Heqin Zhu

According to our database, Heqin Zhu authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

IGU-Aug: Information-Guided Unsupervised Augmentation and Pixel-Wise Contrastive Learning for Medical Image Analysis.

Quan Quan, Qingsong Yao, Heqin Zhu, S. Kevin Zhou

IEEE Trans. Medical Imaging, January, 2025

2024

PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement.

Zhen Huang, Han Li, Shitong Shao, Heqin Zhu, Huijie Hu, Zhiwei Cheng, Jianji Wang, S. Kevin Zhou

Int. J. Comput. Assist. Radiol. Surg., May, 2024

Which images to label for few-shot medical image analysis?

Quan Quan, Qingsong Yao, Heqin Zhu, Qiyuan Wang, S. Kevin Zhou

Medical Image Anal., 2024

HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection.

Xiaoqian Zhou, Zhen Huang, Heqin Zhu, Qingsong Yao, S. Kevin Zhou

CoRR, 2024

SIX-Net: Spatial-Context Information miX-up for Electrode Landmark Detection.

Xinyi Wang, Zikang Xu, Heqin Zhu, Qingsong Yao, Yiyong Sun, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training.

Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Slide-SAM: Medical SAM Meets Sliding Window.

Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou

CoRR, 2023

Unsupervised augmentation optimization for few-shot medical image segmentation.

Quan Quan, Shang Zhao, Qingsong Yao, Heqin Zhu, S. Kevin Zhou

CoRR, 2023

UOD: Universal One-Shot Detection of Anatomical Landmarks.

Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

DATR: Domain-adaptive transformer for multi-domain landmark detection.

Heqin Zhu, Qingsong Yao, S. Kevin Zhou

CoRR, 2022

DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection.

Heqin Zhu, Xu Sun, Yuexiang Li, Kai Ma, S. Kevin Zhou, Yefeng Zheng

CoRR, 2022

Relative distance matters for one-shot landmark detection.

Qingsong Yao, Jianji Wang, Yihua Sun, Quan Quan, Heqin Zhu, S. Kevin Zhou

CoRR, 2022

2021

Deep learning to segment pelvic bones: large-scale CT datasets and baseline models.

Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou

Int. J. Comput. Assist. Radiol. Surg., 2021

You only Learn Once: Universal Anatomical Landmark Detection.

Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A³DSegNet: Anatomy-Aware Artifact Disentanglement and Segmentation Network for Unpaired Segmentation, Artifact Reduction, and Modality Translation.

Yuanyuan Lyu, Haofu Liao, Heqin Zhu, S. Kevin Zhou

Proceedings of the Information Processing in Medical Imaging, 2021

2020

Joint Unsupervised Learning for the Vertebra Segmentation, Artifact Reduction and Modality Translation of CBCT Images.

Yuanyuan Lyu, Haofu Liao, Heqin Zhu, Shaohua Kevin Zhou

CoRR, 2020