Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 비슷한 책 더 보기

Multimodal Learning for Clinical Decision Support Multimodal Learning for Clinical Decision Support
Multimodal Learning for Clinical Decision Support
2021년
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis
2019년
Cancer Prevention Through Early Detection Cancer Prevention Through Early Detection
Cancer Prevention Through Early Detection
2022년
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
2021년
Computational Mathematics Modeling in Cancer Analysis Computational Mathematics Modeling in Cancer Analysis
Computational Mathematics Modeling in Cancer Analysis
2022년
Thoracic Image Analysis Thoracic Image Analysis
Thoracic Image Analysis
2020년
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
2021년
Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers
Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers
2023년
Biomedical Image Registration Biomedical Image Registration
Biomedical Image Registration
2020년
Computer Analysis of Images and Patterns Computer Analysis of Images and Patterns
Computer Analysis of Images and Patterns
2021년
Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges
Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges
2020년
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology
2020년
Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges
Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges
2019년
Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge
Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge
2022년
Machine Learning in Clinical Neuroimaging Machine Learning in Clinical Neuroimaging
Machine Learning in Clinical Neuroimaging
2022년