| Association between immune checkpoint inhibitors with cardiovascular events and atherosclerotic plaque ZD Drobni, RM Alvi, J Taron, A Zafar, SP Murphy, PK Rambarat, ... Circulation 142 (24), 2299-2311, 2020 | 325 | 2020 |
| Deep learning using chest radiographs to identify high-risk smokers for lung cancer screening computed tomography: development and validation of a prediction model MT Lu, VK Raghu, T Mayrhofer, HJWL Aerts, U Hoffmann Annals of Internal Medicine 173 (9), 704-713, 2020 | 84 | 2020 |
| Deep learning of the retina enables phenome-and genome-wide analyses of the microvasculature SM Zekavat, VK Raghu, M Trinder, Y Ye, S Koyama, MC Honigberg, Z Yu, ... Circulation 145 (2), 134-150, 2022 | 79 | 2022 |
| Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis AJ Sedgewick, K Buschur, I Shi, JD Ramsey, VK Raghu, DV Manatakis, ... Bioinformatics 35 (7), 1204-1212, 2019 | 69 | 2019 |
| Feasibility of lung cancer prediction from low-dose CT scan and smoking factors using causal models VK Raghu, W Zhao, J Pu, JK Leader, R Wang, J Herman, JM Yuan, ... Thorax 74 (7), 643-649, 2019 | 66 | 2019 |
| Comparison of strategies for scalable causal discovery of latent variable models from mixed data VK Raghu, JD Ramsey, A Morris, DV Manatakis, P Sprites, ... International journal of data science and analytics 6, 33-45, 2018 | 64 | 2018 |
| Evaluation of causal structure learning methods on mixed data types VK Raghu, A Poon, PV Benos Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, 48-65, 2018 | 61 | 2018 |
| Biomarker identification for statin sensitivity of cancer cell lines VK Raghu, CH Beckwitt, K Warita, A Wells, PV Benos, ZN Oltvai Biochemical and biophysical research communications 495 (1), 659-665, 2018 | 52 | 2018 |
| Deep learning to estimate biological age from chest radiographs VK Raghu, J Weiss, U Hoffmann, HJWL Aerts, MT Lu Cardiovascular Imaging 14 (11), 2226-2236, 2021 | 50 | 2021 |
| Pericardial disease in patients treated with immune checkpoint inhibitors J Gong, ZD Drobni, A Zafar, T Quinaglia, S Hartmann, HK Gilman, ... Journal for immunotherapy of cancer 9 (6), 2021 | 44 | 2021 |
| The incidence, risk factors, and outcomes with 5-fluorouracil–associated coronary vasospasm A Zafar, ZD Drobni, R Mosarla, RM Alvi, M Lei, UY Lou, VK Raghu, ... Cardio Oncology 3 (1), 101-109, 2021 | 41 | 2021 |
| Detection of high-frequency oscillations by hybrid depth electrodes in standard clinical intracranial EEG recordings ED Kondylis, TA Wozny, WJ Lipski, A Popescu, VJ DeStefino, B Esmaeili, ... Frontiers in neurology 5, 149, 2014 | 37 | 2014 |
| Integrated theory-and data-driven feature selection in gene expression data analysis VK Raghu, X Ge, PK Chrysanthis, PV Benos 2017 IEEE 33rd international conference on data engineering (ICDE), 1525-1532, 2017 | 27 | 2017 |
| Photoreceptor layer thinning is an early biomarker for age-related macular degeneration: epidemiologic and genetic evidence from UK Biobank OCT data SM Zekavat, S Sekimitsu, Y Ye, V Raghu, H Zhao, T Elze, AV Segrè, ... Ophthalmology 129 (6), 694-707, 2022 | 26 | 2022 |
| piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks DV Manatakis, VK Raghu, PV Benos Bioinformatics 34 (17), i848-i856, 2018 | 24 | 2018 |
| T-ReCS: stable selection of dynamically formed groups of features with application to prediction of clinical outcomes GT Huang, I Tsamardinos, V Raghu, N Kaminski, PV Benos Pacific Symposium on Biocomputing Co-Chairs, 431-442, 2014 | 17 | 2014 |
| CausalMGM: an interactive web-based causal discovery tool X Ge, VK Raghu, PK Chrysanthis, PV Benos Nucleic acids research 48 (W1), W597-W602, 2020 | 14 | 2020 |
| Validation of a deep learning–based model to predict lung cancer risk using chest radiographs and electronic medical record data VK Raghu, AS Walia, AN Zinzuwadia, RJ Goiffon, JAO Shepard, ... JAMA Network Open 5 (12), e2248793-e2248793, 2022 | 12 | 2022 |
| Deep learning to optimize candidate selection for lung cancer CT screening: advancing the 2021 USPSTF recommendations JH Lee, D Lee, MT Lu, VK Raghu, CM Park, JM Goo, SH Choi, H Kim Radiology 305 (1), 209-218, 2022 | 12 | 2022 |
| Deep learning analysis of chest radiographs to triage patients with acute chest pain syndrome M Kolossváry, VK Raghu, JT Nagurney, U Hoffmann, MT Lu Radiology 306 (2), e221926, 2023 | 11 | 2023 |
