{"product_id":"simulation-and-synthesis-in-medical-imaging-9783032055729","title":"Simulation and Synthesis in Medical Imaging","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- MedLoRD: A Medical Low-Resource Diffusion Model for High-Resolution 3D CT Image Synthesis.\u003cbr\u003e.- GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced\u003cbr\u003eUNet for Synthetic CT Generation from CBCT.\u003cbr\u003e.- 2D to 3D MR Image Super-Resolution using Cross-Contrast Guidance.\u003cbr\u003e.- 3D Super-Resolution for Enhancing Compression Fracture Detection in Thick Slice CT: Diffusion Models vs GANs.\u003cbr\u003e.- From Tissue-Mimicking Phantoms to Physics-Based Scans: Synthetic OCT for\u003cbr\u003eFew-Shot Foundation Model Training.\u003cbr\u003e.- Multi-modal Brain MRI Synthesis with nnU-Net: Exploring Segmentation Per formance and Cross-Modality Relationships.\u003cbr\u003e.- Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning.\u003cbr\u003e.- From Lines to Shapes: Geometric-Constrained Segmentation of X-Ray Collima tors via Hough Transform.\u003cbr\u003e.- VIOLET: A framework for combined Volumetric Image registration via Opti mization and Learning for Efficient image Translation.\u003cbr\u003e.- Generation of Controllable and Photorealistic Synthetic Cataract Surgery Im ages: Blending 3D Models and Real-World Data.\u003cbr\u003e.- Unsupervised MRI Harmonization via Parameter Prediction and Super-Resolved\u003cbr\u003eMPMs.\u003cbr\u003e.- Learning Mechanistic Subtypes of Neurodegeneration with a Physics-Informed\u003cbr\u003eVariational Autoencoder Mixture Model.\u003cbr\u003e.- FastDTI: A 3D Scale-arbitrary Super-resolution Autoencoder Residual Dense\u003cbr\u003eNetwork for DTI.\u003cbr\u003e.- Lesion-Aware CT-to-MRI Synthesis using a Mask-Informed Diffusion with Adaptive Weighted Loss (MIDAS).\u003cbr\u003e.-Conditional Iterative α-(de)Blending Model for CBCT-tosCT Synthesis: Towards a Deterministic and Simple Process.\u003cbr\u003e.- Synthesizing Accurate and Realistic T1-weighted Contrast-Enhanced MR Images using Posterior-Mean Rectified Flow.\u003cbr\u003e.- Clustering-based Stain Augmentation: Templates for Periodic Acid-Schiff Biopsy\u003cbr\u003eImages.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195525390679,"sku":"9783032055729","price":49.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/simulation-and-synthesis-in-medical-imaging-9783032055729","provider":"Book Curl","version":"1.0","type":"link"}