Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study

CJ Preetha, H Meredig, G Brugnara… - The Lancet Digital …, 2021 - thelancet.com
Background Gadolinium-based contrast agents (GBCAs) are widely used to enhance tissue
contrast during MRI scans and play a crucial role in the management of patients with cancer …

Reducing gadolinium contrast with artificial intelligence

B Tsui, E Calabrese, G Zaharchuk… - Journal of Magnetic …, 2023 - 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 …

Toward deep learning replacement of gadolinium in neuro-oncology: A review of contrast-enhanced synthetic MRI

E Moya-Sáez, R de Luis-García… - Frontiers in …, 2023 - frontiersin.org
Gadolinium-based contrast agents (GBCAs) have become a crucial part of MRI acquisitions
in neuro-oncology for the detection, characterization and monitoring of brain tumors …

Provably convergent learned inexact descent algorithm for low-dose ct reconstruction

Q Zhang, M Alvandipour, W Xia, Y Zhang, X Ye… - Journal of Scientific …, 2024 - Springer
Abstract We propose an Efficient Inexact Learned Descent-type Algorithm (ELDA) for a class
of nonconvex and nonsmooth variational models, where the regularization consists of a …

Deep learning identifies neuroimaging signatures of alzheimer's disease using structural and synthesized functional mri data

N Zhu, C Liu, X Feng, D Sikka… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
Current neuroimaging techniques provide paths to investigate the structure and function of
the brain in vivo and have made great advances in understanding Alzheimer's disease (AD) …

Skin Cancer Detection Based on Machine Learning

Y Wei, D Zhang, M Gao, A Mulati, C Zheng… - Journal of Knowledge …, 2024 - jklst.org
Skin cancer, particularly melanoma, poses a significant health risk, accounting for the
majority of skin cancer-related fatalities in the United States. Despite representing a small …

Methods of Increasing Training Data for a 3D Neural Network for Alzheimer's Disease Diagnosis

VO Yachnaya, MA Mikhalkova - 2024 Wave Electronics and its …, 2024 - ieeexplore.ieee.org
Alzheimer's disease (AD) is the most common cause of dementia among older adults. As it is
associated with brain cell death and mass losses, deep learning and computer vision are …

Enhancing Brain Age Estimation with a Multimodal 3D CNN Approach Combining Structural MRI and AI-Synthesized Cerebral Blood Volume Data

J Jomsky, Z Li, Y Zhang, J Guo - arXiv preprint arXiv:2412.01865, 2024 - arxiv.org
The growing global aging population necessitates enhanced methods for assessing brain
aging and related neurodegenerative changes. Brain Age Gap Estimation (BrainAGE) offers …

Fusing Multiple Information Sources for Predictive Cardiac Modeling

Z Feng - 2024 - cdr.lib.unc.edu
Echocardiography is typically the first-line imaging study for most cardiac diagnoses due to
its versatility and cost-effectiveness. There is considerable interest in predictive machine …

Transmitter Localization and Optimizing Initial State in Classical/Quantum Sensor Networks

C Zhan - 2024 - search.proquest.com
In shared spectrum systems, it is important to be able to localize simultaneously present
multiple intruders (unauthorized transmitters) to effectively protect a shared spectrum from …