Wei Zhang - RankMe

59 papers A* 1A 1Journal 37Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Knowledge distillation and dataset distillation of large language models: emerging trends, challenges, and future directions. Artif. Intell. Rev. Luyang Fang, Xiaowei Yu, Jiazhang Cai, Yongkai Chen, Shushan Wu, Zhengliang Liu, Zhenyuan Yang, Haoran Lu, Xilin Gong, Yufang Liu, Terry Ma, Wei Ruan, Ali Abbasi, Jing Zhang, Tao Wang, Ehsan Latif, Wei Liu, Wei Zhang, Soheil Kolouri, Xiaoming Zhai, Dajiang Zhu, Wenxuan Zhong, Tianming Liu, Ping Ma
2026	J	`jnl`	Large language models for bioinformatics. Quant. Biol. Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
2026	J	`jnl`	Transfer learning from 2D natural images to 4D fMRI brain images via geometric mapping. Medical Image Anal. Kai Gao, Lubin Wang, Liang Li, Xiao Chen, Bin Lu, Yu-Wei Wang, Xue-Ying Li, Zi-Han Wang, Hui-Xian Li, Yi-Fan Liao, Li-Ping Cao, Guan-Mao Chen, Jian-Shan Chen, Tao Chen, Tao-Lin Chen, Yan-Rong Chen, Yu-Qi Cheng, Zhao-Song Chu, Shi-Xian Cui, Xi-Long Cui, Zhao-Yu Deng, Qing-Lin Gao, Qi-Yong Gong, Wen-Bin Guo, Can-Can He, Zheng-Jia-Yi Hu, Qian Huang, Xin-Lei Ji, Feng-Nan Jia, Li Kuang, Bao-Juan Li, Feng Li, Tao Li, Xue Li, Tao Lian, Xiao-Yun Liu, Yan-Song Liu, Zhe-Ning Liu, Yi-Cheng Long, Jian-Ping Lu, Jiang Qiu, Xiao-Xiao Shan, Tian-Mei Si, Peng-Feng Sun, Chuan-Yue Wang, Han-Lin Wang, Xiang Wang, Ying Wang, Chen-Nan Wu, Xiao-Ping Wu, Xin-Ran Wu, Yan-Kun Wu, Chun-Ming Xie, Guang-Rong Xie, Peng Xie, Xiu-Feng Xu, Zhen-Peng Xue, Hong Yang, Jian Yang, Hua Yu, Yong-qiang Yu, Min-Lan Yuan, Yong-Gui Yuan, Ai-Xia Zhang, Ke-Rang Zhang, Wei Zhang, Zi-Jing Zhang, Jing-Ping Zhao, Jia-Jia Zhu, Xi-Nian Zuo, Hua-Ning Wang, Chao-Gan Yan, Yufeng Zang, Dewen Hu
2025	J	`jnl`	Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges. CoRR Haoran Lu, Luyang Fang, Ruidong Zhang, Xinliang Li, Jiazhang Cai, Huimin Cheng, Lin Tang, Ziyu Liu, Zeliang Sun, Tao Wang, Yingchuan Zhang, Arif Hassan Zidan, Jinwen Xu, Jincheng Yu, Meizhi Yu, Hanqi Jiang, Xilin Gong, Weidi Luo, Bolun Sun, Yongkai Chen, Terry Ma, Shushan Wu, Yifan Zhou, Junhao Chen, Haotian Xiang, Jing Zhang, Afrar Jahin, Wei Ruan, Ke Deng, Yi Pan, Peilong Wang, Jiahui Li, Zhengliang Liu, Lu Zhang, Lin Zhao, Wei Liu, Dajiang Zhu, Xin Xing, Fei Dou, Wei Zhang, Chao Huang, Rongjie Liu, Mengrui Zhang, Yiwen Liu, Xiaoxiao Sun, Qin Lu, Zhen Xiang, Wenxuan Zhong, Tianming Liu, Ping Ma
2025	J	`jnl`	Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems. CoRR Sohan Shankar, Yi Pan, Hanqi Jiang, Zhengliang Liu, Mohammad Reza Darbandi, Agustin Lorenzo, Junhao Chen, Md Mehedi Hasan, Arif Hassan Zidan, Eliana Gelman, Joshua A. Konfrst, Jillian Y. Russell, Katelyn Fernandes, Tianze Yang, Yiwei Li, Huaqin Zhao, Afrar Jahin, Triparna Ganguly, Shair Dinesha, Yifan Zhou, Zihao Wu, Xinliang Li, Lokesh Adusumilli, Aziza Hussein, Sagar Nookarapu, Jixin Hou, Kun Jiang, Jiaxi Li, Brenden Heinel, XianShen Xi, Hailey Hubbard, Zayna Khan, Levi Whitaker, Ivan Cao, Max Allgaier, Andrew Darby, Lin Zhao, Lu Zhang, Xiaoqiao Wang, Xiang Li, Wei Zhang, Xiaowei Yu, Dajiang Zhu, Yohannes Abate, Tianming Liu
2025	J	`jnl`	CLAQS: Compact Learnable All-Quantum Token Mixer with Shared-ansatz for Text Classification. CoRR Junhao Chen, Yifan Zhou, Hanqi Jiang, Yi Pan, Yiwei Li, Huaqin Zhao, Wei Zhang, Yingfeng Wang, Tianming Liu
2025	J	`jnl`	HOME-3: High-Order Momentum Estimator with Third-Power Gradient for Convex and Smooth Nonconvex Optimization. CoRR Wei Zhang, Arif Hassan Zidan, Afrar Jahin, Yu Bao, Tianming Liu
2025	J	`jnl`	JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation. CoRR Kai Liu, Jungang Li, Yuchong Sun, Shengqiong Wu, Jianzhang Gao, Daoan Zhang, Wei Zhang, Sheng Jin, Sicheng Yu, Geng Zhan, Jiayi Ji, Fan Zhou, Liang Zheng, Shuicheng Yan, Hao Fei, Tat-Seng Chua
2025	J	`jnl`	Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions. CoRR Luyang Fang, Xiaowei Yu, Jiazhang Cai, Yongkai Chen, Shushan Wu, Zhengliang Liu, Zhenyuan Yang, Haoran Lu, Xilin Gong, Yufang Liu, Terry Ma, Wei Ruan, Ali Abbasi, Jing Zhang, Tao Wang, Ehsan Latif, Wei Liu, Wei Zhang, Soheil Kolouri, Xiaoming Zhai, Dajiang Zhu, Wenxuan Zhong, Tianming Liu, Ping Ma
2025	J	`jnl`	Large Language Models for Bioinformatics. CoRR Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
2025	J	`jnl`	Permutation Randomization on Nonsmooth Nonconvex Optimization: A Theoretical and Experimental Study. CoRR Wei Zhang, Arif Hassan Zidan, Afrar Jahin, Yu Bao, Tianming Liu
2025	J	`jnl`	Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding. CoRR Afrar Jahin, Yi Pan, Yingfeng Wang, Tianming Liu, Wei Zhang
2025	—	`conf`	Structure-aware Domain Knowledge Injection for Large Language Models. ACL (1) Kai Liu, Ze Chen, Zhihang Fu, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
2025	J	`jnl`	Toward Democratizing High-Definition Map Update Through Consortium Blockchain. IEEE Trans. Intell. Transp. Syst. Benny Wijaya, Mengmeng Yang, Tuopu Wen, Kun Jiang, Wei Zhang, Yunlong Wang, Zheng Fu, Xuewei Tang, Diange Yang
2025	J	`jnl`	Unveiling the Mathematical Reasoning in DeepSeek Models: A Comparative Study of Large Language Models. CoRR Afrar Jahin, Arif Hassan Zidan, Yu Bao, Shizhe Liang, Tianming Liu, Wei Zhang
2024	J	`jnl`	A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks. CoRR Jiaqi Wang, Hanqi Jiang, Yiheng Liu, Chong Ma, Xu Zhang, Yi Pan, Mengyuan Liu, Peiran Gu, Sichen Xia, Wenjun Li, Yutong Zhang, Zihao Wu, Zhengliang Liu, Tianyang Zhong, Bao Ge, Tuo Zhang, Ning Qiang, Xintao Hu, Xi Jiang, Xin Zhang, Wei Zhang, Dinggang Shen, Tianming Liu, Shu Zhang
2024	J	`jnl`	Analyzing Nobel Prize Literature with Large Language Models. CoRR Zhenyuan Yang, Zhengliang Liu, Jian Zhang, Cen Lu, Jiaxin Tai, Tianyang Zhong, Yiwei Li, Siyan Zhao, Teng Yao, Qing Liu, Jinlin Yang, Qixin Liu, Zhaowei Li, Kexin Wang, Longjun Ma, Dajiang Zhu, Yudan Ren, Bao Ge, Wei Zhang, Ning Qiang, Tuo Zhang, Tianming Liu
2024	J	`jnl`	Brain-like Functional Organization within Large Language Models. CoRR Haiyang Sun, Lin Zhao, Zihao Wu, Xiaohui Gao, Yutao Hu, Mengfei Zuo, Wei Zhang, Junwei Han, Tianming Liu, Xintao Hu
2024	—	`conf`	Deep Linear Matrix Approximate Reconstruction Reveals Reproducible Large-Scale Functional Connectivity Networks in the Human Brain. MCHM@MM Wei Zhang, Xi Jiang, Shijie Zhao, Ning Qiang, Yu Bao, Jinglei Lv
2024	A*	`conf`	Enhancing LLM's Cognition via Structurization. NeurIPS Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
2024	J	`jnl`	Enhancing LLM's Cognition via Structurization. CoRR Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
2024	J	`jnl`	Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu
2024	—	`conf`	Identifying Functional Brain Networks under Naturalistic Paradigm via A Three-Dimensional Spatial Attention Convolution Autoencoder. ISBI Yudan Ren, Song Yin, Zhengyang Liu, Kexin Wang, Mingnan Le, Wei Zhang, Xiao Li
2024	—	`conf`	Predicting Human Brain States with Transformer. LDTM/MMMI/ML4MHD/ML-CDS@MICCAI Yifei Sun, Mariano Cabezas, Jiah Lee, Chenyu Wang, Wei Zhang, Fernando Calamante, Jinglei Lv
2024	J	`jnl`	Predicting Human Brain States with Transformer. CoRR Yifei Sun, Mariano Cabezas, Jiah Lee, Chenyu Wang, Wei Zhang, Fernando Calamante, Jinglei Lv
2024	J	`jnl`	Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios. CoRR Shaochen Xu, Yifan Zhou, Zhengliang Liu, Zihao Wu, Tianyang Zhong, Huaqin Zhao, Yiwei Li, Hanqi Jiang, Yi Pan, Junhao Chen, Jin Lu, Wei Zhang, Tuo Zhang, Lu Zhang, Dajiang Zhu, Xiang Li, Wei Liu, Quanzheng Li, Andrea Sikora, Xiaoming Zhai, Zhen Xiang, Tianming Liu
2022	J	`jnl`	DELMAR: Deep Linear Matrix Approximately Reconstruction to Extract Hierarchical Functional Connectivity in the Human Brain. CoRR Wei Zhang, Yu Bao
2022	J	`jnl`	DEMAND: Deep Matrix Approximately Nonlinear Decomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain. CoRR Wei Zhang, Yu Bao
2022	J	`jnl`	Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition. IEEE Trans. Biomed. Eng. Qing Li, Wei Zhang, Lin Zhao, Xia Wu, Tianming Liu
2022	J	`jnl`	SADAM: Stochastic Adam, A Stochastic Operator for First-Order Gradient-based Optimizer. CoRR Wei Zhang, Yu Bao
2022	J	`jnl`	SENDER: SEmi-Nonlinear Deep Efficient Reconstructor for Extraction Canonical, Meta, and Sub Functional Connectivity in the Human Brain. CoRR Wei Zhang, Yu Bao
2021	—	`conf`	Modeling Hierarchical Spatial and Temporal Patterns of Naturalistic fMRI Volume via Volumetric Deep Belief Network with Neural Architecture Search. ISBI Yudan Ren, Zeyang Tao, Wei Zhang, Tianming Liu
2020	J	`jnl`	Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). IEEE Trans. Cogn. Dev. Syst. Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
2020	J	`jnl`	Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu
2020	—	`conf`	Identifying Hierarchical Individual Functional Network under Naturalistic Paradigm via Two-stage DBN with Neural Architecture Search. ISICDM Zeyang Tao, Yudan Ren, Wei Zhang, Tianming Liu
2020	J	`jnl`	Modeling task-based fMRI data via deep belief network with neural architecture search. Comput. Medical Imaging Graph. Ning Qiang, Qinglin Dong, Wei Zhang, Bao Ge, Fangfei Ge, Hongtao Liang, Yifei Sun, Jie Gao, Tianming Liu
2020	—	`conf`	Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition. MICCAI (7) Qing Li, Wei Zhang, Jinglei Lv, Xia Wu, Tianming Liu
2020	—	`conf`	Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search. ISBI Haixing Dai, Fangfei Ge, Qing Li, Wei Zhang, Tianming Liu
2019	J	`jnl`	Discovering hierarchical common brain networks via multimodal deep belief network. Medical Image Anal. Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu
2019	J	`jnl`	Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. IEEE Trans. Biomed. Eng. Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu
2019	—	`conf`	Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder. MBIA/MFCA@MICCAI Shijie Zhao, Yan Cui, Yaowu Chen, Xin Zhang, Wei Zhang, Huan Liu, Junwei Han, Lei Guo, Li Xie, Tianming Liu
2019	—	`conf`	Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net. MICCAI (3) Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Liu
2019	—	`conf`	Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling. ISBI Yu Zhao, Haixing Dai, Wei Zhang, Fangfei Ge, Tianming Liu
2018	J	`jnl`	Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks. IEEE Trans. Biomed. Eng. Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu
2018	—	`conf`	Latent source mining of fMRI data via deep belief network. ISBI Lei Li, Xintao Hu, Heng Huang, Chunlin He, Liting Wang, Junwei Han, Lei Quo, Wei Zhang, Tianming Liu
2018	—	`conf`	Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). MICCAI (3) Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
2018	J	`jnl`	Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). CoRR Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
2018	—	`conf`	Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding. ISBI Wei Zhang, Jinglei Lv, Shu Zhang, Yu Zhao, Tianming Liu
2018	J	`jnl`	Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. NeuroImage Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu
2018	J	`jnl`	Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex. IEEE Trans. Biomed. Eng. Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu
2017	—	`conf`	A novel framework for groupwise registration of fMRI images based on common functional networks. ISBI Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu
2017	J	`jnl`	Task fMRI data analysis based on supervised stochastic coordinate coding. Medical Image Anal. Jinglei Lv, Binbin Lin, Qingyang Li, Wei Zhang, Yu Zhao, Xi Jiang, Lei Guo, Junwei Han, Xintao Hu, Christine Cong Guo, Jieping Ye, Tianming Liu
2016	—	`conf`	Modeling Functional Dynamics of Cortical Gyri and Sulci. MICCAI (1) Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Tianming Liu
2015	—	`conf`	Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding. MICCAI (1) Jinglei Lv, Binbin Lin, Wei Zhang, Xi Jiang, Xintao Hu, Junwei Han, Lei Guo, Jieping Ye, Tianming Liu
2015	—	`conf`	Signal sampling for efficient sparse representation of resting state FMRI data. ISBI Bao Ge, Jin Wang, Jinglei Lv, Shu Zhang, Shijie Zhao, Wei Zhang, Qinghua Zhao, Xiang Li, Xi Jiang, Junwei Han, Lei Guo, Tianming Liu
2004	—	`conf`	Development and evaluation of optimal prostate biopsy protocols for individual groups of patients. CARS Jianchao Zeng, Ariela Sofer, Wei Zhang, Leon Sun, Isabell A. Sesterhenn, Judd W. Moul, Seong Ki Mun, Mohamed F. Chouikha
2004	J	`jnl`	Optimized prostate biopsy via a statistical atlas of cancer spatial distribution. Medical Image Anal. Dinggang Shen, Zhiqiang Lao, Jianchao Zeng, Wei Zhang, Isabell A. Sesterhenn, Leon Sun, Judd W. Moul, Edward Herskovits, Gabor Fichtinger, Christos Davatzikos
2001	—	`conf`	Probability of cancer detection with optimized prostate biopsy protocols. Image-Guided Procedures Jianchao Zeng, Ariela Sofer, John J. Bauer, Wei Zhang, Isabell A. Sesterhenn, Judd W. Moul, Seong Ki Mun
2000	A	`conf`	Distribution of Prostrate Cancer for Optimized Biopsy Protocols. MICCAI Jianchao Zeng, John J. Bauer, Ariela Sofer, Xiaohu Yao, Brett Opell, Wei Zhang, Isabell A. Sesterhenn, Judd W. Moul, John H. Lynch, Seong Ki Mun