Follow
Roman Zeleznik
Roman Zeleznik
Post Doc, Brigham and Women's Hospital, Harvard Medical School
Verified email at bwh.harvard.edu
Title
Cited by
Cited by
Year
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
4862019
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
4782018
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
1392021
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
302020
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
162021
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
142022
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
142022
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
102020
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
52020
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
32023
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
32021
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
22022
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
22020
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
12022
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
12021
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
12019
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
12018
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
12017
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
The system can't perform the operation now. Try again later.
Articles 1–20