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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 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Medical information computing/ edited by Udunna Anazodo ... [et al.].
Reminder of title:	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 /
remainder title:	MImA 2024
other author:	Anazodo, Udunna.
corporate name:	MImA (Workshop)
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xii, 301 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imaging - Congresses. - Data processing -
Online resource:	https://doi.org/10.1007/978-3-031-79103-1
ISBN:	9783031791031

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 /
Medical information computingfirst 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 /[electronic resource] :MImA 2024edited by Udunna Anazodo ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xii, 301 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,22401865-0937 ;. - Communications in computer and information science ;2240..

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.

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.

ISBN: 9783031791031

Standard No.: 10.1007/978-3-031-79103-1doiSubjects--Topical Terms:

893542
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

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 /
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