Emory University School of Medicine
Emory University School of Medicine
Department of Radiology and Imaging Sciences

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Department of Radiology and Imaging Sciences

Department of Radiology and Imaging Sciences

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Welcome! Emory Radiology is an internationally recognized leader in pioneering novel imaging techniques and technologies to diagnose and treat a wide range of health issues. Eleven clinical divisions provide diagnostic and therapeutic imaging to Emory Healthcare, Grady, Children's Healthcare of Atlanta and the VA Healthcare System. Emory is the largest academic health care center in Georgia and the only integrated academic health care system in the region leveraging the power of research to advance the quality of patient care.

We are at the forefront of training a new generation of imaging clinicians and researchers. Our residency and fellowship programs are top-ranked so we consistently attract the best and brightest to train with us. Our Bachelor of Medical Science in Imaging Technology program, one of only two in Georgia, is similarly recognized for the quality of its training.

Our robust research enterprise advances scientific, translational, and clinical innovation.

Research Matters

$2.95 Million Grant Funds Development of Brain Thermometry

A multidisciplinary team led by imaging scientist Candace Fleischer has received a $2.95 million grant from the National Institute of Health to develop and then clinically validate a novel method for assessing human brain temperature with the goal of developing brain temperature as a non-invasive prognostic tool that can help improve outcomes for patients with brain injury and illness.

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Advanced Brain Imaging Innovation

Researchers have found a promising new way to predict which patients with a congenital brain malformation would respond well to surgical intervention. The results of this preliminary application of a non-invasive advanced imaging approach could significantly improve the quality of care for patients with Chiari malformation type-I.

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Leading Clinical Innovations

Pioneering Advanced Imaging to Detect Pulmonary Embolism

Emory Healthcare is the first system in Georgia to employ advanced imaging technology to better evaluate lung ventilatory function for diagnosis and treatment planning of conditions ranging from acute pulmonary embolism (new blood clots) to chronic thromboembolic pulmonary hypertension (old blood clots).

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Breast Cryoablation for Small Cancerous Lesions

After two years of careful planning, Breast Imaging faculty recently performed the first cryoablation treatment for non-operable small breast cancer in Georgia. 

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Congratulations to Atlanta's Top Docs 2025

Emory Radiology faculty figure prominently in Atlanta magazine's 2025 'Top Doctors' lists.  Nearly one-third of the list are Emory-affiliated doctors.  Click here for the full list.      

Dr. Kristen Baugnon Neuroradiology

Dr. Carrie Hoff Emergency and Trauma Imaging

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Dr. Zach Bercu Interventional Radiology

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Dr. Janice Newsome Interventional Radiology

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Dr. J. David Prologo Interventional Radiology

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Dr. Peter Park Interventional Radiology

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Dr. Jesse Conyers Breast Imaging

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Dr. Jean Kunjummen Breast Imaging

Dr. Maria Piraner Breast Imaging

Dr. Kush Singh Community Radiology Specialists

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Here Come the FANs

Graduates of our residency and fellowship programs now have a new way to reconnect with us: the Faculty and Alumni Network of Emory Radiology, or FANs. "To see so many alumni, trainees and faculty members come together for an evening of fun really shows how much Emory Radiology is like a family," says Hernan Bello, 20MR 21FM, chair of the FANs Advisory Board.

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Research News

A multidisciplinary, multi-institutional team that includes Emory Radiology associate professor Judy Gichoya developed a deep learning model that can detect type 2 diabetes from chest radiographs. Read about this and other scientific advancements made by our faculty, staff and trainees.

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picture of chest x-ray in a graphic with a person's face below it and the words Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs