LEADER 06355nam 22006615 450 001 9910983298103321 005 20250209115230.0 010 $a9783031791031 010 $a3031791037 024 7 $a10.1007/978-3-031-79103-1 035 $a(MiAaPQ)EBC31900400 035 $a(Au-PeEL)EBL31900400 035 $a(CKB)37498908400041 035 $a(DE-He213)978-3-031-79103-1 035 $a(OCoLC)1499718580 035 $a(EXLCZ)9937498908400041 100 $a20250209d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMedical Information Computing $eFirst MICCAI Meets Africa Workshop, MImA 2024, and First MICCAI Student Board Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Revised Selected Papers /$fedited by Udunna Anazodo, Naren Akash, Moritz Fuchs, Celia Cintas, Alessandro Crimi, Tinahse Mutsvangwa, Farouk Dako, Willam Ogallo 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (452 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2240 311 08$a9783031791024 311 08$a3031791029 327 $aFirst 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. 330 $aThis book presents a series of revised papers selected from the First MICCAI Meets Africa Workshop, MImA 2024, and First MICCAI Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024, which was held in Marrakesh, Morocco, during October 6, 2024. MImA 2024 accepted 21 full papers from 45 submissions; for EMERGE 8 papers are included from 9 submissions. They describe cutting-edge research from computational scientists and clinical researchers working on a variety of medical image computing challenges relevant to the African and broader global contexts, as well as emerging techniques for image computing methods tailored to low-resource settings. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2240 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aBiomedical engineering 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aMedical and Health Technologies 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aBiomedical engineering. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aMedical and Health Technologies. 676 $a006 700 $aAnazodo$b Udunna$01785967 701 $aAkash$b Naren$01785968 701 $aFuchs$b Moritz$01785969 701 $aCintas$b Celia$01431788 701 $aCrimi$b Alessandro$01354885 701 $aMutsvangwa$b Tinahse$01785970 701 $aDako$b Farouk$01785971 701 $aOgallo$b Willam$01785972 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983298103321 996 $aMedical Information Computing$94317399 997 $aUNINA