© FUJIFILM Corporation

AI Research

FUJIFILM researchers are actively pursuing the goal of providing medical AI solutions to help patients around the world.
This page introduces AI related FUJIFILM’s publications and conference information.
2023.10.25
Visual Grounding of Whole Radiology Reports for 3D CT Images
2023.07.21
Detection of rib fractures on CT images with convolutional neural networks
2023.06.20
A method of reconstructing portal and hepatic vascular structures using topological accuracy
2023.05.25
A single multi-stage framework that performs automatically segmentation, localization, and identification of vertebrae
2023.04.25
Predicting progression of Alzheimer's disease by integrating multiple types of data
2023.03.29
Reinforcement learning for automatically generation of radiology reports using imbalanced dataset
2023.02.17
Development of rectal cancer segmentation AI for T-staging using image synthesis-based augmentation
2023.01.17
Super-resolution method for CT slice interval under various imaging conditions
2022.12.22
A method to segment hyperacute stroke lesions using physicians’ knowledge
2 / 3