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Naveen Rajamohan, M.D.

Assistant Professor

School
Medical School
Department
Radiology

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For more information on the doctor and patient care, please visit the clinical profile.

  • Biography

    Naveen Rajamohan, M.D., is an Assistant Professor at UT Southwestern Medical Center and a member of its Abdominal Imaging division. His clinical interests include MRI, hepatobiliary and pancreatic imaging, image-guided interventions, and virtual colonography.

    Originally from southern India, Dr. Rajamohan received his medical degree at Shri Sathya Sai Medical College in Chennai and completed radiology residency training from All India Institute of Medical Science in New Delhi, India. He then received advanced training through a research fellowship focused on artificial intelligence and molecular imaging at the Mayo Clinic in Rochester, Minnesota, along with Body MRI and Abdominal Imaging fellowships at UT Southwestern Medical Center.

    Dr. Rajamohan focuses his research on early pancreas cancer detection using radiomics and AI enhanced models, pancreatic imaging, and accelerated MRI. His work has resulted in more than 12 peer-reviewed publications in scientific journals and several presentations at professional conferences throughout the country.

    At UT Southwestern, Dr. Rajamohan’s commitment to education and training is evidenced by his passion for teaching medical students, residents, and fellows.

    Dr. Rajamohan is an active member of several professional organizations, including the Radiological Society of North America (RSNA), Society for Advanced Body Imaging (SABI), American College of Radiology (ACR), and Society for Abdominal Radiology (SAR).

    Outside of medicine, he enjoys yoga, hiking, and traveling to explore new cultures and diverse cuisines.

  • Publications

    Star Featured Publications

    Automated Artificial Intelligence Model Trained on a Large Data Set Can Detect Pancreas Cancer on Diagnostic Computed Tomography Scans As Well As Visually Occult Preinvasive Cancer on Prediagnostic Computed Tomography Scans.
    Korfiatis P, Suman G, Patnam NG, Trivedi KH, Karbhari A, Mukherjee S, Cook C, Klug JR, Patra A, Khasawneh H, Rajamohan N, Fletcher JG, Truty MJ, Majumder S, Bolan CW, Sandrasegaran K, Chari ST, Goenka AH, Gastroenterology 2023 Dec 165 6 1533-1546.e4
    Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-of-care CTs.
    Mukherjee S, Korfiatis P, Khasawneh H, Rajamohan N, Patra A, Suman G, Singh A, Thakkar J, Patnam NG, Trivedi KH, Karbhari A, Chari ST, Truty MJ, Halfdanarson TR, Bolan CW, Sandrasegaran K, Majumder S, Goenka AH, Pancreatology 2023 Aug 23 5 522-529
    PET/CT and PET/MRI in neuroendocrine neoplasms.
    Rajamohan N, Khasawneh H, Singh A, Suman G, Johnson GB, Majumder S, Halfdanarson TR, Goenka AH, Abdom Radiol (NY) 2022 Dec 47 12 4058-4072
    Volumetric Pancreas Segmentation on Computed Tomography: Accuracy and Efficiency of a Convolutional Neural Network Versus Manual Segmentation in 3D Slicer in the Context of Interreader Variability of Expert Radiologists.
    Khasawneh H, Patra A, Rajamohan N, Suman G, Klug J, Majumder S, Chari ST, Korfiatis P, Goenka AH, J Comput Assist Tomogr 2022 Nov-Dec 01 46 6 841-847
    Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis.
    Mukherjee S, Patra A, Khasawneh H, Korfiatis P, Rajamohan N, Suman G, Majumder S, Panda A, Johnson MP, Larson NB, Wright DE, Kline TL, Fletcher JG, Chari ST, Goenka AH, Gastroenterology 2022 Nov 163 5 1435-1446.e3
    Beyond the AJR: FDG PET/MRI Has the Potential to Improve the Detection of Peritoneal Carcinomatosis Compared With Standard-of-Care Imaging.
    Rajamohan N, Goenka AH, AJR Am J Roentgenol 2022 Nov 219 5 845
    Natural COA water inhibits mitochondrial ROS-mediated apoptosis through Plk3 downregulation under STZ diabetic stress in pancreatic β-cell lines.
    Lee J, Chung JO, Park SY, Rajamohan N, Singh A, Kim J, Lowe VJ, Lee S, Biochem Biophys Rep 2022 Jul 30 101247