| Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging SJ Al’Aref, K Anchouche, G Singh, PJ Slomka, KK Kolli, A Kumar, ... European heart journal 40 (24), 1975-1986, 2019 | 416 | 2019 |
| Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography … SJ Al’Aref, G Maliakal, G Singh, AR van Rosendael, X Ma, Z Xu, ... European heart journal 41 (3), 359-367, 2020 | 174 | 2020 |
| Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry AR van Rosendael, G Maliakal, KK Kolli, A Beecy, SJ Al’Aref, A Dwivedi, ... Journal of cardiovascular computed tomography 12 (3), 204-209, 2018 | 169 | 2018 |
| The transformational role of GPU computing and deep learning in drug discovery M Pandey, M Fernandez, F Gentile, O Isayev, A Tropsha, AC Stern, ... Nature Machine Intelligence 4 (3), 211-221, 2022 | 129 | 2022 |
| Machine learning in cardiac CT: basic concepts and contemporary data G Singh, SJ Al’Aref, M Van Assen, TS Kim, A van Rosendael, KK Kolli, ... Journal of Cardiovascular Computed Tomography 12 (3), 192-201, 2018 | 107 | 2018 |
| Determinants of in‐hospital mortality after percutaneous coronary intervention: a machine learning approach SJ Al'Aref, G Singh, AR van Rosendael, KK Kolli, X Ma, G Maliakal, ... Journal of the American Heart Association 8 (5), e011160, 2019 | 69 | 2019 |
| Identification and quantification of cardiovascular structures from CCTA: an end-to-end, rapid, pixel-wise, deep-learning method L Baskaran, G Maliakal, SJ Al’Aref, G Singh, Z Xu, K Michalak, K Dolan, ... Cardiovascular Imaging 13 (5), 1163-1171, 2020 | 65 | 2020 |
| Targeting SARS-CoV-2 papain-like protease in the postvaccine era AT Ton, M Pandey, JR Smith, F Ban, M Fernandez, A Cherkasov Trends in Pharmacological Sciences 43 (11), 906-919, 2022 | 28 | 2022 |
| Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing M Pandey, Z Xu, E Sholle, G Maliakal, G Singh, Z Fatima, D Larine, ... PLoS One 15 (7), e0236827, 2020 | 18 | 2020 |
| Differential progression of coronary atherosclerosis according to plaque composition: a cluster analysis of PARADIGM registry data YE Yoon, L Baskaran, BC Lee, MK Pandey, B Goebel, SE Lee, JM Sung, ... Scientific reports 11 (1), 17121, 2021 | 12 | 2021 |
| Ligand binding prediction using protein structure graphs and residual graph attention networks M Pandey, M Radaeva, H Mslati, O Garland, M Fernandez, M Ester, ... Molecules 27 (16), 5114, 2022 | 9 | 2022 |
| Large-scale virtual screening for the discovery of SARS-CoV-2 papain-like protease (PLpro) non-covalent inhibitors O Garland, AT Ton, S Moradi, JR Smith, S Kovacic, K Ng, M Pandey, ... Journal of Chemical Information and Modeling 63 (7), 2158-2169, 2023 | 8 | 2023 |
| Deep learning based automatic segmentation of cardiac computed tomography G Singh, S Alaref, G Maliakal, M Pandey, A van Rosendael, B Lee, ... Journal of the American College of Cardiology 73 (9S1), 1643-1643, 2019 | 5 | 2019 |
| Novel Inhibitors of androgen receptor's DNA binding domain identified using an ultra‐large virtual screening M Radaeva, H Morin, M Pandey, F Ban, M Guo, E LeBlanc, N Lallous, ... Molecular Informatics 42 (8-9), 2300026, 2023 | 1 | 2023 |
| Graph machine learning in drug discovery M Pandey, A Hamidizadeh, M Radaeva, M Fernandez, M Ester, ... Cheminformatics, QSAR and Machine Learning Applications for Novel Drug …, 2023 | 1 | 2023 |
| PurificationDB: database of purification conditions for proteins O Garland, M Radaeva, M Pandey, A Cherkasov, N Lallous Database 2023, baad016, 2023 | 1 | 2023 |
| TacoGFN: Target Conditioned GFlowNet for Drug Design T Shen, M Pandey, M Ester NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023 | | 2023 |
| TacoGFN: Target Conditioned GFlowNet for Structure-Based Drug Design T Shen, M Pandey, M Ester arXiv preprint arXiv:2310.03223, 2023 | | 2023 |
| Deep Learning Model for Prediction of Compound Activities Over a Panel of Major Toxicity-Related Proteins M Radaeva, M Pandey, H MsLati, A Cherkasov Machine Learning and Deep Learning in Computational Toxicology, 579-593, 2023 | | 2023 |
| PROTACable is an Integrative Computational Pipeline of 3-D Modeling and Deep Learning to Automate the De Novo Design of PROTACs H Mslati, F Gentile, M Pandey, F Ban, A Cherkasov bioRxiv, 2023.11. 20.567951, 2023 | | 2023 |
Gabriel Thomas MaliakalMichigan State UniversityVerified email at msu.edu
