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AI Research

At FUJIFILM, many engineers research and develop AI technologies to provide even better medical AI to the world.
This page introduces AI related jounals published by FUJIFILM's AI engineers, and AI-related conference information.
2023.11.06
Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network
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
2022.09.29
A Training Method to Build Characterization Models for Pulmonary Nodules in CT Images Using Radiology Reports
2022.09.29
A Deep Learning-based CT Classification System for COVID-19
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