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Mehdi Alilou
Mehdi Alilou
Research Assistant Professor, Case Western Reserve University
Verified email at case.edu
Title
Cited by
Cited by
Year
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
2712019
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
2172020
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
722020
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
612014
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
572019
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
542017
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
362020
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
322018
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
312018
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
252007
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
222013
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
202021
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
192013
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
152021
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
132020
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
132019
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
132018
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
112019
Characterizing disease and treatment response with quantitative vessel tortuosity radiomics
A Madabhushi, M Orooji, M Rusu, P Linden, R Gilkeson, NM Braman, ...
US Patent 10,064,594, 2018
112018
Intra-perinodular textural transition (ipris): A 3D descriptor for nodule diagnosis on lung CT
M Alilou, M Orooji, A Madabhushi
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
112017
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