Richard A. D. Carano

According to our database, Richard A. D. Carano authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A Task-Conditional Mixture-of-Experts Model for Missing Modality Segmentation.

Philip Novosad, Richard A. D. Carano, Anitha Priya Krishnan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

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

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

Multimodal Super Resolution with Dual Domain Loss and Gradient Guidance.

Anitha Priya Krishnan, Roshan Reddy Upendra, Aniket Pramanik, Zhuang Song, Richard A. D. Carano

Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

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

Kidney segmentation using 3D U-Net localized with Expectation Maximization.

Omid Bazgir, Kai Barck, Richard A. D. Carano, Robby M. Weimer, Luke Xie

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020