Results 171 to 180 of about 6,997,548 (275)

Scatter correction for self-collimating SPECT using a 3D U-Net framework. [PDF]

Am J Nucl Med Mol Imaging
Zhao Y, Jiang W, Hu H, Guo L, Lyu Z, Zhang D, Wang L, Fan P, Liu H, Ma T, Wu J.   +10 more
europepmc   +1 more source

3DGAUnet: 3D Generative Adversarial Networks with a 3D U-Net Based Generator to Achieve the Accurate and Effective Synthesis of Clinical Tumor Image Data for Pancreatic Cancer. [PDF]

Cancers (Basel), 2023
Shi Y, Tang H, Baine MJ, Hollingsworth MA, Du H, Zheng D, Zhang C, Yu H.   +7 more
europepmc   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

Impact of MRI modality selection on glioma sub-region segmentation using 3D U-Net and Attention U-Net: A comparative evaluation across ten MRI sequences. [PDF]

Eur J Radiol Open
Khorasani A.
europepmc   +1 more source

Subclinical Optic Nerve Involvement in Radiologically Isolated Syndrome: Multimodal Detection and Diagnostic Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay, Cassandre Landes‐Château, Lydiane Mondot, Mikael Cohen, Margherita Popolo, Jérôme de Seze, Bertrand Bourre, Françoise Durand‐Dubief, Olivier Casez, Orhun H. Kantarci, Aksel Siva, Stephanie Baillif, Darin T. Okuda, Letizia Leocani   +13 more
wiley   +1 more source

A customised 3D U-Net model for bifid mandibular canal segmentation and detection on CBCT: a diagnostic accuracy study. [PDF]

BMC Oral Health
Aboseif S, Anter E, Khairy E.
europepmc   +1 more source

3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows. [PDF]

Plant Phenomics, 2023
Selzner T, Horn J, Landl M, Pohlmeier A, Helmrich D, Huber K, Vanderborght J, Vereecken H, Behnke S, Schnepf A.   +9 more
europepmc   +1 more source

T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ± 
Sarah J. Wright, Scotty G. McKay, Jean Ramos Bou, Fen Bao, Vivian B. Truong, Chenyang Li, Li Jiang, Anza B. Memon, E. Mark Haacke, Yulin Ge, Yongsheng Chen   +10 more
wiley   +1 more source

Deformable multi-head cross attention-based 3D U-net for context-aware multi-modal cardiac image segmentation with uncertainty-aware maps. [PDF]

Sci Rep
Varsha P, Akshara D, Alphonse AS, Brindha S.   +3 more
europepmc   +1 more source

Automatic evaluation of endometrial receptivity in three-dimensional transvaginal ultrasound images based on 3D U-Net segmentation. [PDF]

Quant Imaging Med Surg, 2022
Wang X, Bao N, Xin X, Tan J, Li H, Zhou S, Liu H.   +6 more
europepmc   +1 more source