Simulation and Synthesis in Medical Imaging
portes grátis
Simulation and Synthesis in Medical Imaging
6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Burgos, Ninon; Svoboda, David; Zhao, Can; Wolterink, Jelmer M.
Springer Nature Switzerland AG
09/2021
154
Mole
Inglês
9783030875916
15 a 20 dias
267
Descrição não disponível.
Method-Oriented Papers.- Detail matters: high-frequency content for realistic synthetic brain MRI generation.- Joint Image and Label Self-Super-Resolution.- Super-resolution by Latent Space Exploration: Training with Poorly-aligned Clinical and Micro CT Image Dataset.- A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms.- Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images.- Learning-based Template Synthesis For Groupwise Image Registration.- The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties.- Transfer Learning in Optical Microscopy.- X-ray synthesis based on triangular mesh models using GPU-accelerated ray tracing for multi-modal breast image registration.- Application-Oriented Papers.- Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks.- SequenceGAN: Generating Fundus Fluorescence Angiography Sequences from Structure Fundus Image .- Cerebral Blood Volume Prediction based on Multi-modality Magnetic Resonance Imaging.- Cine-MRI simulation to evaluate tumor tracking.- GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;bioinformatics;color image processing;color images;computer vision;digital image;image analysis;image coding;image enhancement;image matching;image processing;image quality;image reconstruction;image segmentation;imaging systems;machine learning;medical images;pattern recognition;reference image
Method-Oriented Papers.- Detail matters: high-frequency content for realistic synthetic brain MRI generation.- Joint Image and Label Self-Super-Resolution.- Super-resolution by Latent Space Exploration: Training with Poorly-aligned Clinical and Micro CT Image Dataset.- A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms.- Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images.- Learning-based Template Synthesis For Groupwise Image Registration.- The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties.- Transfer Learning in Optical Microscopy.- X-ray synthesis based on triangular mesh models using GPU-accelerated ray tracing for multi-modal breast image registration.- Application-Oriented Papers.- Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks.- SequenceGAN: Generating Fundus Fluorescence Angiography Sequences from Structure Fundus Image .- Cerebral Blood Volume Prediction based on Multi-modality Magnetic Resonance Imaging.- Cine-MRI simulation to evaluate tumor tracking.- GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;bioinformatics;color image processing;color images;computer vision;digital image;image analysis;image coding;image enhancement;image matching;image processing;image quality;image reconstruction;image segmentation;imaging systems;machine learning;medical images;pattern recognition;reference image
