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Roman Zeleznik
Roman Zeleznik
Post Doc, Brigham and Women's Hospital, Harvard Medical School
Geverifieerd e-mailadres voor bwh.harvard.edu
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Jaar
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
4772018
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
1382021
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
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
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
132022
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
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Artikelen 1–20