| 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 | 176 | 2020 |
| 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 | 71 | 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 |
| Uncovering the Functional Link Between SHANK3 Deletions and Deficiency in Neurodevelopment Using iPSC-Derived Human Neurons G Huang, S Chen, X Chen, J Zheng, Z Xu, A Doostparast Torshizi, S Gong, ... Frontiers in neuroanatomy 13, 23, 2019 | 47 | 2019 |
| A boosted ensemble algorithm for determination of plaque stability in high-risk patients on coronary CTA SJ Al’Aref, G Singh, JW Choi, Z Xu, G Maliakal, AR van Rosendael, ... Cardiovascular Imaging 13 (10), 2162-2173, 2020 | 40 | 2020 |
| Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation G Singh, Y Hussain, Z Xu, E Sholle, K Michalak, K Dolan, BC Lee, ... PLoS One 15 (9), e0239934, 2020 | 37 | 2020 |
| Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning L Baskaran, SJ Al’Aref, G Maliakal, BC Lee, Z Xu, JW Choi, SE Lee, ... PloS one 15 (5), e0232573, 2020 | 33 | 2020 |
| Deep learning predicts chromosomal instability from histopathology images Z Xu, A Verma, U Naveed, SF Bakhoum, P Khosravi, O Elemento IScience 24 (5), 2021 | 27 | 2021 |
| Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory … L Baskaran, X Ying, Z Xu, SJ Al’Aref, BC Lee, SE Lee, I Danad, HB Park, ... PLoS One 15 (6), e0233791, 2020 | 19 | 2020 |
| 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 |
| Utilizing electronic health data and machine learning for the prediction of 30-day unplanned readmission or all-cause mortality in heart failure AN Beecy, M Gummalla, E Sholle, Z Xu, Y Zhang, K Michalak, K Dolan, ... Cardiovascular Digital Health Journal 1 (2), 71-79, 2020 | 13 | 2020 |
| Machine learning can aid in prediction of IDH mutation from H&E-stained histology slides in infiltrating gliomas B Liechty, Z Xu, Z Zhang, C Slocum, CD Bahadir, MR Sabuncu, ... Scientific Reports 12 (1), 22623, 2022 | 11 | 2022 |
| Using histopathology images to predict chromosomal instability in breast cancer: a deep learning approach Z Xu, A Verma, U Naveed, S Bakhoum, P Khosravi, O Elemento medRxiv, 2020.09. 23.20200139, 2020 | 5 | 2020 |
| Determinants of in-hospital mortality after percutaneous coronary intervention: a machine learning approach. J Am Heart Assoc. 2019; 8 (5): e011160 SJ Al'Aref, G Singh, AR van Rosendael, KK Kolli, X Ma, G Maliakal, ... | 5 | |
| Automatic segmentation of cardiovascular structures imaged on cardiac computed tomography angiography using deep learning L Baskaran, G Singh, Z Xu, B Lee, J Choi, U Gianni, A van Rosendael, ... Journal of the American College of Cardiology 75 (11_Supplement_1), 3497-3497, 2020 | 3 | 2020 |
| PhenoSV: interpretable phenotype-aware model for the prioritization of genes affected by structural variants Z Xu, Q Li, L Marchionni, K Wang Nature Communications 14 (1), 7805, 2023 | 1 | 2023 |
| Multi-omics biomarkers aid prostate cancer prognostication Z Xu, M Omar, E Benedetti, J Rosenthal, R Umeton, J Krumsiek, ... bioRxiv, 2022.09. 20.508244, 2022 | 1 | 2022 |
| Semi-Supervised, Attention-Based Deep Learning for Predicting TMPRSS2: ERG Fusion Status in Prostate Cancer Using Whole Slide Images M Omar, Z Xu, SB Rand, MK Alexanderani, DC Salles, I Valencia, ... Molecular Cancer Research, OF1-OF13, 2024 | | 2024 |
| Single-Cell Omics for Transcriptome CHaracterization (SCOTCH): isoform-level characterization of gene expression through long-read single-cell RNA sequencing Z Xu, HQ Qu, C Kao, H Hakonarson, K Wang bioRxiv, 2024.04. 29.590597, 2024 | | 2024 |
| MultiNEP: a multi-omics network enhancement framework for prioritizing disease genes and metabolites simultaneously Z Xu, L Marchionni, S Wang Bioinformatics 39 (6), btad333, 2023 | | 2023 |
Benjamin C. LeeWeill Cornell MedicineVerified email at med.cornell.edu
