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21000 E 12 Mile RdSaint Clair Shores, MI 48081
Phone+1 586-447-5100
Fax+1 586-447-5090
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Education & Training
Ascension Providence/MSUCHMResidency, Obstetrics and Gynecology, 1997 - 2001
Wayne State University School of MedicineClass of 1997
Certifications & Licensure
MI State Medical License 2000 - 2025
IL State Medical License 2001 - 2005
American Board of Obstetrics and Gynecology Obstetrics & Gynecology
Awards, Honors, & Recognition
- Fellow (FACOG) American Congress of Obstetricians and Gynecologists
Publications & Presentations
PubMed
- 2 citationsImproved characterization of cerebral infarction using combined tissue T2 and high b-value diffusion MRI in post-thrombectomy patients: a feasibility study.Roshan Karunamuni, Nathan S. White, Annette Fromm, Gunnar Moen, Eli Renate Grüner
Acta Radiologica. 2019-01-09 - 12 citationsDiagnostic utility of restriction spectrum imaging (RSI) in glioblastoma patients after concurrent radiation-temozolomide treatment: A pilot study.Usman A. Khan, Robert C. Rennert, Nathan S. White, Hauke Bartsch, Nikdokht Farid
Journal of Clinical Neuroscience. 2018-12-01 - 23 citationsMolecular classification of patients with grade II/III glioma using quantitative MRI characteristics.Naeim Bahrami, Stephen J. Hartman, Yu-Hsuan A. Chang, Rachel L. Delfanti, Nathan S. White
Journal of Neuro-Oncology. 2018-06-02
Grant Support
- Validation, Calibration, and Translation of Restriction Spectrum Imaging Signal Maps to enhance MRI diagnostic capabilities in Prostate CancerUNIVERSITY OF TEXAS HLTH SCIENCE CENTER2023–2028
- Validation, Calibration, and Translation of Restriction Spectrum Imaging Signal Maps to enhance MRI diagnostic capabilities in Prostate CancerUNIVERSITY OF TEXAS HLTH SCIENCE CENTER2023–2028
- Validation, Calibration, and Translation of Restriction Spectrum Imaging Signal Maps to enhance MRI diagnostic capabilities in Prostate CancerUNIVERSITY OF TEXAS HLTH SCIENCE CENTER2023–2028
- Validation, Calibration, and Translation of Restriction Spectrum Imaging Signal Maps to enhance MRI diagnostic capabilities in Prostate CancerUNIVERSITY OF CALIFORNIA, SAN DIEGO2023–2028
- RSI-AI: Predicting clinically significant prostate cancer to guide biopsy decisions by combining advanced tissue microstructure imaging with deep learningCORTECHS LABS, INC.2021–2025
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