| Detecting genetic associations with brain imaging phenotypes in Alzheimer’s disease via a novel structured SCCA approach L Du, K Liu, X Yao, SL Risacher, J Han, AJ Saykin, L Guo, L Shen Medical image analysis 61, 101656, 2020 | 73 | 2020 |
| Semi-blind receivers for joint symbol and channel estimation in space-time-frequency MIMO-OFDM systems K Liu, JPCL da Costa, HC So, ALF de Almeida IEEE Transactions on Signal Processing 61 (21), 5444-5457, 2013 | 72 | 2013 |
| An eigenvalue-moment-ratio approach to blind spectrum sensing for cognitive radio under sample-starving environment L Huang, J Fang, K Liu, HC So, H Li IEEE Transactions on Vehicular Technology 64 (8), 3465-3480, 2015 | 71 | 2015 |
| Detection of number of components in CANDECOMP/PARAFAC models via minimum description length K Liu, JPCL da Costa, HC So, L Huang, J Ye Digital Signal Processing 51, 110-123, 2016 | 64 | 2016 |
| Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: A longitudinal study of the ADNI cohort L Du, K Liu, L Zhu, X Yao, SL Risacher, L Guo, AJ Saykin, L Shen, ... Bioinformatics 35 (14), i474-i483, 2019 | 56 | 2019 |
| Bayesian information criterion for source enumeration in large-scale adaptive antenna array L Huang, Y Xiao, K Liu, HC So, JK Zhang IEEE Transactions on Vehicular Technology 65 (5), 3018-3032, 2016 | 55 | 2016 |
| A novel SCCA approach via truncated ℓ 1-norm and truncated group lasso for brain imaging genetics L Du, K Liu, T Zhang, X Yao, J Yan, SL Risacher, J Han, L Guo, AJ Saykin, ... Bioinformatics 34 (2), 278-285, 2018 | 41 | 2018 |
| Multi-task sparse canonical correlation analysis with application to multi-modal brain imaging genetics L Du, K Liu, X Yao, SL Risacher, J Han, AJ Saykin, L Guo, L Shen IEEE/ACM transactions on computational biology and bioinformatics 18 (1 …, 2019 | 38 | 2019 |
| Associating multi-modal brain imaging phenotypes and genetic risk factors via a dirty multi-task learning method L Du, F Liu, K Liu, X Yao, SL Risacher, J Han, AJ Saykin, L Shen IEEE Transactions on Medical Imaging 39 (11), 3416-3428, 2020 | 37 | 2020 |
| Multidimensional prewhitening for enhanced signal reconstruction and parameter estimation in colored noise with Kronecker correlation structure JPCL da Costa, K Liu, HC So, S Schwarz, M Haardt, F Roemer Signal Processing 93 (11), 3209-3226, 2013 | 36 | 2013 |
| Identifying diagnosis-specific genotype–phenotype associations via joint multitask sparse canonical correlation analysis and classification L Du, F Liu, K Liu, X Yao, SL Risacher, J Han, L Guo, AJ Saykin, L Shen, ... Bioinformatics 36 (Supplement_1), i371-i379, 2020 | 31 | 2020 |
| Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules X Yao, J Yan, K Liu, S Kim, K Nho, SL Risacher, CS Greene, JH Moore, ... Bioinformatics 33 (20), 3250-3257, 2017 | 31 | 2017 |
| A structural enriched functional network: An application to predict brain cognitive performance M Kim, J Bao, K Liu, BY Park, H Park, JY Baik, L Shen Medical image analysis 71, 102026, 2021 | 23 | 2021 |
| Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics M Kim, EJ Min, K Liu, J Yan, AJ Saykin, JH Moore, Q Long, L Shen Medical Image Analysis 76, 102297, 2022 | 22 | 2022 |
| Core consistency diagnostic aided by reconstruction error for accurate enumeration of the number of components in PARAFAC models K Liu, HC So, JPCL da Costa, L Huang 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 22 | 2013 |
| Fast multi-task SCCA learning with feature selection for multi-modal brain imaging genetics L Du, K Liu, X Yao, SL Risacher, J Han, L Guo, AJ Saykin, L Shen, ... 2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018 | 19 | 2018 |
| Identifying associations between brain imaging phenotypes and genetic factors via a novel structured SCCA approach L Du, T Zhang, K Liu, J Yan, X Yao, SL Risacher, AJ Saykin, J Han, L Guo, ... 25th International Conference on Information Processing in Medical Imaging …, 2017 | 18 | 2017 |
| Subspace techniques for multidimensional model order selection in colored noise K Liu, JPCL da Costa, HC So, L Huang Signal Processing 93 (7), 1976-1987, 2013 | 17 | 2013 |
| Antenna array based positioning scheme for unmanned aerial vehicles MAM Marinho, RS Ferreira Júnior, JPCL da Costa, EP de Freitas, ... WSA 2013; 17th International ITG Workshop on Smart Antennas, 1-6, 2013 | 17 | 2013 |
| A unified model for joint normalization and differential gene expression detection in RNA-seq data K Liu, J Ye, Y Yang, L Shen, H Jiang IEEE/ACM transactions on computational biology and bioinformatics 16 (2 …, 2018 | 16 | 2018 |
Li ShenProfessor of Informatics and Radiology, University of Pennsylvania Perelman School of MedicineAdresă de e-mail confirmată pe pennmedicine.upenn.edu
