Yuetan Chu

Orcid: 0000-0003-1729-831X

According to our database1, Yuetan Chu authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
HorusEye: a self-supervised foundation model for generalizable X-ray tomography restoration.
Nat. Comput. Sci., April, 2026

Perturb-and-Restore: Simulation-driven Structural Augmentation Framework for Imbalance Chromosomal Anomaly Detection.
CoRR, April, 2026

MedTri: A Platform for Structured Medical Report Normalization to Enhance Vision-Language Pretraining.
CoRR, February, 2026

2025
Revisiting Data Scaling Law for Medical Segmentation.
CoRR, November, 2025

Improving Representation of High-Frequency Components for Medical Visual Foundation Models.
IEEE Trans. Medical Imaging, August, 2025

Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow.
CoRR, June, 2025

PE-Positive Digital Subtraction CTPA with Annotations.
Dataset, March, 2025

Point-annotation supervision for robust 3D pulmonary infection segmentation by CT-based cascading deep learning.
Comput. Biol. Medicine, 2025

A Causal-Holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI.
Comput. Biol. Medicine, February, 2024

Improving Representation of High-frequency Components for Medical Foundation Models.
CoRR, 2024

Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy.
CoRR, 2024

Anatomic-Constrained Medical Image Synthesis via Physiological Density Sampling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Topology-Preserving Computed Tomography Super-Resolution Based on Dual-Stream Diffusion Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors.
Nat. Mach. Intell., 2022


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