Data Science Pathway - Mass General Brigham Data Science Office

A Fully Automated Deep Learning Pipeline for Multi–Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans

Bridge CP, Best TD, Wrobel MM, Marquardt JP, Magudia K, Javidan C, Chung J, Kalpathy-Cramer J, Andriole KP, Fintelmann RJ.

Radiology: AI. (in press). 2022

January 5, 2022

The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning

Magudia K, Bridge CP, Andriole KP, Rosenthal MH.

Journal of Digital Imaging 2021

October 4, 2021

The Composite Severity Score for Lumbar Spine MRI: a Metric of Cumulative Degenerative Disease Predicts Time Spent on Interpretation and Reporting

Caton MT, Wiggins WF, Pomerantz SR, Andriole KP.

Journal of Digital Imaging 2021

May 23, 2021

Effects of age and sex on the distribution and symmetry of lumbar spinal and neural foraminal stenosis: a natural language processing analysis of 43,255 lumbar MRI reports

Caton MT, Wiggins WF, Pomerantz SR, Andriole KP

Neuroradiology. 2021;63:959–966

February 16, 2021

Population-scale CT-based body composition analysis of a large, previously healthy outpatient population using deep learning to derive age, gender and race specific reference curves

Magudia K, Bridge CP, Bay CP, Babic A, Fintelmann FJ, Troschel FM, Miskin N, Wrobel WC, Brais LK, Andriole KP, Wolpin BM, Rosenthal MH.

Radiology 2021; 298(2):319-329

November 24, 2020

A Conference-Friendly, Hands-On Introduction to Deep Learning for Radiology Trainees

Wiggins WF, Caton MT, Magudia K, Rosenthal MH, Andriole KP.

Radiology: AI Nov 2020

November 4, 2020

Preparing Radiologists to Lead in the Era of Artificial Intelligence: Designing and Implementing a Focused Data Science Pathway for Senior Radiology Residents

Wiggins WF, Caton MT, Magudia K, Glomski SA, George E, Rosenthal MH, Gaviola GC, Andriole KP.

Radiol Artif Intell. 2020;2:e200057

November 4, 2020

Lumbar MRI Reporting Efficiency for Trainees over the Academic Year: An Opportunity for Improving Clinical Workflows in Academic Medical Centers

Caton MT, Wiggins WF, Pomerantz SR, Andriole KP.

J Am Coll Radiol. 2021;18:428–434

September 8, 2020

Deep Learning for Acute Ischemic Stroke on Diffusion MRI: Performance Analysis in a Consecutive Cohort

Bizzo B, Bridge C, Gauriau R, Wiggins WF, Caton MT, Hillis J, Wright B, Tenenholtz NA, Andriole KP, Michalski M, Gonzalez RG.

Stroke vol. 50, February 2019

January 30, 2019

Interpretable Deep Learning-Based Characterization of Intracranial Hemorrhage on Head CT

Bizzo B, Hashemian B, McNitt T, Caton MT, Wiggins WF, Hillis J, Tenenholtz NA, Kitamura F, Gonzalez RG, Michalski M, Andriole KP, Pomerantz SR.