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020		▼a9783031820076▼9978-3-031-82007-6
024		▼a10.1007/978-3-031-82007-6▼2doi
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245	00	▼aApplications of Medical Artificial Intelligence▼h[electronic resource] :▼bThird International Workshop, AMAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings /▼cedited by Shandong Wu, Behrouz Shabestari, Lei Xing.
250		▼a1st ed. 2025.
264		▼aCham :▼bSpringer Nature Switzerland :▼bImprint: Springer,▼c2025.
300		▼aXI, 265 p. 85 illus., 77 illus. in color.▼bonline resource.
336		▼atext▼btxt▼2rdacontent
337		▼acomputer▼bc▼2rdamedia
338		▼aonline resource▼bcr▼2rdacarrier
347		▼atext file▼bPDF▼2rda
490		▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v15384
505		▼aExploring CNN and Transformer-based Architectures to Improve Image Segmentation for Chronic Wound Measurement -- From Pixel Scores to Clinical Impacts: The Implicit Choices in FROC Metric Design and Their Consequences -- Head CT Scan Motion Artifact Correction via Diffusion-Based Generative Models -- SP-NAS: Surgical Phase Recognition-based Navigation Adjustment System for distal gastrectomy -- Transforming Multimodal Models into Action Models for Radiotherapy -- Enhanced Interpretability in Histopathological Images via Combined Tissue and Cell-Level Graph Analysis -- Targeted Visual Prompting for Medical Visual Question Answering -- Deep Learning for Resolving 3D Microstructural Changes in the Fibrotic Liver -- Predicting Falls through Muscle Weakness from a Single Whole Body Image: A Multimodal Contrastive Learning Framework -- Optimizing ICU Readmission Prediction: A Comparative Evaluation of AI Tools -- Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging -- Evaluating Perceived Workload, Usability and Usefulness of Artificial Intelligence Systems in Low-Resource Settings: Semi-Automated Classification and Detection of Community Acquired Pneumonia -- Incremental Augmentation Strategies for Personalised Continual Learning in Digital Pathology Contexts -- Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears -- Automated Feedback System for Surgical Skill Improvement in Endoscopic Sinus Surgery -- Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics -- RadImageGAN – A Multi-modal Dataset-Scale Generative AI for Medical Imaging -- Ensemble-KAN: Leveraging Kolmogorov Arnold Networks to Discriminate Individuals with Psychiatric Disorders from Controls -- SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury -- EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models -- Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking -- Normative Modeling with Focal Loss and Adversarial Autoencoders for Alzheimer’s Disease Diagnosis and Biomarker Identification -- One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks -- Data-Efficient Radiology Report Generation via Similar Report Features Enhancement.
520		▼aThis book constitutes the refereed proceedings of the Third International Workshop on Applications of Medical Artificial Intelligence, AMAI 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco on October 6th, 2024. The volume includes 24 papers which were carefully reviewed and selected from 59 submissions. The AMAI 2024 workshop created a forum to bring together researchers, clinicians, domain experts, AI practitioners, industry representatives, and students to investigate and discuss various challenges and opportunities related to applications of medical AI.
650		▼aComputer vision.
650		▼aApplication software.
650		▼aArtificial intelligence.
650		▼aEducation▼xData processing.
650		▼aSocial sciences▼xData processing.
650		▼aComputer Vision.
650		▼aComputer and Information Systems Applications.
650		▼aArtificial Intelligence.
650		▼aComputers and Education.
650		▼aComputer Application in Social and Behavioral Sciences.
700		▼aWu, Shandong.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aShabestari, Behrouz.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aXing, Lei.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
710		▼aSpringerLink (Online service)
773		▼tSpringer Nature eBook
776		▼iPrinted edition:▼z9783031820069
776		▼iPrinted edition:▼z9783031820083
830		▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v15384
856		▼uhttps://doi.org/10.1007/978-3-031-82007-6
912		▼aZDB-2-SCS
912		▼aZDB-2-SXCS
912		▼aZDB-2-LNC
950		▼aComputer Science (SpringerNature-11645)
950		▼aComputer Science (R0) (SpringerNature-43710)

Applications of Medical Artificial Intelligence[electronic resource] :Third International Workshop, AMAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings /edited by Shandong Wu, Behrouz Shabestari, Lei Xing

종류

전자책

서명

저자명

Wu Shandong. editor Shabestari Behrouz. editor Xing Lei. editor

판 사항

1st ed. 2025.

형태사항

XI, 265 p 85 illus, 77 illus in color online resource.

주기사항

This book constitutes the refereed proceedings of the Third International Workshop on Applications of Medical Artificial Intelligence, AMAI 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco on October 6th, 2024. The volume includes 24 papers which were carefully reviewed and selected from 59 submissions. The AMAI 2024 workshop created a forum to bring together researchers, clinicians, domain experts, AI practitioners, industry representatives, and students to investigate and discuss various challenges and opportunities related to applications of medical AI.

내용주기

Exploring CNN and Transformer-based Architectures to Improve Image Segmentation for Chronic Wound Measurement / From Pixel Scores to Clinical Impacts: The Implicit Choices in FROC Metric Design and Their Consequences / Head CT Scan Motion Artifact Correction via Diffusion-Based Generative Models / SP-NAS: Surgical Phase Recognition-based Navigation Adjustment System for distal gastrectomy / Transforming Multimodal Models into Action Models for Radiotherapy / Enhanced Interpretability in Histopathological Images via Combined Tissue and Cell-Level Graph Analysis / Targeted Visual Prompting for Medical Visual Question Answering / Deep Learning for Resolving 3D Microstructural Changes in the Fibrotic Liver / Predicting Falls through Muscle Weakness from a Single Whole Body Image: A Multimodal Contrastive Learning Framework / Optimizing ICU Readmission Prediction: A Comparative Evaluation of AI Tools / Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging / Evaluating Perceived Workload, Usability and Usefulness of Artificial Intelligence Systems in Low-Resource Settings: Semi-Automated Classification and Detection of Community Acquired Pneumonia / Incremental Augmentation Strategies for Personalised Continual Learning in Digital Pathology Contexts / Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears / Automated Feedback System for Surgical Skill Improvement in Endoscopic Sinus Surgery / Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics / RadImageGAN – A Multi-modal Dataset-Scale Generative AI for Medical Imaging / Ensemble-KAN: Leveraging Kolmogorov Arnold Networks to Discriminate Individuals with Psychiatric Disorders from Controls / SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury / EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models / Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking / Normative Modeling with Focal Loss and Adversarial Autoencoders for Alzheimer’s Disease Diagnosis and Biomarker Identification / One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks / Data-Efficient Radiology Report Generation via Similar Report Features Enhancement.

ISBN

9783031820076

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