Hanxue Gu

According to our database, Hanxue Gu authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

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 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

Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation.

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

CoRR, 2024

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

CoRR, 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

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

CoRR, 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