Mehdi Alilou

According to our database, Mehdi Alilou authored at least 10 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers.

Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta, Prantesh Jain, Pingfu Fu, Nathan Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi

CoRR, 2022

2021

Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study.

Amogh Hiremath, Kaustav Bera, Lei Yuan, Pranjal Vaidya, Mehdi Alilou, Jennifer Furin, Keith Armitage, Robert Gilkeson, Mengyao Ji, Pingfu Fu, Amit Gupta, Cheng Lu, Anant Madabhushi

IEEE J. Biomed. Health Informatics, 2021

A novel deep learning framework for lung nodule detection in 3d CT images.

Reza Majidpourkhoei, Mehdi Alilou, Kambiz Majidzadeh, Amin Babazadeh Sangar

Multim. Tools Appl., 2021

2020

Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer.

Can Fahrettin Koyuncu, Andrew Janowczyk, Cheng Lu, Patrick Leo, Mehdi Alilou, Adam K. Glaser, Nicholas P. Reder, Jonathan T. C. Liu, Anant Madabhushi

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

2019

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 inhibitors: a multi-agent multi-site study.

Mohammadhadi Khorrami, Mehdi Alilou, Prateek Prasanna, Pradnya Patil, Pirya Velu, Kaustav Bera, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival.

Mehdi Alilou, Pranjal Vaidya, Mohammadhadi Khorrami, Alexia Zagouras, Pradnya Patil, Kaustav Bera, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018

Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response.

Nathaniel Braman, Prateek Prasanna, Mehdi Alilou, Niha G. Beig, Anant Madabhushi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT.

Mehdi Alilou, Mahdi Orooji, Anant Madabhushi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2013

Segmentation of cell nuclei in heterogeneous microscopy images: A reshapable templates approach.

Mehdi Alilou, Vassili Kovalev, Vahid Taimouri

Comput. Medical Imaging Graph., 2013

2005

Upgrading Performance of DSR Routing Protocol in Mobile Ad Hoc Networks.

Mehdi Alilou, Mehdi Dehghan

Proceedings of the Third World Enformatika Conference, 2005