Ashkan A. Malayeri, MD

MD, Tehran University of Medical Sciences

Dr. Malayeri earned his medical degree from the Tehran University of Medical Sciences and completed his residency in diagnostic radiology at the Johns Hopkins Hospital. As a clinical fellow and instructor, he also spent a year receiving sub-specialized body magnetic resonance imaging training at Johns Hopkins. He received the 2013 RSNA Fellow Research Grant when he studied high-resolution MRI imaging of the myocardium in patients with atrial fibrillation.

Dr. Malayeri is currently the Chief of the Body Imaging Section at the Department of Radiology and Imaging Sciences. In this capacity, he oversees the operations of MRI, CT, ultrasound, and x-ray. In addition to his role at the NIH, Dr. Malayeri continues participating in resident and fellow education by providing lectures and case conferences. He is also involved in several medical imaging societies, including the Radiological Society of North America, as an associated editor for their leading scientific journal – Radiology.

Research interests:

Dr. Malayeri’ research involves optimizing MRI and CT techniques for clinical problem-solving. He is particularly interested in the role of artificial intelligence in detecting, characterizing, and prognosticating diseases.

• NIH Clinical Center CEO Award, 2022
• Research Award for Staff Clinicians (RASCl), 2022
• Research Award for Staff Clinicians (RASCl), 2020
• Distinguished Reviewer for the journal Abdominal Radiology, 2020
• Special Act or Service Award NIH Clinical Center, 2020
• Editors Recognition Award with Distinction, Radiology, 2018
• Certificate of Merit, Radiological Society of North America, 2018
• Diagnostic Radiology Fellow Teaching Award, John Hopkins Hospital, 2014
• Certificate of Merit, ARRS, 2014
• Recipient of RSNA Fellow Research Grant, Radiological Society of North America, 2013
• Roentgen Resident/Fellow Award, John Hopkins Hospital, 2013
• Certificate of Merit, Radiological Society of North America, 2010

Lay N, Anari PY, Chaurasia A, Firouzabadi FD, Harmon S, Turkbey E, Gautam R, Samimi S, Merino MJ, Ball MW, Linehan WM, Turkbey B, Malayeri AA. Deep learning-based decision forest for hereditary clear cell renal cell carcinoma segmentation on MRI. Med Phys. 2023 Mar 1;. doi: 10.1002/mp.16303. [Epub ahead of print] PubMed PMID: 36855860.

Anari PY, Lay N, Chaurasia A, Gopal N, Samimi S, Harmon S, Gautam R, Ma K, Firouzabadi FD, Turkbey E, Merino M, Jones EC, Ball MW, Linehan WM, Turkbey B, Malayeri AA. Automatic segmentation of clear cell renal cell tumors, kidney, and cysts in patients with von Hippel-Lindau syndrome using U-net architecture on magnetic resonance images. ArXiv. 2023 Jan 6;. PubMed PMID: 36789136; PubMed Central PMCID: PMC9928055.

Chaurasia A, Gopal N, Dehghani Firouzabadi F, Yazdian Anari P, Wakim P, Ball MW, Jones EC, Turkbey B, Huda F, Linehan WM, Turkbey EB, Malayeri AA. Role of ultra-high b-value DWI in the imaging of hereditary leiomyomatosis and renal cell carcinoma (HLRCC). Abdom Radiol (NY). 2023 Jan;48(1):340-349. doi: 10.1007/s00261-022-03689-w. Epub 2022 Oct 7. PubMed PMID: 36207629.

Anari PY, Lay N, Gopal N, Chaurasia A, Samimi S, Harmon S, Firouzabadi FD, Merino MJ, Wakim P, Turkbey E, Jones EC, Ball MW, Turkbey B, Linehan WM, Malayeri AA. An MRI-based radiomics model to predict clear cell renal cell carcinoma growth rate classes in patients with von Hippel-Lindau syndrome. Abdom Radiol (NY). 2022 Oct;47(10):3554-3562. doi: 10.1007/s00261-022-03610-5. Epub 2022 Jul 22. PubMed PMID: 35869307.

Nikpanah M, Xu Z, Jin D, Farhadi F, Saboury B, Ball MW, Gautam R, Merino MJ, Wood BJ, Turkbey B, Jones EC, Linehan WM, Malayeri AA. A deep-learning based artificial intelligence (AI) approach for differentiation of clear cell renal cell carcinoma from oncocytoma on multi-phasic MRI. Clin Imaging. 2021 Sep;77:291-298. doi: 10.1016/j.clinimag.2021.06.016. Epub 2021 Jun 18. PubMed PMID: 34171743; PubMed Central PMCID: PMC9990181.

Nikpanah M, Paschall AK, Ahlman MA, Civelek AC, Farhadi F, Mirmomen SM, Li X, Saboury B, Ball MW, Merino MJ, Srinivasan R, Jones EC, Linehan WM, Malayeri AA. 18Fluorodeoxyglucose-positron emission tomography/computed tomography for differentiation of renal tumors in hereditary kidney cancer syndromes. Abdom Radiol (NY). 2021 Jul;46(7):3301-3308. doi: 10.1007/s00261-021-02999-9. Epub 2021 Mar 10. PubMed PMID: 33688985; PubMed Central PMCID: PMC9389933.

Paschall AK, Nikpanah M, Farhadi F, Jones EC, Wakim PG, Dwyer AJ, Gautam R, Merino MJ, Srinivasan R, Linehan WM, Malayeri AA. Hereditary leiomyomatosis and renal cell carcinoma (HLRCC) syndrome: Spectrum of imaging findings. Clin Imaging. 2020 Dec;68:14-19. doi: 10.1016/j.clinimag.2020.06.010. Epub 2020 Jun 9. PubMed PMID: 32562921; PubMed Central PMCID: PMC8916163.

Farhadi F, Nikpanah M, Paschall AK, Shafiei A, Tadayoni A, Ball MW, Linehan WM, Jones EC, Malayeri AA. Clear Cell Renal Cell Carcinoma Growth Correlates with Baseline Diffusion-weighted MRI in Von Hippel-Lindau Disease. Radiology. 2020 Jun;295(3):583-590. doi: 10.1148/radiol.2020191016. Epub 2020 Apr 7. PubMed PMID: 32255415; PubMed Central PMCID: PMC7263323.

Mirmomen SM, Sirajuddin A, Nikpanah M, Symons R, Paschall AK, Papageorgiou I, Gahl WA, O'Brien K, Estrada-Veras JI, Malayeri AA. Thoracic involvement in Erdheim-Chester disease: computed tomography imaging findings and their association with the BRAFV600E mutation. Eur Radiol. 2018 Nov;28(11):4635-4642. doi: 10.1007/s00330-018-5421-3. Epub 2018 May 7. PubMed PMID: 29736852.

Nikpanah M, Kim L, Mirmomen SM, Symons R, Papageorgiou I, Gahl WA, O'Brien K, Estrada-Veras JI, Malayeri AA. Abdominal involvement in Erdheim-Chester disease (ECD): MRI and CT imaging findings and their association with BRAFV600E mutation. Eur Radiol. 2018 Sep;28(9):3751-3759. doi: 10.1007/s00330-018-5326-1. Epub 2018 Mar 19. PubMed PMID: 29556768.

Visit National Center for Biotechnology Information for a full list of Dr. Malayeri's publications.