| 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 | 278 | 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 | 224 | 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 | 93 | 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 | 75 | 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 | 60 | 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 | 36 | 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 | 32 | 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 | 30 | 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 | 23 | 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 | 19 | 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 | 13 | 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 | 11 | 2019 |
| 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 | 9 | 2022 |
| 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 | 8 | 2022 |
| 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 | 4 | 2017 |
| 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 | 3 | 2021 |
| 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 | 3 | 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 | 2 | 2018 |
| Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer M Khorrami, VS Viswanathan, P Reddy, N Braman, S Kunte, A Gupta, ... NPJ Breast Cancer 9 (1), 67, 2023 | 1 | 2023 |
| 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 | 1 | 2021 |
Anant MadabhushiDepartment of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia TechVerified email at emory.edu
