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Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma


Mar 12, 2021
Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia Hill, Gagandeep Singh, Sasan Partovi, Niha Beig, Sean McGarry, Peter Laviolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari


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EventScore: An Automated Real-time Early Warning Score for Clinical Events


Feb 14, 2021
Ibrahim Hammoud, Prateek Prasanna, IV Ramakrishnan, Adam Singer, Mark Henry, Henry Thode


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AutoScore: An Automated Warning Score Model for the Early Prediction of Clinical Events


Feb 11, 2021
Ibrahim Hammoud, Prateek Prasanna, IV Ramakrishnan, Adam Singer, Mark Henry, Henry Thode


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Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study


Jul 15, 2020
Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna

* Joseph Bae and Saarthak Kapse have contributed equally to this work. This manuscript has been submitted for consideration to _European Radiology_. 12 pages, 6 figures, 4 tables 

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Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to target tumor mutational status on structural MRI


Jun 17, 2020
Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari


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Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study


Jun 16, 2020
Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Anant Madabhushi, Manmeet Ahluwalia, Pallavi Tiwari


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