Heng Guo - RankMe

17 papers A* 3Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models. CoRR Chengyu Fang, Heng Guo, Zheng Jiang, Chunming He, Xiu Li, Minfeng Xu
2025	J	`jnl`	A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT. CoRR Dazhou Guo, Zhanghexuan Ji, Yanzhou Su, Dandan Zheng, Heng Guo, Puyang Wang, Ke Yan, Yirui Wang, Qinji Yu, Zi Li, Minfeng Xu, Jianfeng Zhang, Haoshen Li, Jia Ge, Tsung-Ying Ho, Bing-shen Huang, Tashan Ai, Kuaile Zhao, Na Shen, Qifeng Wang, Yun Bian, Tingyu Wu, Peng Du, Hua Zhang, Feng-Ming (Spring) Kong, Alan L. Yuille, Cher Heng Tan, Chunyan Miao, Perry J. Pickhardt, Senxiang Yan, Ronald M. Summers, Le Lu, Dakai Jin, Xianghua Ye
2025	J	`jnl`	M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision. CoRR Che Liu, Zheng Jiang, Chengyu Fang, Heng Guo, Yan-Jie Zhou, Jiaqi Qu, Le Lu, Minfeng Xu
2025	J	`jnl`	Med-Query: Steerable Parsing of 9-DoF Medical Anatomies With Query Embedding. IEEE J. Biomed. Health Informatics Heng Guo, Jianfeng Zhang, Ke Yan, Le Lu, Minfeng Xu
2025	J	`jnl`	Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration. CoRR Jiaxing Huang, Heng Guo, Le Lu, Fan Yang, Minfeng Xu, Ge Yang, Wei Luo
2025	—	`conf`	Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-supervision, Mixture of Experts and Multi-task Integration. MICCAI (15) Jiaxing Huang, Heng Guo, Le Lu, Fan Yang, Minfeng Xu, Ge Yang, Wei Luo
2025	A*	`conf`	Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans. AAAI Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu
2024	A*	`conf`	CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. CVPR Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu
2024	J	`jnl`	CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. CoRR Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu
2024	J	`jnl`	Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures. CoRR Jiaxing Huang, Yanfeng Zhou, Yaoru Luo, Guole Liu, Heng Guo, Ge Yang
2024	—	`conf`	Representing Topological Self-similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures. ECCV (30) Jiaxing Huang, Yanfeng Zhou, Yaoru Luo, Guole Liu, Heng Guo, Ge Yang
2024	J	`jnl`	Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans. CoRR Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu
2023	A*	`conf`	Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis. ICCV Yankai Jiang, Mingze Sun, Heng Guo, Xiaoyu Bai, Ke Yan, Le Lu, Minfeng Xu
2023	J	`jnl`	Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation. CoRR Yankai Jiang, Mingze Sun, Heng Guo, Ke Yan, Le Lu, Minfeng Xu
2022	J	`jnl`	A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation. CoRR Minfeng Xu, Heng Guo, Jianfeng Zhang, Ke Yan, Le Lu
2022	J	`jnl`	Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding. CoRR Heng Guo, Jianfeng Zhang, Ke Yan, Le Lu, Minfeng Xu
2022	—	`conf`	Semi-supervised Detection, Identification and Segmentation for Abdominal Organs. FLARE@MICCAI Mingze Sun, Yankai Jiang, Heng Guo