Conference on Artificial Intelligence in Medical Imaging

AI-Assisted Radiologist Curation of PANORAMA for PDAC Tumor Segmentation Benchmarking 

• Khurram Khaliq Bhinder, MBBS, Mayo Clinic 
• Sovanlal Mukherjee, PhD; Angela Ammirabile, MD, PhD; Armin Zarrintan, MD; Takeru Yamaguchi, MD, PhD; Baloy J. Talukdar, MD; Subhosree Dey, MBBS, MD; Ahmed K. Jadoon, MBBS; Ajit H. Goenka, MD 

 

Class-Conditional Conformal Prediction for Three-class WHO 2021 Glioma Molecular Subtyping: Development and External Validation of an MRI Radiomics Model 

• Ramkumar Rajabathar Babu Jai Shanker, MS, University of Chicago 
• Jonathan Neilio, MD; Daniel Ginat, MD, MS 

 

Comparative Performance of Deep Learning Architectures for Breast Tumor Segmentation on Multicenter DCE-MRI 

• Loyani Loyani, MS, PhD Student, Emory University 
• Biniam A. Garomsa, PhD Student; Frank Li, PhD; Hari M. Trivedi, MD; Judy W. Gichoya, MD, MS, FSIIM 

 

DBSI-Net: Artificial Intelligence Detection of Clinically Significant Prostate Cancer Using Diffusion Basis Spectrum Imaging and Biparametric MRI 

• Govind Mattay, MD, MBA, Mallinckrodt Institute of Radiology 
• Kainen Utt, PhD; Huaping Jing; Eric Kim, MD; Joel Vetter, MS; Sheng-Kwei Song, PhD; Joseph Ippolito, MD, PhD 

 

Distinct Interpretable Prostate-Specific Membrane Antigen Positron Emission Tomography Phenotypes Predict Depth of Response and Durability After Lutetium-177 Radioligand Therapy 

• Nicolas Atwood, Oregon Health & Science University 
• Nadine Mallak, MD; Sebastian Obrzut, MD; Celeste Winters, PhD 

 

Peritumoral CT Radiomics Encodes Tumor Biology Across Molecular, Immune and Clinical Endpoints in NSCLC 

• Morteza Rezanejad, PhD, Genmab 
• Sheng Yi, MS; Indu Khatri, PhD; Iris Kolder, PhD; Teng Jin Ong, MD; Craig Thalhauser, PhD; Lauren K. Brady, PhD