| Deep learning predicts lung cancer treatment response from serial medical imaging Y Xu, A Hosny, R Zeleznik, C Parmar, T Coroller, I Franco, RH Mak, ... Clinical Cancer Research 25 (11), 3266-3275, 2019 | 515 | 2019 |
| Deep learning for lung cancer prognostication: a retrospective multi-cohort radiomics study A Hosny, C Parmar, TP Coroller, P Grossmann, R Zeleznik, A Kumar, ... PLoS medicine 15 (11), e1002711, 2018 | 507 | 2018 |
| Deep convolutional neural networks to predict cardiovascular risk from computed tomography R Zeleznik, B Foldyna, P Eslami, J Weiss, I Alexander, J Taron, C Parmar, ... Nature communications 12 (1), 715, 2021 | 159 | 2021 |
| Radiomics of coronary artery calcium in the Framingham Heart Study P Eslami, C Parmar, B Foldyna, JE Scholtz, A Ivanov, R Zeleznik, MT Lu, ... Radiology: Cardiothoracic Imaging 2 (1), e190119, 2020 | 33 | 2020 |
| Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer R Zeleznik, J Weiss, J Taron, C Guthier, DS Bitterman, C Hancox, ... NPJ digital medicine 4 (1), 43, 2021 | 19 | 2021 |
| Elevated coronary artery calcium quantified by a validated deep learning model from lung cancer radiotherapy planning scans predicts mortality KM Atkins, J Weiss, R Zeleznik, DS Bitterman, TL Chaunzwa, E Huynh, ... JCO clinical cancer informatics 6, e2100095, 2022 | 17 | 2022 |
| Deep learning–based detection of Intravenous contrast Enhancement on CT scans Z Ye, JM Qian, A Hosny, R Zeleznik, D Plana, J Likitlersuang, Z Zhang, ... Radiology: Artificial Intelligence 4 (3), e210285, 2022 | 16 | 2022 |
| The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer SC Kamran, T Coroller, N Milani, V Agrawal, EH Baldini, AB Chen, ... Radiation Oncology 15, 1-10, 2020 | 10 | 2020 |
| Epicardial adipose tissue in patients with stable chest pain: insights from the PROMISE trial B Foldyna, R Zeleznik, P Eslami, T Mayrhofer, M Ferencik, DO Bittner, ... Cardiovascular Imaging 13 (10), 2273-2275, 2020 | 6 | 2020 |
| Benchmarking omics-based prediction of asthma development in children XW Wang, T Wang, DP Schaub, C Chen, Z Sun, S Ke, J Hecker, ... Respiratory Research 24 (1), 63, 2023 | 4 | 2023 |
| Small whole heart volume predicts cardiovascular events in patients with stable chest pain: insights from the PROMISE trial B Foldyna, R Zeleznik, P Eslami, T Mayrhofer, JE Scholtz, M Ferencik, ... European radiology 31, 6200-6210, 2021 | 3 | 2021 |
| Deep learning-based assessment of hepatic steatosis on chest CT Z Zhang, J Weiss, J Taron, R Zeleznik, MT Lu, HJWL Aerts arXiv preprint arXiv:2202.02377, 2022 | 2 | 2022 |
| Deep learning based heart segmentation algorithm to improve radiation treatment planning R Zeleznik, J Weiss, J Taron, CV Guthier, C Hancox, DS Bitterman, ... International Journal of Radiation Oncology, Biology, Physics 108 (3), S118, 2020 | 2 | 2020 |
| Deep learning-based automated cardiac sub-structure contouring with dosimetric and clinical outcomes validation CV Guthier, E McKenzie, R Zeleznik, DS Bitterman, JS Bredfeldt, H Aerts, ... International Journal of Radiation Oncology, Biology, Physics 114 (3), S46-S47, 2022 | 1 | 2022 |
| Deep learning-based detection of intravenous contrast in computed tomography scans Z Ye, JM Qian, A Hosny, R Zeleznik, D Plana, J Likitlersuang, Z Zhang, ... arXiv preprint arXiv:2110.08424, 2021 | 1 | 2021 |
| Elevated coronary artery calcium quantified by a deep learning model from radiotherapy planning scans predicts mortality in lung cancer KM Atkins, J Weiss, R Zeleznik, TL Chaunzwa, U Hoffmann, H Aerts, ... International Journal of Radiation Oncology, Biology, Physics 105 (1), S72, 2019 | 1 | 2019 |
| Predicting meningioma tumor recurrence using radiogenomics data T Coroner, W Bi, N Greenwald, R Zeleznik, E Huynh, C Parmar, R Huang, ... Medical physics 45 (6), E678-E678, 2018 | 1 | 2018 |
| CT-Based Radiomic Biomarker Features Predict Prognosis in Patients with Limited Stage Small Cell Lung Cancer SC Kamran, TP Coroller, N Milani, V Agrawal, I Franco, N Chopra, ... International Journal of Radiation Oncology, Biology, Physics 99 (2), S12-S13, 2017 | 1 | 2017 |
| Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers B Foldyna, I Hadzic, R Zeleznik, MC Langenbach, VK Raghu, T Mayrhofer, ... Communications medicine 4 (1), 44, 2024 | | 2024 |
| Two-year Changes Of Epicardial Adipose Tissue Volume And Density Are Associated With Mortality In Lung Cancer Screening Population I Langenbach, I Hadzic, R Zeleznik, M Langenbach, D Maintz, ... Journal of Cardiovascular Computed Tomography 17 (4), S46-S47, 2023 | | 2023 |
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtU在 dfci.harvard.edu 的电子邮件经过验证
