| 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 | 302 | 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 | 251 | 2020 |
| 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 | 86 | 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 | 67 | 2019 |
| A comprehensive framework for automatic detection of pulmonary nodules in lung CT images M Alilou, V Kovalev, E Snezhko, V Taimouri Image Analysis and Stereology 33 (1), 13-27, 2014 | 64 | 2014 |
| An integrated segmentation and shape‐based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT M Alilou, N Beig, M Orooji, P Rajiah, V Velcheti, S Rakshit, N Reddy, ... Medical physics 44 (7), 3556-3569, 2017 | 58 | 2017 |
| 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 | 41 | 2020 |
| Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas M Alilou, M Orooji, N Beig, P Prasanna, P Rajiah, C Donatelli, V Velcheti, ... Scientific reports 8 (1), 15290, 2018 | 35 | 2018 |
| 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 | 34 | 2018 |
| Upgrading performance of DSR routing protocol in mobile ad hoc networks M Alilou, M Dehghan International Journal of Electronics and Communication Engineering 1 (5 …, 2007 | 25 | 2007 |
| Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability P Prasanna, V Bobba, N Figueiredo, DD Sevgi, C Lu, N Braman, M Alilou, ... British Journal of Ophthalmology 105 (8), 1155-1160, 2021 | 23 | 2021 |
| Automatic object detection and segmentation of the histocytology images using reshapable agents M Alilou, V Kovalev Image Analysis and Stereology 32 (2), 89-99, 2013 | 22 | 2013 |
| Segmentation of cell nuclei in heterogeneous microscopy images: A reshapable templates approach M Alilou, V Kovalev, V Taimouri Computerized Medical Imaging and Graphics 37 (7-8), 488-499, 2013 | 19 | 2013 |
| Integrated clinical and CT based artificial intelligence nomogram for predicting severity and need for ventilator support in COVID-19 patients: a multi-site study A Hiremath, K Bera, L Yuan, P Vaidya, M Alilou, J Furin, K Armitage, ... IEEE journal of biomedical and health informatics 25 (11), 4110-4118, 2021 | 17 | 2021 |
| Segmentation of Retinal Blood Vessels Using U-Net++ Architecture and Disease Prediction MS Gargari, MH Seyedi, M Alilou Electronics 11 (21), 3516, 2022 | 14 | 2022 |
| Vascular network organization via Hough transform (VaNgOGH): a novel radiomic biomarker for diagnosis and treatment response N Braman, P Prasanna, M Alilou, N Beig, A Madabhushi International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 14 | 2018 |
| 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 | 13 | 2022 |
| Intra-perinodular textural transition (IPRIS): a three dimenisonal (3D) descriptor for nodule diagnosis on lung computed tomography (CT) images A Madabhushi, M Alilou US Patent 10,692,211, 2020 | 13 | 2020 |
| 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 | 12 | 2022 |
| Predicting immunotherapy response in non-small cell lung cancer patients with quantitative vessel tortuosity A Madabhushi, M Alilou, V Velcheti US Patent 10,492,723, 2019 | 12 | 2019 |
Anant MadabhushiDepartment of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia TechVerified email at emory.edu
