Machine Learning in Clinical Neuroimaging

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

AvDeepti R. Bathula,Anoop Benet Nirmala

Häftad, Engelska, 2024

Del 15266 i serien Lecture Notes in Computer Science

588 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-12-08
Mått:155 x 235 x 11 mm
Vikt:300 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:178
Förlag:Springer International Publishing AG
ISBN:9783031787607

Utforska kategorier

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

Innehållsförteckning

.- 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

Beskrivning

Produktinformation

Utforska kategorier

Innehållsförteckning

Du kanske också är intresserad av

Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology

Machine Learning in Clinical Neuroimaging

Machine Learning in Clinical Neuroimaging

Machine Learning in Clinical Neuroimaging

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

Intelligent Wireless Sensor Networks and the Internet of Things

Intelligent Wireless Sensor Networks and the Internet of Things

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