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Radiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans

Qureshi, Shahzad Ahmad, Lal Hussain, Usama Ibrar, Eatedal Alabdulkreem, Mohamed K Nour, Mohammed S Alqahtani, Faisal Mohammed Nafie, Abdullah Mohamed, Gouse Pasha Mohammed, and Tim Q Duong. 2023. “Radiogenomic Classification for MGMT Promoter Methylation Status Using Multi-Omics Fused Feature Space for Least Invasive Diagnosis through MpMRI Scans”. Scientific Reports 13 (1): 3291.
Last updated on 10/26/2023

Recent Publications

  • Magnetic resonance imaging detection of deep gray matter iron deposition in multiple sclerosis: A systematic review
  • An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)
  • Deep learning combining FDG-PET and neurocognitive data accurately predicts MCI conversion to Alzheimer s dementia 3-year post MCI diagnosis
  • Incidence of new-onset hypertension post—COVID-19: comparison with influenza
  • Machine learning prediction of pathological complete response and overall survival of breast cancer patients in an underserved inner-city population
  • Deep learning applications to breast cancer detection by magnetic resonance imaging: a literature review

Tim Q Duong, Ph.D.

Professor, Department of Radiology
Professor, Department of Biochemistry
Professor, Department of Ophthalmology & Visual Sciences
Professor, Dominick P. Purpura Department of Neuroscience
Vice Chair for Research Department of Radiology

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Montefiore Medical Center
111 East 210th Street
Bronx, NY 10467

tim.duong@einsteinmed.edu
Phone: 718.920.5113
Fax: 718.920.4854

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