Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion

16 April 2020

Papers citing "Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion"

3 / 3 papers shown

Title
Imaging foundation model for universal enhancement of non-ideal measurement CT Yuxin Liu Rongjun Ge Yuting He Zhan Wu Chenyu You Yuan Gao Chenyu You Ge Wang Yang Chen Shuo Li MedIm 29 2 0 02 Oct 2024
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy Biling Wang M. Dohopolski T. Bai Junjie Wu R. Hannan ... D. Nguyen Mu-Han Lin Robert Timmerman Xinlei Wang Steve B. Jiang 30 2 0 11 Oct 2022
Multitask 3D CBCT-to-CT Translation and Organs-at-Risk Segmentation Using Physics-Based Data Augmentation N. Dahiya S. Alam Pengpeng Zhang Si-Yuan Zhang A. Yezzi Saad Nadeem 27 29 0 09 Mar 2021