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Mark Michalski

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

5

Venues

1

Active years

2018–2019

Best venue rank

A

Where they publish

Papers

5 indexed papers, newest first.

YearVenueTitleAuthors
2019MICCAIDeepAAA: Clinically Applicable and Generalizable Detection of Abdominal Aortic Aneurysm Using Deep Learning.Jen-Tang Lu, Rupert Brooks, Stefan Hahn, Jin Chen, Varun Buch, Gopal Kotecha, Katherine P. Andriole, Brian B. Ghoshhajra, Joel Pinto, Paul Vozila, Mark Michalski, Neil A. Tenenholtz
2019MICCAI4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences.Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth
2018MICCAIFully-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
2018MICCAIDetection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine Learning.Stefano Pedemonte, Bernardo Bizzo, Stuart R. Pomerantz, Neil A. Tenenholtz, Bradley Wright, Mark Walters, Sean Doyle, Adam McCarthy, Renata Rocha De Almeida, Katherine P. Andriole, Mark Michalski, R. Gilberto Gonzlez
2018MICCAIMedical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks.Hoo-Chang Shin, Neil A. Tenenholtz, Jameson K. Rogers, Christopher G. Schwarz, Matthew L. Senjem, Jeffrey L. Gunter, Katherine P. Andriole, Mark Michalski