Conference on Machine Intelligence in Medical Imaging

A Technical Exploration of Bone Age Prediction with Machine Learning Regression Algorithms: Conformal Prediction

• Kelly Horst, MD, Mayo Clinic
• Shahriar Faghani, MD; Bradley J. Erickson, MD, PhD, CIIP, FSIIM

Automated Identification of Challenging Samples in Medical Imaging for Unbiased AI Model Training

• Frank Li, PhD, MS, Emory University
• Theo Dapamede, MD, PhD; Bardia Khosravi, MD, MPH, MHPE; Mohammadreza Chavoshi, MD; Saptarshi Purkayastha, PhD; Hari Trivedi, MD; Judy Gichoya, MD, MS, FSIIM

Development of a Calculator for External Validation Study Sample Size in Radiology AI

• Mana Moassefi, MD
• Shahriar Faghani, MD; Bradley Erickson, MD, PhD, CIP, FSIIM

Dissecting the Impact of Data Augmentation on Whole Slide Image Classification

• Dagoberto Pulido Arias, PhD, Massachusetts General Hospital
• Tiago Gonçalves, MSc; Jaime Cardoso, PhD; Jayashree Kalpathy-Cramer, PhD; Elizabeth Gerstner, MD; Albert Kim, MD; Christopher Bridge, DPhil

Iterations on a Classic: A Robust Hand Bone Age Algorithm Resistant to Computational Stress

• Kelly Horst, MD, Mayo Clinic
• Bradley Erickson, MD, PhD, CIIP, FSIIM; Shahriar Faghani, MD

Unveiling Bias in AI Model Training Data: Exploring the Impact of Intrinsic Data Variability on Lung Ultrasound Video Classification Models

• Saunak Bhattacharjee, Boston University
• Umair Khan, PhD; Russell Thompson, PhD; Lauren P. Etter; Ingrid Camelo, MD; Rachel C. Pieciak, MS; Ilse Castro-Aragon, MD; Bindu Setty, MD; Christopher C. Gill, MD; Margrit Betke, PhD