2022 JHU Radiology Research Day

By |2022-12-02T20:21:00-05:00November 9th, 2022|

The JHU Radiology Research Day was this past Tuesday (November 8).  It is a place to showcase the research in the Department of Radiology and Radiological Science at JHU.  This year the RAIL lab had 9 posters and Dr Craig Jones was invited to present on AI Applications in Radiology. A huge congratulations on the [...]

Team led by Drs. Paul Yi & Cheng Ting Lin receive 2019 RSNA Trainee Research Prize

By |2019-09-16T08:32:44-04:00September 16th, 2019|

    Congratulations to RAIL thoracic imaging team led by Drs. Paul Yi and Cheng Ting Lin on receiving a 2019 RSNA Trainee Research Prize for best resident paper in Emergency Radiology! The paper is titled "Can AI Outperform a Junior Resident? Comparison of Deep Neural Network to First-Year Radiology Residents for Identification of Pneumothorax." [...]

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, 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 [...]

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