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)

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 (IPMI, 2021)

You only Learn Once: Universal Anatomical Landmark Detection. - Heqin Zhu; Qingsong Yao; Li Xiao 005; S. Kevin Zhou (MICCAI (5), 2021)

Deep learning to segment pelvic bones: large-scale CT datasets and baseline models. - Pengbo Liu 004; Hu Han 001; Yuanqi Du; Heqin Zhu; Yinhao Li; Feng Gu; Honghu Xiao; Jun Li 103; Chunpeng Zhao; Li Xiao 005; Xinbao Wu; S. Kevin Zhou (Int. J. Comput. Assist. Radiol. Surg., 2021)

Relative distance matters for one-shot landmark detection. - Qingsong Yao; Jianji Wang 003; Yihua Sun; Quan Quan; Heqin Zhu; S. Kevin Zhou (CoRR, 2022)

DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection. - Heqin Zhu; Xu Sun 006; Yuexiang Li; Kai Ma 002; S. Kevin Zhou; Yefeng Zheng 001 (CoRR, 2022)

DATR: Domain-adaptive transformer for multi-domain landmark detection. - Heqin Zhu; Qingsong Yao; S. Kevin Zhou (CoRR, 2022)

UOD: Universal One-Shot Detection of Anatomical Landmarks. - Heqin Zhu; Quan Quan; Qingsong Yao; Zaiyi Liu; S. Kevin Zhou (MICCAI (1), 2023)

Unsupervised augmentation optimization for few-shot medical image segmentation. - Quan Quan; Shang Zhao 004; Qingsong Yao; Heqin Zhu; S. Kevin Zhou (CoRR, 2023)

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 (MICCAI (11), 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 (MICCAI (1), 2024)

Slide-SAM: Medical SAM Meets Sliding Window. - Quan Quan; Fenghe Tang; Zikang Xu; Heqin Zhu; S. Kevin Zhou (MIDL, 2024)

HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection. - Xiaoqian Zhou; Zhen Huang 007; Heqin Zhu; Qingsong Yao; S. Kevin Zhou (CoRR, 2024)

Which images to label for few-shot medical image analysis? - Quan Quan; Qingsong Yao; Heqin Zhu; Qiyuan Wang 001; S. Kevin Zhou (Medical Image Anal., 2024)

PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement. - Zhen Huang 007; Han Li; Shitong Shao; Heqin Zhu; Huijie Hu; Zhiwei Cheng; Jianji Wang 003; S. Kevin Zhou (Int. J. Comput. Assist. Radiol. Surg., 2024)

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, 2025)