| Joint image reconstruction and sensitivity estimation in SENSE (JSENSE) L Ying, J Sheng Magnetic Resonance in Medicine: An Official Journal of the International …, 2007 | 352 | 2007 |
| Characteristics and variability of structural networks derived from diffusion tensor imaging H Cheng, Y Wang, J Sheng, WG Kronenberger, VP Mathews, TA Hummer, ... Neuroimage 61 (4), 1153-1164, 2012 | 135 | 2012 |
| Regularized sensitivity encoding (SENSE) reconstruction using Bregman iterations B Liu, K King, M Steckner, J Xie, J Sheng, L Ying Magnetic Resonance in Medicine: An Official Journal of the International …, 2009 | 131 | 2009 |
| Optimization of seed density in DTI tractography for structural networks H Cheng, Y Wang, J Sheng, O Sporns, WG Kronenberger, VP Mathews, ... Journal of neuroscience methods 203 (1), 264-272, 2012 | 76 | 2012 |
| A novel joint HCPMMP method for automatically classifying Alzheimer’s and different stage MCI patients J Sheng, B Wang, Q Zhang, Q Liu, Y Ma, W Liu, M Shao, B Chen Behavioural brain research 365, 210-221, 2019 | 69 | 2019 |
| Metabolomic imaging for human prostate cancer detection CL Wu, KW Jordan, EM Ratai, J Sheng, CB Adkins, EM DeFeo, ... Science translational medicine 2 (16), 16ra8-16ra8, 2010 | 67 | 2010 |
| An improved maximum likelihood approach to image reconstruction using ordered subsets and data subdivisions J Sheng, D Liu IEEE Transactions on nuclear science 51 (1), 130-135, 2004 | 34 | 2004 |
| Methods and apparatus for joint image reconstruction and coil sensitivity estimation in parallel MRI L Ying, J Sheng US Patent 7,777,487, 2010 | 33 | 2010 |
| Predictive classification of Alzheimer’s disease using brain imaging and genetic data J Sheng, Y Xin, Q Zhang, L Wang, Z Yang, J Yin Scientific Reports 12 (1), 2405, 2022 | 31 | 2022 |
| Alzheimer’s disease, mild cognitive impairment, and normal aging distinguished by multi-modal parcellation and machine learning J Sheng, M Shao, Q Zhang, R Zhou, L Wang, Y Xin Scientific Reports 10 (1), 5475, 2020 | 30 | 2020 |
| Integrated analysis of gene expression and copy number data on gene shaving using independent component analysis J Sheng, HW Deng, V Calhoun, YP Wang IEEE/ACM Transactions on computational biology and bioinformatics 8 (6 …, 2011 | 25 | 2011 |
| Identifying and characterizing different stages toward Alzheimer's disease using ordered core features and machine learning J Sheng, B Wang, Q Zhang, R Zhou, L Wang, Y Xin Heliyon 7 (6), 2021 | 24 | 2021 |
| Regularized SENSE reconstruction using iteratively refined total variation method B Liu, L Ying, M Steckner, J Xie, J Sheng 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2007 | 23 | 2007 |
| KerNL: Kernel-based nonlinear approach to parallel MRI reconstruction J Lyu, U Nakarmi, D Liang, J Sheng, L Ying IEEE transactions on medical imaging 38 (1), 312-321, 2018 | 22 | 2018 |
| Enhanced Harris hawks optimization-based fuzzy k-nearest neighbor algorithm for diagnosis of Alzheimer's disease Q Zhang, J Sheng, Q Zhang, L Wang, Z Yang, Y Xin Computers in Biology and Medicine 165, 107392, 2023 | 19 | 2023 |
| A hybrid multimodal machine learning model for Detecting Alzheimer's disease J Sheng, Q Zhang, Q Zhang, L Wang, Z Yang, Y Xin, B Wang Computers in Biology and Medicine 170, 108035, 2024 | 14 | 2024 |
| Improved spiral SENSE reconstruction using a multiscale wavelet model B Liu, E Abdelsalam, J Sheng, L Ying 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008 | 13 | 2008 |
| A review of imaging genetics in Alzheimer's disease Y Xin, J Sheng, M Miao, L Wang, Z Yang, H Huang Journal of clinical neuroscience 100, 155-163, 2022 | 12 | 2022 |
| A fast image reconstruction algorithm based on penalized-likelihood estimate J Sheng, L Ying Medical engineering & physics 27 (8), 679-686, 2005 | 12 | 2005 |
| Joint estimation of image and coil sensitivities in parallel spiral MRI J Sheng, L Ying, E Wiener, B Liu 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2007 | 11 | 2007 |
Leslie YingProfessor of Biomedical Engineering & Electrical Engineering, University at BuffaloΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα buffalo.edu
