LEADER 04380nam 22006735 450 001 9911015628503321 005 20250716130236.0 010 $a3-031-91147-4 024 7 $a10.1007/978-3-031-91147-7 035 $a(MiAaPQ)EBC32212931 035 $a(Au-PeEL)EBL32212931 035 $a(CKB)39658931000041 035 $a(DE-He213)978-3-031-91147-7 035 $a(EXLCZ)9939658931000041 100 $a20250716d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises $eTheoretical Insights with Practical Applications /$fedited by Abhishek Kumar, Fernando Ortiz-Rodriguez, Jose Braga De Vasconcelos, Pushan Kumar Dutta, Hemant Kumar Saini, Pramod Singh Rathore 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (474 pages) 225 1 $aInformation Systems Engineering and Management,$x3004-9598 ;$v46 311 08$a3-031-91146-6 327 $aVirtual Ai Assistant Ai In Mental Healthcare -- Leveraging Deep Generative Models For Early Diagnosis And Personalized Care In Neurological And Mental Health Disorders -- A Comprehensive Review Of Deep Generative Techniques In The Study And Management Of Neurological Disorders -- Advancements In Neuroimaging And Deep Learning A Review Of Core Principles, Methodologies, And Emerging Applications -- Ethical Considerations And Regulatory Compliance In Ai Driven Diagnostics -- Neuro Imaging Based Alzheimerdisease Detection By Segmentation With Classification Using Machine Learning Algorithms -- Neuro Imaging Based Alzheimer Disease Detection Using Generative Adversarial Model With Deep Learning Algorithm -- Early Diagnosis Of Alzheimer?s Disease Using Adversarial Techniques -- Classification Of Mental Disorder With Deep Generative Models -- Practical Implementation And Integration Of Ai In Mental Healthcare. 330 $aThis book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimer?s, Parkinson?s, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation. 410 0$aInformation Systems Engineering and Management,$x3004-9598 ;$v46 606 $aEngineering$xData processing 606 $aBiomedical engineering 606 $aComputational intelligence 606 $aNeurosciences 606 $aData Engineering 606 $aBiomedical Engineering and Bioengineering 606 $aComputational Intelligence 606 $aNeuroscience 615 0$aEngineering$xData processing. 615 0$aBiomedical engineering. 615 0$aComputational intelligence. 615 0$aNeurosciences. 615 14$aData Engineering. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aComputational Intelligence. 615 24$aNeuroscience. 676 $a620.00285 700 $aKumar$b Abhishek$0977677 701 $aOrtiz-Rodriguez$b Fernando$01265691 701 $aDe Vasconcelos$b Jose Braga$01833320 701 $aKumar Dutta$b Pushan$01833321 701 $aSaini$b Hemant Kumar$01833322 701 $aRathore$b Pramod Singh$01833323 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911015628503321 996 $aAdversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises$94408270 997 $aUNINA