Hanxue Gu

According to our database, Hanxue Gu authored at least 35 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LegSegNet: A Public Deep Learning System for Lower Extremity CT Tissue Segmentation and Quantification.

Yuwen Chen, Yaqian Chen, Roy Colglazier, Haoyu Dong, Hanxue Gu, Maciej A. Mazurowski, Kevin W. Southerland

CoRR, May, 2026

Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2.

Yuwen Chen, Zafer Yildiz, Qihang Li, Yaqian Chen, Haoyu Dong, Hanxue Gu, Nicholas Konz, Maciej A. Mazurowski

IEEE Trans. Medical Imaging, April, 2026

Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets.

Nicholas Konz, Richard Osuala, Preeti Verma, Yuwen Chen, Hanxue Gu, Haoyu Dong, Yaqian Chen, Andrew Marshall, Lidia Garrucho, Kaisar Kushibar, Daniel Lang, Sungheon Gene Kim, Lars J. Grimm, John Lewin, James S. Duncan, Julia A. Schnabel, Oliver Díaz, Karim Lekadir, Maciej A. Mazurowski

Medical Image Anal., 2026

2025

Fully Automated Deep Learning Based Glenoid Bone Loss Measurement and Severity Stratification on 3D CT in Shoulder Instability.

Zhonghao Liu, Hanxue Gu, Qihang Li, Michael D. Fox, Jay M. Levin, Maciej A. Mazurowski, Brian C. Lau

CoRR, November, 2025

Transplant-Ready? Evaluating AI Lung Segmentation Models in Candidates with Severe Lung Disease.

Jisoo Lee, Michael R. Harowicz, Yuwen Chen, Hanxue Gu, Isaac S. Alderete, Lin Li, Maciej A. Mazurowski, Matthew G. Hartwig

CoRR, September, 2025

SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI.

Roy J. Colglazier, Jisoo Lee, Haoyu Dong, Hanxue Gu, Yaqian Chen, Joseph Y. Cao, Zafer Yildiz, Zhonghao Liu, Nicholas Konz, Jichen Yang, Jikai Zhang, Yuwen Chen, Lin Li, Adrian Camarena, Maciej A. Mazurowski

CoRR, June, 2025

MRI-CORE: A Foundation Model for Magnetic Resonance Imaging.

Haoyu Dong, Yuwen Chen, Hanxue Gu, Nicholas Konz, Yaqian Chen, Qihang Li, Maciej A. Mazurowski

CoRR, June, 2025

Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery.

Hanxue Gu, Yaqian Chen, Jisoo Lee, Diego Schaps, Regina Woody, Roy J. Colglazier, Maciej A. Mazurowski, Christopher Mantyh

CoRR, June, 2025

GuidedMorph: Two-Stage Deformable Registration for Breast MRI.

Yaqian Chen, Hanxue Gu, Haoyu Dong, Qihang Li, Yuwen Chen, Nicholas Konz, Lin Li, Maciej A. Mazurowski

CoRR, May, 2025

Breast density in MRI: an AI-based quantification and relationship to assessment in mammography.

Yaqian Chen, Lin Li, Hanxue Gu, Haoyu Dong, Derek L. Nguyen, Allan D. Kirk, Maciej A. Mazurowski, Eun-Sil Shelley Hwang

CoRR, April, 2025

Automated Muscle and Fat Segmentation in Computed Tomography for Comprehensive Body Composition Analysis.

Yaqian Chen, Hanxue Gu, Yuwen Chen, Jicheng Yang, Haoyu Dong, Joseph Y. Cao, Adrian Camarena, Christopher Mantyh, Roy J. Colglazier, Maciej A. Mazurowski

CoRR, February, 2025

SegmentAnyBone: A universal model that segments any bone at any location on MRI.

Hanxue Gu, Roy J. Colglazier, Haoyu Dong, Jikai Zhang, Yaqian Chen, Zafer Yildiz, Yuwen Chen, Lin Li, Jichen Yang, Jay Willhite, Alex M. Meyer, Brian Guo, Yashvi Atul Shah, Emily Luo, Shipra Rajput, Sally Kuehn, Clark Bulleit, Kevin A. Wu, Jisoo Lee, Brandon Ramirez, Darui Lu, Jay M. Levin, Maciej A. Mazurowski

Medical Image Anal., 2025

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.

Yixin Zhang, Shen Zhao, Hanxue Gu, Maciej A. Mazurowski

J. Imaging Inform. Medicine, 2025

BreastSegNet: Multi-label Segmentation of Breast MRI.

Qihang Li, Jichen Yang, Yaqian Chen, Yuwen Chen, Hanxue Gu, Lars J. Grimm, Maciej A. Mazurowski

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?

Hanxue Gu, Yaqian Chen, Nicholas Konz, Qihang Li, Maciej A. Mazurowski

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images.

Shuhang Chen, Hangjie Yuan, Pengwei Liu, Hanxue Gu, Tao Feng, Dong Ni

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

RaD: A Metric for Medical Image Distribution Comparison in Out-of-Domain Detection and Other Applications.

Nicholas Konz, Yuwen Chen, Hanxue Gu, Haoyu Dong, Yaqian Chen, Maciej A. Mazurowski

CoRR, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

CoRR, 2024

Segment anything model 2: an application to 2D and 3D medical images.

Haoyu Dong, Hanxue Gu, Yaqian Chen, Jichen Yang, Yuwen Chen, Maciej A. Mazurowski

CoRR, 2024

How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model.

Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski

CoRR, 2024

Rethinking Perceptual Metrics for Medical Image Translation.

Nicholas Konz, Yuwen Chen, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski

CoRR, 2024

Deep learning automates Cobb angle measurement compared with multi-expert observers.

Keyu Li, Hanxue Gu, Roy J. Colglazier, Robert Lark, Elizabeth Hubbard, Robert French, Denise Smith, Jikai Zhang, Erin McCrum, Anthony Catanzano, Joseph Y. Cao, Leah Waldman, Maciej A. Mazurowski, Benjamin Alman

CoRR, 2024

ContourDiff: Unpaired Image Translation with Contour-Guided Diffusion Models.

Yuwen Chen, Nicholas Konz, Hanxue Gu, Haoyu Dong, Yaqian Chen, Lin Li, Jisoo Lee, Maciej A. Mazurowski

CoRR, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation.

Hanxue Gu, Roy J. Colglazier, Jikai Zhang, Robert Lark, Benjamin Alman, Maciej A. Mazurowski

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.

Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski

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.

Haoyu Dong, Yifan Zhang, Hanxue Gu, Nicholas Konz, Yixin Zhang, Maciej A. Mazurowski

IEEE Trans. Medical Imaging, December, 2023

Segment anything model for medical image analysis: An experimental study.

Maciej A. Mazurowski, Haoyu Dong, Hanxue Gu, Jichen Yang, Nicholas Konz, Yixin Zhang

Medical Image Anal., October, 2023

FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image Reconstruction.

Bin Deng, Hanxue Gu, Hongmin Zhu, Ken Chang, Katharina Viktoria Hoebel, Jay B. Patel, Jayashree Kalpathy-Cramer, Stefan A. Carp

IEEE Trans. Medical Imaging, 2023

A systematic study of the foreground-background imbalance problem in deep learning for object detection.

Hanxue Gu, Haoyu Dong, Nicholas Konz, Maciej A. Mazurowski

CoRR, 2023

SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs.

Hanxue Gu, Hongyu He, Roy J. Colglazier, Jordan Axelrod, Robert French, Maciej A. Mazurowski

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Automated Grading of Radiographic Knee Osteoarthritis Severity Combined with Joint Space Narrowing.

Hanxue Gu, Keyu Li, Roy J. Colglazier, Jichen Yang, Michael Lebhar, Jonathan O'Donnell, William A. Jiranek, Richard C. Mather, Rob J. French, Nicholas Said, Jikai Zhang, Christine Park, Maciej A. Mazurowski

CoRR, 2022

Lightweight Transformer Backbone for Medical Object Detection.

Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski

Proceedings of the Cancer Prevention Through Early Detection, 2022

The Intrinsic Manifolds of Radiological Images and Their Role in Deep Learning.

Nicholas Konz, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski

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.

Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski

CoRR, 2021