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It is also a source for country-based reports as well as commentaries on recent developments in the field of disability rights in the African region. 606 $aPeople with disabilities$xCivil rights$zAfrica 606 $aPeople with disabilities 606 $aPeople with disabilities$xLegal status, laws, etc$zAfrica 615 0$aPeople with disabilities$xCivil rights 615 0$aPeople with disabilities. 615 0$aPeople with disabilities$xLegal status, laws, etc. 676 $a362.409581 702 $aNgwena$b Charles 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910557986503321 996 $aAfrican disability rights yearbook$91947150 997 $aUNINA LEADER 04727nam 22007215 450 001 996635671303316 005 20250626164330.0 010 $a9783031787614$b(electronic bk.) 010 $z9783031787607 024 7 $a10.1007/978-3-031-78761-4 035 $a(MiAaPQ)EBC31822019 035 $a(Au-PeEL)EBL31822019 035 $a(CKB)36947406000041 035 $a(DE-He213)978-3-031-78761-4 035 $a(OCoLC)1478697090 035 $a(EXLCZ)9936947406000041 100 $a20241207d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning in Clinical Neuroimaging $e7th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings /$fedited by Deepti R. Bathula, Anoop Benet Nirmala, Nicha C. Dvornek, Sindhuja T. Govindarajan, Mohamad Habes, Vinod Kumar, Ahmed Nebli, Thomas Wolfers, Yiming Xiao 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (187 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15266 311 08$aPrint version: Bathula, Deepti R. Machine Learning in Clinical Neuroimaging Cham : Springer,c2025 9783031787607 327 $a -- 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. 330 $aThis book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2024, held in Conjunction with MICCAI 2024 in Marrakesh, Morocco, on 10th October 2024. The 16 full papers presented in this volume were carefully reviewed and selected from 28 submissions. They are grouped into the following topics: machine learning; clinical applications. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15266 606 $aComputer vision 606 $aMachine learning 606 $aComputers 606 $aSocial sciences$xData processing 606 $aComputer Vision 606 $aMachine Learning 606 $aComputing Milieux 606 $aComputer Application in Social and Behavioral Sciences 615 0$aComputer vision. 615 0$aMachine learning. 615 0$aComputers. 615 0$aSocial sciences$xData processing. 615 14$aComputer Vision. 615 24$aMachine Learning. 615 24$aComputing Milieux. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a006.37 700 $aBathula$b Deepti R$01431708 701 $aBenet Nirmala$b Anoop$01782611 701 $aDvornek$b Nicha C$01431709 701 $aGovindarajan$b Sindhuja T$01431710 701 $aHabes$b Mohamad$01431711 701 $aKumar$b Vinod$0767644 701 $aNebli$b Ahmed$01782612 701 $aWolfers$b Thomas$01431713 701 $aXiao$b Yiming$01431714 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a996635671303316 996 $aMachine Learning in Clinical Neuroimaging$94309020 997 $aUNISA