Conference on Machine Intelligence in Medical Imaging

Adversarial Domain Adaptation for Robust Glaucoma Classification

• Homa Rashidisabet, PhD Candidate, University of Illinois Chicago,
• R.V. Paul Chan, MD, MSc, FACS; Thasarat S. Vajaranant, MD, MHA; Darvin Yi, PhD

Cross-Vendor Reproducibility of Radiomics-based Machine Learning Models for Computer-aided Diagnosis

• Jatin Chaudhary, University of Turku
• Ivan K. Jambor; Hannu Aronen, MD, MSc; Otto Ettala, MD; Jani Saunavaara, PhD; Peter Bostrom, MD, PhD; Jukka Heikkonen, DTech; Rajeev Kanth, DSc; Harri Merisaari, PhD

From AI to Eye: Training the Radiologist with Deep Learning Interpretations in Sex Differentiation

• Mana Moassefi, MD, Mayo Clinic
• Shahriar Faghani, MD; Christin A. Tiegs-Heiden, MD; Garret Powell, MD; Micheal Ringler, MD; Bradley Erickson, MD, PhD, CIIP, FSIIM; Nicholas Rhodes, MD

Impact of Random Prostate Volume Modifications on Automated Segmentation Model Performance

• Dominic LaBella, MD, Duke University Medical Center
• Michaela Kop; Xuan Qi, PhD; Thomas Sanford, MD

Replicating and Validating Radiomics-Based Prediction of PD-L1 Expression Status in NSCLC Patients

• Anna Theresa Stüber, MSc, LMU University Hospital, LMU Munich
• Maurice Heimer, MD; Clemens C. Cyran, MD; Michael Ingrisch, PhD

Transparent Radiomics ML Model: Combining Human and Artificial Intelligence for Prediction of Therapy Outcomes

• Shrey S. Sukhadia, MS, PhD, Dartmouth Health
• Crisi Patel; Adrienne A. Workman, MD; Roberta M. diFlorio-Alexander, MD; Marthony L. Robins, PhD