Sequential Learning in Azure ML Collaboration with Microsoft

By |2022-07-26T08:15:34-04:00July 26th, 2022|

Dr Craig Jones, Assistant Research Professor in Computer Science (Co-Directory of the Radiology AI Lab) along with Dr Haris Sair (Directory of Neuroradiology) have an exciting new collaboration with Health AI, Microsoft.  Dr Jones along with a graduate student will be implementing a Sequential Learning algorithm for training de-identified medical image data uploaded to Microsoft [...]

Quantifying Uncertainty in Neural Network Segmentation

By |2022-07-26T08:36:27-04:00June 8th, 2022|

Dr Jones and Sair, along with Collaborators in the School of Public Health and the Division of Neuroradiology have designed a method to quantify two types of uncertainty, aleatoric and epistemic, directly from a neural network segmentation algorithm.  Details can be found here: Direct quantification of epistemic and aleatoric uncertainty in 3D U-net segmentation https://doi.org/10.1117/1.JMI.9.3.034002

Shruti Agarwal awarded ASNR Research Scientist Award to study FMRI deep learning

By |2019-09-17T15:32:56-04:00September 17th, 2019|

 .      . Congratulations to Shruti Agarwal, PhD, and Haris I Sair, MD for receiving a $60,000 Research Scientist Award from the American Society of Neuroradiology (ASNR)! The funded project is titled "Application of Artificial Intelligence for presurgical mapping of motor network in dynamic resting state MR imaging of patients with focal brain [...]

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." [...]

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