A RAIL team was awarded the People's Choice Award at the 2019 SIIM Innovation Challenge for their project titled "GRAIL: A PACS-integrated Data Curation & Annotation Tool." The team was comprised of Drs. Paul Yi, Peter Kamel, Jason Hostetter and Haris Sair, and advised by Drs. Philip Phan and Ferdinand Hui, both faculty at [...]
At the 2018 RSNA Annual Meeting, RAIL investigators received 2 Trainee Research Prizes for best resident papers in the categories of Musculoskeletal Imaging and Pediatric MSK Imaging, respectively. The first paper, "Deep Learning for Detection of Hip, Knee, and Shoulder Arthroplasty Dislocations and "Transfer Learning" to Native Joint Dislocations” won in the category of [...]
Deep-learning tool plumbs x-rays for patient gender, age By Wayne Forrest, AuntMinnie.com staff writer November 7, 2018-- Monday, November 26 | 3:50 p.m.-4:00 p.m. | SSE06-06 | Room E353A In this session, researchers will report early success in their development of deep convolutional neural networks (CNNs) to determine the gender and age of patients based on [...]
A team of investigators from RAIL and Malone Center for Engineering in Healthcare were awarded a Johns Hopkins Discovery Award to develop a deep learning system for breast cancer screening on digital breast tomosynthesis (3D Mammography). The PIs for the award are Drs. Susan Harvey, Lisa Mullen, and Gregory D Hager. An excerpt from a [...]
