Autism Spectrum Disorder Classification Based on Interpersonal Neural Synchrony: Can Classification be Improved by Dyadic Neural Biomarkers Using Unsupervised Graph Representation Learning?

Autism Spectrum Disorder Classification Based on Interpersonal Neural Synchrony: Can Classification be Improved by Dyadic Neural Biomarkers Using Unsupervised Graph Representation Learning?

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:MLCN (5. : 2022 : Singapur; Online) Machine learning in clinical neuroimaging
1. Verfasser: Gerloff, Christian (VerfasserIn)
Weitere Verfasser: Konrad, Kerstin (VerfasserIn), Kruppa, Jana (VerfasserIn), Schulte-Rüther, Martin (VerfasserIn), Reindl, Vanessa (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2022
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Autism Spectrum Disorder Classification Based on Interpersonal Neural Synchrony: Can Classification be Improved by Dyadic Neural Biomarkers Using Unsupervised Graph Representation Learning? 2022 Gerloff, Christian
fMRI-S4: Learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models 2022 El-Gazzar, Ahmed
Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction 2022 Schulz, Marc-Andre
Joint Reconstruction and Parcellation of Cortical Surfaces 2022 Rickmann, Anne-Marie
Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network 2022 Marcus, Adam
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma 2022 Wijethilake, Navodini
Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation 2022 Jung, Wooseok
Lifestyle Factors That Promote Brain Structural Resilience in Individuals with Genetic Risk Factors for Dementia 2022 Haddad, Elizabeth
Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction 2022 Lee, Dongsoo
A Study of Demographic Bias in CNN-Based Brain MR Segmentation 2022 Toannou, Stefanos
Self-supervised Test-Time Adaptation for Medical Image Segmentation 2022 Li, Hao
Weakly Supervised Intracranial Hemorrhage Segmentation Using Hierarchical Combination of Attention Maps from a Swin Transformer 2022 Rasoulian, Amirhossein
Accurate Hippocampus Segmentation Based on Self-supervised Learning with Fewer Labeled Data 2022 Kunanbayev, Kassymzhomart
Neuroimaging Harmonization Using cGANs: Image Similarıty Metrics Poorly Predict Cross-Protocol Volumetric Consistency 2022 Ravano, Veronica
Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer’s Disease 2022 Bossa, Matías
Automatic Lesion Analysis for Increased Efficiency in Outcome Prediction of Traumatic Brain Injury 2022 Rosnati, Margherita
Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging 2022 Zhao, Yuji
Alle Artikel auflisten