Kidney segmentation using 3D U-Net localized with Expectation Maximization. - Omid Bazgir; Kai Barck; Richard A. D. Carano; Robby M. Weimer; Luke Xie (SSIAI, 2020)

Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks. - Skander Jemaa; Jill Fredrickson; Richard A. D. Carano; Tina Nielsen; Alex de Crespigny; Thomas Bengtsson (J. Digit. Imaging, 2020)

Multimodal Super Resolution with Dual Domain Loss and Gradient Guidance. - Anitha Priya Krishnan; Roshan Reddy Upendra; Aniket Pramanik; Zhuang Song; Richard A. D. Carano (SASHIMI@MICCAI, 2022)

Heart and bladder detection and segmentation on FDG PET/CT by deep learning. - Xiaoyong Wang; Skander Jemaa; Jill Fredrickson; Alexandre Fernandez Coimbra; Tina Nielsen; Alex de Crespigny; Thomas Bengtsson; Richard A. D. Carano (BMC Medical Imaging, 2022)

Deep Ensembles Are Robust to Occasional Catastrophic Failures of Individual DNNs for Organs Segmentations in CT Images. - Yury Petrov; Bilal Malik; Jill Fredrickson; Skander Jemaa; Richard A. D. Carano (J. Imaging Inform. Medicine, 2023)

A Task-Conditional Mixture-of-Experts Model for Missing Modality Segmentation. - Philip Novosad; Richard A. D. Carano; Anitha Priya Krishnan (MICCAI (9), 2024)

Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning. - Mahsa Torkaman; Skander Jemaa; Jill Fredrickson; Alexandre Fernandez Coimbra; Alex de Crespigny; Richard A. D. Carano (BMC Medical Imaging, 2025)