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Home >> Publish book chapter >> Engineering Approaches in Medical Science for Imaging, Sensors and AI (Volume - 1)

Publish a Book Chapter in "Engineering Approaches in Medical Science for Imaging, Sensors and AI (Volume - 1)"

Call for Book Chapters: Submissions Now Open


978-1-80433-863-6

Medical Science Edited Book | Edited Book on Medical Science


This edited book on medical science titled "Engineering Approaches in Medical Science for Imaging, Sensors and AI" mainly focuses on various topics such as medical imaging basics, image reconstruction, CT reconstruction etc., and the rest are given below in the Scope of the book. This medical science edited book will be published with ISBN numbers after following a proper double blind peer reviewed process. All the chapters of this medical science edited book will be published in a proper style, so that reader can easily understand and learn.

Author can download this medical science edited book titled "Engineering Approaches in Medical Science for Imaging, Sensors and AI" authorship responsibility and copyright form: Click Here

Indexed In


Indexed in Crossref Indexed in Dimensions Indexed in Bowker
ISBN978-1-80433-863-6

Invited Topics

  1. Engineering Foundations of Medical Imaging and Diagnostic Workflows
  2. Image Reconstruction Methods in CT: Algorithms and Practical Trade-Offs
  3. MRI Signal Processing and Advanced Reconstruction Techniques
  4. Ultrasound Imaging Engineering: Beamforming and Image Quality Optimization
  5. PET and SPECT Imaging: Instrumentation, Reconstruction, and Quantification
  6. Image Enhancement, Denoising, and Artifact Reduction in Clinical Imaging
  7. Image Segmentation Methods for Organs, Lesions, and Anatomy
  8. Image Registration Techniques for Multimodal and Longitudinal Studies
  9. Radiomics and Quantitative Imaging Biomarkers for Precision Medicine
  10. Digital Pathology and Whole-Slide Imaging: Engineering and AI Pipelines
  11. Computer-Aided Detection and Diagnosis: Traditional and Deep Learning Methods
  12. Deep Learning Architectures for Medical Imaging Analysis
  13. Explainable AI for Imaging and Clinical Trust Building
  14. Bias, Fairness, and Generalizability in Medical AI Models
  15. Data Annotation Strategies and Ground Truth Challenges in Imaging
  16. Dataset Curation, Quality Control, and Benchmarking for Medical AI
  17. Model Validation, Calibration, and Performance Metrics in Healthcare AI
  18. Clinical Translation of Imaging AI: Deployment and Monitoring
  19. Edge AI and On-Device Inference for Real-Time Clinical Applications
  20. Federated Learning for Multi-Institution Medical AI Development



For more topics: Click here
ISBN

ISBN: 978-1-80433-863-6

Book Scope

  • Medical Imaging Basics
  • Image Reconstruction
  • CT Reconstruction
  • MRI Signal Processing
  • Ultrasound Imaging
  • PET and SPECT Imaging
  • Image Segmentation
  • Image Registration
  • Image Enhancement
  • Radiomics Features
  • Digital Pathology AI
  • Computer-Aided Diagnosis
  • Deep Learning in Imaging
  • Explainable AI
  • Bias and Fairness
  • Model Validation
  • Clinical AI Deployment
  • Edge AI Devices
  • IoT Health Sensors
  • Wearable Sensors
  • Biosensor Design
  • Electrochemical Sensors
  • Optical Biosensors
  • Lab-on-Chip Systems
  • Microfluidics
  • Point-of-Care Devices
  • Remote Patient Monitoring
  • Signal Filtering
  • ECG Processing
  • EEG Processing
  • PPG and SpO2 Sensors
  • Motion Artifact Removal
  • Sensor Calibration
  • Sensor Fusion
  • Data Acquisition
  • Medical Device Safety
  • Regulatory Pathways
  • Cybersecurity in Devices
  • Interoperability Standards
  • HL7 and FHIR Basics
  • Medical Data Annotation
  • Dataset Curation
  • Federated Learning
  • Privacy-Preserving AI
  • Clinical Decision Support
  • Risk Scoring Models
  • Digital Twins
  • AR and VR in Medicine
  • Robotics in Imaging
  • Smart Hospital Systems


Author Guidelines

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Submit Chapter

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OR

Send your chapter on rubiconpublications@gmail.com



Deadline

31 Jan 2026