Results 261 to 270 of about 1,707,291 (329)

[18F]Fluorodeprenyl‐D2 PET as a Tool to Monitor Disease Activity in GAD65‐Ab Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate [18F]fluorodeprenyl‐D2 ([18F]F‐DED) positron‐emission tomography (PET) imaging as a biomarker of disease activity in autoimmune encephalitis (AIE) associated with glutamic acid decarboxylase 65 (GAD65) antibodies. Methods [18F]F‐DED PET was performed in 25 GAD65‐AIE patients and 8 controls using dynamic (0–60 min) and ...
Julia S. Dorneich, Jonathan A. Gernert, Hanna Zimmermann, Lisa Tagnin, Marianthi Zeinaki, Laura Sanzo, Letizia Vogler, Elisabeth Kaufmann, Justina Dargvainiene, Frank Leypoldt, Gérard N. Bischof, Robert Perneczky, Boris‐Stephan Rauchmann, Simon Lindner, Günter U. Höglinger, Rudolf A. Werner, Martin Kerschensteiner, Tania Kümpfel, Matthias Brendel, Franziska S. Thaler   +19 more
wiley   +1 more source

A hybrid pipeline for carotid artery segmentation using YOLOv11n and contour models. [PDF]

Sci Rep
Salama GM, Safy M, Hassanin DA, Khalaf AAM, Abd-Ellah MK.   +4 more
europepmc   +1 more source

Bioimage analysis for multiplexed FUCCI acquisitions powered by deep learning. [PDF]

Npj Imaging
Zimmermann J, Pezzotti M, Torchia E, Enrico A, Rigolli S, Di Sante M, Pasqualini FS.   +6 more
europepmc   +1 more source

Beam-hardening correction in clinical x-ray dark-field chest radiography using deep-learning-based bone segmentation. [PDF]

Med Phys
Kaster L, Lochschmidt ME, Bauer AM, Dorosti T, Demianova S, Koehler T, Pfeiffer D, Pfeiffer F.   +7 more
europepmc   +1 more source

MSA²-Net: Utilizing self-adaptive convolution module to extract multi-scale information in medical image segmentation. [PDF]

Sci Prog
Qin X, Deng C, Li X, Qin Z, Gong Y.
europepmc   +1 more source

Practical application of SAM for breast nodules segmentation. [PDF]

Front Oncol
Fan W, Li A, Xu M, Sun W, Man F.
europepmc   +1 more source

Spinal disease image segmentation technology integrating U-ResNet and shape-aware attention. [PDF]

Sci Rep
Zhao D, Qin R, Chai Z, Ma S, Gao Q.
europepmc   +1 more source

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2020
Fabian Isensee, Paul F Jaeger, Simon A A Kohl   +2 more
exaly   +2 more sources

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Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

ECCV Workshops, 2021
In the past few years, convolutional neural networks (CNNs) have achieved milestones in medical image analysis. Especially, the deep neural networks based on U-shaped architecture and skip-connections have been widely applied in a variety of medical ...
Hu Cao, Yueyue Wang, Jieneng Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, Manning Wang   +6 more
semanticscholar   +1 more source