Picture for Mark Michalski

Mark Michalski

DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning

Jul 04, 2019
Jen-Tang Lu, Rupert Brooks, Stefan Hahn, Jin Chen, Varun Buch, Gopal Kotecha, Katherine P. Andriole, Brian Ghoshhajra, Joel Pinto, Paul Vozila, Mark Michalski, Neil A. Tenenholtz

Figure 1 for DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning

Figure 2 for DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning

Figure 3 for DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning

Figure 4 for DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning

* Accepted for publication at MICCAI 2019

Access Paper or Ask Questions

Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

Sep 13, 2018
Hoo-Chang Shin, Neil A Tenenholtz, Jameson K Rogers, Christopher G Schwarz, Matthew L Senjem, Jeffrey L Gunter, Katherine Andriole, Mark Michalski

Figure 1 for Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

Figure 2 for Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

Figure 3 for Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

Figure 4 for Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

* Accepted for 2018 Workshop on Simulation and Synthesis in Medical Imaging - SASHIMI2018

Access Paper or Ask Questions