Li Shen - RankMe

288 papers A* 7A 5B 9C 6Misc 8Journal 130Unranked 117

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving the Trade-off Between Watermark Strength and Speculative Sampling Efficiency for Language Models. CoRR Weiqing He, Xiang Li, Li Shen, Weijie J. Su, Qi Long
2026	J	`jnl`	Learning Ordered Representations in Latent Space for Intrinsic Dimension Estimation via Principal Component Autoencoder. CoRR Qipeng Zhan, Zhuoping Zhou, Zexuan Wang, Li Shen
2026	J	`jnl`	SDoH-GPT: using large language models to extract social determinants of health. J. Am. Medical Informatics Assoc. Bernardo Consoli, Haoyang Wang, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding
2026	J	`jnl`	Subject-adaptive meta-learning for personalized BCI: A fusion of resting-state EEG signal and task-specific information. Inf. Fusion Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
2026	J	`jnl`	Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data. CoRR Sophie Kearney, Shu Yang, Zixuan Wen, Weimin Lyu, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Chao Chen, Li Shen
2025	—	`conf`	A Comprehensive Benchmark of Tool-Augmented Large Language Models for Biomedical Knowledge Retrieval and Integration. BIBM Van Q. Truong, Shu Yang, Li Shen, Marylyn D. Ritchie
2025	—	`conf`	Adapting Vision-Language Models for 3D CT/MRI Understanding on PMBB via Slice Selection and Explanation Analysis. ICCVW Hongzhuo Chen, Rahul Shukla, Ruiming Wu, Shu Yang, Duy Duong-Tran, Duy Minh Ho Nguyen, Mathias Niepert, Cameron Beeche, James C. Gee, Jeffrey T. Duda, Rakesh Sharma, Christos Davatzikos, Walter R. Witschey, Bojian Hou, Li Shen
2025	—	`conf`	Characterizing Amyloid Pathogenic Spread in Alzheimer's Disease Through A Network Diffusion Model. BCB Frederick H. Xu, Duy Duong-Tran, Heng Huang, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Yize Zhao, Li Shen
2025	J	`jnl`	DynamiCare: A Dynamic Multi-Agent Framework for Interactive and Open-Ended Medical Decision-Making. CoRR Tianqi Shang, Weiqing He, Charles Zheng, Lingyao Li, Li Shen, Bingxin Zhao
2025	—	`conf`	Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs. BCB Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2025	J	`jnl`	Enabling Few-Shot Alzheimer's Disease Diagnosis on Tabular Biomarker Data with LLMs. CoRR Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2025	J	`jnl`	Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling. Medical Image Anal. Selena Wang, Yiting Wang, Frederick H. Xu, Li Shen, Yize Zhao
2025	—	`conf`	Evaluating topological fitness of human brain-inspired sub-circuits in Echo State Networks. AAAI Bridge Program Bach V. Nguyen, Tianlong Chen, Shu Yang, Bojian Hou, Li Shen, Duy Duong-Tran
2025	—	`conf`	Fair CCA for Fair Representation Learning: An ADNI Study. BCB Bojian Hou, Zhanliang Wang, Zhuoping Zhou, Boning Tong, Zexuan Wang, Jingxuan Bao, Duy Duong-Tran, Qi Long, Li Shen
2025	J	`jnl`	Fair CCA for Fair Representation Learning: An ADNI Study. CoRR Bojian Hou, Zhanliang Wang, Zhuoping Zhou, Boning Tong, Zexuan Wang, Jingxuan Bao, Duy Duong-Tran, Qi Long, Li Shen
2025	A*	`conf`	Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic. ICLR Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J. Su, Li Shen
2025	J	`jnl`	High-dimensional mediation analysis reveals the mediating role of physical activity patterns in genetic pathways leading to AD-like brain atrophy. BioData Min. Hanxiang Xu, Shizhuo Mu, Jingxuan Bao, Christos Davatzikos, Haochang Shou, Li Shen
2025	J	`jnl`	ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning. CoRR Ruochen Jin, Boning Tong, Shu Yang, Bojian Hou, Li Shen
2025	B	`conf`	IRIS: Interpretable Risk Clustering Intelligence for Survival Analysis. IEEE Big Data Kazi Noshin, Bojian Hou, Mary Regina Boland, Zixuan Wen, Boning Tong, Li Shen, Aidong Zhang
2025	—	`conf`	Integrating Social Determinants of Health in a Multi-Modal Deep Clustering Survival Model for Injury-Risk in Alzheimer’s and Related Dementia Patients. AAAI Bridge Program Kazi Noshin, Mary Regina Boland, Bojian Hou, Weiqing He, Victoria Lu, Li Shen, Aidong Zhang
2025	J	`jnl`	Investigating LLMs in Clinical Triage: Promising Capabilities, Persistent Intersectional Biases. CoRR Joseph Lee, Tianqi Shang, Jae Young Baik, Duy Duong-Tran, Shu Yang, Lingyao Li, Li Shen
2025	J	`jnl`	Large-Scale Neural Network Quantum States Calculation for Quantum Chemistry on a New Sunway Supercomputer. IEEE Trans. Parallel Distributed Syst. Yangjun Wu, Wenhao Zhou, Li Shen, Hong Qian, Honghui Shang
2025	J	`jnl`	MG-TCCA: Tensor Canonical Correlation Analysis Across Multiple Groups. IEEE Trans. Comput. Biol. Bioinform. Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen
2025	—	`conf`	MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance. KDD (2) Jia Xu, Tianyi Wei, Bojian Hou, Patryk Orzechowski, Shu Yang, Ruochen Jin, Rachael Paulbeck, Joost B. Wagenaar, George Demiris, Li Shen
2025	J	`jnl`	MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance. CoRR Jia Xu, Tianyi Wei, Bojian Hou, Patryk Orzechowski, Shu Yang, Ruochen Jin, Rachael Paulbeck, Joost B. Wagenaar, George Demiris, Li Shen
2025	J	`jnl`	Modeling the impact of socioeconomic disparity, biological markers and environmental exposures on phenotypic age using mediation analysis and structural equation models. Int. J. Medical Informatics Daniele Pala, Yuezhi Xie, Jia Xu, Li Shen
2025	—	`conf`	Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery. ICCVW Zixuan Wen, Bojian Hou, Weiqing He, Shu Yang, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
2025	J	`jnl`	Multi-Modal Diagnosis of Alzheimer's Disease Using Interpretable Graph Convolutional Networks. IEEE Trans. Medical Imaging Houliang Zhou, Lifang He, Brian Y. Chen, Li Shen, Yu Zhang
2025	J	`jnl`	Multi-Scale Geometric Autoencoder. CoRR Qipeng Zhan, Zhuoping Zhou, Zexuan Wang, Li Shen
2025	J	`jnl`	Multimodal Fusion of Regional Brain Experts for Interpretable Alzheimer's Disease Diagnosis. CoRR Farica Zhuang, Dinara Aliyeva, Shu Yang, Zixuan Wen, Duy Duong-Tran, Christos Davatzikos, Tianlong Chen, Song Wang, Li Shen
2025	J	`jnl`	On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection. CoRR Weiqing He, Xiang Li, Tianqi Shang, Li Shen, Weijie J. Su, Qi Long
2025	—	`conf`	Predicting Longitudinal Cognitive Decline via Multimodal Deep Learning Fusing Brain MRI and Clinical Data. SIPAIM Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H. Ankarath, Christopher Patterson, Emma J. Gleave, Sophia I. Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M. Thompson
2025	J	`jnl`	Predicting explainable dementia types with LLM-aided feature engineering. Bioinform. Aditya Kashyap, Delip Rao, Mary Regina Boland, Li Shen, Chris Callison-Burch
2025	J	`jnl`	QOT: Quantized Optimal Transport for sample-level distance matrix in single-cell omics. Briefings Bioinform. Zexuan Wang, Qipeng Zhan, Shu Yang, Shizhuo Mu, Jiong Chen, Sumita Garai, Patryk Orzechowski, Joost B. Wagenaar, Li Shen
2025	J	`jnl`	Reconstructing Brain Causal Dynamics for Subject and Task Fingerprints using fMRI Time-series Data. CoRR Dachuan Song, Li Shen, Duy Duong-Tran, Xuan Wang
2025	J	`jnl`	Reconstructing brain causal dynamics for subject and task fingerprints using fMRI time-series data. Health Inf. Sci. Syst. Dachuan Song, Li Shen, Duy Duong-Tran, Xuan Wang
2025	A*	`conf`	Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach. ICML Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen
2025	J	`jnl`	Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach. CoRR Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen
2025	J	`jnl`	Uncovering Alzheimer's Disease Progression via SDE-based Spatio-Temporal Graph Deep Learning on Longitudinal Brain Networks. CoRR Houliang Zhou, Rong Zhou, Yangying Liu, Kanhao Zhao, Li Shen, Brian Y. Chen, Yu Zhang, Lifang He, Alzheimer's Disease Neuroimaging Initiative
2024	—	`conf`	Caudal and Thalamic Segregation in White Matter Brain Network Communities in Alzheimer's Disease Population. BHI Frederick H. Xu, Duy Duong-Tran, Yize Zhao, Li Shen
2024	—	`conf`	Causality-based Subject and Task Fingerprints using fMRI Time-series Data. BCB Dachuan Song, Li Shen, Duy Duong-Tran, Xuan Wang
2024	J	`jnl`	Causality-based Subject and Task Fingerprints using fMRI Time-series Data. CoRR Dachuan Song, Li Shen, Duy Duong-Tran, Xuan Wang
2024	J	`jnl`	Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion. CoRR Tianyi Wei, Shu Yang, Davoud Ataee Tarzanagh, Jingxuan Bao, Jia Xu, Patryk Orzechowski, Joost B. Wagenaar, Qi Long, Li Shen
2024	—	`conf`	DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. EMNLP (Findings) Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen
2024	J	`jnl`	DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen
2024	J	`jnl`	Deep learning-based approaches for multi-omics data integration and analysis. BioData Min. Jenna L. Ballard, Zexuan Wang, Wenrui Li, Li Shen, Qi Long
2024	C	`conf`	Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. ACML Duy Minh Ho Nguyen, An Thai Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag
2024	J	`jnl`	Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. CoRR Duy M. H. Nguyen, An T. Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag
2024	A*	`conf`	Fairness-Aware Estimation of Graphical Models. NeurIPS Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen
2024	J	`jnl`	Fairness-Aware Estimation of Graphical Models. CoRR Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen
2024	J	`jnl`	Fine-Tuning Linear Layers Only Is a Simple yet Effective Way for Task Arithmetic. CoRR Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J. Su, Li Shen
2024	J	`jnl`	Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare. CoRR Tianqi Shang, Weiqing He, Tianlong Chen, Ying Ding, Huanmei Wu, Kaixiong Zhou, Li Shen
2024	—	`conf`	Integrative Analysis of Amyloid Imaging and Genetics Reveals Subtypes of Alzheimer Progression in Early Stage. AIME (2) Bing He, Neel Sangani, Ruiming Wu, Pradeep Varathan, Alice Patania, Shannon L. Risacher, Kwangsik Nho, Liana G. Apostolova, Andrew J. Saykin, Li Shen, Jingwen Yan
2024	J	`jnl`	Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
2024	J	`jnl`	Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models. CoRR Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen
2024	J	`jnl`	Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs. CoRR Tianqi Shang, Shu Yang, Weiqing He, Tianhua Zhai, Dawei Li, Bojian Hou, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2024	—	`conf`	Mapping Alzheimer's Disease Pseudo-Progression With Multimodal Biomarker Trajectory Embeddings. ISBI Lina Takemaru, Shu Yang, Ruiming Wu, Bing He, Christos Davtzikos, Jingwen Yan, Li Shen
2024	J	`jnl`	Multimodal Neurodegenerative Disease Subtyping Explained by ChatGPT. CoRR Diego Machado Reyes, Hanqing Chao, Juergen Hahn, Li Shen, Pingkun Yan
2024	—	`conf`	Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits. ISBI Zixuan Wen, Jingxuan Bao, Shu Yang, Junhao Wen, Qipeng Zhan, Yuhan Cui, Güray Erus, Zhijian Yang, Paul M. Thompson, Yize Zhao, Christos Davatzikos, Li Shen
2024	A	`conf`	Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. AISTATS Davoud Ataee Tarzanagh, Parvin Nazari, Bojian Hou, Li Shen, Laura Balzano
2024	—	`conf`	Preserving Human Large-Scale Brain Connectivity Fingerprint Identifiability with Random Projections. ISBI Duy Duong-Tran, Mark Magsino, Joaquín Goñi, Li Shen
2024	J	`jnl`	SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). CoRR Bernardo Consoli, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding
2024	B	`conf`	SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text. IEEE Big Data Weiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen
2024	J	`jnl`	SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text. CoRR Weiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen
2024	—	`conf`	Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. MICCAI (11) Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
2024	J	`jnl`	Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. CoRR Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
2024	J	`jnl`	Theorizing neuro-induced relationships between cognitive diversity, motivation, grit and academic performance in multidisciplinary engineering education context. CoRR Duy Duong-Tran, Siqing Wei, Li Shen
2024	—	`conf`	Towards Instructing Disease-Drug Link Prediction with Social Determinants of Health. BCB Yashaswi Galhotra, Ying Ding, Li Shen, Huanmei Wu, Tianlong Chen, Kaixiong Zhou
2024	—	`conf`	Volume-Optimal Persistence Homological Scaffolds of Hemodynamic Networks Covary with MEG Theta-Alpha Aperiodic Dynamics. MICCAI (3) Nghi Nguyen, Tao Hou, Enrico Amico, Jingyi Zheng, Huajun Huang, Alan D. Kaplan, Giovanni Petri, Joaquín Goñi, Ralph Kaufmann, Yize Zhao, Duy Duong-Tran, Li Shen
2023	J	`jnl`	AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. J. Biomed. Informatics Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
2023	—	`conf`	Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics. MICCAI (2) Rong Zhou, Houliang Zhou, Brian Y. Chen, Li Shen, Yu Zhang, Lifang He
2023	J	`jnl`	Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease. NeuroImage Jingxuan Bao, Junhao Wen, Zixuan Wen, Shu Yang, Yuhan Cui, Zhijian Yang, Güray Erus, Andrew J. Saykin, Qi Long, Christos Davatzikos, Li Shen
2023	—	`conf`	Causal Effects of Environmental Exposures and Biological Traits on the Difference between Phenotypic and Chronological Ages. BIBM Daniele Pala, Yuezhi Xie, Jia Xu, Yuqin Zhang, Li Shen
2023	—	`conf`	Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. MLMI@MICCAI (2) Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2023	A*	`conf`	Fair Canonical Correlation Analysis. NeurIPS Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
2023	J	`jnl`	Fair Canonical Correlation Analysis. CoRR Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
2023	A	`conf`	Fairness-aware class imbalanced learning on multiple subgroups. UAI Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen
2023	J	`jnl`	Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos
2023	—	`conf`	Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen
2023	J	`jnl`	Incomplete Multimodal Learning for Complex Brain Disorders Prediction. CoRR Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson
2023	—	`conf`	Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging Genetics. BIBM Rong Zhou, Houliang Zhou, Li Shen, Brian Y. Chen, Yu Zhang, Lifang He
2023	J	`jnl`	Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis. Briefings Bioinform. Jingxuan Bao, Changgee Chang, Qiyiwen Zhang, Andrew J. Saykin, Li Shen, Qi Long
2023	—	`conf`	Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging Genetics. BIBM Houliang Zhou, Yu Zhang, Lifang He, Li Shen, Brian Y. Chen
2023	J	`jnl`	Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing. CoRR Shunian Xiang, Patrick J. Lawrence, Bo Peng, Chienwei Chiang, Dokyoon Kim, Li Shen, Xia Ning
2023	—	`conf`	Multi-Group Tensor Canonical Correlation Analysis. BCB Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen
2023	B	`conf`	Shape analysis of amygdala atrophy using SPHARM-OT. Image Processing Zexuan Wang, Jiong Chen, Wenxi Yang, Sumita Garai, Frederick H. Xu, Junhao Wen, Christos Davatzikos, Li Shen
2022	—	`conf`	Connectome transformer with anatomically inspired attention for Parkinson's diagnosis. BCB Diego Machado Reyes, Mansu Kim, Hanqing Chao, Li Shen, Pingkun Yan
2022	—	`conf`	Consistency of Graph Theoretical Measurements of Alzheimer's Disease Fiber Density Connectomes Across Multiple Parcellation Scales. BIBM Frederick H. Xu, Sumita Garai, Duy Duong-Tran, Andrew J. Saykin, Yize Zhao, Li Shen
2022	J	`jnl`	Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment. BMC Bioinform. Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen
2022	J	`jnl`	Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network. Medical Image Anal. Peng Yang, Cheng Zhao, Qiong Yang, Wei Zheng, Xiaohua Xiao, Li Shen, Tianfu Wang, Baiying Lei, Ziwen Peng
2022	—	`conf`	Genomics transformer for diagnosing Parkinson's disease. BHI Diego Machado Reyes, Mansu Kim, Hanqing Chao, Juergen Hahn, Li Shen, Pingkun Yan
2022	J	`jnl`	Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data. BMC Bioinform. Hung Mai, Jingxuan Bao, Paul M. Thompson, Dokyoon Kim, Li Shen
2022	J	`jnl`	Integrating multi-omics summary data using a Mendelian randomization framework. Briefings Bioinform. Chong Jin, Brian Lee, Li Shen, Qi Long
2022	—	`conf`	Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer's Disease Diagnosis. ISBI Houliang Zhou, Lifang He, Yu Zhang, Li Shen, Brian Chen
2022	J	`jnl`	Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis. CoRR Houliang Zhou, Lifang He, Yu Zhang, Li Shen, Brian Chen
2022	A	`conf`	Large-Scale Simulation of Quantum Computational Chemistry on a New Sunway Supercomputer. SC Honghui Shang, Li Shen, Yi Fan, Zhiqian Xu, Chu Guo, Jie Liu, Wenhao Zhou, Huan Ma, Rongfen Lin, Yuling Yang, Fang Li, Zhuoya Wang, Yunquan Zhang, Zhenyu Li
2022	—	`conf`	Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease. BIBM Daniele Pala, Brian Lee, Xia Ning, Dokyoon Kim, Li Shen
2022	J	`jnl`	Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics. Medical Image Anal. Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore, Qi Long, Li Shen
2022	—	`conf`	Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. BIBM Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui, Junhao Wen, Christos Davatzikos, Jason H. Moore, Andrew J. Saykin, Qi Long, Li Shen
2022	—	`conf`	Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease. MICCAI (8) Houliang Zhou, Yu Zhang, Brian Y. Chen, Li Shen, Lifang He
2022	—	`conf`	Tensor-Based Multi-Modal Multi-Target Regression for Alzheimer's Disease Prediction. BIBM Jun Yu, Benjamin Zalatan, Yong Chen, Li Shen, Lifang He
2022	J	`jnl`	Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis. CoRR Jun Yu, Zhaoming Kong, Liang Zhan, Li Shen, Lifang He
2022	—	`conf`	Using Optimal Transport to Improve Spherical Harmonic Quantification of Complex Biological Shapes. BIBM Zexuan Wang, Wenxi Yang, Katharine Ryan, Sumita Garai, Benjamin M. Auerbach, Li Shen
2021	—	`conf`	A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits. MICCAI (5) Yize Zhao, Xiwen Zhao, Mansu Kim, Jingxuan Bao, Li Shen
2021	J	`jnl`	A structural enriched functional network: An application to predict brain cognitive performance. Medical Image Anal. Mansu Kim, Jingxuan Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Jae Young Baik, Li Shen
2021	—	`conf`	Brain imaging genetics: integrated analysis and machine learning. BIBM Li Shen
2021	J	`jnl`	Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. Meiling Wang, Wei Shao, Xiaoke Hao, Li Shen, Daoqiang Zhang
2021	J	`jnl`	Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions. IEEE Trans. Biomed. Eng. Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Li Shen, Heng Huang
2021	—	`conf`	Interactive Visualization of Deep Learning for 3D Brain Data Analysis. ICCI*CC Huang Li, Shiaofen Fang, Joaquín Goñi, Andrew J. Saykin, Li Shen
2021	—	`conf`	Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. BIBM Mansu Kim, Jaesik Kim, Jeffrey Qu, Heng Huang, Qi Long, Kyung-Ah Sohn, Dokyoon Kim, Li Shen
2021	J	`jnl`	Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
2021	J	`jnl`	Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos
2021	—	`conf`	Topological Learning and Its Application to Multimodal Brain Network Integration. MICCAI (2) Tananun Songdechakraiwut, Li Shen, Moo K. Chung
2020	J	`jnl`	A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease. NeuroImage Manhua Liu, Fan Li, Hao Yan, Kundong Wang, Yixin Ma, Li Shen, Mingqing Xu
2020	J	`jnl`	Accelerating bioinformatics research with International Conference on Intelligent Biology and Medicine 2020. BMC Bioinform. Yan Guo, Li Shen, Xinghua Shi, Kai Wang, Yulin Dai, Zhongming Zhao
2020	J	`jnl`	Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method. IEEE Trans. Medical Imaging Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Li Shen
2020	J	`jnl`	Brain Imaging Genomics: Integrated Analysis and Machine Learning. Proc. IEEE Li Shen, Paul M. Thompson
2020	J	`jnl`	Brain-wide structural connectivity alterations under the control of Alzheimer risk genes. Int. J. Comput. Biol. Drug Des. Jingwen Yan, V. Vinesh Raja, Zhi Huang, Enrico Amico, Kwangsik Nho, Shiaofen Fang, Olaf Sporns, Yu-Chien Wu, Andrew J. Saykin, Joaquín Goñi, Li Shen
2020	J	`jnl`	Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data. BMC Medical Informatics Decis. Mak. Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2020	C	`conf`	Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. BIBE Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen
2020	—	`conf`	Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinson's Disease. ISBI Mansu Kim, Ji Hye Won, Jisu Hong, Junmo Kwon, Hyunjin Park, Li Shen
2020	J	`jnl`	Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach. Medical Image Anal. Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen
2020	J	`jnl`	Drug-drug interaction prediction based on co-medication patterns and graph matching. Int. J. Comput. Biol. Drug Des. Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning
2020	J	`jnl`	Effect of APOE ε4 on multimodal brain connectomic traits: a persistent homology study. BMC Bioinform. Jin Li, Chenyuan Bian, Dandan Chen, Xianglian Meng, Haoran Luo, Hong Liang, Li Shen
2020	J	`jnl`	Enhanced Balanced Min Cut. Int. J. Comput. Vis. Xiaojun Chen, Weijun Hong, Feiping Nie, Joshua Zhexue Huang, Li Shen
2020	C	`conf`	Estimating Hard-tissue Conditions from Dental Images via Machine Learning. BIBE Jingxuan Bao, Mansu Kim, Qing Sun, Anderson T. Hara, Gerardo Maupome, Li Shen
2020	J	`jnl`	Grouping effects of sparse CCA models in variable selection. CoRR Kefei Liu, Qi Long, Li Shen
2020	J	`jnl`	Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu
2020	J	`jnl`	Ideas for how informaticians can get involved with COVID-19 research. BioData Min. Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes
2020	J	`jnl`	Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification. Bioinform. Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2020	J	`jnl`	Informatics and machine learning methods for health applications. BMC Medical Informatics Decis. Mak. Li Shen, Xinghua Shi, Zhongming Zhao, Kai Wang
2020	J	`jnl`	Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction. IEEE Trans. Medical Imaging Lodewijk Brand, Kai Nichols, Hua Wang, Li Shen, Heng Huang
2020	J	`jnl`	Mining and visualizing high-order directional drug interaction effects using the FAERS database. BMC Medical Informatics Decis. Mak. Xiaohui Yao, Tiffany Tsang, Qing Sun, Sara K. Quinney, Pengyue Zhang, Xia Ning, Lang Li, Li Shen
2020	J	`jnl`	Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Anal. Xiaoke Hao, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, Shannon L. Risacher, Andrew J. Saykin, Xiaohui Yao, Li Shen
2020	—	`conf`	Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification. MICCAI (7) Jin Li, Chenyuan Bian, Dandan Chen, Xianglian Meng, Haoran Luo, Hong Liang, Li Shen
2020	J	`jnl`	Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. CoRR Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2020	Misc	`conf`	Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. AMIA Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen
2020	Misc	`conf`	Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model. PSB Lodewijk Brand, Kai Nichols, Hua Wang, Heng Huang, Li Shen
2020	J	`jnl`	Regional imaging genetic enrichment analysis. Bioinform. Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen
2020	—	`conf`	Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder. MICCAI (7) Peng Yang, Qiong Yang, Wei Zheng, Li Shen, Tianfu Wang, Ziwen Peng, Baiying Lei
2020	—	`conf`	Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet. MLMI@MICCAI Mansu Kim, Jingxaun Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Li Shen
2019	—	`conf`	A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. MICCAI (4) Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2019	J	`jnl`	A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. Kefei Liu, Jieping Ye, Yang Yang, Li Shen, Hui Jiang
2019	—	`conf`	Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. ISBI Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2019	—	`conf`	Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models. MBIA/MFCA@MICCAI Ayagoz Mussabayeva, Maxim Pisov, Anvar Kurmukov, Alexey Kroshnin, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris Gutman
2019	J	`jnl`	Drug-drug interaction prediction based on co-medication patterns and graph matching. CoRR Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning
2019	J	`jnl`	Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Xiaoke Hao, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Jintai Yu, Huifu Wang, Lan Tan, Li Shen, Daoqiang Zhang
2019	J	`jnl`	Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort. Bioinform. Lei Du, Kefei Liu, Lei Zhu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2019	—	`conf`	Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments over Progressions. MICCAI (4) Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Heng Huang, Li Shen
2019	J	`jnl`	Joint between-sample normalization and differential expression detection through ℓ 0-regularized regression. BMC Bioinform. Kefei Liu, Li Shen, Hui Jiang
2019	J	`jnl`	Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database. IEEE J. Biomed. Health Informatics Danai Chasioti, Xiaohui Yao, Pengyue Zhang, Samuel Lerner, Sara K. Quinney, Xia Ning, Lang Li, Li Shen
2019	—	`conf`	Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis. BHI Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen
2019	—	`ed.`	Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings MBIA/MFCA@MICCAI Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang C. Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer
2019	—	`conf`	Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. BHI Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2019	—	`conf`	Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank. MBIA/MFCA@MICCAI Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning
2019	—	`conf`	Rapid Acceleration of the Permutation Test via Transpositions. CNI@MICCAI Moo K. Chung, Linhui Xie, Shih-Gu Huang, Yixian Wang, Jingwen Yan, Li Shen
2019	—	`conf`	Statistical Inference on the Number of Cycles in Brain Networks. ISBI Moo K. Chung, Shih-Gu Huang, Andrey Gritsenko, Li Shen, Hyekyoung Lee
2018	—	`conf`	A Unified Model for Robust Differential Expression Analysis of RNA-Seq Data. BIBM Kefei Liu, Li Shen, Hui Jian
2018	J	`jnl`	A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics. Bioinform. Lei Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2018	J	`jnl`	Drug Recommendation toward Safe Polypharmacy. CoRR Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning
2018	—	`conf`	Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics. BIBM Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen
2018	J	`jnl`	GPU Accelerated Browser for Neuroimaging Genomics. Neuroinformatics Bob Zigon, Huang Li, Xiaohui Yao, Shiaofen Fang, Mohammad Al Hasan, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen
2018	—	`ed.`	Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities - Second International Workshop, GRAIL 2018 - and - First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings GRAIL/Beyond-MIC@MICCAI Danail Stoyanov, Zeike Taylor, Enzo Ferrante, Adrian V. Dalca, Anne L. Martel, Lena Maier-Hein, Sarah Parisot, Aristeidis Sotiras, Bartlomiej W. Papiez, Mert R. Sabuncu, Li Shen
2018	—	`conf`	Heritability Estimation of Reliable Connectomic Features. CNI@MICCAI Linhui Xie, Enrico Amico, Paul Salama, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Jingwen Yan, Li Shen
2018	—	`conf`	Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. ShapeMI@MICCAI Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman
2018	J	`jnl`	Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. CoRR Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Dodonova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman
2018	—	`conf`	Interactive Machine Learning by Visualization: A Small Data Solution. IEEE BigData Huang Li, Shiaofen Fang, Snehasis Mukhopadhyay, Andrew J. Saykin, Li Shen
2018	—	`conf`	Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. MICCAI (1) Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2018	—	`conf`	Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. ISBI Jingwen Yan, Kefei Liu, Huang Lv, Enrico Amico, Shannon L. Risacher, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Li Shen
2018	J	`jnl`	Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. J. Comput. Biol. Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2018	—	`conf`	Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis. ISBI Kai Liu, Hua Wang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2018	J	`jnl`	Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data. Briefings Bioinform. Jingwen Yan, Shannon L. Risacher, Li Shen, Andrew J. Saykin
2018	J	`jnl`	Pattern Discovery from High-Order Drug-Drug Interaction Relations. J. Heal. Informatics Res. Wen-Hao Chiang, Titus Schleyer, Li Shen, Lang Li, Xia Ning
2018	—	`conf`	Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning. ISBI Lyujian Lu, Hua Wang, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2018	J	`jnl`	Quantitative trait loci identification for brain endophenotypes via new additive model with random networks. Bioinform. Xiaoqian Wang, Hong Chen, Jingwen Yan, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2018	Misc	`conf`	Session introduction. PSB Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang
2017	—	`conf`	A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. GRAIL/MFCA/MICGen@MICCAI Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2017	—	`conf`	BECA: A Software Tool for Integrated Visualization of Human Brain Data. BI Huang Li, Shiaofen Fang, Bob Zigon, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Li Shen
2017	J	`jnl`	Brain explorer for connectomic analysis. Brain Informatics Huang Li, Shiaofen Fang, Joey A. Contreras, John D. West, Shannon L. Risacher, Yang Wang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Li Shen
2017	—	`ed.`	Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings GRAIL/MFCA/MICGen@MICCAI M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer
2017	Misc	`conf`	Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>. PSB Jingwen Yan, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen
2017	J	`jnl`	Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinform. Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Daoqiang Zhang
2017	—	`conf`	Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach. IPMI Lei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Junwei Han, Lei Guo, Li Shen
2017	B	`conf`	Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. RECOMB Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2017	Misc	`conf`	Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. ICASSP Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Jason H. Moore, Andrew J. Saykin, Li Shen
2017	—	`conf`	Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations. ICHI Xia Ning, Titus Schleyer, Li Shen, Lang Li
2017	—	`conf`	Predicting High-Order Directional Drug-Drug Interaction Relations. ICHI Xia Ning, Li Shen, Lang Li
2017	—	`conf`	Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model. IPMI Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2017	Misc	`conf`	Session Introduction. PSB Li Shen, Lee A. D. Cooper
2017	J	`jnl`	Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinform. Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, Li Shen
2017	—	`conf`	Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. GRAIL/MFCA/MICGen@MICCAI Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen
2017	J	`jnl`	Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Informatics Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2016	—	`conf`	A New Statistical Image Analysis Approach and Its Application to Hippocampal Morphometry. MIAR Mark Inlow, Shan Cong, Shannon L. Risacher, John D. West, Maher E. Rizkalla, Paul Salama, Andrew J. Saykin, Li Shen
2016	—	`conf`	Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration. MWSCAS Shan Cong, Maher E. Rizkalla, Paul Salama, Shannon L. Risacher, John D. West, Yu-Chien Wu, Liana G. Apostolova, Eileen F. Tallman, Andrew J. Saykin, Li Shen
2016	Misc	`conf`	Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. PSB Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen
2016	J	`jnl`	Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen
2016	—	`conf`	Multigraph Visualization for Feature Classification of Brain Network Data. EuroVA@EuroVis Jiachen Wang, Shiaofen Fang, Huang Li, Joaquín Goñi, Andrew J. Saykin, Li Shen
2016	J	`jnl`	Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts. BioData Min. Ailin Song, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Aaron K. Wong, Andrew J. Saykin, Li Shen, Casey S. Greene
2016	A*	`conf`	New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. ICDM Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang
2016	—	`conf`	Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics. BIBM Lei Du, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen
2016	J	`jnl`	Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Syst. Biol. Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2016	J	`jnl`	Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. Bioinform. Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2015	J	`jnl`	Erratum to: Improving protein order-disorder classification using charge-hydropathy plots. BMC Bioinform. Fei Huang, Christopher J. Oldfield, Bin Xue, Wei-Lun Hsu, Jingwei Meng, Xiaowen Liu, Li Shen, Pedro Romero, Vladimir N. Uversky, A. Keith Dunker
2015	—	`conf`	GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. BIH Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2015	—	`conf`	Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. MICCAI (2) Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaquín Goñi Cortes, Yang Wang, Feiping Nie, John D. West, Andrew J. Saykin, Li Shen, Heng Huang
2015	—	`conf`	Integrated Visualization of Human Brain Connectome Data. BIH Huang Li, Shiaofen Fang, Joaquín Goñi, Joey A. Contreras, Yanhua Liang, Chengtao Cai, John D. West, Shannon L. Risacher, Yang Wang, Olaf Sporns, Andrew J. Saykin, Li Shen
2015	—	`conf`	Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer's disease. MWSCAS Shan Cong, Maher E. Rizkalla, Paul Salama, John D. West, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2015	J	`jnl`	The role of visualization and 3-D printing in biological data mining. BioData Min. Talia Weiss, Amanda L. Zieselman, Douglas P. Hill, Solomon Gilbert Diamond, Li Shen, Andrew J. Saykin, Jason H. Moore
2015	—	`conf`	Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations. BIH Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	—	`conf`	A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. MICCAI (3) Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	—	`conf`	Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data. XSEDE Jingwen Yan, Hui Zhang, Lei Du, Eric A. Wernert, Andrew J. Saykin, Li Shen
2014	—	`conf`	Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM. MWSCAS Shan Cong, Maher E. Rizkalla, Eliza Y. Du, John D. West, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2014	J	`jnl`	Computational genetics analysis of grey matter density in Alzheimer's disease. BioData Min. Amanda L. Zieselman, Jonathan M. Fisher, Ting Hu, Peter C. Andrews, Casey S. Greene, Li Shen, Andrew J. Saykin, Jason H. Moore
2014	—	`conf`	Data synthesis and method evaluation for brain imaging genetics. ISBI Jinhua Sheng, Sungeun Kim, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	—	`conf`	Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. MICCAI (3) De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang
2014	J	`jnl`	Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning. IEEE Trans. Medical Imaging Jing Wan, Zhilin Zhang, Bhaskar D. Rao, Shiaofen Fang, Jingwen Yan, Andrew J. Saykin, Li Shen
2014	J	`jnl`	Improving protein order-disorder classification using charge-hydropathy plots. BMC Bioinform. Fei Huang, Christopher J. Oldfield, Bin Xue, Wei-Lun Hsu, Jingwei Meng, Xiaowen Liu, Li Shen, Pedro Romero, Vladimir N. Uversky, A. Keith Dunker
2014	—	`conf`	Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning. ISBI Jingwen Yan, Heng Huang, Sungeun Kim, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	J	`jnl`	Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. Bioinform. Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher, Heng Huang, Jason H. Moore, Andrew J. Saykin, Li Shen
2013	—	`conf`	A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). MBIA Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho
2013	—	`conf`	A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. MICCAI (2) Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen
2013	—	`conf`	Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease. GPTP Jason H. Moore, Douglas P. Hill, Andrew J. Saykin, Li Shen
2013	—	`conf`	Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies. MICCAI (2) Derrek P. Hibar, Sarah E. Medland, Jason L. Stein, Sungeun Kim, Li Shen, Andrew J. Saykin, Greig I. de Zubicaray, Katie McMahon, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Srdjan Djurovic, Ingrid Agartz, Ole A. Andreassen, Paul M. Thompson
2013	J	`jnl`	Interactive object extraction by merging regions with k-global maximal similarity. Neurocomputing Taiyong Li, Zhilong Xie, Jiang Wu, Jingwen Yan, Li Shen
2013	—	`ed.`	Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings MBIA Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin
2013	—	`conf`	Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. MBIA Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2013	—	`conf`	PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease. MBIA Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Shanker Swaminathan, Karmen K. Yoder, Li Shen, John D. West, Brenna C. McDonald, Eileen F. Tallman, Gary D. Hutchins, James W. Fletcher, Martin R. Farlow, Bernardino Ghetti, Andrew J. Saykin
2013	—	`conf`	Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. IPMI De Wang, Feiping Nie, Heng Huang, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	J	`jnl`	A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's disease in the ADNI cohort. NeuroImage Shashwath A. Meda, Balaji Narayanan, Jingyu Liu, Nora I. Perrone-Bizzozero, Michael C. Stevens, Vince D. Calhoun, David C. Glahn, Li Shen, Shannon L. Risacher, Andrew J. Saykin, Godfrey D. Pearlson
2012	J	`jnl`	Erratum to "A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's Disease in the ADNI cohort" [Neuroimage 60/3(2012) 1608-1621]. NeuroImage Shashwath A. Meda, Balaji Narayanan, Jingyu Liu, Nora I. Perrone-Bizzozero, Michael C. Stevens, Vince D. Calhoun, David C. Glahn, Li Shen, Shannon L. Risacher, Andrew J. Saykin, Godfrey D. Pearlson
2012	J	`jnl`	From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. Bioinform. Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	—	`conf`	High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. NIPS Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	J	`jnl`	Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. Bioinform. Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	J	`jnl`	Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Bioinform. Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	—	`ed.`	Multimodal Brain Image Analysis - Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012. Proceedings MBIA Pew-Thian Yap, Tianming Liu, Dinggang Shen, Carl-Fredrik Westin, Li Shen
2012	—	`conf`	Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. MBIA Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen
2012	—	`conf`	Pattern Visualization of Human Connectome Data. EuroVis (Short Papers) Yishi Guo, Yang Wang, Shiaofen Fang, Hongyang Chao, Andrew J. Saykin, Li Shen
2012	J	`jnl`	Principles of Computational Modeling in NeuroscienceDavid Sterratt, Bruce Graham, Andrew Gillies and David Willshaw. Briefings Bioinform. Li Shen
2012	A*	`conf`	Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. CVPR Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2011	—	`conf`	Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models. MICCAI (2) Jing Wan, Sungeun Kim, Mark Inlow, Kwangsik Nho, Shanker Swaminathan, Shannon L. Risacher, Shiaofen Fang, Michael W. Weiner, Mirza Faisal Beg, Lei Wang, Andrew J. Saykin, Li Shen
2011	—	`conf`	Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. MICCAI (3) Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2011	—	`conf`	Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. MBIA Li Shen, Sungeun Kim, Yuan (Alan) Qi, Mark Inlow, Shanker Swaminathan, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Leslie M. Shaw, John Q. Trojanowski, Michael W. Weiner, Andrew J. Saykin
2011	J	`jnl`	Regional reproducibility of pulsed arterial spin labeling perfusion imaging at 3T. NeuroImage Yang Wang, Andrew J. Saykin, Josef Pfeuffer, Chen Lin, Kristine M. Mosier, Li Shen, Sungeun Kim, Gary D. Hutchins
2011	A*	`conf`	Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen
2011	J	`jnl`	Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjects. NeuroImage Derrek P. Hibar, Jason L. Stein, Omid Kohannim, Neda Jahanshad, Andrew J. Saykin, Li Shen, Sungeun Kim, Nathan Pankratz, Tatiana Foroud, Matthew J. Huentelman, Steven G. Potkin, Clifford R. Jack Jr., Michael W. Weiner, Arthur W. Toga, Paul M. Thompson
2010	—	`conf`	A Framework for 3D Analysis of Facial Morphology in Fetal Alcohol Syndrome. MIAR Jing Wan, Li Shen, Shiaofen Fang, Jason McLaughlin, Ilona Autti-Rämö, Åse Fagerlund, Edward P. Riley, H. Eugene Hoyme, Elizabeth S. Moore, Tatiana Foroud
2010	J	`jnl`	Age-related neuroinflammation in non-demented elderly adults: Preliminary findings with the TSPO ligand [11C]PBR28. NeuroImage Karmen K. Yoder, Shannon L. Risacher, Tamiko R. MaGee, Brenna C. McDonald, Qi-Huang Zheng, Min Wang, Bruce H. Mock, John D. West, Li Shen, Gary D. Hutchins, Andrew J. Saykin
2010	J	`jnl`	Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease. NeuroImage Jason L. Stein, Xue Hua, Jonathan H. Morra, Suh Lee, Derrek P. Hibar, April J. Ho, Alex D. Leow, Arthur W. Toga, Jae Hoon Sul, Hyun Min Kang, Eleazar Eskin, Andrew J. Saykin, Li Shen, Tatiana Foroud, Nathan Pankratz, Matthew J. Huentelman, David W. Craig, Jill D. Gerber, April N. Allen, Jason J. Corneveaux, Dietrich A. Stephan, Jennifer Webster, Bryan M. DeChairo, Steven G. Potkin, Clifford R. Jack Jr., Michael W. Weiner, Paul M. Thompson
2010	—	`conf`	Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. MICCAI (3) Li Shen, Yuan (Alan) Qi, Sungeun Kim, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Andrew J. Saykin
2010	J	`jnl`	Voxelwise genome-wide association study (vGWAS). NeuroImage Jason L. Stein, Xue Hua, Suh Lee, April J. Ho, Alex D. Leow, Arthur W. Toga, Andrew J. Saykin, Li Shen, Tatiana Foroud, Nathan Pankratz, Matthew J. Huentelman, David W. Craig, Jill D. Gerber, April N. Allen, Jason J. Corneveaux, Bryan M. DeChairo, Steven G. Potkin, Michael W. Weiner, Paul M. Thompson, Alzheimer's Disease Neuroimaging Initiative
2010	J	`jnl`	Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort. NeuroImage Li Shen, Sungeun Kim, Shannon L. Risacher, Kwangsik Nho, Shanker Swaminathan, John D. West, Tatiana Foroud, Nathan Pankratz, Jason H. Moore, Chantel D. Sloan, Matthew J. Huentelman, David W. Craig, Bryan M. DeChairo, Steven G. Potkin, Clifford R. Jack Jr., Michael W. Weiner, Andrew J. Saykin
2009	C	`conf`	Data synthesis and tool development for exploring imaging genomic patterns. CIBCB Sungeun Kim, Li Shen, Andrew J. Saykin, John D. West
2009	J	`jnl`	Fourier method for large-scale surface modeling and registration. Comput. Graph. Li Shen, Sungeun Kim, Andrew J. Saykin
2009	—	`ch.`	Mining 3D Shape Data for Morphometric Pattern Discovery. Encyclopedia of Data Warehousing and Mining Li Shen, Fillia Makedon
2007	J	`jnl`	A Novel Surface Registration Algorithm With Biomedical Modeling Applications. IEEE Trans. Inf. Technol. Biomed. Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Andrew J. Saykin, Justin D. Pearlman
2007	—	`conf`	Efficient Registration of 3D SPHARM Surfaces. CRV Li Shen, Heng Huang, Fillia Makedon, Andrew J. Saykin
2007	C	`conf`	Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study. BIBE Li Shen, Andrew J. Saykin, Moo K. Chung, Heng Huang
2007	—	`conf`	Surface Harmonics for Shape Modeling. ICIP (2) Heng Huang, Li Shen
2007	J	`jnl`	Three-dimensional Models for Cardiac Bioelectricity Simulation: Cell to Organ. Simul. Heng Huang, Li Shen, Nha Nguyen
2007	J	`jnl`	Weighted Fourier Series Representation and Its Application to Quantifying the Amount of Gray Matter. IEEE Trans. Medical Imaging Moo K. Chung, Kim M. Dalton, Li Shen, Alan C. Evans, Richard J. Davidson
2006	—	`conf`	A Spatio-Temporal Modeling Method for Shape Representation. 3DPVT Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Justin D. Pearlman
2006	B	`conf`	Fast surface alignment for cardiac spatio-temporal modeling: application to ischemic cardiac shape modeling. Image Processing Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman
2006	—	`conf`	Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis. 3DPVT Heng Huang, Lei Zhang, Dimitris Samaras, Li Shen, Rong Zhang, Fillia Makedon, Justin D. Pearlman
2006	—	`conf`	Large-Scale Modeling of Parametric Surfaces Using Spherical Harmonics. 3DPVT Li Shen, Moo K. Chung
2006	—	`conf`	Multi-scale Voxel-Based Morphometry Via Weighted Spherical Harmonic Representation. MIAR Moo K. Chung, Li Shen, Kim M. Dalton, Richard J. Davidson
2006	—	`conf`	Shape Analysis and Spatio-Temporal Tracking of Mesoscale Eddies in Miami Isopycnic Coordinate Ocean Model. 3DPVT Veena Moolani, Ramprasad Balasubramanian, Li Shen, Amit Tandon
2006	—	`conf`	Spatio-temporal analysis tool for modeling pulmonary nodules in MR images. Image-Guided Procedures Li Shen, Heng Huang, James Ford, Chia-Hsin Lu, Ling Gao, Wei Zheng, Fillia Makedon, Justin D. Pearlman
2006	J	`jnl`	Spherical mapping for processing of 3D closed surfaces. Image Vis. Comput. Li Shen, Fillia Makedon
2005	A	`conf`	A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis. MICCAI Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman
2005	Misc	`conf`	A clustering-based approach for prediction of cardiac resynchronization therapy. SAC Heng Huang, Li Shen, Fillia Makedon, Sheng Zhang, Mark Greenberg, Ling Gao, Justin D. Pearlman
2005	—	`conf`	An interactive 3D visualization and manipulation tool for effective assessment of angiogenesis and arteriogenesis using computed tomographic angiography. Image-Guided Procedures Li Shen, Ling Gao, Zhenwu Zhuang, Ebo DeMuinck, Heng Huang, Fillia Makedon, Justin D. Pearlman
2005	B	`conf`	Functional analysis of cardiac MR images using SPHARM modeling. Image Processing Heng Huang, Li Shen, James Ford, Fillia Makedon, Rong Zhang, Ling Gao, Justin D. Pearlman
2005	—	`conf`	K-means+ Method for Improving Gene Selection for Classification of Microarray Data. CSB Workshops Heng Huang, Rong Zhang, Fei Xiong, Fillia Makedon, Li Shen, Bruce Hettleman, Justin D. Pearlman
2005	A	`conf`	Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis. MICCAI Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman
2004	J	`jnl`	A surface-based approach for classification of 3D neuroanatomic structures. Intell. Data Anal. Li Shen, James Ford, Fillia Makedon, Andrew J. Saykin
2004	—	`conf`	Data Brokers: Building Collections through Automated Negotiation. SETN Fillia Makedon, Song Ye, Sheng Zhang, James Ford, Li Shen, Sarantos Kapidakis
2004	—	`conf`	Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram. JCDL Yuhang Wang, Fillia Makedon, James Ford, Li Shen, Dina Q. Goldin
2004	B	`conf`	Shape-based discriminative analysis of combined bilateral hippocampi using multiple object alignment. Image Processing Li Shen, Fillia Makedon, Andrew J. Saykin
2004	—	`conf`	Spherical Parameterization for 3D Surface Analysis in Volumetric Images. ITCC (1) Li Shen, Fillia Makedon
2003	B	`conf`	A Spatio-temporal Multi-modal Data Management and Analysis Environment for Tracking MS Lesions. SSDBM Tilmann Steinberg, Yuhang Wang, Fillia Makedon, Li Shen, Andrew J. Saykin, Heather Wishart
2003	B	`conf`	Hippocampal shape analysis: surface-based representation and classification. Image Processing Li Shen, James Ford, Fillia Makedon, Andrew J. Saykin
2003	—	`conf`	Morphometric Analysis of Brain Structures for Improved Discrimination. MICCAI (2) Li Shen, James Ford, Fillia Makedon, Yuhang Wang, Tilmann Steinberg, Song Ye, Andrew J. Saykin
2003	—	`conf`	SCENS: A System for the Mediated Sharing of Sensitive Data. JCDL Song Ye, Fillia Makedon, Tilmann Steinberg, Li Shen, James Ford, Yuhang Wang, Yan Zhao, Sarantos Kapidakis
2002	—	`conf`	MetaDL: A Digital Library of Metadata for Sensitive or Complex Research Data. ECDL Fillia Makedon, James Ford, Li Shen, Tilmann Steinberg, Andrew J. Saykin, Heather Wishart, Sarantos Kapidakis
2000	J	`jnl`	Fast Association Discovery in Derivative Transaction Collections. Knowl. Inf. Syst. Li Shen, Hong Shen, Ling Cheng, Paul Pritchard
2000	—	`conf`	Mining the Most Interesting Web Access Associations. WebNet Li Shen, Ling Cheng, James Ford, Fillia Makedon, Vasileios Megalooikonomou, Tilmann Steinberg
1999	J	`jnl`	New Algorithms for Efficient Mining of Association Rules. Inf. Sci. Li Shen, Hong Shen, Ling Cheng
1998	C	`conf`	Mining Flexible Multiple-Level Association Rules in All Concept Hierarchies (Extended Abstract). DEXA Li Shen, Hong Shen