A self-attention guided multi-scale gradient GAN for diversified x-ray image synthesis
Imbalanced image datasets are commonly available in the domain of biomedical image
analysis. Biomedical images contain diversified features that are significant in predicting …
analysis. Biomedical images contain diversified features that are significant in predicting …
Multi-institutional investigation of model generalizability for virtual contrast-enhanced MRI synthesis
The purpose of this study is to investigate the model generalizability using multi-institutional
data for virtual contrast-enhanced MRI (VCE-MRI) synthesis. This study presented a …
data for virtual contrast-enhanced MRI (VCE-MRI) synthesis. This study presented a …
Early-to-late prediction of dce-mri contrast-enhanced images in using generative adversarial networks
RD Fonnegra, ML Hernandez… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
We consider the problem of predicting early-to-late Dynamic Contrast Enhanced Magnetic
Resonance Imaging (DCE-MRI) in breast cancer sequences. This is approached with …
Resonance Imaging (DCE-MRI) in breast cancer sequences. This is approached with …
A Time-Intensity Aware Pipeline for Generating Late-Stage Breast DCE-MRI using Generative Adversarial Models
RD Fonnegra, ML Hernández, JC Caicedo… - arXiv preprint arXiv …, 2024 - arxiv.org
Contrast-enhancement pattern analysis is critical in breast magnetic resonance imaging
(MRI) to distinguish benign from probably malignant tumors. However, contrast-enhanced …
(MRI) to distinguish benign from probably malignant tumors. However, contrast-enhanced …
Mitigating Data Scarcity for Satellite Reaction Wheel Fault Diagnosis with Wasserstein Generative Adversarial Networks
MS Hedayati, A Barzegar… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Data scarcity is an issue that has been a deterrent for researchers looking to employ data-
driven fault diagnosis and prognosis methods in satellites and spacecraft. With the ongoing …
driven fault diagnosis and prognosis methods in satellites and spacecraft. With the ongoing …
TDM-stargan: Stargan using time difference map to generate dynamic contrast-enhanced MRI from ultrafast dynamic contrast-enhanced MRI
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a sensitive imaging
technique to manage many types of cancer including breast cancer. The conventional DCE …
technique to manage many types of cancer including breast cancer. The conventional DCE …
A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis
R O'Reilly - Artificial Intelligence and Cognitive Science: 30th …, 2023 - books.google.com
Imbalanced image datasets are commonly available in the domain of biomedical image
analysis. Biomedical images contain diversified features that are significant in predicting …
analysis. Biomedical images contain diversified features that are significant in predicting …
Analysis of the Generation of a Synthetic Response to the Application of Contrast Agents in Breast Medical Images Using Generative Adversarial Networks
Since different studies alerted about deposits of contrast medium in the brain after
conducting contrast-enhanced magnetic resonance examinations, developing strategies to …
conducting contrast-enhanced magnetic resonance examinations, developing strategies to …