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ORCIDLi Shen 0001
Person information
- affiliation: University of Pennsylvania, Philadelphia, USA
- affiliation (2007 - 2017): Indiana University School of Medicine, Indianapolis, IN, USA
- affiliation (2004 - 2007): University of Massachusetts Dartmouth, MA, USA
- affiliation (PhD 2004): Dartmouth College, Hanover, NH, USA
Other persons with the same name
- Li Shen — disambiguation page
- Li Shen 0002 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Li Shen 0003 — Institute for Infocomm Research, Singapore
- Li Shen 0004
![[0000-0003-4638-3329]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4638-3329")
— Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu, China (and 1 more) - Li Shen 0005 — Alibaba Group, Beijing, China (and 3 more)
- Li Shen 0006 — Osaka University, Graduate School of Information Science and Technology, Japan
- Li Shen 0007 — National University of Defense Technology, School of Computer, Changsha, Hunan, China
- Li Shen 0008 — JD Explore Academy, Beijing, China (and 2 more)
- Li Shen 0009 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Li Shen 0010 — Huazhong University of Science and Technology, School of Optical and Electronic Information, Wuhan, China
- Li Shen 0011 — Beijing Institute of Remote Sensing, China
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2020 – today
- 2025
[j77]Selena Wang, Yiting Wang, Frederick H. Xu, Li Shen, Yize Zhao:
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling. Medical Image Anal. 99: 103309 (2025)- 2024
- [j76]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:
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 97: 103231 (2024) - [c131]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:
Integrative Analysis of Amyloid Imaging and Genetics Reveals Subtypes of Alzheimer Progression in Early Stage. AIME (2) 2024: 204-211 - [c130]Davoud Ataee Tarzanagh, Parvin Nazari, Bojian Hou, Li Shen, Laura Balzano:
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. AISTATS 2024: 2854-2862 - [c129]Duy Duong-Tran, Mark Magsino, Joaquín Goñi, Li Shen:
Preserving Human Large-Scale Brain Connectivity Fingerprint Identifiability with Random Projections. ISBI 2024: 1-5 - [c128]Lina Takemaru, Shu Yang, Ruiming Wu, Bing He, Christos Davtzikos, Jingwen Yan, Li Shen:
Mapping Alzheimer's Disease Pseudo-Progression With Multimodal Biomarker Trajectory Embeddings. ISBI 2024: 1-5 - [c127]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:
Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits. ISBI 2024: 1-5 - [c126]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:
Volume-Optimal Persistence Homological Scaffolds of Hemodynamic Networks Covary with MEG Theta-Alpha Aperiodic Dynamics. MICCAI (3) 2024: 519-529 - [i20]Diego Machado Reyes, Hanqing Chao, Juergen Hahn, Li Shen, Pingkun Yan:
Multimodal Neurodegenerative Disease Subtyping Explained by ChatGPT. CoRR abs/2402.00137 (2024) - [i19]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:
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR abs/2405.04819 (2024) - [i18]Duy M. H. Nguyen, An T. Le, Trung Q. Nguyen, Nghiem T. Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag:
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. CoRR abs/2407.04489 (2024) - [i17]Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J. Su, Li Shen:
Fine-Tuning Linear Layers Only Is a Simple yet Effective Way for Task Arithmetic. CoRR abs/2407.07089 (2024) - [i16]Duy Duong-Tran, Siqing Wei, Li Shen:
Theorizing neuro-induced relationships between cognitive diversity, motivation, grit and academic performance in multidisciplinary engineering education context. CoRR abs/2407.17584 (2024) - [i15]Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen:
Fairness-Aware Estimation of Graphical Models. CoRR abs/2408.17396 (2024) - [i14]Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen:
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models. CoRR abs/2410.01795 (2024) - [i13]Tianyi Wei, Shu Yang, Davoud Ataee Tarzanagh, Jingxuan Bao, Jia Xu, Patryk Orzechowski, Joost B. Wagenaar, Qi Long, Li Shen:
Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion. CoRR abs/2410.03937 (2024) - 2023
- [j75]Jingxuan Bao, Changgee Chang, Qiyiwen Zhang, Andrew J. Saykin, Li Shen, Qi Long:
Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis. Briefings Bioinform. 24(2) (2023) - [j74]Jingxuan Bao, Junhao Wen, Zixuan Wen, Shu Yang, Yuhan Cui, Zhijian Yang, Güray Erus, Andrew J. Saykin, Qi Long, Christos Davatzikos, Li Shen:
Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease. NeuroImage 280: 120346 (2023) - [c125]Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen:
Multi-Group Tensor Canonical Correlation Analysis. BCB 2023: 12:1-12:10 - [c124]Houliang Zhou, Yu Zhang, Lifang He, Li Shen, Brian Y. Chen:
Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging Genetics. BIBM 2023: 1004-1007 - [c123]Rong Zhou, Houliang Zhou, Li Shen, Brian Y. Chen, Yu Zhang, Lifang He:
Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging Genetics. BIBM 2023: 1806-1811 - [c122]Daniele Pala, Yuezhi Xie, Jia Xu, Yuqin Zhang, Li Shen:
Causal Effects of Environmental Exposures and Biological Traits on the Difference between Phenotypic and Chronological Ages. BIBM 2023: 4382-4388 - [c121]Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen:
Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 227-240 - [c120]Rong Zhou, Houliang Zhou, Brian Y. Chen, Li Shen, Yu Zhang, Lifang He:
Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics. MICCAI (2) 2023: 681-691 - [c119]Zexuan Wang, Jiong Chen, Wenxi Yang, Sumita Garai, Frederick H. Xu, Junhao Wen, Christos Davatzikos, Li Shen:
Shape analysis of amygdala atrophy using SPHARM-OT. Medical Imaging: Image Processing 2023 - [c118]Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen:
Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. MLMI@MICCAI (2) 2023: 144-154 - [c117]Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen:
Fair Canonical Correlation Analysis. NeurIPS 2023 - [c116]Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen:
Fairness-aware class imbalanced learning on multiple subgroups. UAI 2023: 2123-2133 - [i12]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:
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR abs/2301.10772 (2023) - [i11]Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson:
Incomplete Multimodal Learning for Complex Brain Disorders Prediction. CoRR abs/2305.16222 (2023) - [i10]Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen:
Fair Canonical Correlation Analysis. CoRR abs/2309.15809 (2023) - [i9]Shunian Xiang, Patrick J. Lawrence, Bo Peng, Chienwei Chiang, Dokyoon Kim, Li Shen, Xia Ning:
Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing. CoRR abs/2310.15211 (2023) - 2022
- [j73]Chong Jin, Brian Lee, Li Shen, Qi Long:
Integrating multi-omics summary data using a Mendelian randomization framework. Briefings Bioinform. 23(6) (2022) - [j72]Hung Mai, Jingxuan Bao, Paul M. Thompson, Dokyoon Kim, Li Shen:
Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data. BMC Bioinform. 23-S(3): 398 (2022) - [j71]Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen:
Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment. BMC Bioinform. 23-S(3): 402 (2022) - [j70]Peng Yang, Cheng Zhao, Qiong Yang, Zheng Wei, Xiaohua Xiao, Li Shen, Tianfu Wang, Baiying Lei, Ziwen Peng:
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network. Medical Image Anal. 75: 102244 (2022) - [j69]Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore, Qi Long, Li Shen:
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics. Medical Image Anal. 76: 102297 (2022) - [c115]Diego Machado Reyes, Mansu Kim, Hanqing Chao, Li Shen, Pingkun Yan:
Connectome transformer with anatomically inspired attention for Parkinson's diagnosis. BCB 2022: 35:1-35:4 - [c114]Diego Machado Reyes, Mansu Kim, Hanqing Chao, Juergen Hahn, Li Shen, Pingkun Yan:
Genomics transformer for diagnosing Parkinson's disease. BHI 2022: 1-4 - [c113]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:
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. BIBM 2022: 541-548 - [c112]Jun Yu, Benjamin Zalatan, Yong Chen, Li Shen, Lifang He:
Tensor-Based Multi-Modal Multi-Target Regression for Alzheimer's Disease Prediction. BIBM 2022: 639-646 - [c111]Zexuan Wang, Wenxi Yang, Katharine Ryan, Sumita Garai, Benjamin M. Auerbach, Li Shen:
Using Optimal Transport to Improve Spherical Harmonic Quantification of Complex Biological Shapes. BIBM 2022: 1255-1261 - [c110]Frederick H. Xu, Sumita Garai, Duy Duong-Tran, Andrew J. Saykin, Yize Zhao, Li Shen:
Consistency of Graph Theoretical Measurements of Alzheimer's Disease Fiber Density Connectomes Across Multiple Parcellation Scales. BIBM 2022: 1323-1328 - [c109]Daniele Pala, Brian Lee, Xia Ning, Dokyoon Kim, Li Shen:
Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease. BIBM 2022: 2667-2673 - [c108]Houliang Zhou, Lifang He, Yu Zhang, Li Shen, Brian Chen:
Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer's Disease Diagnosis. ISBI 2022: 1-5 - [c107]Houliang Zhou, Yu Zhang, Brian Y. Chen, Li Shen, Lifang He:
Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease. MICCAI (8) 2022: 469-478 - [c106]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:
Large-Scale Simulation of Quantum Computational Chemistry on a New Sunway Supercomputer. SC 2022: 14:1-14:14 - [i8]Houliang Zhou, Lifang He, Yu Zhang, Li Shen, Brian Chen:
Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis. CoRR abs/2204.13188 (2022) - [i7]Jun Yu, Zhaoming Kong, Liang Zhan, Li Shen, Lifang He:
Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis. CoRR abs/2209.11372 (2022) - 2021
- [j68]Mansu Kim, Jingxuan Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Jae Young Baik, Li Shen:
A structural enriched functional network: An application to predict brain cognitive performance. Medical Image Anal. 71: 102026 (2021) - [j67]Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Li Shen, Heng Huang:
Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions. IEEE Trans. Biomed. Eng. 68(11): 3336-3346 (2021) - [j66]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen:
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 227-239 (2021) - [j65]Meiling Wang, Wei Shao, Xiaoke Hao, Li Shen, Daoqiang Zhang:
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1549-1561 (2021) - [c105]Huang Li, Shiaofen Fang, Joaquín Goñi, Andrew J. Saykin, Li Shen:
Interactive Visualization of Deep Learning for 3D Brain Data Analysis. ICCI*CC 2021: 85-91 - [c104]Li Shen:
Brain imaging genetics: integrated analysis and machine learning. BIBM 2021: 1 - [c103]Mansu Kim, Jaesik Kim, Jeffrey Qu, Heng Huang, Qi Long, Kyung-Ah Sohn, Dokyoon Kim, Li Shen:
Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. BIBM 2021: 1381-1384 - [c102]Tananun Songdechakraiwut, Li Shen, Moo K. Chung:
Topological Learning and Its Application to Multimodal Brain Network Integration. MICCAI (2) 2021: 166-176 - [c101]Yize Zhao, Xiwen Zhao, Mansu Kim, Jingxuan Bao, Li Shen:
A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits. MICCAI (5) 2021: 678-687 - [i6]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:
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR abs/2110.11347 (2021) - 2020
- [j64]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:
Ideas for how informaticians can get involved with COVID-19 research. BioData Min. 13(1): 3 (2020) - [j63]Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen:
Regional imaging genetic enrichment analysis. Bioinform. 36(8): 2554-2560 (2020) - [j62]Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification. Bioinform. 36(Supplement-1): i371-i379 (2020) - [j61]Jin Li, Chenyuan Bian, Dandan Chen, Xianglian Meng, Haoran Luo, Hong Liang, Li Shen:
Effect of APOE ε4 on multimodal brain connectomic traits: a persistent homology study. BMC Bioinform. 21-S(21): 535 (2020) - [j60]Yan Guo, Li Shen, Xinghua Shi, Kai Wang, Yulin Dai, Zhongming Zhao:
Accelerating bioinformatics research with International Conference on Intelligent Biology and Medicine 2020. BMC Bioinform. 21-S(21): 563 (2020) - [j59]Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning:
Drug-drug interaction prediction based on co-medication patterns and graph matching. Int. J. Comput. Biol. Drug Des. 13(1): 36-57 (2020) - [j58]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:
Brain-wide structural connectivity alterations under the control of Alzheimer risk genes. Int. J. Comput. Biol. Drug Des. 13(1): 58-70 (2020) - [j57]Xiaojun Chen, Weijun Hong, Feiping Nie, Joshua Zhexue Huang, Li Shen:
Enhanced Balanced Min Cut. Int. J. Comput. Vis. 128(7): 1982-1995 (2020) - [j56]Xiaoke Hao, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, Shannon L. Risacher, Andrew J. Saykin, Xiaohui Yao, Li Shen:
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Anal. 60 (2020) - [j55]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen:
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach. Medical Image Anal. 61: 101656 (2020) - [j54]Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning:
Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data. BMC Medical Informatics Decis. Mak. 20(1): 319 (2020) - [j53]Xiaohui Yao, Tiffany Tsang, Qing Sun, Sara K. Quinney, Pengyue Zhang, Xia Ning, Lang Li, Li Shen:
Mining and visualizing high-order directional drug interaction effects using the FAERS database. BMC Medical Informatics Decis. Mak. 20-S(2): 50 (2020) - [j52]Li Shen, Xinghua Shi, Zhongming Zhao, Kai Wang:
Informatics and machine learning methods for health applications. BMC Medical Informatics Decis. Mak. 20-S(11): 342 (2020) - [j51]Manhua Liu, Fan Li, Hao Yan, Kundong Wang, Yixin Ma, Li Shen, Mingqing Xu:
A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease. NeuroImage 208: 116459 (2020) - [j50]Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu:
Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics 18(1): 43-57 (2020) - [j49]Li Shen, Paul M. Thompson:
Brain Imaging Genomics: Integrated Analysis and Machine Learning. Proc. IEEE 108(1): 125-162 (2020) - [j48]Lodewijk Brand, Kai Nichols, Hua Wang, Li Shen, Heng Huang:
Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction. IEEE Trans. Medical Imaging 39(6): 1845-1855 (2020) - [j47]Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Li Shen:
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method. IEEE Trans. Medical Imaging 39(11): 3416-3428 (2020) - [c100]Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen:
Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. AMIA 2020 - [c99]Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen:
Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. BIBE 2020: 308-314 - [c98]Jingxuan Bao, Mansu Kim, Qing Sun, Anderson T. Hara, Gerardo Maupome, Li Shen:
Estimating Hard-tissue Conditions from Dental Images via Machine Learning. BIBE 2020: 315-322 - [c97]Mansu Kim, Ji Hye Won, Jisu Hong, Junmo Kwon, Hyunjin Park, Li Shen:
Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinson's Disease. ISBI 2020: 1920-1923 - [c96]Jin Li, Chenyuan Bian, Dandan Chen, Xianglian Meng, Haoran Luo, Hong Liang, Li Shen:
Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification. MICCAI (7) 2020: 44-52 - [c95]Mansu Kim, Jingxaun Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Li Shen:
Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet. MLMI@MICCAI 2020: 292-302 - [c94]Peng Yang, Qiong Yang, Wei Zheng, Li Shen, Tianfu Wang, Ziwen Peng, Baiying Lei:
Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder. MICCAI (7) 2020: 603-612 - [c93]Lodewijk Brand, Kai Nichols, Hua Wang, Heng Huang, Li Shen:
Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model. PSB 2020: 7-18 - [i5]Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning:
Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. CoRR abs/2002.07699 (2020) - [i4]Kefei Liu, Qi Long, Li Shen:
Grouping effects of sparse CCA models in variable selection. CoRR abs/2008.03392 (2020)
2010 – 2019
- 2019
- [j46]Lei Du, Kefei Liu, Lei Zhu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort. Bioinform. 35(14): i474-i483 (2019) - [j45]Kefei Liu, Li Shen, Hui Jiang:
Joint between-sample normalization and differential expression detection through ℓ 0-regularized regression. BMC Bioinform. 20-S(16): 593:1-593:16 (2019) - [j44]Kefei Liu, Jieping Ye, Yang Yang, Li Shen, Hui Jiang:
A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 442-454 (2019) - [j43]Xiaoke Hao, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Jintai Yu, Huifu Wang, Lan Tan, Li Shen, Daoqiang Zhang:
Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1986-1996 (2019) - [j42]Danai Chasioti, Xiaohui Yao, Pengyue Zhang, Samuel Lerner, Sara K. Quinney, Xia Ning, Lang Li, Li Shen:
Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database. IEEE J. Biomed. Health Informatics 23(5): 2156-2163 (2019) - [c92]Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning:
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. BHI 2019: 1-4 - [c91]Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen:
Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis. BHI 2019: 1-4 - [c90]Moo K. Chung, Shih-Gu Huang, Andrey Gritsenko, Li Shen, Hyekyoung Lee:
Statistical Inference on the Number of Cycles in Brain Networks. ISBI 2019: 113-116 - [c89]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. ISBI 2019: 356-359 - [c88]Moo K. Chung, Linhui Xie, Shih-Gu Huang, Yixian Wang, Jingwen Yan, Li Shen:
Rapid Acceleration of the Permutation Test via Transpositions. CNI@MICCAI 2019: 42-53 - [c87]Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning:
Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank. MBIA/MFCA@MICCAI 2019: 139-148 - [c86]Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Heng Huang, Li Shen:
Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments over Progressions. MICCAI (4) 2019: 140-148 - [c85]Ayagoz Mussabayeva, Maxim Pisov, Anvar Kurmukov, Alexey Kroshnin, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris Gutman:
Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models. MBIA/MFCA@MICCAI 2019: 151-161 - [c84]Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. MICCAI (4) 2019: 447-455 - [e5]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:
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. Lecture Notes in Computer Science 11846, Springer 2019, ISBN 978-3-030-33225-9 [contents] - [i3]Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning:
Drug-drug interaction prediction based on co-medication patterns and graph matching. CoRR abs/1902.08675 (2019) - 2018
- [j41]Jingwen Yan, Shannon L. Risacher, Li Shen, Andrew J. Saykin:
Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data. Briefings Bioinform. 19(6): 1370-1381 (2018) - [j40]Lei Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics. Bioinform. 34(2): 278-285 (2018) - [j39]Xiaoqian Wang, Hong Chen, Jingwen Yan, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang:
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks. Bioinform. 34(17): i866-i874 (2018) - [j38]Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang:
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. J. Comput. Biol. 25(7): 809-824 (2018) - [j37]Wen-Hao Chiang, Titus Schleyer, Li Shen, Lang Li, Xia Ning:
Pattern Discovery from High-Order Drug-Drug Interaction Relations. J. Heal. Informatics Res. 2(3): 272-304 (2018) - [j36]Bob Zigon, Huang Li, Xiaohui Yao, Shiaofen Fang, Mohammad Al Hasan, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen:
GPU Accelerated Browser for Neuroimaging Genomics. Neuroinformatics 16(3-4): 393-402 (2018) - [c83]Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics. BIBM 2018: 356-361 - [c82]Kefei Liu, Li Shen, Hui Jian:
A Unified Model for Robust Differential Expression Analysis of RNA-Seq Data. BIBM 2018: 437-442 - [c81]Huang Li, Shiaofen Fang, Snehasis Mukhopadhyay, Andrew J. Saykin, Li Shen:
Interactive Machine Learning by Visualization: A Small Data Solution. IEEE BigData 2018: 3513-3521 - [c80]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:
Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. ISBI 2018: 6-9 - [c79]Lyujian Lu, Hua Wang, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning. ISBI 2018: 545-548 - [c78]Kai Liu, Hua Wang, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis. ISBI 2018: 1402-1405 - [c77]Linhui Xie, Enrico Amico, Paul Salama, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Jingwen Yan, Li Shen:
Heritability Estimation of Reliable Connectomic Features. CNI@MICCAI 2018: 58-66 - [c76]Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman:
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. ShapeMI@MICCAI 2018: 160-168 - [c75]Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. MICCAI (1) 2018: 555-562 - [c74]Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang:
Session introduction. PSB 2018: 304-306 - [e4]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:
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. Lecture Notes in Computer Science 11044, Springer 2018, ISBN 978-3-030-00688-4 [contents] - [i2]Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning:
Drug Recommendation toward Safe Polypharmacy. CoRR abs/1803.03185 (2018) - [i1]Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Dodonova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman:
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. CoRR abs/1808.04439 (2018) - 2017
- [j35]Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Daoqiang Zhang:
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinform. 33(14): i341-i349 (2017) - [j34]Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, Li Shen:
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinform. 33(20): 3250-3257 (2017) - [j33]Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Informatics 4(1): 27-37 (2017) - [j32]Huang Li, Shiaofen Fang, Joey A. Contreras, John D. West, Shannon L. Risacher, Yang Wang, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Li Shen:
Brain explorer for connectomic analysis. Brain Informatics 4(4): 253-269 (2017) - [c73]Huang Li, Shiaofen Fang, Bob Zigon, Olaf Sporns, Andrew J. Saykin, Joaquín Goñi, Li Shen:
BECA: A Software Tool for Integrated Visualization of Human Brain Data. BI 2017: 285-291 - [c72]Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Jason H. Moore, Andrew J. Saykin, Li Shen:
Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. ICASSP 2017: 6170-6174 - [c71]Xia Ning, Titus Schleyer, Li Shen, Lang Li:
Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations. ICHI 2017: 154-162 - [c70]Xia Ning, Li Shen, Lang Li:
Predicting High-Order Directional Drug-Drug Interaction Relations. ICHI 2017: 556-561 - [c69]Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang:
Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model. IPMI 2017: 198-209 - [c68]Lei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Junwei Han, Lei Guo, Li Shen:
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach. IPMI 2017: 543-555 - [c67]Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. GRAIL/MFCA/MICGen@MICCAI 2017: 210-219 - [c66]Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen:
Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. GRAIL/MFCA/MICGen@MICCAI 2017: 220-229 - [c65]Li Shen, Lee A. D. Cooper:
Session Introduction. PSB 2017: 51-57 - [c64]Jingwen Yan, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen:
Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>. PSB 2017: 94-104 - [c63]Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang:
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. RECOMB 2017: 287-302 - [e3]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:
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. Lecture Notes in Computer Science 10551, Springer 2017, ISBN 978-3-319-67674-6 [contents] - 2016
- [j31]Ailin Song, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Aaron K. Wong, Andrew J. Saykin, Li Shen, Casey S. Greene:
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts. BioData Min. 9: 3 (2016) - [j30]Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. Bioinform. 32(10): 1544-1551 (2016) - [j29]Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Syst. Biol. 10(S-3): 68 (2016) - [j28]Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen:
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics 14(4): 439-452 (2016) - [c62]Lei Du, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics. BIBM 2016: 707-711 - [c61]Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang:
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. ICDM 2016: 301-310 - [c60]Mark Inlow, Shan Cong, Shannon L. Risacher, John D. West, Maher E. Rizkalla, Paul Salama, Andrew J. Saykin, Li Shen:
A New Statistical Image Analysis Approach and Its Application to Hippocampal Morphometry. MIAR 2016: 302-310 - [c59]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:
Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration. MWSCAS 2016: 1-4 - [c58]Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen:
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. PSB 2016: 108-119 - [c57]Jiachen Wang, Shiaofen Fang, Huang Li, Joaquín Goñi, Andrew J. Saykin, Li Shen:
Multigraph Visualization for Feature Classification of Brain Network Data. EuroVA@EuroVis 2016: 61-65 - 2015
- [j27]Talia Weiss, Amanda L. Zieselman, Douglas P. Hill, Solomon Gilbert Diamond, Li Shen, Andrew J. Saykin, Jason H. Moore:
The role of visualization and 3-D printing in biological data mining. BioData Min. 8: 22 (2015) - [j26]Fei Huang, Christopher J. Oldfield, Bin Xue, Wei-Lun Hsu, Jingwei Meng, Xiaowen Liu, Li Shen, Pedro Romero, Vladimir N. Uversky, A. Keith Dunker:
Erratum to: Improving protein order-disorder classification using charge-hydropathy plots. BMC Bioinform. 16: 241:1-241:2 (2015) - [c56]Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations. BIH 2015: 115-124 - [c55]Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. BIH 2015: 275-284 - [c54]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:
Integrated Visualization of Human Brain Connectome Data. BIH 2015: 295-305 - [c53]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:
Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. MICCAI (2) 2015: 169-176 - [c52]Shan Cong, Maher E. Rizkalla, Paul Salama, John D. West, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer's disease. MWSCAS 2015: 1-4 - 2014
- [j25]Amanda L. Zieselman, Jonathan M. Fisher, Ting Hu, Peter C. Andrews, Casey S. Greene, Li Shen, Andrew J. Saykin, Jason H. Moore:
Computational genetics analysis of grey matter density in Alzheimer's disease. BioData Min. 7: 17 (2014) - [j24]Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher, Heng Huang, Jason H. Moore, Andrew J. Saykin, Li Shen:
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. Bioinform. 30(17): 564-571 (2014) - [j23]Fei Huang, Christopher J. Oldfield, Bin Xue, Wei-Lun Hsu, Jingwei Meng, Xiaowen Liu, Li Shen, Pedro Romero, Vladimir N. Uversky, A. Keith Dunker:
Improving protein order-disorder classification using charge-hydropathy plots. BMC Bioinform. 15(S-17): S4 (2014) - [j22]Jing Wan, Zhilin Zhang, Bhaskar D. Rao, Shiaofen Fang, Jingwen Yan, Andrew J. Saykin, Li Shen:
Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning. IEEE Trans. Medical Imaging 33(7): 1475-1487 (2014) - [c51]Jingwen Yan, Heng Huang, Sungeun Kim, Jason H. Moore, Andrew J. Saykin, Li Shen:
Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning. ISBI 2014: 665-668 - [c50]Jinhua Sheng, Sungeun Kim, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen:
Data synthesis and method evaluation for brain imaging genetics. ISBI 2014: 1202-1205 - [c49]De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang:
Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. MICCAI (3) 2014: 313-320 - [c48]Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. MICCAI (3) 2014: 329-336 - [c47]Shan Cong, Maher E. Rizkalla, Eliza Y. Du, John D. West, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM. MWSCAS 2014: 813-816 - [c46]Jingwen Yan, Hui Zhang, Lei Du, Eric A. Wernert, Andrew J. Saykin, Li Shen:
Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data. XSEDE 2014: 4:1-4:7 - 2013
- [j21]Taiyong Li, Zhilong Xie, Jiang Wu, Jingwen Yan, Li Shen:
Interactive object extraction by merging regions with k-global maximal similarity. Neurocomputing 120: 610-623 (2013) - [c45]Jason H. Moore, Douglas P. Hill, Andrew J. Saykin, Li Shen:
Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease. GPTP 2013: 31-45 - [c44]De Wang, Feiping Nie, Heng Huang, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. IPMI 2013: 536-547 - [c43]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:
PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease. MBIA 2013: 150-158 - [c42]Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho:
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). MBIA 2013: 159-169 - [c41]Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen:
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. MBIA 2013: 202-210 - [c40]Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen:
A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. MICCAI (2) 2013: 625-632 - [c39]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:
Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies. MICCAI (2) 2013: 690-697 - [e2]Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin:
Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings. Lecture Notes in Computer Science 8159, Springer 2013, ISBN 978-3-319-02125-6 [contents] - 2012
- [j20]Li Shen:
Principles of Computational Modeling in NeuroscienceDavid Sterratt, Bruce Graham, Andrew Gillies and David Willshaw. Briefings Bioinform. 13(3): 390-392 (2012) - [j19]Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Bioinform. 28(2): 229-237 (2012) - [j18]Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. Bioinform. 28(12): 127-136 (2012) - [j17]Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. Bioinform. 28(18): 619-625 (2012) - [j16]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:
A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's disease in the ADNI cohort. NeuroImage 60(3): 1608-1621 (2012) - [j15]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:
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 62(3): 2177 (2012) - [c38]Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. CVPR 2012: 940-947 - [c37]Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen:
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. MBIA 2012: 1-17 - [c36]Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. NIPS 2012: 1286-1294 - [c35]Yishi Guo, Yang Wang, Shiaofen Fang, Hongyang Chao, Andrew J. Saykin, Li Shen:
Pattern Visualization of Human Connectome Data. EuroVis (Short Papers) 2012 - [e1]Pew-Thian Yap, Tianming Liu, Dinggang Shen, Carl-Fredrik Westin, Li Shen:
Multimodal Brain Image Analysis - Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1-5, 2012. Proceedings. Lecture Notes in Computer Science 7509, Springer 2012, ISBN 978-3-642-33529-7 [contents] - 2011
- [j14]Yang Wang, Andrew J. Saykin, Josef Pfeuffer, Chen Lin, Kristine M. Mosier, Li Shen, Sungeun Kim, Gary D. Hutchins:
Regional reproducibility of pulsed arterial spin labeling perfusion imaging at 3T. NeuroImage 54(2): 1188-1195 (2011) - [j13]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:
Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjects. NeuroImage 56(4): 1875-1891 (2011) - [c34]Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen:
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV 2011: 557-562 - [c33]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:
Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. MBIA 2011: 27-34 - [c32]Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen:
Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. MICCAI (3) 2011: 115-123 - [c31]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:
Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models. MICCAI (2) 2011: 376-383 - 2010
- [j12]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:
Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease. NeuroImage 51(2): 542-554 (2010) - [j11]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:
Age-related neuroinflammation in non-demented elderly adults: Preliminary findings with the TSPO ligand [11C]PBR28. NeuroImage 52(Supplement-1): S33-S34 (2010) - [j10]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:
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 53(3): 1051-1063 (2010) - [j9]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:
Voxelwise genome-wide association study (vGWAS). NeuroImage 53(3): 1160-1174 (2010) - [c30]Jing Wan, Li Shen, Shiaofen Fang, Jason McLaughlin, Ilona Autti-Rämö, Åse Fagerlund, Edward P. Riley, H. Eugene Hoyme, Elizabeth S. Moore, Tatiana Foroud:
A Framework for 3D Analysis of Facial Morphology in Fetal Alcohol Syndrome. MIAR 2010: 118-127 - [c29]Li Shen, Yuan (Alan) Qi, Sungeun Kim, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Andrew J. Saykin:
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. MICCAI (3) 2010: 611-618
2000 – 2009
- 2009
- [j8]Li Shen, Sungeun Kim, Andrew J. Saykin:
Fourier method for large-scale surface modeling and registration. Comput. Graph. 33(3): 299-311 (2009) - [c28]Sungeun Kim, Li Shen, Andrew J. Saykin, John D. West:
Data synthesis and tool development for exploring imaging genomic patterns. CIBCB 2009: 298-305 - [r1]Li Shen, Fillia Makedon:
Mining 3D Shape Data for Morphometric Pattern Discovery. Encyclopedia of Data Warehousing and Mining 2009: 1236-1242 - 2007
- [j7]Heng Huang, Li Shen, Nha Nguyen:
Three-dimensional Models for Cardiac Bioelectricity Simulation: Cell to Organ. Simul. 83(4): 321-327 (2007) - [j6]Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Andrew J. Saykin, Justin D. Pearlman:
A Novel Surface Registration Algorithm With Biomedical Modeling Applications. IEEE Trans. Inf. Technol. Biomed. 11(4): 474-482 (2007) - [j5]Moo K. Chung, Kim M. Dalton, Li Shen, Alan C. Evans, Richard J. Davidson:
Weighted Fourier Series Representation and Its Application to Quantifying the Amount of Gray Matter. IEEE Trans. Medical Imaging 26(4): 566-581 (2007) - [c27]Li Shen, Andrew J. Saykin, Moo K. Chung, Heng Huang:
Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study. BIBE 2007: 211-217 - [c26]Li Shen, Heng Huang, Fillia Makedon, Andrew J. Saykin:
Efficient Registration of 3D SPHARM Surfaces. CRV 2007: 81-88 - [c25]Heng Huang, Li Shen:
Surface Harmonics for Shape Modeling. ICIP (2) 2007: 553-556 - 2006
- [j4]Li Shen, Fillia Makedon:
Spherical mapping for processing of 3D closed surfaces. Image Vis. Comput. 24(7): 743-761 (2006) - [c24]Li Shen, Moo K. Chung:
Large-Scale Modeling of Parametric Surfaces Using Spherical Harmonics. 3DPVT 2006: 294-301 - [c23]Heng Huang, Lei Zhang, Dimitris Samaras, Li Shen, Rong Zhang, Fillia Makedon, Justin D. Pearlman:
Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis. 3DPVT 2006: 381-388 - [c22]Veena Moolani, Ramprasad Balasubramanian, Li Shen, Amit Tandon:
Shape Analysis and Spatio-Temporal Tracking of Mesoscale Eddies in Miami Isopycnic Coordinate Ocean Model. 3DPVT 2006: 663-670 - [c21]Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Justin D. Pearlman:
A Spatio-Temporal Modeling Method for Shape Representation. 3DPVT 2006: 1034-1040 - [c20]Moo K. Chung, Li Shen, Kim M. Dalton, Richard J. Davidson:
Multi-scale Voxel-Based Morphometry Via Weighted Spherical Harmonic Representation. MIAR 2006: 36-43 - [c19]Li Shen, Heng Huang, James Ford, Chia-Hsin Lu, Ling Gao, Wei Zheng, Fillia Makedon, Justin D. Pearlman:
Spatio-temporal analysis tool for modeling pulmonary nodules in MR images. Medical Imaging: Image-Guided Procedures 2006: 61412I - [c18]Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman:
Fast surface alignment for cardiac spatio-temporal modeling: application to ischemic cardiac shape modeling. Medical Imaging: Image Processing 2006: 614434 - 2005
- [c17]Heng Huang, Rong Zhang, Fei Xiong, Fillia Makedon, Li Shen, Bruce Hettleman, Justin D. Pearlman:
K-means+ Method for Improving Gene Selection for Classification of Microarray Data. CSB Workshops 2005: 110-111 - [c16]Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman:
Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis. MICCAI 2005: 67-74 - [c15]Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman:
A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis. MICCAI 2005: 704-711 - [c14]Li Shen, Ling Gao, Zhenwu Zhuang, Ebo DeMuinck, Heng Huang, Fillia Makedon, Justin D. Pearlman:
An interactive 3D visualization and manipulation tool for effective assessment of angiogenesis and arteriogenesis using computed tomographic angiography. Medical Imaging: Image-Guided Procedures 2005 - [c13]Heng Huang, Li Shen, James Ford, Fillia Makedon, Rong Zhang, Ling Gao, Justin D. Pearlman:
Functional analysis of cardiac MR images using SPHARM modeling. Medical Imaging: Image Processing 2005 - [c12]Heng Huang, Li Shen, Fillia Makedon, Sheng Zhang, Mark Greenberg, Ling Gao, Justin D. Pearlman:
A clustering-based approach for prediction of cardiac resynchronization therapy. SAC 2005: 260-266 - 2004
- [j3]Li Shen, James Ford, Fillia Makedon, Andrew J. Saykin:
A surface-based approach for classification of 3D neuroanatomic structures. Intell. Data Anal. 8(6): 519-542 (2004) - [c11]Li Shen, Fillia Makedon:
Spherical Parameterization for 3D Surface Analysis in Volumetric Images. ITCC (1) 2004: 643-649 - [c10]Yuhang Wang, Fillia Makedon, James Ford, Li Shen, Dina Q. Goldin:
Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram. JCDL 2004: 202-211 - [c9]Li Shen, Fillia Makedon, Andrew J. Saykin:
Shape-based discriminative analysis of combined bilateral hippocampi using multiple object alignment. Medical Imaging: Image Processing 2004 - [c8]Fillia Makedon, Song Ye, Sheng Zhang, James Ford, Li Shen, Sarantos Kapidakis:
Data Brokers: Building Collections through Automated Negotiation. SETN 2004: 13-22 - 2003
- [c7]Song Ye, Fillia Makedon, Tilmann Steinberg, Li Shen, James Ford, Yuhang Wang, Yan Zhao, Sarantos Kapidakis:
SCENS: A System for the Mediated Sharing of Sensitive Data. JCDL 2003: 263- - [c6]Li Shen, James Ford, Fillia Makedon, Yuhang Wang, Tilmann Steinberg, Song Ye, Andrew J. Saykin:
Morphometric Analysis of Brain Structures for Improved Discrimination. MICCAI (2) 2003: 513-520 - [c5]Li Shen, James Ford, Fillia Makedon, Andrew J. Saykin:
Hippocampal shape analysis: surface-based representation and classification. Medical Imaging: Image Processing 2003 - [c4]Tilmann Steinberg, Yuhang Wang, Fillia Makedon, Li Shen, Andrew J. Saykin, Heather Wishart:
A Spatio-temporal Multi-modal Data Management and Analysis Environment for Tracking MS Lesions. SSDBM 2003: 245-246 - 2002
- [c3]Fillia Makedon, James Ford, Li Shen, Tilmann Steinberg, Andrew J. Saykin, Heather Wishart, Sarantos Kapidakis:
MetaDL: A Digital Library of Metadata for Sensitive or Complex Research Data. ECDL 2002: 374-389 - 2000
- [j2]Li Shen, Hong Shen, Ling Cheng, Paul Pritchard:
Fast Association Discovery in Derivative Transaction Collections. Knowl. Inf. Syst. 2(2): 147-160 (2000) - [c2]Li Shen, Ling Cheng, James Ford, Fillia Makedon, Vasileios Megalooikonomou, Tilmann Steinberg:
Mining the Most Interesting Web Access Associations. WebNet 2000: 489-494
1990 – 1999
- 1999
- [j1]Li Shen, Hong Shen, Ling Cheng:
New Algorithms for Efficient Mining of Association Rules. Inf. Sci. 118(1-4): 251-268 (1999) - 1998
- [c1]Li Shen, Hong Shen:
Mining Flexible Multiple-Level Association Rules in All Concept Hierarchies (Extended Abstract). DEXA 1998: 786-795
Coauthor Index
Joaquín Goñi
aka: Joaquín Goñi Cortes
aka: Joaquín Goñi Cortes
[c131] [c121] [j66] [j63] [j62] [j56] [j55] [j54] [j47] [c100] [i5] [j46] [j43] [c92] [c91] [c89] [c84] [j41] [j40] [j39] [j38] [c83] [c80] [c79] [c78] [c75] [j35] [j34] [j33] [j32] [c72] [c69] [c68] [c67] [c66] [c64] [c63] [j31] [j30] [j29] [j28] [c62] [c60] [c59] [c58] [c56] [c55] [c54] [c52] [j24] [c48] [c47] [c44] [c43] [c42] [c41] [j19] [j18] [j17] [j16] [j15] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [j11] [j10] [c29]
[j76] [c131] [j75] [j74] [c125] [c121] [c118] [j69] [c113] [c110] [j66] [c105] [i6] [j63] [j62] [j58] [j56] [j55] [j54] [j47] [c100] [i5] [j46] [j43] [c92] [c91] [c89] [c87] [c84] [j41] [j40] [j39] [j38] [j36] [c83] [c81] [c80] [c79] [c78] [c77] [c75] [j35] [j34] [j33] [j32] [c73] [c72] [c69] [c68] [c67] [c66] [c64] [c63] [j31] [j30] [j29] [j28] [c62] [c61] [c60] [c59] [c58] [c57] [j27] [c56] [c55] [c54] [c53] [c52] [j25] [j24] [j22] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [j19] [j18] [j17] [j16] [j15] [c38] [c37] [c36] [c35] [j14] [j13] [c34] [c33] [c32] [c31] [j12] [j11] [j10] [j9] [c29] [j8] [c28] [j6] [c27] [c26] [j3] [c9] [c6] [c5] [c4] [c3]
D. Ataee Tarzanagh
aka: Davoud Ataee Tarzanagh
aka: Davoud Ataee Tarzanagh
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