Heqin Zhu

According to our database, Heqin Zhu authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

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