Mohammadhadi Khorrami
Mohammadhadi Khorrami
Geverifieerd e-mailadres voor emory.edu
Geciteerd door
Geciteerd door
Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas
N Beig, M Khorrami, M Alilou, P Prasanna, N Braman, M Orooji, S Rakshit, ...
Radiology 290 (3), 783-792, 2019
Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non–small cell lung cancer
M Khorrami, P Prasanna, A Gupta, P Patil, PD Velu, R Thawani, ...
Cancer immunology research 8 (1), 108-119, 2020
Combination of peri-and intratumoral radiomic features on baseline CT scans predicts response to chemotherapy in lung adenocarcinoma
M Khorrami, M Khunger, A Zagouras, P Patil, R Thawani, K Bera, P Rajiah, ...
Radiology: Artificial Intelligence 1 (2), 180012, 2019
Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade
P Vaidya, K Bera, PD Patil, A Gupta, P Jain, M Alilou, M Khorrami, ...
Journal for Immunotherapy of Cancer 8 (2), 2020
Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features
M Khorrami, P Jain, K Bera, M Alilou, R Thawani, P Patil, U Ahmad, ...
Lung Cancer 135, 1-9, 2019
Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study
M Khorrami, K Bera, P Leo, P Vaidya, P Patil, R Thawani, P Velu, P Rajiah, ...
Lung Cancer 142, 90-97, 2020
Combination of computer extracted shape and texture features enables discrimination of granulomas from adenocarcinoma on chest computed tomography
M Orooji, M Alilou, S Rakshit, N Beig, MH Khorrami, P Rajiah, R Thawani, ...
Journal of Medical Imaging 5 (2), 024501-024501, 2018
Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab
K Jazieh, M Khorrami, A Saad, M Gad, A Gupta, P Patil, VS Viswanathan, ...
Journal for ImmunoTherapy of Cancer 10 (3), 2022
Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans
M Khorrami, K Bera, R Thawani, P Rajiah, A Gupta, P Fu, P Linden, ...
European Journal of Cancer 148, 146-158, 2021
Novel non-invasive radiomic signature on CT scans predicts response to platinum-based chemotherapy and is prognostic of overall survival in small cell lung cancer
P Jain, M Khorrami, A Gupta, P Rajiah, K Bera, VS Viswanathan, P Fu, ...
Frontiers in Oncology 11, 744724, 2021
A combination of intra-and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint …
M Khorrami, M Alilou, P Prasanna, P Patil, P Velu, K Bera, P Fu, ...
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 191-199, 2019
Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival
M Alilou, P Vaidya, M Khorrami, A Zagouras, P Patil, K Bera, P Fu, ...
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 365-372, 2019
A tumor vasculature–based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors
M Alilou, M Khorrami, P Prasanna, K Bera, A Gupta, VS Viswanathan, ...
Science Advances 8 (47), eabq4609, 2022
Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers
N Braman, P Prasanna, K Bera, M Alilou, M Khorrami, P Leo, M Etesami, ...
Clinical Cancer Research 28 (20), 4410-4424, 2022
Novel imaging biomarkers predict progression-free survival in stage 3 NSCLC treated with chemoradiation and durvalumab.
K Jazieh, M Khorrami, AM Saad, MM Gad, VS Viswanathan, P Fu, ...
Journal of Clinical Oncology 39 (15_suppl), 3054-3054, 2021
MA 17.11 prediction of response to trimodality therapy using CT-derived radiomic features in stage III non-small cell lung cancer (NSCLC)
P Jain, U Ahmad, S Murthy, K Stephans, M Khorrami, A Madabhushi, ...
Journal of Thoracic Oncology 12 (11), S1875, 2017
Predicting disease recurrence following trimodality therapy in non-small cell lung cancer using computed tomography derived radiomic features and clinico-pathologic features
A Madabhushi, M Khorrami, V Velcheti
US Patent 10,441,225, 2019
P2. 04-17 pre-therapy radiomic features can distinguish hyperprogression from other response patterns to PD1/PD-L1 inhibitors in NSCLC
P Patil, K Bera, P Vaidya, M Khorrami, P Jain, A Madabhushi, V Velcheti
Journal of Thoracic Oncology 13 (10), S737, 2018
Combination of quantitative features from H&E biopsies and CT scans predicts response to chemotherapy and overall survival in small cell lung cancer (SCLC).
C Barrera, M Khorrami, P Jain, P Fu, K Butler, A Osme, P Toro, ...
Journal of Clinical Oncology 39 (15_suppl), 8572-8572, 2021
P68. 02 computer extracted morphology features of tumor nuclei predict response to chemotherapy and prognostic of OS in small cell lung cancer
P Jain, C Barrera, A Osme, PA Toro, S Chahar, K Butler, M Khorrami, P Fu, ...
Journal of Thoracic Oncology 16 (3), S560, 2021
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