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Alzheimer's is a neurodegenerative disease that is the most common form of dementia, but there is still no definitive cure for this disease. The noninvasive X-ray Phase Contrast Tomography (XPCT) imaging technique was used to study brain…

Medical Physics · Physics 2023-06-07 A. Politano , L. Massimi , N. Pieroni1 , F. Palermo , A. Sanna , M. Fratini , I. Bukreeva , C. Balducci , A. Cedola

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and a major cause of dementia. Structural MRI is widely used to analyze AD-related brain atrophy; however, most deep learning methods rely on computationally expensive 3D…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Towhidul Islam , Mufti Mahmud

A leading interpretation of the electron/positron excesses seen by PAMELA and ATIC is dark matter annihilation in the galactic halo. Depending on the annihilation channel, the electron/positron signal could be accompanied by a galactic…

High Energy Physics - Phenomenology · Physics 2009-09-29 Jeremy Mardon , Yasunori Nomura , Daniel Stolarski , Jesse Thaler

Alzheimer's Disease (AD) is a non-curable progressive neurodegenerative disorder that affects the human brain, leading to a decline in memory, cognitive abilities, and eventually, the ability to carry out daily tasks. Manual diagnosis of…

Image and Video Processing · Electrical Eng. & Systems 2024-09-13 Santanu Roy , Archit Gupta , Shubhi Tiwari , Palak Sahu

Myocardial infarction (MI) is one of the most prevalent cardiovascular diseases and consequently, a major cause for mortality and morbidity worldwide. Accurate assessment of myocardial tissue viability for post-MI patients is critical for…

Image and Video Processing · Electrical Eng. & Systems 2024-09-20 Franz Thaler , Darko Stern , Gernot Plank , Martin Urschler

Alzheimer's disease (AD) progresses through distinct stages, from early mild cognitive impairment (EMCI) to late mild cognitive impairment (LMCI) and eventually to AD. Accurate identification of these stages, especially distinguishing LMCI…

Computer Vision and Pattern Recognition · Computer Science 2025-01-13 Aswini Kumar Patra , Soraisham Elizabeth Devi , Tejashwini Gajurel

Robust forecasting of the future anatomical changes inflicted by an ongoing disease is an extremely challenging task that is out of grasp even for experienced healthcare professionals. Such a capability, however, is of great importance…

Computer Vision and Pattern Recognition · Computer Science 2022-11-09 Dmitrii Lachinov , Arunava Chakravarty , Christoph Grechenig , Ursula Schmidt-Erfurth , Hrvoje Bogunovic

Age-related macular degeneration (AMD) may cause severe loss of vision or blindness particularly in elderly people. Exudative AMD is characterized by angiogenesis of blood vessels growing from underneath the macula, crossing the…

Biological Physics · Physics 2021-04-02 Rocío Vega , Manuel Carretero , Luis L. Bonilla

There is growing interest in understanding how the structural interconnections among brain regions change with the occurrence of neurological diseases. Diffusion weighted MRI imaging has allowed researchers to non-invasively estimate a…

Applications · Statistics 2015-10-20 Daniele Durante , Madelaine Daianu , Neda Jahanshad , Paul M. Thompson , David B. Dunson

Alzheimer's disease affects over 55 million people worldwide and is projected to more than double by 2050, necessitating rapid, accurate, and scalable diagnostics. However, existing approaches are limited because they cannot achieve…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Ahmed Sharshar , Yasser Ashraf , Tameem Bakr , Salma Hassan , Hosam Elgendy , Mohammad Yaqub , Mohsen Guizani

Being the most commonly known neurodegeneration, Alzheimer's Disease (AD) is annually diagnosed in millions of patients. The present medical scenario still finds the exact diagnosis and classification of AD through neuroimaging data as a…

Image and Video Processing · Electrical Eng. & Systems 2025-03-19 Shravan Venkatraman , Pandiyaraju V , Abeshek A , Pavan Kumar S , Aravintakshan S A

This manuscript proposes a significant step in our long-run investigation of infant mortality across species. Since 2016 (Berrut et al. 2016) a succession of studies (Bois et al. 2019) have traced infant mortality from organisms of high…

Cell Behavior · Quantitative Biology 2021-03-26 Eduardo M. Garcia-Roger , Peter Richmond , Bertrand M. Roehner

It is acknowledged that the most common cause of dementia worldwide is Alzheimer's disease (AD). This condition progresses in severity from mild to severe and interferes with people's everyday routines. Early diagnosis plays a critical role…

Image and Video Processing · Electrical Eng. & Systems 2024-09-30 Sajjad Aghasi Javid , Mahmood Mohassel Feghhi

Stroke is the second most frequent cause of death world wide with an annual mortality of around 5.5 million. Recurrence rates of stroke are between 5 and 25% in the first year. As mortality rates for relapses are extraordinarily high (40%)…

Interruptions in nonlinear wave propagation, commonly referred to as wave breaks, are typical of many complex excitable systems. In the heart they lead to fatal rhythm disorders, the so-called arrhythmias, which are one of the main causes…

X-ray scattering measurements of in situ human brain tissue encode structural signatures of pathological cross-$\beta$ inclusions, yet systematic exploitation of these data for automated detection remains challenging due to substrate…

Image and Video Processing · Electrical Eng. & Systems 2025-11-18 Abdullah Al Bashit , Prakash Nepal , Lee Makowski

Spontaneous brain activity generically displays transient spatiotemporal coherent structures, which can selectively be affected in various neurological and psychiatric pathologies. Here we model the full brain's electroencephalographic…

Neurons and Cognition · Quantitative Biology 2025-02-25 Annalisa Caligiuri , David Papo , Görsev Yener , Bahar Güntekin , Tobias Galla , Lucas Lacasa , Massimiliano Zanin

Unveiling pathological brain changes associated with Alzheimer's disease (AD) is a challenging task especially that people do not show symptoms of dementia until it is late. Over the past years, neuroimaging techniques paved the way for…

Quantitative Methods · Quantitative Biology 2018-08-07 Mayssa Soussia , Islem Rekik

Background: Non-linear alterations in brain network connectivity may represent early neural signatures of Alzheimer's disease (AD) pathology in cognitively normal older adults. Understanding these changes and their cognitive relevance may…

Neurons and Cognition · Quantitative Biology 2026-04-22 Junjie Wu , Benjamin B Risk , Taylor A James , Nicholas Seyfried , David W Loring , Felicia C Goldstein , Allan I Levey , James J Lah , Deqiang Qiu

Optical Coherence Tomography Angiography (OCTA) is a promising tool for detecting Alzheimer's disease (AD) by imaging the retinal microvasculature. Ophthalmologists commonly use region-based analysis, such as the ETDRS grid, to study OCTA…

Image and Video Processing · Electrical Eng. & Systems 2023-11-13 Shouyue Liu , Jinkui Hao , Yanwu Xu , Huazhu Fu , Xinyu Guo , Jiang Liu , Yalin Zheng , Yonghuai Liu , Jiong Zhang , Yitian Zhao