Alvin Liu & Mathias Unberath receive $200,000 Emerson Collective Grant for Uveal Melanoma Deep Learning project

By |2019-09-16T08:32:53-04:00September 16th, 2019|

         Congratulations to Alvin Liu, MD and Mathias Unberath, PhD, on being awarded a $200,000 grant from the Emerson Collective Cancer Research Fund to further their work in retinal imaging deep learning! Specifically, the project seeks to harness the power of deep learning to enhance prognostication in uveal melanoma. Uveal melanoma is [...]

Malone faculty receive Discovery Awards

By |2019-09-16T08:33:00-04:00September 1st, 2019|

Johns Hopkins University recently announced 32 multidisciplinary endeavors that have been selected to receive support this year from the JHU Discovery Awards program. Several faculty affiliated with the Malone Center are part of those endeavors. Each project team includes members of at least two JHU divisions or other entities who aim to solve a complex problem and [...]

RAIL team wins People’s Choice Award at the 2019 SIIM Innovation Challenge!

By |2019-09-16T12:51:51-04:00June 28th, 2019|

  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 [...]

2018 RSNA Trainee Prizes awarded to RAIL investigators (Kim, Yi, Fritz)

By |2019-09-16T12:45:04-04:00December 5th, 2018|

  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 (AuntMinnie news article)

By |2019-09-16T08:28:28-04:00November 26th, 2018|

Deep-learning tool plumbs x-rays for patient gender, age By Wayne Forrest, 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 [...]

Go to Top