Results 181 to 190 of about 22,853,467 (283)
DCD-Net: Decoupling-Centric Decomposition Network for Low-Light Image Enhancement. [PDF]
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]
Chao K +5 more
europepmc +1 more source
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 +12 more
wiley +1 more source
A depth iterative illumination estimation network for low-light image enhancement based on retinex theory. [PDF]
Chen Y, Wen C, Liu W, He W.
europepmc +1 more source
ABSTRACT Objective To describe long‐term outcomes after anti‐CD20 discontinuation in selected patients with secondary progressive multiple sclerosis (SPMS) who remained without subsequent disease‐modifying therapy (DMT). Methods We retrospectively analyzed data from four centers in Austria and Switzerland.
Ferdinand Otto +12 more
wiley +1 more source
AFMNet: A Dual-Domain Collaborative Network with Frequency Prior Guidance for Low-Light Image Enhancement. [PDF]
An Q, Ma L.
europepmc +1 more source
Low light image enhancement using curvelet transform and iterative back projection. [PDF]
Kannoth S, H C SK, K B R.
europepmc +1 more source
ABSTRACT Objective Multiple sclerosis (MS) is a neurodegenerative demyelinating disease of the central nervous system. This study aimed to identify micro‐RNA (miRNA)–mRNA regulatory networks underlying region‐specific molecular mechanisms in white matter and gray matter lesions in progressive MS.
Adya Sapra +5 more
wiley +1 more source
Adversarial attacks dataset for low light image enhancement. [PDF]
Martinez A +4 more
europepmc +1 more source
Efficient adaptive feature aggregation network for low-light image enhancement. [PDF]
Li C, Gao P, Liu J, Song S, Bi L.
europepmc +1 more source

