Results 191 to 200 of about 6,997,548 (275)

Deep Learning for the Automatic Segmentation of Extracranial Venous Malformations of the Head and Neck from MR Images Using 3D U-Net. [PDF]

J Clin Med, 2022
Ryu JY, Hong HK, Cho HG, Lee JS, Yoo BC, Choi MH, Chung HY.   +6 more
europepmc   +1 more source

Baseline Neuroinflammation Stratifies TSPO‐PET Response to Disease‐Modifying Therapy in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch, Markus Matilainen, Giulia N. Baldrighi, Marjo Nylund, Maija Saraste, Laura Airas   +5 more
wiley   +1 more source

Automated segmentation of the fibula from CT imaging using two-stepped deep learning in 3D U-Net architectures. [PDF]

Sci Rep
Nascimento JS, Pankert T, Peters F, Hölzle F, Modabber A, Wien M, Raith S.   +6 more
europepmc   +1 more source

A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture. [PDF]

BMC Bioinformatics, 2022
Shaukat Z, Farooq QUA, Tu S, Xiao C, Ali S.   +4 more
europepmc   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Automated classification of chondroid tumor using 3D U-Net and radiomics with deep features. [PDF]

Sci Rep
Le Dinh T, Lee S, Park H, Lee S, Choi H, Chun KS, Jung JY.   +6 more
europepmc   +1 more source

Does Anatomical Contextual Information Improve 3D U-Net-Based Brain Tumor Segmentation? [PDF]

Diagnostics (Basel), 2021
Tampu IE, Haj-Hosseini N, Eklund A.
europepmc   +1 more source

Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park, Eun‐Hyuk Choi, Jorge Otero‐Millan, David S. Zee, Jeong‐Yoon Choi, Ji‐Soo Kim   +5 more
wiley   +1 more source

3D-MRI brain glioma intelligent segmentation based on improved 3D U-net network. [PDF]

PLoS One
Wang T, Wu T, Yang D, Xu Y, Lv D, Jiang T, Wang H, Chen Q, Xu S, Yan Y, Lin B.   +10 more
europepmc   +1 more source

A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets. [PDF]

BMC Med Imaging, 2021
He B, Yin D, Chen X, Luo H, Xiao D, He M, Wang G, Fang C, Liu L, Jia F.   +9 more
europepmc   +1 more source