The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University of Maryland School of Medicine is a new collaborative and supportive environment for investigators who are conducting cutting-edge imaging research and development (R&D) of CADt, CADe, and CADx-type tools with strong translational potential for rapid detection/triage, injury grading, and quantitative visualization of hemorrhage burden. We are currently recruiting motivated Postdoctoral Fellows with a Ph.D., M.D. (or equivalent) and a background in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields. Candidates who have experience with MICCAI or RSNA CT challenge datasets such as RibFrac, the RSNA pulmonary embolus CT dataset, or the RSNA abdominal trauma CT dataset, or are otherwise technically proficient with imbalanced cross-sectional imaging data are especially well-suited for the position. The postdoctoral researchers will develop algorithms for deployment at our prestigious R Adams Cowley Shock Trauma Center and beyond, and there is ample opportunity to present, publish, and kickstart a fruitful career in academia or industry in the area of medical image processing. The work will be conducted through an NIH-funded study on these topics:

1) R&D for CT-based tools using CNN or ViT backbones for classification or object detection of hemorrhage-related pathologies including cavitary hemorrhage, solid organ injury, and bleeding pelvic fractures using a very large in-house CT dataset with high-quality labeling and outcome data.

2) Training and validation of state-of-the-art segmentation models for multiscale tasks, with targets including organ lacerations, cavitary pooled hemorrhage, and active bleeding.

3) One additional position focuses on evaluating user acceptance of tools by working with radiology and trauma surgery experts in the field. For this position, we are looking specifically for candidates with experience developing web-based interactive user interfaces for the above tools.

Qualifications

The position is subject to a background check. Applications from women, minorities, and persons with disabilities are strongly encouraged. Applications will be accepted until the position is filled. The University of Maryland at Baltimore is dedicated to building a diverse community in its training and employment programs

Baltimore Inner Harbor, Maryland

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