Results 211 to 220 of about 24,117,299 (286)

Automatic Lesion Morphometrics Reliably Predict Sensorimotor Recovery After Spinal Cord Injury: A Longitudinal, Multicenter Neuroimaging Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate automatic magnetic resonance imaging (MRI)‐derived lesion morphometrics against manual measurements and their prognostic value for characterizing distinct acute to chronic neurological recovery trajectories after spinal cord injury (SCI). Methods We studied a retrospective, multicenter cohort of cervical and thoracolumbar
Dario Pfyffer, Jan Valošek, Lynn Farner, Enamundram Naga Karthik, Gergely David, Norbert Weidner, Rainer Abel, Doris Maier, Armin Curt, Margret Hund‐Georgiadis, Mirko Aach, Michael Baumberger, Julien Cohen‐Adad, Patrick Freund, the Nogo Inhibition in Spinal Cord Injury Study Group, Rainer Abel, Kerstin Rehahn, Mirko Aach, Klaus Röhl, Norbert Weidner, Marion Saur, Nikolaus Weiskopf, Doris Maier, Andreas Badke, Margret Hund‐Georgiadis, Michael Baumberger, Armin Curt, Jesus Benito‐Penalva, Jiri Kriz   +28 more
wiley   +1 more source

Molecular Diagnosis in Children With Febrile Seizures: Beyond the Conventional Clinical Classification

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Febrile seizures (FS) are currently classified as simple or complex primarily to describe seizure characteristics, with limited ability to identify the underlying etiology. We evaluated whether molecular diagnosis could complement conventional classification and improve the diagnosis and management of FS.
Jia Wang, Mengna Zhang, Yangyang Wang, Xiuyu Shi, Baoguang Li, Xiuxia Wang, Dan Sun, Sanqing Xu, Jianbo Zhao, Lijun Du, Qiming Pang, Xiaoming Liu, Chunhui Tang, Xiaohua Li, Jiuwei Li, Yanli Ma, Jianxiang Liao, Gulixian Abudureyimu, Jianmin Liang, Yuan Wang, De Wu, Jian Wu, Liping Zou   +22 more
wiley   +1 more source

Dimma: Semi-Supervised Low-Light Image Enhancement with Adaptive Dimming. [PDF]

Entropy (Basel)
Kozłowski W, Szachniewicz M, Stypułkowski M, Zięba M.   +3 more
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

ILR-Net: Low-light image enhancement network based on the combination of iterative learning mechanism and Retinex theory. [PDF]

PLoS One
Yin M, Yang J.
europepmc   +1 more source

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki, Alireza Amindarolzarbi, Tsion Abdi, John Clarke, Michael Hughes, Ami A. Shah, Zsuzsanna H. McMahan   +6 more
wiley   +1 more source

Fast, Zero-Reference Low-Light Image Enhancement with Camera Response Model. [PDF]

Sensors (Basel)
Wang X, Huang L, Li M, Han C, Liu X, Nie T.   +5 more
europepmc   +1 more source

Facial Cosmetic Therapy Use Among Patients With Systemic Sclerosis: An Australian Cohort Study

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) is associated with numerous facial manifestations for which patients may engage in cosmetic therapies. It is unclear how patients with SSc use these therapies. This study sought to characterize patient engagement and experiences with cosmetic therapies for SSc‐related and non‐SSc–related facial changes.
Zachary Warren, Diane Apostolopoulos, Gene‐Siew Ngian, Amanda M. Saracino, Laura Ross, Nava Ferdowsi, Jennifer Walker, Cindy Hall, Kim Griggs, Susanna Proudman, Wendy Stevens, Joanne Sahhar   +11 more
wiley   +1 more source

Bilateral enhancement network with signal-to-noise ratio fusion for lightweight generalizable low-light image enhancement. [PDF]

Sci Rep
Wang J, Huang S, Huo Z, Zhao S, Qiao Y.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source