Michael H. Rosenthal

According to our database, Michael H. Rosenthal authored at least 3 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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

Walter F. Wiggins, Michael Travis Caton, Kirti Magudia, Michael H. Rosenthal, Katherine P. Andriole

J. Digit. Imaging, 2021

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

Kirti Magudia, Christopher P. Bridge, Katherine P. Andriole, Michael H. Rosenthal

J. Digit. Imaging, 2021

2018

Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks.

Christopher P. Bridge, Michael H. Rosenthal, Bradley Wright, Gopal Kotecha, Florian J. Fintelmann, Fabian M. Troschel, Nityanand Miskin, Khanant Desai, William Wrobel, Ana Babic, Natalia Khalaf, Lauren Brais, Marisa Welch, Caitlin Zellers, Neil A. Tenenholtz, Mark Michalski, Brian Wolpin, Katherine P. Andriole

Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018