Mehdi Alilou

1.3k total citations
28 papers, 891 citations indexed

About

Mehdi Alilou is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Mehdi Alilou has authored 28 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pulmonary and Respiratory Medicine and 8 papers in Biomedical Engineering. Recurrent topics in Mehdi Alilou's work include Radiomics and Machine Learning in Medical Imaging (22 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Mehdi Alilou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (22 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Mehdi Alilou collaborates with scholars based in United States, Belarus and Iran. Mehdi Alilou's co-authors include Anant Madabhushi, Vamsidhar Velcheti, Mohammadhadi Khorrami, Kaustav Bera, Rajat Thawani, Prateek Prasanna, Pradnya D. Patil, Amit Gupta, Pingfu Fu and Robert Gilkeson and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Mehdi Alilou

28 papers receiving 876 citations

Peers

Countries citing papers authored by Mehdi Alilou

Since Specialization

Citations

This map shows the geographic impact of Mehdi Alilou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mehdi Alilou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehdi Alilou more than expected).

Fields of papers citing papers by Mehdi Alilou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mehdi Alilou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mehdi Alilou. The network helps show where Mehdi Alilou may publish in the future.

Co-authorship network of co-authors of Mehdi Alilou

This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Alilou. A scholar is included among the top collaborators of Mehdi Alilou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mehdi Alilou. Mehdi Alilou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers 2022 ·Clinical Cancer Research ·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 A. Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi	19
2	An End-to-End Integrated Clinical and CT-Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multisite Retrospective Study 2022 ·SHILAP Revista de lepidopterología ·Pranjal Vaidya, Mehdi Alilou, (unknown), Amit Gupta, Kaustav Bera, Jennifer Furin, (unknown), Robert Gilkeson, Lei Yuan, Pingfu Fu, Cheng Lu, Mengyao Ji, Anant Madabhushi	1
3	A tumor vasculature–based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors 2022 ·Science Advances ·Mehdi Alilou, Mohammadhadi Khorrami, Prateek Prasanna, Kaustav Bera, Amit Gupta, Vidya Sankar Viswanathan, Pradnya D. Patil, Priya Velu, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi	20
4	Segmentation of Retinal Blood Vessels Using U-Net++ Architecture and Disease Prediction 2022 ·Electronics ·(unknown), MirHojjat Seyedi, Mehdi Alilou	12
5	A Novel Nodule Edge Sharpness Radiomic Biomarker Improves Performance of Lung-RADS for Distinguishing Adenocarcinomas from Granulomas on Non-Contrast CT Scans 2021 ·Cancers ·Mehdi Alilou, Prateek Prasanna, Kaustav Bera, Amit Gupta, Prabhakar Rajiah, Michael Yang, Frank J. Jacono, Vamsidhar Velcheti, Robert Gilkeson, Philip A. Linden, Anant Madabhushi	6
6	Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study 2020 ·Lung Cancer ·Mohammadhadi Khorrami, Kaustav Bera, Patrick Leo, Pranjal Vaidya, Pradnya D. Patil, Rajat Thawani, Priya Velu, Prabhakar Rajiah, Mehdi Alilou, Humberto Choi, Michael D. Feldman, Robert Gilkeson, Philip A. Linden, Pingfu Fu, Harvey I. Pass, Vamsidhar Velcheti, Anant Madabhushi	34
7	Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability 2020 ·British Journal of Ophthalmology ·Prateek Prasanna, (unknown), Natália Figueiredo, Duriye Damla Sevgi, Cheng Lu, Nathaniel Braman, Mehdi Alilou, Sumit Sharma, Sunil K. Srivastava, Anant Madabhushi, Justis P. Ehlers	17
8	Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer 2020 ·Can Koyuncu, Andrew Janowczyk, Cheng Lu, Patrick Leo, Mehdi Alilou, Adam K. Glaser, Nicholas P. Reder, Jonathan Liu, Anant Madabhushi	2
9	Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer 2019 ·Cancer Immunology Research ·Mohammadhadi Khorrami, Prateek Prasanna, Amit Gupta, Pradnya D. Patil, Priya Velu, Rajat Thawani, Germán Corredor, Mehdi Alilou, Kaustav Bera, Pingfu Fu, Michael D. Feldman, Vamsidhar Velcheti, Anant Madabhushi	200
10	P1.04-25 CT Based Vessel Tortuosity Features Are Prognostic of Overall Survival and Predictive of Immunotherapy Response in NSCLC Patients 2019 ·Journal of Thoracic Oncology ·Mehdi Alilou, Pradnya D. Patil, Ping Fu, Kaustav Bera, Vamsidhar Velcheti, Anant Madabhushi, Pranjal Vaidya	1
11	Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features 2019 ·Lung Cancer ·Mohammadhadi Khorrami, Prantesh Jain, Kaustav Bera, Mehdi Alilou, Rajat Thawani, Pradnya D. Patil, Usman Ahmad, Sudish C. Murthy, Kevin L. Stephans, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi	56
12	Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival 2019 ·Mehdi Alilou, Kaustav Bera, Pranjal Vaidya, (unknown), Pradnya D. Patil, Mohammadhadi Khorrami, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi	9
13	Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas 2018 ·Radiology ·Niha Beig, Mohammadhadi Khorrami, Mehdi Alilou, Prateek Prasanna, Nathaniel Braman, Mahdi Orooji, Sagar Rakshit, Kaustav Bera, Prabhakar Rajiah, J Ginsberg, Christopher Donatelli, Rajat Thawani, Michael Yang, Frank J. Jacono, Pallavi Tiwari, Vamsidhar Velcheti, Robert Gilkeson, Philip A. Linden, Anant Madabhushi	238
14	Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas 2018 ·Scientific Reports ·Mehdi Alilou, Mahdi Orooji, Niha Beig, Prateek Prasanna, Prabhakar Rajiah, Christopher Donatelli, Vamsidhar Velcheti, Sagar Rakshit, Michael Yang, Frank J. Jacono, Robert Gilkeson, Philip A. Linden, Anant Madabhushi	21
15	Changes in Computer Extracted Features of Vessel Tortuosity on CT Scans Post-Treatment in Responders Compared to Non-Responders for Non–Small Cell Lung Cancer on Immunotherapy 2017 ·Journal of Thoracic Oncology ·Vamsidhar Velcheti, Mehdi Alilou, Monica Khunger, Rajat Thawani, Anant Madabhushi	4
16	Changes in computer extracted features of vessel tortuosity on CT scans post-treatment in responders compared to non-responders for non-small cell lung cancer on immunotherapy. 2017 ·Journal of Clinical Oncology ·Vamsidhar Velcheti, Mehdi Alilou, Monica Khunger, Rajat Thawani, Anant Madabhushi	5
17	Evaluation of radiomic features on baseline CT scan to predict clinical benefit for pemetrexed based chemotherapy in metastatic lung adenocarcinoma. 2016 ·Journal of Clinical Oncology ·Sagar Rakshit, Mahdi Orooji, Niha Beig, Mehdi Alilou, Nathan A. Pennell, James Stevenson, Marc A. Shapiro, Anant Madabhushi, Vamsidhar Velcheti	4
18	A COMPREHENSIVE FRAMEWORK FOR AUTOMATIC DETECTION OF PULMONARY NODULES IN LUNG CT IMAGES 2014 ·Image Analysis & Stereology ·Mehdi Alilou, Vassili Kovalev, Eduard Snezhko, (unknown)	37
19	Segmentation of cell nuclei in heterogeneous microscopy images: A reshapable templates approach 2013 ·Computerized Medical Imaging and Graphics ·Mehdi Alilou, Vassili Kovalev, (unknown)	7
20	AUTOMATIC OBJECT DETECTION AND SEGMENTATION OF THE HISTOCYTOLOGY IMAGES USING RESHAPABLE AGENTS 2013 ·Image Analysis & Stereology ·Mehdi Alilou, Vassili Kovalev	12

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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