Heqin Zhu

22 papers Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
IGU-Aug: Information-Guided Unsupervised Augmentation and Pixel-Wise Contrastive Learning for Medical Image Analysis.
IEEE Trans. Medical Imaging
Quan Quan, Qingsong Yao, Heqin Zhu, S. Kevin Zhou
2025 J jnl
U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking.
CoRR
Fenghe Tang, Chengqi Dong, Wenxin Ma, Zikang Xu, Heqin Zhu, Zihang Jiang, Rongsheng Wang, Yuhao Wang, Chenxu Wu, Shaohua Kevin Zhou
2024 J jnl
HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection.
CoRR
Xiaoqian Zhou, Zhen Huang, Heqin Zhu, Qingsong Yao, S. Kevin Zhou
2024 J jnl
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training.
CoRR
Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou
2024 — conf
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training.
MICCAI (11)
Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou
2024 J jnl
PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement.
Int. J. Comput. Assist. Radiol. Surg.
Zhen Huang, Han Li, Shitong Shao, Heqin Zhu, Huijie Hu, Zhiwei Cheng, Jianji Wang, S. Kevin Zhou
2024 — conf
SIX-Net: Spatial-Context Information miX-up for Electrode Landmark Detection.
MICCAI (1)
Xinyi Wang, Zikang Xu, Heqin Zhu, Qingsong Yao, Yiyong Sun, S. Kevin Zhou
2024 — conf
Slide-SAM: Medical SAM Meets Sliding Window.
MIDL
Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou
2024 J jnl
Which images to label for few-shot medical image analysis?
Medical Image Anal.
Quan Quan, Qingsong Yao, Heqin Zhu, Qiyuan Wang, S. Kevin Zhou
2023 J jnl
Slide-SAM: Medical SAM Meets Sliding Window.
CoRR
Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou
2023 — conf
UOD: Universal One-Shot Detection of Anatomical Landmarks.
MICCAI (1)
Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, S. Kevin Zhou
2023 J jnl
UOD: Universal One-shot Detection of Anatomical Landmarks.
CoRR
Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, Shaohua Kevin Zhou
2023 J jnl
Unsupervised augmentation optimization for few-shot medical image segmentation.
CoRR
Quan Quan, Shang Zhao, Qingsong Yao, Heqin Zhu, S. Kevin Zhou
2022 J jnl
DATR: Domain-adaptive transformer for multi-domain landmark detection.
CoRR
Heqin Zhu, Qingsong Yao, S. Kevin Zhou
2022 J jnl
DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection.
CoRR
Heqin Zhu, Xu Sun, Yuexiang Li, Kai Ma, S. Kevin Zhou, Yefeng Zheng
2022 J jnl
Relative distance matters for one-shot landmark detection.
CoRR
Qingsong Yao, Jianji Wang, Yihua Sun, Quan Quan, Heqin Zhu, S. Kevin Zhou
2021 — conf
A
IPMI
Yuanyuan Lyu, Haofu Liao, Heqin Zhu, S. Kevin Zhou
2021 J jnl
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models.
Int. J. Comput. Assist. Radiol. Surg.
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
2021 J jnl
You Only Learn Once: Universal Anatomical Landmark Detection.
CoRR
Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou
2021 — conf
You only Learn Once: Universal Anatomical Landmark Detection.
MICCAI (5)
Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou
2020 J jnl
Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models.
CoRR
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
2020 J jnl
Joint Unsupervised Learning for the Vertebra Segmentation, Artifact Reduction and Modality Translation of CBCT Images.
CoRR
Yuanyuan Lyu, Haofu Liao, Heqin Zhu, Shaohua Kevin Zhou