Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Jussi Tohka"'
Autor:
Elaheh Moradi, Mithilesh Prakash, Anette Hall, Alina Solomon, Bryan Strange, Jussi Tohka, for the Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-18 (2024)
Abstract Background The pathophysiology of Alzheimer’s disease (AD) involves $$\beta$$ β -amyloid (A $$\beta$$ β ) accumulation. Early identification of individuals with abnormal $$\beta$$ β -amyloid levels is crucial, but A $$\beta$$ β quantif
Externí odkaz:
https://doaj.org/article/596ebd8df5d7413a962e93cc0fa81edf
Autor:
Nikita Mikhailov, Anaïs Virenque, Kseniia Koroleva, Elisa Eme-Scolan, Matei Teleman, Ali Abdollahzadeh, Raisa Giniatullina, Oleg Gafurov, Georgii Krivoshein, Tarja Malm, Riikka H. Hämäläinen, Alejandra Sierra, Jussi Tohka, Rejane Rua, Francesco M. Noe, Rashid Giniatullin
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract A system of lymphatic vessels has been recently characterized in the meninges, with a postulated role in ‘cleaning’ the brain via cerebral fluid drainage. As meninges are the origin site of migraine pain, we hypothesized that malfunction
Externí odkaz:
https://doaj.org/article/613a7cfcc49742c485b8f4d089339b8c
Publikováno v:
Neuroimage: Reports, Vol 2, Iss 4, Pp 100127- (2022)
Predictive modeling studies have started to reveal brain measures underlying cognition; however, most studies are based on cross-sectional data (brain measures acquired at one time point). Since brain development comprises of continuously ongoing eve
Externí odkaz:
https://doaj.org/article/4eb1f6cb503f45f1878e52013692b2a4
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Non-invasive magnetic resonance imaging (MRI) methods have proved useful in the diagnosis and prognosis of neurodegenerative diseases. However, the interpretation of imaging outcomes in terms of tissue pathology is still challenging. This study goes
Externí odkaz:
https://doaj.org/article/a598badfba674fb6a7ccfa349c3a5a46
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-14 (2021)
With DeepACSON, Abdollahzadeh et al. combines existing deep learning-based methods for semantic segmentation and a novel shape decomposition technique for the instance segmentation. The pipeline is used to segment low-resolution 3D-EM datasets allowi
Externí odkaz:
https://doaj.org/article/ceef10eba1c14eabaaaea963abe3d645
Publikováno v:
IEEE Access, Vol 9, Pp 23979-23995 (2021)
We develop a cylindrical shape decomposition (CSD) algorithm to decompose an object, a union of several tubular structures, into its semantic components. We decompose the object using its curve skeleton and restricted translational sweeps. For that,
Externí odkaz:
https://doaj.org/article/24845366d996497da2d2501e8a7980b8
Publikováno v:
IEEE Access, Vol 9, Pp 154275-154291 (2021)
The Alzheimer’s Disease Assessment Scale-Cognitive subscale (ADAS-Cog) is a neuropsychological tool that has been designed to assess the severity of cognitive symptoms of dementia. Personalized prediction of the changes in ADAS-Cog scores could hel
Externí odkaz:
https://doaj.org/article/ee5170abe6c748e0b07b65313ef11c6b
Autor:
Riccardo De Feo, Elina Hämäläinen, Eppu Manninen, Riikka Immonen, Juan Miguel Valverde, Xavier Ekolle Ndode-Ekane, Olli Gröhn, Asla Pitkänen, Jussi Tohka
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
Registration-based methods are commonly used in the automatic segmentation of magnetic resonance (MR) brain images. However, these methods are not robust to the presence of gross pathologies that can alter the brain anatomy and affect the alignment o
Externí odkaz:
https://doaj.org/article/c850e16bb8b54a38ab7a0292a30b4aec
Autor:
Karthik Chary, Omar Narvaez, Raimo A. Salo, Isabel San Martín Molina, Jussi Tohka, Manisha Aggarwal, Olli Gröhn, Alejandra Sierra
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Our study investigates the potential of diffusion MRI (dMRI), including diffusion tensor imaging (DTI), fixel-based analysis (FBA) and neurite orientation dispersion and density imaging (NODDI), to detect microstructural tissue abnormalities in rats
Externí odkaz:
https://doaj.org/article/ac63af19e9f04287a49b5031ab1eb3a3
Autor:
Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo De Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michał Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walińska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf
Publikováno v:
NeuroImage, Vol 238, Iss , Pp 118216- (2021)
Accurate detection and quantification of unruptured intracranial aneurysms (UIAs) is important for rupture risk assessment and to allow an informed treatment decision to be made. Currently, 2D manual measures used to assess UIAs on Time-of-Flight mag
Externí odkaz:
https://doaj.org/article/dca4f5da06bc407783d684467324f4e5