| Federated learning for predicting clinical outcomes in patients with COVID-19 I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... Nature medicine 27 (10), 1735-1743, 2021 | 310 | 2021 |
| MRI tumor segmentation with densely connected 3D CNN L Chen, Y Wu, AM DSouza, AZ Abidin, A Wismüller, C Xu Medical Imaging 2018: Image Processing 10574, 357-364, 2018 | 134 | 2018 |
| Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage AZ Abidin, B Deng, AM DSouza, MB Nagarajan, P Coan, A Wismüller Computers in biology and medicine 95, 24-33, 2018 | 70 | 2018 |
| Alteration of brain network topology in HIV-associated neurocognitive disorder: a novel functional connectivity perspective AZ Abidin, AM DSouza, MB Nagarajan, L Wang, X Qiu, G Schifitto, ... NeuroImage: Clinical 17, 768-777, 2018 | 55 | 2018 |
| Exploring connectivity with large-scale Granger causality on resting-state functional MRI AM DSouza, AZ Abidin, L Leistritz, A Wismüller Journal of neuroscience methods 287, 68-79, 2017 | 55 | 2017 |
| Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI U Chockanathan, AM DSouza, AZ Abidin, G Schifitto, A Wismüller Computers in biology and medicine 106, 24-30, 2019 | 50 | 2019 |
| Federated Learning used for predicting outcomes in SARS-COV-2 patients M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, ... Research Square, 2021 | 39 | 2021 |
| Mutual connectivity analysis of resting-state functional MRI data with local models AM DSouza, AZ Abidin, U Chockanathan, G Schifitto, A Wismüller NeuroImage 178, 210-223, 2018 | 37 | 2018 |
| Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data A Wismüller, AM Dsouza, MA Vosoughi, A Abidin Scientific reports 11 (1), 7817, 2021 | 31 | 2021 |
| Nonlinear functional connectivity network recovery in the human brain with mutual connectivity analysis (MCA): convergent cross-mapping and non-metric clustering A Wismüller, AZ Abidin, AM D'Souza, X Wang, SK Hobbs, L Leistritz, ... Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and …, 2015 | 29 | 2015 |
| Using large-scale Granger causality to study changes in brain network properties in the clinically isolated syndrome (CIS) stage of multiple sclerosis AZ Abidin, U Chockanathan, AM DSouza, M Inglese, A Wismüller Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and …, 2017 | 26 | 2017 |
| Mutual connectivity analysis (MCA) for nonlinear functional connectivity network recovery in the human brain using convergent cross-mapping and non-metric clustering A Wismüller, AZ Abidin, AM DSouza, MB Nagarajan Advances in Self-Organizing Maps and Learning Vector Quantization …, 2016 | 25 | 2016 |
| Investigating a quantitative radiomics approach for brain tumor classification AZ Abidin, I Dar, AM D'Souza, EP Lin, A Wismüller Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and …, 2019 | 23 | 2019 |
| Characterizing trabecular bone structure for assessing vertebral fracture risk on volumetric quantitative computed tomography MB Nagarajan, WA Checefsky, AZ Abidin, H Tsai, X Wang, SK Hobbs, ... Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and …, 2015 | 21 | 2015 |
| Detecting cognitive impairment in HIV-infected individuals using mutual connectivity analysis of resting state functional MRI AZ Abidin, AM DSouza, G Schifitto, A Wismüller Journal of neurovirology 26, 188-200, 2020 | 20 | 2020 |
| Classification of autism spectrum disorder from resting-state fMRI with mutual connectivity analysis AM DSouza, AZ Abidin, A Wismüller Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and …, 2019 | 20 | 2019 |
| Investigating changes in brain network properties in HIV-associated neurocognitive disease (HAND) using Mutual Connectivity Analysis (MCA) AZ Abidin, AM D'Souza, MB Nagarajan, A Wismüller Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and …, 2016 | 17 | 2016 |
| Resilient modular small-world directed brain networks in healthy subjects with large-scale Granger causality analysis of resting-state functional MRI U Chockanathan, AZ Abidin, AM DSouza, G Schifitto, A Wismüller Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and …, 2018 | 16 | 2018 |
| Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta AZ Abidin, J Jameson, R Molthen, A Wismüller Medical Imaging 2017: Computer-Aided Diagnosis 10134, 270-277, 2017 | 16 | 2017 |
| Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data A Wismüller, AM DSouza, AZ Abidin arXiv preprint arXiv:2009.04681, 2020 | 15 | 2020 |
Udaysankar Chockanathan, Ph.D.University of Rochester Medical Scientist Training ProgramVerified email at urmc.rochester.edu
