Zobrazeno 1 - 10
of 7 365
pro vyhledávání: '"A Gholipour"'
In this paper, we introduce a Universal Motion Correction (UniMo) framework, leveraging deep neural networks to tackle the challenges of motion correction across diverse imaging modalities. Our approach employs advanced neural network architectures w
Externí odkaz:
http://arxiv.org/abs/2409.14204
Autor:
Lin, Rizhong, Kebiri, Hamza, Gholipour, Ali, Chen, Yufei, Thiran, Jean-Philippe, Karimi, Davood, Cuadra, Meritxell Bach
Diffusion Magnetic Resonance Imaging (dMRI) is a non-invasive method for depicting brain microstructure in vivo. Fiber orientation distributions (FODs) are mathematical representations extensively used to map white matter fiber configurations. Recent
Externí odkaz:
http://arxiv.org/abs/2409.01195
Autor:
Karimi, Davood, Calixto, Camilo, Snoussi, Haykel, Cortes-Albornoz, Maria Camila, Velasco-Annis, Clemente, Rollins, Caitlin, Jaimes, Camilo, Gholipour, Ali, Warfield, Simon K.
Diffusion-weighted MRI is increasingly used to study the normal and abnormal development of fetal brain in-utero. Recent studies have shown that dMRI can offer invaluable insights into the neurodevelopmental processes in the fetal stage. However, bec
Externí odkaz:
http://arxiv.org/abs/2409.06716
Autor:
Gholipour, Hamed, Bozorgnia, Farid, Hambarde, Kailash, Mohammadigheymasi, Hamzeh, Mancilla, Javier, Sequeira, Andre, Neves, Joao, Proença, Hugo
Laplacian learning method is a well-established technique in classical graph-based semi-supervised learning, but its potential in the quantum domain remains largely unexplored. This study investigates the performance of the Laplacian-based Quantum Se
Externí odkaz:
http://arxiv.org/abs/2408.05498
In this paper, we introduce SpaER, a pioneering method for fetal motion tracking that leverages equivariant filters and self-attention mechanisms to effectively learn spatio-temporal representations. Different from conventional approaches that static
Externí odkaz:
http://arxiv.org/abs/2407.20198
Autor:
Calixto, Camilo, Soldatelli, Matheus D., Li, Bo, Pierotich, Lana, Gholipour, Ali, Warfield, Simon K., Karimi, Davood
There is a growing interest in using diffusion MRI to study the white matter tracts and structural connectivity of the fetal brain. Recent progress in data acquisition and processing suggests that this imaging modality has a unique role in elucidatin
Externí odkaz:
http://arxiv.org/abs/2408.03942
Publikováno v:
Journal of Medicinal Plants, Vol 18, Iss 72, Pp 66-80 (2019)
Background: Increased Gastric residual volume (GRV) is one of the common problems in ICU. Objective: The aim of this study was to determine the effect of cumin extract on gastric residual volume in patients with traumatic episodes hospitalized in ICU
Externí odkaz:
https://doaj.org/article/9ec947204842431081a5081ffa14f37c
HAITCH: A Framework for Distortion and Motion Correction in Fetal Multi-Shell Diffusion-Weighted MRI
Diffusion magnetic resonance imaging (dMRI) is pivotal for probing the microstructure of the rapidly-developing fetal brain. However, fetal motion during scans and its interaction with magnetic field inhomogeneities result in artifacts and data scatt
Externí odkaz:
http://arxiv.org/abs/2406.20042
Autor:
Boylan, Jack, Mangla, Shashank, Thorn, Dominic, Ghalandari, Demian Gholipour, Ghaffari, Parsa, Hokamp, Chris
This study explores the use of Large Language Models (LLMs) for automatic evaluation of knowledge graph (KG) completion models. Historically, validating information in KGs has been a challenging task, requiring large-scale human annotation at prohibi
Externí odkaz:
http://arxiv.org/abs/2404.15923
Micro-Raman spectroscopy of graphene defects and tracing the oxidation process caused by UV exposure
Raman spectroscopy is one of the widely used methods in the analysis of various samples including carbon-based materials. This study aimed to identify the number of layers and defects in graphene using micro-Raman spectroscopy. More specifically, the
Externí odkaz:
http://arxiv.org/abs/2403.13191