AI Applications to Breast MRI: Today and Tomorrow

R Lo Gullo, J Brunekreef, E Marcus… - Journal of Magnetic …, 2024 - Wiley Online Library
In breast imaging, there is an unrelenting increase in the demand for breast imaging
services, partly explained by continuous expanding imaging indications in breast diagnosis …

Reducing gadolinium contrast with artificial intelligence

B Tsui, E Calabrese, G Zaharchuk… - Journal of Magnetic …, 2024 - Wiley Online Library
Gadolinium contrast is an important agent in magnetic resonance imaging (MRI), particularly
in neuroimaging where it can help identify blood–brain barrier breakdown from an …

Adaptive fractional-order genetic-particle swarm optimization Otsu algorithm for image segmentation

L Chen, J Gao, AM Lopes, Z Zhang, Z Chu, R Wu - Applied Intelligence, 2023 - Springer
Abstract The two-dimensional (2D) Otsu algorithm used in image segmentation considers
both the gray scale information of the image and the spatial information contained in the …

Pre-to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation

R Osuala, S Joshi, A Tsirikoglou, L Garrucho… - arXiv preprint arXiv …, 2023 - arxiv.org
Despite its benefits for tumour detection and treatment, the administration of contrast agents
in dynamic contrast-enhanced MRI (DCE-MRI) is associated with a range of issues …

Pre-to post-contrast breast MRI synthesis for enhanced tumour segmentation

R Osuala, S Joshi, A Tsirikoglou… - Medical Imaging …, 2024 - spiedigitallibrary.org
Despite its benefits for tumour detection and treatment, the administration of contrast agents
in dynamic contrast-enhanced MRI (DCE-MRI) is associated with a range of issues …

DCE-diff: Diffusion Model for Synthesis of Early and Late Dynamic Contrast-Enhanced MR Images from Non-Contrast Multimodal Inputs

S Ramanarayanan, A Sarkar… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is pivotal in
delineating abnormal lesions and cancerous regions in the anatomy of interest. However …

[HTML][HTML] Cancer treatment precision strategies through optimal control theory

AJ Abougarair, AA Oun, SI Sawan… - Journal of Robotics …, 2024 - journal.umy.ac.id
Lung cancer is a highly heterogeneous disease, with diverse genetic, molecular, and
cellular drivers that can vary significantly between individual patients and even within a …

Advancing Medical Imaging Through Generative Adversarial Networks: A Comprehensive Review and Future Prospects

AA Mamo, BG Gebresilassie, A Mukherjee… - Cognitive …, 2024 - Springer
In medical imaging, traditional methods have long been relied upon. However, the
integration of Generative Adversarial Networks (GANs) has sparked a paradigm shift …

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 …

Virtual dynamic contrast enhanced breast MRI using 2D U-Net Architectures.

H Schreiter, J Eberle, LA Kapsner, D Hadler… - medRxiv, 2024 - medrxiv.org
Breast Magnetic Resonance Imaging (MRI) examinations routinely include contrast-agent
based dynamic contrast-enhanced (DCE) acquisitions. Expanding the accessibility and …