Cover Image

Introducing DEFORMISE: A deep learning framework for dementia diagnosis in the elderly using optimized MRI slice selection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ntampakis, Nikolaos, Diamantaras, Konstantinos, Chouvarda, Ioanna, Argyriou, Vasileios, Sarigianndis, Panagiotis
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech
by: Ntampakis, Nikolaos, et al.
Published: (2025)

Enhanced fringe-to-phase framework using deep learning
by: Kim, Won-Hoe, et al.
Published: (2024)

Oral squamous cell detection using deep learning
by: Sharma, Samrat Kumar Dev
Published: (2024)

Towards optimal multimode fiber imaging by leveraging input polarization and deep learning
by: Maqbool, Jawaria, et al.
Published: (2023)

Cloud gap-filling with deep learning for improved grassland monitoring
by: Tsardanidis, Iason, et al.
Published: (2024)

Early diagnosis of Alzheimer's disease from MRI images with deep learning model
by: Javid, Sajjad Aghasi, et al.
Published: (2024)

Converting T1-weighted MRI from 3T to 7T quality using deep learning
by: Gicquel, Malo, et al.
Published: (2025)

Equitable non-contact infrared thermography after solar loading using deep learning
by: Zhao, Ellin Q., et al.
Published: (2023)

LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation
by: Diakite, Alou, et al.
Published: (2024)

Gadolinium dose reduction for brain MRI using conditional deep learning
by: Pinetz, Thomas, et al.
Published: (2024)

SUFFICIENT: A scan-specific unsupervised deep learning framework for high-resolution 3D isotropic fetal brain MRI reconstruction
by: Wu, Jiangjie, et al.
Published: (2025)

Evaluating unsupervised contrastive learning framework for MRI sequences classification
by: Wang, Yuli, et al.
Published: (2025)

On the use of deep learning for phase recovery
by: Wang, Kaiqiang, et al.
Published: (2023)

Let Distortion Guide Restoration (DGR): A physics-informed learning framework for Prostate Diffusion MRI
by: Long, Ziyang, et al.
Published: (2026)

Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation
by: Epstein, Sean C., et al.
Published: (2022)

Hyperspectral image reconstruction by deep learning with super-Rayleigh speckles
by: Chen, Ziyan, et al.
Published: (2025)

BrainVoxGen: Deep learning framework for synthesis of Ultrasound to MRI
by: Singh, Shubham, et al.
Published: (2023)

CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI
by: Fischer, Paul, et al.
Published: (2025)

$μ$GUIDE: a framework for quantitative imaging via generalized uncertainty-driven inference using deep learning
by: Jallais, Maëliss, et al.
Published: (2023)

Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning
by: Legouhy, Antoine, et al.
Published: (2024)

Microwave lymphedema assessment using deep learning with contour assisted backprojection
by: Chang, Yuyi, et al.
Published: (2024)

GUSL: A Novel and Efficient Machine Learning Model for Prostate Segmentation on MRI
by: Yang, Jiaxin, et al.
Published: (2025)

Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning
by: Wang, Shanshan, et al.
Published: (2024)

Expanding the deep-learning model to diagnosis LVNC: Limitations and trade-offs
by: Bernabé, Gregorio, et al.
Published: (2023)

A multi-dynamic low-rank deep image prior (ML-DIP) for 3D real-time cardiovascular MRI
by: Chen, Chong, et al.
Published: (2025)

Probabilistic volumetric speckle suppression in OCT using deep learning
by: Chintada, Bhaskara Rao, et al.
Published: (2023)

A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization
by: Carneiro-Esteves, Sophie, et al.
Published: (2024)

Computer aided diagnosis system for Alzheimers disease using principal component analysis and machine learning based approaches
by: Lazli, Lilia
Published: (2024)

Fast multi-contrast MRI using joint multiscale energy model
by: Yaghoobi, Nima, et al.
Published: (2025)

CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy
by: Yan, Su, et al.
Published: (2026)

Self-navigated 3D diffusion MRI using an optimized CAIPI sampling and structured low-rank reconstruction
by: Li, Ziyu, et al.
Published: (2024)

Regional quality estimation for echocardiography using deep learning
by: Van De Vyver, Gilles, et al.
Published: (2024)

Quality assessment of brain structural MR images: Comparing generalization of deep learning versus hand-crafted feature-based machine learning methods to new sites
by: Kaur, Prabhjot, et al.
Published: (2026)

Rician likelihood loss for quantitative MRI using self-supervised deep learning
by: Parker, Christopher S., et al.
Published: (2023)

Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI
by: Liu, Mingxuan, et al.
Published: (2026)

RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs
by: Feng, Anqi, et al.
Published: (2024)

An effective interactive brain cytoarchitectonic parcellation framework using pretrained foundation model
by: Zhang, Shiqi, et al.
Published: (2026)

Time-resolved aortic 3D shape reconstruction from a limited number of cine 2D MRI slices
by: Wolkerstorfer, Gloria, et al.
Published: (2026)

An automated machine learning framework to optimize radiomics model construction validated on twelve clinical applications
by: Starmans, Martijn P. A., et al.
Published: (2021)

Real time enhancement of operator's ergonomics in physical human-robot collaboration scenarios using a multi-stereo camera system
by: Arvanitis, Gerasimos, et al.
Published: (2023)