Conference on Machine Intelligence in Medical Imaging

Advancing Endometriosis Detection: A Deep Learning-Enhanced multi-sequence MRI Analytical Model

• Mana Moassefi, MD, Mayo Clinic – Rochester
• Wendaline VanBuren, MD; Bradley J. Erickson, MD, PhD, CIIP, FSIIM; Shahriar Faghani, MD

Automated Detection of Tricuspid Regurgitation Using Multiple Instance Learning on Doppler Echocardiograms

• Anthony T. Wu, University of California, Irvine
• Nathan H. Choi; Amanda Warren; Gavin Shu, MS; Tobin Matthew, MD; Kyle Digrande, MD; Antonio Frangieh, MD; Jin Kyung Kim, MD, PhD; Xiaohui Xie, PhD; Peter Chang, MD; Jennifer Xu, MD

Iterations on a Classic: A Novel Machine Learning Algorithm for the Establishment of Pediatric Bone Age Using Knee Radiographs

• Kelly Horst, MD, Mayo Clinic
• Bradley Erickson, MD, PhD, CIIP, FSIIM; Adam Tagliero, MD; Aaron Krych, MD; Shahriar Faghani, MD

Iterations on a Classic: Utilizing DenseNet121 for Gender Differentiation in Pediatric Bone Age Assessment Algorithms

• Kelly Horst, MD, Mayo Clinic
• Shahriar Faghani, MD

On-demand Generation of Probabilistic Models for Radiology Differential Diagnosis from Real-world Data

• Charles E. Kahn, Jr., MD, MS, FSIIM, University of Pennsylvania

Predicting Brain Age in Autism Spectrum Disorders Using Graph Neural Networks

• Anureet Tiwana, MSc, University of Alberta
• James Ross Mitchell, PhD