Del 15266 i serien Lecture Notes in Computer Science

Machine Learning in Clinical Neuroimaging

7th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

Häftad, Engelska, 2024

AvDeepti R. Bathula,Anoop Benet Nirmala,Nicha C. Dvornek,Sindhuja T. Govindarajan,Mohamad Habes,Vinod Kumar,Ahmed Nebli,Thomas Wolfers,Yiming Xiao

769 kr

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This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2024, held in Conjunction with MICCAI 2024 in Marrakesh, Morocco, on 10th October 2024. The 16 full papers presented in this volume were carefully reviewed and selected from 28 submissions. They are grouped into the following topics: machine learning; clinical applications.

Produktinformation

Utgivningsdatum2024-12-08
Mått155 x 235 x 11 mm
Vikt300 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor178
FörlagSpringer International Publishing AG
ISBN9783031787607

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Tillämpad datateknik inom Data och IT
Informationsteknik: allmänt inom Data och IT
Systemvetenskap och AI inom Data och IT

.- Machine learning..- Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations..- ProxiMO: Proximal Multi-Operator Networks for Quantitative Susceptibility Mapping..- Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning..- HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks..- SpaRG - Sparsely Reconstructed Graphs for Generalizable fMRI Analysis..- A Lightweight 3D Conditional Diffusion Model for Self-Explainable Brain Age Prediction in Adults and Children..- SOE: SO(3)-Equivariant 3D MRI Encoding..- Towards a foundation model for cortical folding..- Clinical Applications..- A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia..- DISARM: Disentangled Scanner-free Image Generation via Unsupervised Image2Image Translation..- Segmenting Small Stroke Lesions with Novel Labeling Strategies..- A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer’s Disease Sub-type Diagnosis..- Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in Alzheimer's disease and related dementias..- Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism Detection..- Is Your Style Transfer Doing Anything Useful? An Investigation Into Hippocampus Segmentation and the Role of Preprocessing..- GAMing the Brain: Investigating the Cross-modal Relationships between Functional Connectivity and Structural Features using Generalized Additive Models.

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Machine Learning in Clinical Neuroimaging

7th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

Produktinformation

Tillhör följande kategorier

Innehållsförteckning

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Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology

Machine Learning in Clinical Neuroimaging

Machine Learning in Clinical Neuroimaging

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Intelligent Wireless Sensor Networks and the Internet of Things

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Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation

Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention

Lesion Segmentation in Surgical and Diagnostic Applications

OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging

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