Simulation and Synthesis in Medical Imaging: 10th International Workshop, SASHIMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, Se [Paperback]

This book constitutes the refereed proceedings of the 10th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2025, held in conjunction with the 28th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, in Daejeon, South Korea, on September 23, 2025.

The  17 papers included in this book were carefully reviewed and selected from 25 submissions. They focus on wide range of topics relevant to SASHIMI and reflect recent developments in methods for image-to-image translation, generative modelling, physics-inspired synthesis, super-resolution and image segmentation and classification.Applications include magnetic resonance imaging (MRI), computed tomography (CT), optical coherence tomography (OCT) and histopathology imaging.

.- 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: Blendlc*