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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| Formato: | Recurso Eletrônico livro eletrônico |
| Idioma: | inglês |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edição: | 1st ed. 2025. |
| coleção: | Communications in Computer and Information Science,
2240 |
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| Acesso em linha: | https://doi.org/10.1007/978-3-031-79103-1 |
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| 245 | 1 | 0 | |a Medical Information Computing |h [electronic resource] : |b 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 / |c edited by Udunna Anazodo, Naren Akash, Moritz Fuchs, Celia Cintas, Alessandro Crimi, Tinahse Mutsvangwa, Farouk Dako, Willam Ogallo. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a XIII, 301 p. 111 illus., 92 illus. in color. |b online resource. | ||
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| 490 | 1 | |a Communications in Computer and Information Science, |x 1865-0937 ; |v 2240 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. MImA 2024 accepted 21 full papers from 45 submissions; for EMERGE 8 papers are included from 9 submissions. They describe cutting-edge research from computational scientists and clinical researchers working on a variety of medical image computing challenges relevant to the African and broader global contexts, as well as emerging techniques for image computing methods tailored to low-resource settings. | ||
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 1 | 4 | |a Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 650 | 2 | 4 | |a Medical and Health Technologies. |
| 700 | 1 | |a Anazodo, Udunna. |e editor. |0 (orcid)0000-0001-8864-035X |1 https://orcid.org/0000-0001-8864-035X |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Akash, Naren. |e editor. |0 (orcid)0000-0002-5218-8434 |1 https://orcid.org/0000-0002-5218-8434 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Fuchs, Moritz. |e editor. |0 (orcid)0000-0003-3496-7271 |1 https://orcid.org/0000-0003-3496-7271 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Cintas, Celia. |e editor. |0 (orcid)0000-0002-8064-9189 |1 https://orcid.org/0000-0002-8064-9189 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Crimi, Alessandro. |e editor. |0 (orcid)0000-0001-5397-6363 |1 https://orcid.org/0000-0001-5397-6363 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Mutsvangwa, Tinahse. |e editor. |0 (orcid)0000-0003-1210-2832 |1 https://orcid.org/0000-0003-1210-2832 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Dako, Farouk. |e editor. |0 (orcid)0000-0003-4765-9358 |1 https://orcid.org/0000-0003-4765-9358 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Ogallo, Willam. |e editor. |0 (orcid)0000-0001-8580-1656 |1 https://orcid.org/0000-0001-8580-1656 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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