Mohammadhadi Khorrami

All papers authored by Mohammadhadi Khorrami

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2023 Mohammadhadi Khorrami

, Vidya Sakar Viswanathan, Priyanka Reddy, Nathaniel Braman, Siddharth Kunte, Amit Gupta, Jame Abraham, Alberto J. Montero

, Anant Madabhushi

Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer

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2022 Mehdi Alilou

, Mohammadhadi Khorrami

, Prateek Prasanna

, Kaustav Bera

, Amit Gupta

, Vidya Sankar Viswanathan, Pradnya Patil, Priya Darsini Velu

, Pingfu Fu

, Vamsidhar Velcheti, Anant Madabhushi

A tumor vasculature–based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors

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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

and 2 other authors

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

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Lukas Delasos, Vidya Sankar Viswanathan, Mohammadhadi Khorrami

, Khalid Jazieh, Nathan A. Pennell, Anant Madabhushi, Pradnya Dinkar Patil

Texture-based CT radiomics distinguishes radiation and immunotherapy induced pneumonitis in stage III NSCLC.

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Khalid Jazieh, Mohammadhadi Khorrami

, Anas Saad, Mohamed Gad, Amit Gupta, Pradnya Patil, Vidya Sankar Viswanathan, Prabhakar Rajiah, Charles J. Nock, Michael Gilkey, Pingfu Fu, Nathan A. Pennell

, Anant Madabhushi

Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab

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2021 Prantesh Jain, Mohammadhadi Khorrami

, Amit Gupta, Prabhakar Rajiah, Kaustav Bera, Vidya Sankar Viswanathan, Pingfu Fu, Afshin Dowlati, Anant Madabhushi

Novel Non-Invasive Radiomic Signature on CT Scans Predicts Response to Platinum-Based Chemotherapy and Is Prognostic of Overall Survival in Small Cell Lung Cancer

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This paper was not found in any repository, but could be made available legally by the author.

Mohammadhadi Khorrami

, Kaustav Bera

, Rajat Thawani

, Prabhakar Rajiah

, Amit Gupta, Pingfu Fu, Philip Linden

, Nathan Pennell, Frank Jacono, Robert C. Gilkeson, Vamsidhar Velcheti, Anant Madabhushi

Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans

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2020 Pranjal Vaidya

, Kaustav Bera, Pradnya D. Patil, Amit Gupta, Prantesh Jain, Mehdi Alilou, Mohammadhadi Khorrami

, Vamsidhar Velcheti, Anant Madabhushi

Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade

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Mohammadhadi Khorrami

, Kaustav Bera, Patrick Leo, Pranjal Vaidya, Pradnya Patil, Rajat Thawani, Priya Velu, Prabhakar Rajiah, Mehdi Alilou, Humberto Choi, Michael D. Feldman, Robert C. Gilkeson, Philip Linden, Pingfu Fu, Harvey Pass and 2 other authors

Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study

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2019 Mohammadhadi Khorrami

, Prateek Prasanna, Amit Gupta

, Pradnya Patil, Priya D. Velu, Rajat Thawani

, German Corredor, Mehdi Alilou, Kaustav Bera

, Pingfu Fu

, Michael Feldman

, Vamsidhar Velcheti, Anant Madabhushi

Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

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P. Patil, M. Khorrami

, A. Zagouras, K. Bera, P. Fu, A. Gupta, V. Velcheti, N. Pennell, A. Madabhushi

P2.04-16 Novel CT Based Radiomic Features are Prognostic and Predictive of Benefit of Chemoimmunotherapy in Advanced Non-Squamous NSCLC

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Mohammadhadi Khorrami

, Prantesh Jain, Kaustav Bera, Mehdi Alilou, Rajat Thawani, Pradnya Patil, Usman Ahmad, Sudish Murthy, Kevin Stephans, Pinfu Fu, Vamsidhar Velcheti, Anant Madabhushi

Corrigendum to “Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features” [Lung Cancer 135 (September) (2019) 1–9]

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Mohammadhadi Khorrami

, Prantesh Jain, Kaustav Bera, Mehdi Alilou, Rajat Thawani, Pradnya Patil, Usman Ahmad, Sudish Murthy, Kevin Stephans

, Pinfu Fu

, Vamsidhar Velcheti, Anant Madabhushi

Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features

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Pradnya Patil, Kaustav Bera, Pirya Velu, Mohammadhadi Khorrami

, Prateek Prasanna, Vamsidhar Velcheti, Anant Madabhushi, Mehdi Alilou, Pingfu Fu

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

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Mehdi Alilou, Kaustav Bera, Pranjal Vaidya, Alexia Zagouras, Pradnya Patil, Mohammadhadi Khorrami

, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi

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

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Mohammadhadi Khorrami

, Monica Khunger, Alexia Zagouras, Pradnya Patil, Rajat Thawani

, Kaustav Bera, Prabhakar Rajiah

, Pingfu Fu

, Vamsidhar Velcheti, Anant Madabhushi

Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma

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2018 Niha Beig

, Mohammadhadi Khorrami

, Mehdi Alilou, Prateek Prasanna, Nathaniel Braman

, Mahdi Orooji, Sagar Rakshit, Kaustav Bera, Prabhakar Rajiah

, Jennifer Ginsberg, Christopher Donatelli, Rajat Thawani, Michael Yang, Frank Jacono, Pallavi Tiwari and 4 other authors

Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas

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P. Patil, K. Bera, P. Vaidya, M. Khorrami

, P. Jain, A. Madabhushi, V. Velcheti

P2.04-17 Pre-Therapy Radiomic Features Can Distinguish Hyperprogression from Other Response Patterns to PD1/PD-L1 Inhibitors in NSCLC

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Mohammadhadi Khorrami

, Prantesh Jain, Monica Khunger, Usman Ahmad, Kevin L. Stephans, Sudish C. Murthy, Vamsidhar Velcheti, Anant Madabhushi

Combination of CT derived radiomic features and lymphovascular invasion status to predict disease recurrence following trimodality therapy in non-small cell lung cancer.

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Mahdi Orooji, Mehdi Alilou, Sagar Rakshit, Niha Beig, Mohammad Hadi Khorrami

, Prabhakar Rajiah, Rajat Thawani, Jennifer Ginsberg, Christopher Donatelli, Michael Yang, Frank Jacono, Robert Gilkeson, Vamsidhar Velcheti, Philip Linden, Anant Madabhushi

Combination of computer extracted shape and texture features enables discrimination of granulomas from adenocarcinoma on chest computed tomography

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All papers authored by Mohammadhadi Khorrami