Search the Health Library
Get the facts on diseases, conditions, tests and procedures.
I Want To...
Find a Doctor
I Want To...
Find Research Faculty
Enter the last name, specialty or keyword for your search below.
Haris Iqbal Sair, M.D.
Assistant Professor of Radiology and Radiological Science
Languages: English, Japanese, Urdu
Expertise: Adult and Pediatric Diagnostics, Biomarkers as Predictors of Treatment Benefit, Diagnostic Radiology, Functional Brain Imaging, Image-Guided Biopsies, Magnetic Resonance Imaging, Neuroradiology , New Imaging Modalities, Non-invasive Imaging, Pediatric Imaging, Pediatric Radiology, Resident Education ...read more
Research Interests: Functional MRI; resting state fMRI; functional imaging in neurological disease; presurgical brain mapping
The Johns Hopkins Hospital
600 N. Wolfe Street
Sheikh Zayed Tower
Baltimore, MD 21287 map
Dr. Haris Sair is an Assistant Professor in the Johns Hopkins Medicine Department of Radiology and Radiological Science. His areas of clinical expertise include functional Magnetic Resonance Imaging (fMRI) of the brain.
Dr. Sair earned his M.D. from Duke University School of Medicine. He completed his residency at Temple University Medical Center and performed a fellowship in neuroradiology at Massachusetts General Hospital in Boston, MA.
- Assistant Professor of Radiology and Radiological Science
Departments / Divisions
- Radiology and Radiological Science
- MD, Duke University School of Medicine (2003)
- Temple University Medical Center / Radiology (2008)
- Massachusetts General Hospital / Neuroradiology (2010)
- American Board of Radiology / Diagnostic Radiology (2008)
- American Board of Radiology / Neuroradiology (2011)
Research & Publications
My laboratory focuses on clinical applications of advanced functional brain imaging. Ongoing projects include detection of brain networks using resting state fMRI for presurgical brain mapping, investigating alterations in brain functional connectivity in a variety of neurological disorders such as dementia, traumatic brain injury, and coma, as well as utilizing functional connectivity for predicting outcome.