Results 171 to 180 of about 338,614 (301)

Adaptive inverse mapping: a model-free semi-supervised learning approach towards robust imaging through dynamic scattering media

, 2023
Xiaowen Hu, Jian Zhao, José Enrique Antonio-Lopez, Stefan Gausmann, Rodrigo Amezcua Correa, Axel Schülzgen   +5 more
openalex   +1 more source

GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs [PDF]

, 2020
Binghui Wang, Ang Li, Hai Li, Yiran Chen
openalex   +1 more source

From Diagnosis to Disease Staging: Multisite Validation of Cerebrospinal Fluid Molecular Tests in Multiple Sclerosis

Annals of Neurology, EarlyView.
Objective The growing demand for personalized treatment in multiple sclerosis (MS) highlights the need for more precise biomarkers that can outperform magnetic resonance imaging and clinical assessment in patient stratification. Advances in multiplex proteomic technologies suggest that cerebrospinal fluid (CSF) analysis at MS onset may not only improve
Laura Ghezzi, Peter Kosa, Mark Greenwood, Enrique Alvarez, C.L. Freedman, Anne H. Cross, Francesca Pace, Mark S. Freedman, Joanna Kocot, Laura Piccio, Bibiana Bielekova   +10 more
wiley   +1 more source

Semi-Supervised Learning to Improve Generalizability of Cancer Associated-Venous Thromboembolism Risk Prediction Models. [PDF]

Clin Appl Thromb Hemost
Jin S, Wang C, Qin D, Liang B, Zhang L, Gao W, Wang X, Jiang B, Rao B, Shi H, Liu L, Lu Q.   +11 more
europepmc   +1 more source

Anatomical Progression of Neuropathology in FTLD‐TDP Type C and Linkage to Annexin A11

Annals of Neurology, EarlyView.
Objective Frontotemporal lobar degenerations (FTLD)‐TDP type C (TDP‐C) is distinguished from other FTLD‐TDP subtypes by 3 unique features: (1) invariable onset in the anterior temporal lobe (ATL), (2) phosphorylated TDP‐43 (pTDP) neurites in cortex, and (3) colocalization of all pTDP deposits with annexin A11 (ANXA11).
Allegra Kawles, Caroline Nelson, Ivan Ayala, Elena Barbieri, Rudolph Castellani, Changiz Geula, Tamar Gefen, M. Marsel Mesulam   +7 more
wiley   +1 more source

Distinct neuroimaging subtypes of ADHD among adolescents based on semi-supervised learning. [PDF]

Transl Psychiatry
Chen Y, Li M, Zhao Z, Xu X, Chen R, Zhao R, Zhang Y, Wang G, Wu D.   +8 more
europepmc   +1 more source

An Effective Perturbation Based Semi-Supervised Learning Method for Sound Event Detection

, 2020
Xu Zheng, Yan Song, Jie Yan, Li-Rong Dai, Ian McLoughlin, Lin Liu   +5 more
openalex   +2 more sources

Probabilistic Lesion Mapping to Optimize Thalamotomy Targets for Focal Hand Dystonia

Annals of Neurology, EarlyView.
Objective Focal hand dystonia (FHD) severely impairs task‐specific motor control, yet the optimal surgical target for stereotactic intervention remains uncertain. This study aimed to identify the precise thalamic lesion site associated with symptomatic improvement and to clarify its network connectivity. Methods We retrospectively analyzed 164 patients
Masahiko Nishitani, Shiro Horisawa, Konstantin Butenko, Hiroki Togo, Arun Garimella, William Drew, Melissa Chua, Esraa Shaban, Takakazu Kawamata, Takaomi Taira, Andreas Horn, Michael D. Fox, Takashi Hanakawa   +12 more
wiley   +1 more source

Uncertainty-weighted semi-supervised learning with dynamic entropy masking and Bhattacharyya-regularized loss. [PDF]

Sci Rep
Ghazal MT, Tanha J, Shahi N, Roshan S.
europepmc   +1 more source

Feedback Recorrection Semantic-Based Image Inpainting Under Semi-Supervised Learning. [PDF]

Sensors (Basel)
Ye X, Tan R, Sui M, Chen H, Ying N.
europepmc   +1 more source