Hanxue Gu
Orcid: 0000-0003-2622-753X
According to our database1,
Hanxue Gu
authored at least 30 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
CoRR, July, 2025
SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI.
CoRR, June, 2025
Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery.
CoRR, June, 2025
CoRR, May, 2025
Breast density in MRI: an AI-based quantification and relationship to assessment in mammography.
CoRR, April, 2025
Automated Muscle and Fat Segmentation in Computed Tomography for Comprehensive Body Composition Analysis.
CoRR, February, 2025
Medical Image Anal., 2025
2024
RaD: A Metric for Medical Image Distribution Comparison in Out-of-Domain Detection and Other Applications.
CoRR, 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
CoRR, 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images.
IEEE Trans. Medical Imaging, December, 2023
Medical Image Anal., October, 2023
IEEE Trans. Medical Imaging, 2023
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model.
CoRR, 2023
A systematic study of the foreground-background imbalance problem in deep learning for object detection.
CoRR, 2023
SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs.
Proceedings of the Medical Imaging with Deep Learning, 2023
2022
Automated Grading of Radiographic Knee Osteoarthritis Severity Combined with Joint Space Narrowing.
CoRR, 2022
Proceedings of the Cancer Prevention Through Early Detection, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection.
CoRR, 2021