Description

Book Synopsis

.- MedLoRD: A Medical Low-Resource Diffusion Model for High-Resolution 3D CT Image Synthesis.
.- GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced
UNet for Synthetic CT Generation from CBCT.
.- 2D to 3D MR Image Super-Resolution using Cross-Contrast Guidance.
.- 3D Super-Resolution for Enhancing Compression Fracture Detection in Thick Slice CT: Diffusion Models vs GANs.
.- From Tissue-Mimicking Phantoms to Physics-Based Scans: Synthetic OCT for
Few-Shot Foundation Model Training.
.- Multi-modal Brain MRI Synthesis with nnU-Net: Exploring Segmentation Per formance and Cross-Modality Relationships.
.- Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning.
.- From Lines to Shapes: Geometric-Constrained Segmentation of X-Ray Collima tors via Hough Transform.
.- VIOLET: A framework for combined Volumetric Image registration via Opti mization and Learning for Efficient image Translation.
.- Generation of Controllable and Photorealistic Synthetic Cataract Surgery Im ages: Blending 3D Models and Real-World Data.
.- Unsupervised MRI Harmonization via Parameter Prediction and Super-Resolved
MPMs.
.- Learning Mechanistic Subtypes of Neurodegeneration with a Physics-Informed
Variational Autoencoder Mixture Model.
.- FastDTI: A 3D Scale-arbitrary Super-resolution Autoencoder Residual Dense
Network for DTI.
.- Lesion-Aware CT-to-MRI Synthesis using a Mask-Informed Diffusion with Adaptive Weighted Loss (MIDAS).
.-Conditional Iterative α-(de)Blending Model for CBCT-tosCT Synthesis: Towards a Deterministic and Simple Process.
.- Synthesizing Accurate and Realistic T1-weighted Contrast-Enhanced MR Images using Posterior-Mean Rectified Flow.
.- Clustering-based Stain Augmentation: Templates for Periodic Acid-Schiff Biopsy
Images.

Simulation and Synthesis in Medical Imaging

    Product form

    £49.99

    Includes FREE delivery

    Order before 4pm today for delivery by Mon 3 Aug 2026.

    A Paperback by Virginia Fernandez

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Simulation and Synthesis in Medical Imaging by Virginia Fernandez

      Publisher: Springer
      Publication Date: Publication Date: 19/10/2025
      ISBN13: 9783032055729, 978-3032055729
      ISBN10:
      Also in:
      Computing Computer vision

      Description

      Book Synopsis

      .- MedLoRD: A Medical Low-Resource Diffusion Model for High-Resolution 3D CT Image Synthesis.
      .- GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced
      UNet for Synthetic CT Generation from CBCT.
      .- 2D to 3D MR Image Super-Resolution using Cross-Contrast Guidance.
      .- 3D Super-Resolution for Enhancing Compression Fracture Detection in Thick Slice CT: Diffusion Models vs GANs.
      .- From Tissue-Mimicking Phantoms to Physics-Based Scans: Synthetic OCT for
      Few-Shot Foundation Model Training.
      .- Multi-modal Brain MRI Synthesis with nnU-Net: Exploring Segmentation Per formance and Cross-Modality Relationships.
      .- Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning.
      .- From Lines to Shapes: Geometric-Constrained Segmentation of X-Ray Collima tors via Hough Transform.
      .- VIOLET: A framework for combined Volumetric Image registration via Opti mization and Learning for Efficient image Translation.
      .- Generation of Controllable and Photorealistic Synthetic Cataract Surgery Im ages: Blending 3D Models and Real-World Data.
      .- Unsupervised MRI Harmonization via Parameter Prediction and Super-Resolved
      MPMs.
      .- Learning Mechanistic Subtypes of Neurodegeneration with a Physics-Informed
      Variational Autoencoder Mixture Model.
      .- FastDTI: A 3D Scale-arbitrary Super-resolution Autoencoder Residual Dense
      Network for DTI.
      .- Lesion-Aware CT-to-MRI Synthesis using a Mask-Informed Diffusion with Adaptive Weighted Loss (MIDAS).
      .-Conditional Iterative α-(de)Blending Model for CBCT-tosCT Synthesis: Towards a Deterministic and Simple Process.
      .- Synthesizing Accurate and Realistic T1-weighted Contrast-Enhanced MR Images using Posterior-Mean Rectified Flow.
      .- Clustering-based Stain Augmentation: Templates for Periodic Acid-Schiff Biopsy
      Images.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account