Results 101 to 110 of about 189,514 (304)

Decoder-Only Image Registration

IEEE Transactions on Medical Imaging
In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, we question the necessity of making both the encoder and decoder learnable.
Xi Jia, Wenqi Lu, Xinxing Cheng, Jinming Duan   +3 more
openaire   +4 more sources

Purkinje Cell Loss in Essential Tremor: Collective Data From 215 Brains Over a 21‐Year Period

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Essential tremor is a highly prevalent movement disorder. Pathological changes observed in essential tremor cerebella center around Purkinje cells and neighboring neuronal populations. Postmortem studies have variably, but not always, shown reduced Purkinje cell counts in essential tremor compared to controls.
Chloë A. Kerridge, Roberto S. Hernandez, Nora C. Hernandez, Phyllis L. Faust, Elan D. Louis   +4 more
wiley   +1 more source

Automatic registration of microarray images. I. Rectangular grid [PDF]

, 2003
V. L. Galinsky
openalex   +1 more source

Annual 12‐Week Dosing Gap of Natalizumab: Clinical Efficacy, Blood Biomarkers, and CSF Cell Composition

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Natalizumab (NTZ) is a highly effective therapy for multiple sclerosis (MS); however, its use is limited by the risk of a rare potentially severe opportunistic brain infection, progressive multifocal leukoencephalopathy (PML). Alternative dosing strategies are evaluated to reduce PML risk while still maintaining efficacy, which ...
Regina Berkovich, Tilman Schneider‐Hohendorf, Eric Baetscher, Evan L. Riddle, Marie Deffner, Emily Katsnelson, Janine Ferrant‐Orgettas, Julie Czerkowicz, John Anderson, Susan E. Goelz, Nicholas Schwab   +10 more
wiley   +1 more source

Image Registration Improves Confidence and Accuracy of Image Interpretation

Cancer Informatics, 2007
Liqin Wang, Norman Arslanlar, Vladimir Savcenko, E. Paul Lindell, Norbert Campeau, Christopher Wood, Julia Patriarche, Bradley J. Erickson   +7 more
doaj   +2 more sources

Exosome Proteomics of SOD1D90A Mutation Suggest Early Disease Mechanisms, and FN1 as a Biomarker

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Amyotrophic lateral sclerosis (ALS) is a neuromuscular disease. Super oxide dismutase 1 (SOD1) gene mutations cause ALS, and the D90A mutation is associated with primarily upper motor neuron (UMN) loss. Objective Our goal is to reveal the early cellular events in ALS pathology and identify potential pharmacokinetic biomarkers, using well ...
Mukesh Gautam, Ali Laith, Aslihan Gunel, Melda Yilmaz, Nazli Basak, Halil Idrisoglu, P. Hande Ozdinler   +6 more
wiley   +1 more source

Interleukin‐6 as a Key Biomarker in Facioscapulohumeral Dystrophy: Evidence From Longitudinal Analyses

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy type 1 (FSHD1) is a progressive neuromuscular disorder with no approved treatments. Identifying reliable biomarkers is critical to monitor disease severity, activity, and progression. Interleukin‐6 (IL‐6) has been proposed as a candidate biomarker, but longitudinal validation is limited ...
Jonathan Pini, Emanuela Martinuzzi, Sandra Dhifallah, Abderhmane Slioui, Angela Puma, Luisa Villa, Michele Cavalli, Andra Ezaru, Jérémy Garcia, Manuela Gambella, Federico Torre, Luca Jacopo Pavan, Nicolas Glaichenhaus, Sabrina Sacconi   +13 more
wiley   +1 more source

Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of Mammograms

Diagnostics
A comparative interpretation of mammograms has become increasingly important, and it is crucial to develop subtraction processing and registration methods for mammograms.
Chiharu Kai, Satoshi Kondo, Tsunehiro Otsuka, Akifumi Yoshida, Ikumi Sato, Hitoshi Futamura, Naoki Kodama, Satoshi Kasai   +7 more
doaj   +1 more source

Prediction Model for Etiologic Differentiation of Isolated Vestibular Syndrome in Emergency Settings

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to develop and validate a predictive model for differentiating central from peripheral etiologies in patients with isolated vestibular syndrome (VS). Methods In this multicenter retrospective cohort study, 506 patients with isolated VS from five hospitals were divided into derivation (n = 301) and validation (n = 205)
Guo Wenting, Du Liping, Yang Yi, Hu Jin, Ye Bijun, Wang Jianer, Liu Shuangsi, Guo Shunyuan, Cai Xiaofeng, Wang Huiyuan, Wu Bin, Yu Xiang, Shi Tianming   +12 more
wiley   +1 more source

MAD: Modality Agnostic Distance Measure for Image Registration [PDF]

, 2023
Vasiliki Sideri‐Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert   +4 more
openalex   +1 more source