Yale offers incredible research opportunities. Resident research spans topics in clinical radiology, outcomes research, image processing, artificial intelligence, healthcare policy, and many other fields. We collaborate with numerous clinical departments, basic and translational research centers at the hospital, as well as with faculty across Yale’s other graduate and professional schools.
More than half of Yale trainees present work at RSNA and other major national/international conferences every year. Our residents have consistently won RSNA/ARRS mini-fellowships, travel grants, society funding, and other awards for over two decades. This track record of distinguished work can be traced to a culture of program commitment to research at all levels.
For the research driven residents, we have made personalized research tracks, fitting to their career goals. We have our ABR Holman Pathway and PhD track, in addition to structured research time built into clinical training.
Yale provides a research infrastructure that facilitates both resident and faculty efforts. Literature review support, meta-analysis management, statistical and data support, computational clusters, as well as graphic design help for publication are available and greatly improve the efficiency of scholarly activity.
A few trainees are highlighted below:
Arman Avesta is pursuing a PhD in data science and artificial intelligence, and his PhD thesis focuses on segmenting brain images that are distorted by space-occupying lesions such as brain tumors. Arman is developing new machine learning methods, including 3D capsule networks, to automatically segment brain structures when the brain anatomy is distorted. He aims at improving radiotherapy and surgical navigation for these patients.
Julius Chapiro is on a customized in-training-faculty track and co-directs the Yale Interventional Oncology research lab. He functions as an investigator on several federally, foundationally and industry-funded grants that focus on liver cancer interventions and multi-modality liver imaging. His lab develops novel molecular imaging techniques to visualize the tumor microenvironment and the immune system in mouse and rabbit animal models, and conducts translational and clinical research. These initiatives include machine learning and imaging biomarker development.
Nadia Solomon is on the ABR Holman Research Pathway and the Investigative Medicine PhD Program though the Yale Graduate School of Arts and Sciences. Her current research focuses on the application of various imaging techniques in the postmortem setting to cause of death investigation. She is also exploring related topics including child abuse imaging and other applications of imaging to forensic settings.