Conference on Machine Intelligence in Medical Imaging

Automated Pancreatic Perivascular Adipose Tissue Detection on Abdominal CT as a Biomarker for Type 2 Diabetes

• Anisa V. Prasad, National Institutes of Health
• Tejas S. Mathai, PhD; Pritam Mukherjee, PhD; Abhinav Suri, MPH; Jianfei Liu; Ronald M. Summers, MD, PhD

Deep Learning for Incidental Parotid Tumors on CT: Optimal Methods for Screening and Segmentation

• Wei Shao, PhD Student, UC Irvine
• Shirin Salehi; Chanon Chantaduly; Hayden Troutt, MPH; Peter Chang, MD

Global Local Attention for Prostate Zonal Segmentation

• Chetana Krishnan, University of Alabama at Birmingham
• Ezinwanne Onuoha, PhD; Alex Hung, PhD; Kyung H. Sung, PhD; Harrison Kim, PhD

Liver Surface Nodularity for Staging Hepatic Fibrosis on CT: A Comparative Study of Liver Segmenters

• Tejas S. Mathai, PhD, National Institutes of Health (NIH)
• Meghan G. Lubner, MD; Perry J. Pickhardt, MD; Ronald M. Summers, MD, PhD

Opportunistic Detection of Splenomegaly Using Automated AI-Based Measurements and Reporting of Organ Volumes in the Clinical Workflow

• David Y. Zhang, PhD Candidate, University of Pennsylvania
• Ari Borthakur, PhD, MBA; Jeffrey Duda, PhD; Neil Chatterjee, MD, PhD; Rohan Valia; James C. Gee, PhD; Charles E. Kahn, MD, MS, FSIIM; Daniel J. Rader, MD; Hersh Sagreiya, MD; Walter Witschey, PhD

Validation of UniverSeg for Interventional Abdominal Angiographic Segmentation

• Michael J. Kovalchick, PhD Candidate, Wayne State University
• Chad Klochko, MD; Kundan Thind, PhD