Medical Information Computing First MICCAI Meets Africa Workshop, MImA 2024, and First MICCAI Student Board Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Revised Selected Papers /
This book presents a series of revised papers selected from the First MICCAI Meets Africa Workshop, MImA 2024, and First MICCAI Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024, which was held in Marrakesh, Morocco, during October 6, 2024....
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| Autor corporatiu: | |
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| Altres autors: | , , , , , , , |
| Format: | Electrònic eBook |
| Idioma: | anglès |
| Publicat: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edició: | 1st ed. 2025. |
| Col·lecció: | Communications in Computer and Information Science,
2240 |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/978-3-031-79103-1 |
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Taula de continguts:
- First MICCAI Meets Africa Workshop, MImA 2024
- EARLY DETECTION OF LIVER FIBROSIS
- Optimized Brain Tumor Segmentation for resource constrained settings: VGG-Infused U-Net Approach
- Optimizing Classification of Congestive Heart Failure Using Feature Weight Importance Correlation
- MCL: Multi-Level Consistency Learning for Medical Image Segmentation
- Trustworthiness for Deep Learning Based Breast Cancer Detection Using Point-of-Care Ultrasound Imaging in Low-Resource Settings
- Advancing the Reliability of Ultra-Low Field MRI Brain Volume Analysis using CycleGAN
- Deep Learning based Non-Invasive Meningitis Screening using High-Resolution Ultrasound in Neonates and Infants from Mozambique, Spain and Morocco
- Automated Segmentation of Ischemic Stroke Lesions in Non-Contrast Computed Tomography Images for Enhanced Early Treatment and Prognosis
- Spatial Attention-Enhanced Diffusion Model for Multiple Sclerosis MRI Synthesis
- An Automated Pipeline for the Identification of Liver Tissue in Ultrasound Video
- Democratizing AI in Africa: Federated Learning for Low-Resource Edge Devices
- Generative Style Transfer for MR Image Segmentation: A case of Glioma Segmentation in Sub-Saharan Africa
- Impact of Skin Tone Diversity on Out-of-Distribution Detection Methods in Dermatology
- Deployment and Evaluation of Intelligent DICOM Viewers in Low-Resource Settings: Orthanc Plugin for Semi-Automated Interpretation of Medical Images
- Enhancing Soil-transmitted Helminths Diagnosis through AI: A Self-Supervised Learning Approach with Smartphone-Based Digital Microscopy
- Capturing Complexity of the Foot Arch Bones: Evaluation of a Statistical Modelling Framework for Learning Shape, Pose and Intensity Features in a Continuous Domain
- Explainability-Guided Deep Learning Models For COVID-19 Detection Using Chest X-ray Images
- Feasibility of Open-Source Tracking-Based Metrics in Evaluating Ultrasound-Guided Needle Placement Skills in Senegal
- Automatic Segmentation of Medical Images for Ischemic Stroke in CT Scans for the Identification of Sulcal Effacement
- AfriBiobank: Empowering Africa’s Medical Imaging Research and Practice Through Data Sharing and Governance
- Benchmarking Noise2Void: Superior Denoising of Medical Microscopic Images
- First MICCAI Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024
- Self-consistent deep approximation of retinal traits for robust and highly effcient vascular phenotyping of retinal colour fundus images.-Non-Parametric Neighborhood Test-Time Generalization: Application to Medical Image Classification
- Client Security Alone Fails in Federated Learning: 2D and 3D Attack Insights.-Context-Guided Medical Visual Question Answering
- GRAM: Graph Regularizable Assessment Metric
- Unsupervised Analysis of Alzheimer’s Disease Signatures using 3D Deformable Autoencoders
- Deep Feature Fusion Framework for Alzheimer’s Disease Staging using Neuroimaging Modalities
- Explainable Few-Shot Learning for Multiple Sclerosis Detection in Low-Data Regime.