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Morteza Salehjahromi
Morteza Salehjahromi
Research Scientist, MD Anderson Cancer Center
Verified email at mdanderson.org
Title
Cited by
Cited by
Year
Tensor decomposition and non-local means based spectral CT image denoising
Y Zhang, M Salehjahromi, H Yu
Journal of X-ray Science and Technology 27 (3), 397-416, 2019
212019
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study
MB Saad, L Hong, M Aminu, NI Vokes, P Chen, M Salehjahromi, K Qin, ...
The Lancet Digital Health 5 (7), e404-e420, 2023
162023
CT imaging of gold nanoparticles in a human‐sized phantom
M Oumano, L Russell, M Salehjahromi, L Shanshan, N Sinha, W Ngwa, ...
Journal of applied clinical medical physics 22 (1), 337-342, 2021
132021
A new iterative algorithm for ring artifact reduction in CT using ring total variation
M Salehjahromi, Q Wang, Y Zhang, LA Gjesteby, D Harrison, G Wang, ...
Medical physics 46 (11), 4803-4815, 2019
132019
Iterative spectral CT reconstruction based on low rank and average-image-incorporated BM3D
M Salehjahromi, Y Zhang, H Yu
Physics in Medicine & Biology 63 (15), 155021, 2018
132018
A directional TV based ring artifact reduction method
M Salehjahromi, Q Wang, LA Gjesteby, D Harrison, G Wang, H Yu
Medical Imaging 2019: Physics of Medical Imaging 10948, 593-599, 2019
92019
Comparison study of regularizations in spectral computed tomography reconstruction
M Salehjahromi, Y Zhang, H Yu
Sensing and imaging 19, 1-23, 2018
92018
A spectral CT denoising algorithm based on weighted block matching 3D filtering
M Salehjahromi, Y Zhang, H Yu
Developments in X-Ray Tomography XI 10391, 65-76, 2017
92017
Habitat imaging biomarkers for diagnosis and prognosis in cancer patients infected with COVID-19
M Aminu, D Yadav, L Hong, E Young, P Edelkamp Jr, M Saad, ...
Cancers 15 (1), 275, 2022
42022
Cellular architecture on whole slide images allows the prediction of survival in lung adenocarcinoma
P Chen, MB Saad, FR Rojas, M Salehjahromi, M Aminu, ...
International Workshop on Computational Mathematics Modeling in Cancer …, 2022
42022
Refined locally linear transform-based spectral-domain gradient sparsity and its applications in spectral CT reconstruction
Q Wang, M Salehjahromi, H Yu
IEEE Access 9, 58537-58548, 2021
32021
Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis
S Diao, P Chen, E Showkatian, R Bandyopadhyay, FR Rojas, B Zhu, ...
Cancers 15 (19), 4824, 2023
22023
Comparison studies of different regularizers for spectral computed tomography
M Salehjahromi, Y Zhang, H Yu
Developments in X-Ray Tomography X 9967, 59-67, 2016
22016
Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept
M Salehjahromi, TV Karpinets, SJ Sujit, M Qayati, P Chen, M Aminu, ...
Cell Reports Medicine 5 (3), 2024
12024
Refined locally linear transform based spectral-domain gradient sparsity and its applications in spectral CT reconstruction
Q Wang, M Salehjahromi, H Yu
Medical Imaging 2019: Physics of Medical Imaging 10948, 679-685, 2019
12019
Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights
SJ Sujit, M Aminu, TV Karpinets, P Chen, MB Saad, M Salehjahromi, ...
Nature Communications 15 (1), 3152, 2024
2024
Pathomics reveals the molecular and immune evolution from lung preneoplasia to invasive adenocarcinoma
P Chen, F Rojas, X Hu, J Fujimoto, A Serrano, B Zhu, L Hong, ...
Cancer Research 83 (7_Supplement), 5443-5443, 2023
2023
Identification of Nodular Lymphocyte-Predominant Hodgkin Lymphoma Variant Morphology Using Artificial Intelligence
S El Hussein, P Chen, M Salehjahromi, H Fang, W Wang, S Loghavi, ...
Blood 140 (Supplement 1), 7836-7837, 2022
2022
Deep Learning CT Signature Predicts Benefit from Immunotherapy in Metastatic NSCLC Independent of Standard Clinicopathological Markers
MB Saad, L Hong, M Aminu, NI Vokes, P Chen, M Salehjahromi, K Qin, ...
2022
Optimization of Convolutional Autoencoder for Feature Extraction in Lung Cancer CTs
R Lee, M Salehjahromi, J Zhang, J Heymach, J Wu
The University of Texas MD Anderson Cancer Center, 2021
2021
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