Results 171 to 180 of about 24,117,299 (286)

Multi-Scale Interactive Network with Color Attention for Low-Light Image Enhancement. [PDF]

Sensors (Basel)
Lu H, Qian C, Wang Z, Liu Z.
europepmc   +1 more source

Unsupervised Low-Light Image Enhancement Based on Generative Adversarial Network. [PDF]

Entropy (Basel), 2023
Yu W, Zhao L, Zhong T.
europepmc   +1 more source

Blood RNA Biomarker Signatures for Early Diagnosis and Prognosis in Ischemic and Hemorrhagic Stroke: The IBIS‐CT1 Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the expression of nine blood RNA biomarkers in a clinical trial based on genes previously identified in an experimental monkey model of stroke for diagnosis feasibility and prognostication. Methods IBIS‐CT1 was a prospective longitudinal study enrolling patients with ischemic stroke (IS) or intracerebral hemorrhage (ICH ...
Salomé Retailleau, Marie Bruguet, Irina Viakhireva‐Dovganyuk, François‐Mathias Merrien, Denis Marechal, Aurore Jourdain, Philippe Goas, Jordan Coris, Julien Asselineau, Maëlys Consigny, Gérald Le Gac, Serge Timsit   +11 more
wiley   +1 more source

DCD-Net: Decoupling-Centric Decomposition Network for Low-Light Image Enhancement. [PDF]

Sensors (Basel)
Wang W, Zhu Y, Zhang M, Xie C.
europepmc   +1 more source

CUI-Net: a correcting uneven illumination net for low-light image enhancement. [PDF]

Sci Rep, 2023
Chao K, Song W, Shao S, Liu D, Liu X, Zhao X.   +5 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

A depth iterative illumination estimation network for low-light image enhancement based on retinex theory. [PDF]

Sci Rep, 2023
Chen Y, Wen C, Liu W, He W.
europepmc   +1 more source

Validation of a Cellular Imaging‐Based Method as a Potential Biomarker for SPG4 Hereditary Spastic Paraplegia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Hereditary Spastic Paraplegia (HSP) comprises a group of rare genetic diseases characterized by length‐dependent axonal degeneration of the corticospinal tracts and dorsal columns, whose main clinical feature is spastic gait. Pathogenic variants in the SPG4 gene cause Spastic Paraplegia Type 4 (SPG4‐HSP), the most common form of HSP.
Gaia Fattorini, Valerio Licursi, Gianmarco Dalla Zanna, Flavio Dal Canto, Melissa Barghigiani, Nunzio Setola, Salvatore Rossi, Antonio Funcis, Filippo M. Santorelli, Gabriella Silvestri, Carlo Casali, Francesca Sardina, Cinzia Rinaldo   +12 more
wiley   +1 more source

AFMNet: A Dual-Domain Collaborative Network with Frequency Prior Guidance for Low-Light Image Enhancement. [PDF]

Entropy (Basel)
An Q, Ma L.
europepmc   +1 more source

Low light image enhancement using curvelet transform and iterative back projection. [PDF]

Sci Rep, 2023
Kannoth S, H C SK, K B R.
europepmc   +1 more source