Simulation and Synthesis in Medical Imaging : Third International Workshop, Sashimi 2018, Held in Conjunction with Miccai 2018, Granada, Spain, Septemb
Overview
Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks.- Data Augmentation Using synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI.- Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation.- Cross-modality Image Synthesis from Unpaired Data Using CycleGAN: Effects of Gradient Consistency Loss and Training Data Size.- A Machine Learning Approach to Diffusion MRI Partial Volume Estimation.- Unsupervised Learning for Cross-domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks.- Deep Boosted Regression for MR TO CT Synthesis.- Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia.- MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-Modal Alzheimer's Classification.- Tubular Network Formation Process Using 3D Cellular Potts Model.- Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images.- Lung Nodule Synthesis Using CNN-based Latent Data Representation.- RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours.- Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783030005351
- ISBN-10: 3030005356
- Publisher: Springer
- Publish Date: September 2018
- Dimensions: 9.21 x 6.14 x 0.33 inches
- Shipping Weight: 0.49 pounds
- Page Count: 140
Related Categories
