024

UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation

Zehui Lin, Zhuoneng Zhang, Xindi Hu +5

Ultrasound is widely used in clinical practice due to its affordability, portability, and safety. However, current AI research often overlooks combined disease prediction and tissu…