Education
Ph.D., Computer Science, United Institute of Informatics Problems, National Academy of Sciences (Belarus), 2014
Research Interests
Machine Learning, Computer Vision, Medical Image Analysis
Teaching Interests
Machine learning, image processing, computer vision, programming
Publications
Alilou, M., Prasanna, P., Bera, K., Gupta, A., Rajiah, P., Yang, M., ... Madabhushi, A.
(2021).
A Novel Nodule Edge Sharpness Radiomic Biomarker Improves Performance of Lung-RADS for Distinguishing Adenocarcinomas from Granulomas on Non-Contrast CT Scans.
Cancers,
13
(11),
2781.
DOI: 10.3390/cancers13112781
Prasanna, P., Bobba, V., Figueiredo, N., Sevgi, D., Lu, C., Braman, N., ... Others
(2021).
Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability.
British Journal of Ophthalmology,
105
(8),
1155--1160.
Khorrami, M., Prasanna, P., Gupta, A., Patil, P., Velu, P., Thawani, R., ... Others
(2020).
Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non-small cell lung cancer.
Cancer immunology research,
8
(1),
108.
Vaidya, P., Bera, K., Patil, P., Gupta, A., Jain, P., Alilou, M., ... Madabhushi, A.
(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.
Journal for immunotherapy of cancer,
8
(2).
Prasanna, P., Bobba, V., Figueiredo, N., Sevgi, D., Lu, C., Braman, N., ... Others
(2020).
Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability.
British Journal of Ophthalmology,
().
Khorrami, M., Bera, K., Leo, P., Vaidya, P., Patil, P., Thawani, R., ... Others
(2020).
Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study.
Lung Cancer,
142
(),
90--97.
Ernst, F., & Alilou, M.
(2020).
The Passivity of Low-Temperature Carburized Austenitic Stainless Steel AISI-316L in a Simulated Boiling-Water-Reactor Environment.
Journal of Nuclear Materials,
537
(),
152197.