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Computational Diffusion MRI: Miccai Workshop, Athens, Greece, October 2016, Fuster Andrea, Ghosh Aurobrata, Kaden Enrico


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Автор: Fuster Andrea, Ghosh Aurobrata, Kaden Enrico
Название:  Computational Diffusion MRI: Miccai Workshop, Athens, Greece, October 2016
ISBN: 9783319853260
Издательство: Springer
Классификация:




ISBN-10: 3319853260
Обложка/Формат: Paperback
Страницы: 212
Вес: 0.32 кг.
Дата издания: 28.07.2018
Серия: Mathematics and visualization
Язык: English
Издание: Softcover reprint of
Иллюстрации: 80 tables, color; 66 illustrations, color; 4 illustrations, black and white; xi, 212 p. 70 illus., 66 illus. in color.
Размер: 23.39 x 15.60 x 1.22 cm
Читательская аудитория: General (us: trade)
Подзаголовок: Miccai workshop, athens, greece, october 2016
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

The MR Physics of Advanced Diffusion Imaging: Matt Hall.- Noise Floor Removal via Phase Correction of Complex Diffusion-Weighted Images: Influence on DTI and q-Space Metrics: M. Pizzolato et al.- Regularized Dictionary Learning with Robust Sparsity Fitting for Compressed Sensing Multishell HARDI: K. Gupta et al.- Denoising Diffusion-Weighted Images Using Grouped Iterative Hard Thresholding of Multi-Channel Framelets: Jian Zhang et al.- Diffusion MRI Signal Augmentation - From Single Shell to Multi Shell with Deep Learning: S. Koppers et al.- Multi-Spherical Diffusion MRI: Exploring Diffusion Time Using Signal Sparsity: R.H.J. Fick et al.- Sensitivity of OGSE ActiveAx to Microstructural Dimensions on a Clinical Scanner: L.S. Kakkar et al.- Groupwise Structural Parcellation of the Cortex: A Sound Approach Based on Logistic Models: G. Gallardo et al.- Robust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber Dispersion: Z. Yang et al.- Parcellation of Human Amygdala Subfields Using Orientation Distribution Function and Spectral K-means Clustering: Q. Wen et al.- Sparse Representation for White Matter Fiber Compression and Calculation of Inter-Fiber Similarity: G. Zimmerman Moreno et al.- An Unsupervised Group Average Cortical Parcellation using Diffusion MRI to Probe Cytoarchitecture: T. Ganepola et al.- Using multiple Diffusion MRI Measures to Predict Alzheimers Disease with a TV-L1 Prior: J.E. Villalon-Reina et al.- Accurate Diagnosis of SWEDD vs. Parkinson Using Microstructural Changes of Cingulum Bundle: Track-Specific Analysis: F. Rahmani et al.- Colocalization of Functional Activity and Neurite Density within Cortical Areas: A. Teillac et al.- Comparison of Biomarkers in Transgenic Alzheimer Rats Using Multi-shell Diffusion MRI: R.H.J. Fick.- Working Memory Function in Recent-onset Schizophrenia Patients Associated with White Matter Microstructure: Connectometry Approach: M. Dolatshahi et al.



Thoracic Image Analysis: Second International Workshop, Tia 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 8, 2020, Proceeding

Автор: Petersen Jens, San Josй Estйpar Raъl, Schmidt-Richberg Alexander
Название: Thoracic Image Analysis: Second International Workshop, Tia 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 8, 2020, Proceeding
ISBN: 3030624684 ISBN-13(EAN): 9783030624682
Издательство: Springer
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Multi-cavity Heart Segmentation in Non-contrast Non-ECG Gated CT Scans with F-CNN.- 3D Deep Convolutional Neural Network-based Ventilated Lung Segmentation using Multi-nuclear Hyperpolarized Gas MRI.- Lung Cancer Tumor Region Segmentation Using Recurrent 3D-DenseUNet.- 3D Probabilistic Segmentation and Volumetry from 2D Projection Images.- CovidDiagnosis: Deep Diagnosis of Covid-19 Patients using Chest X-rays.- Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification.- A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis.- Deep Reinforcement Learning for Localization of the Aortic Annulus in Patients with Aortic Dissection.- Functional-Consistent CycleGAN for CT to Iodine Perfusion Map Translation.- MRI to CTA Translation for Pulmonary Artery Evaluation using CycleGANs Trained with Unpaired Data.- Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting.- Registration-Invariant Biomechanical Features for Disease Staging of COPD in SPIROMICS.- Deep Group-wise Variational Diffeomorphic Image Registration.



Computational Diffusion MRI: Miccai Workshop, Shenzhen, China, October 2019

Автор: Bonet-Carne Elisenda, Hutter Jana, Palombo Marco
Название: Computational Diffusion MRI: Miccai Workshop, Shenzhen, China, October 2019
ISBN: 3030528928 ISBN-13(EAN): 9783030528928
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides detailed insight into a wealth of expert experience, with in-depth review of the expert`s analysis and diagnostic process supported by high-quality color photomicrographs and discussion of the diagnostic principles involved in evaluating these lesions. This is essential reading for surgical pathologists, dermatopathologists and dermatologists.

Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 4, 2020, Procee

Автор: Liu Mingxia, Yan Pingkun, Lian Chunfeng
Название: Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 4, 2020, Procee
ISBN: 3030598608 ISBN-13(EAN): 9783030598600
Издательство: Springer
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Цена: 83850.00 T
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Описание: Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder with Resting-State fMRI.- Error Attention Interactive Segmentation of Medical Images through Matting and Fusion.- A Novel fMRI Representation Learning Framework with GAN.- Semi-supervised Segmentation with Self-Training Based on Quality Estimation and Refinement.- 3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies.- Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network.- Self-Recursive Contextual Network for Unsupervised 3D Medical Image Registration.- Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy.- Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows.- Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest.- A 3D+2D CNN Approach Incorporating Boundary Loss for Stroke Lesion Segmentation.- Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network.- Robust Multiple Sclerosis Lesion Inpainting with Edge Prior.- Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation.- GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes.- Anatomy-Aware Cardiac Motion Estimation.- Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation.- LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI.- Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation.- Boundary-aware Network for Kidney Tumor Segmentation.- O-Net: An Overall Convolutional Network for Segmentation Tasks.- Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints.- EczemaNet: Automating Detection and Severity Assessment of Atopic Dermatitis.- Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation.- Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer.- Exploring Functional Difference between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks.- Detection of Ischemic Infarct Core in Non-Contrast Computed Tomography.- Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers.- Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients.- Structural Connectivity Enriched Functional Brain Network using Simplex Regression with GraphNet.- Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification.- Multi-tasking Siamese Networks for Breast Mass Detection using Dual-view Mammogram Matching.- 3D Volume Reconstruction from Single Lateral X-ray Image via Cross-Modal Discrete Embedding Transition.- Cleft Volume Estimation and Maxilla Completion Using Cascaded Deep Neural Networks.- A Deep Network for Joint Registration and Reconstruction of Images with Pathologies.- Learning Conditional Deformable Shape Templates for Brain Anatomy .- Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity.- Unsupervised Learning for Spherical Surface Registration.- Anatomy-guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI.- Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization.- Inhomogeneity Correction in Magnetic Resonance Images Using Deep Image Priors.- Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening .- Importance Driven Continual Learning for Segmentation Across Domains.- RDCNet: Instance segmentation with a minimalist recurrent residual network.- Automatic Segmentation of Achilles Tend

Shape in Medical Imaging: International Workshop, Shapemi 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 4, 2020, Proceedings

Автор: Reuter Martin, Wachinger Christian, Lombaert Hervй
Название: Shape in Medical Imaging: International Workshop, Shapemi 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 4, 2020, Proceedings
ISBN: 3030610551 ISBN-13(EAN): 9783030610555
Издательство: Springer
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the International Workshop on Shape in Medical Imaging, ShapeMI 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer Assistend Intervention, MICCAI 2020, in October 2020.

Machine Learning for Medical Image Reconstruction: Third International Workshop, Mlmir 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October

Автор: Deeba Farah, Johnson Patricia, Wьrfl Tobias
Название: Machine Learning for Medical Image Reconstruction: Third International Workshop, Mlmir 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October
ISBN: 3030615979 ISBN-13(EAN): 9783030615970
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.

Simulation and Synthesis in Medical Imaging: 5th International Workshop, Sashimi 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 4, 20

Автор: Burgos Ninon, Svoboda David, Wolterink Jelmer M.
Название: Simulation and Synthesis in Medical Imaging: 5th International Workshop, Sashimi 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 4, 20
ISBN: 3030595196 ISBN-13(EAN): 9783030595197
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 5th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The 19 full papers presented were carefully reviewed and selected from 27 submissions.

Artificial Intelligence in Radiation Therapy: First International Workshop, Airt 2019, Held in Conjunction with Miccai 2019, Shenzhen, China, October

Автор: Nguyen Dan, Xing Lei, Jiang Steve
Название: Artificial Intelligence in Radiation Therapy: First International Workshop, Airt 2019, Held in Conjunction with Miccai 2019, Shenzhen, China, October
ISBN: 3030324850 ISBN-13(EAN): 9783030324858
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the First International Workshop on Connectomics in Artificial Intelligence in Radiation Therapy, AIRT 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019. The 20 full papers presented were carefully reviewed and selected from 24 submissions.

Ophthalmic Medical Image Analysis: 7th International Workshop, Omia 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 8, 2020, Proceedin

Автор: Fu Huazhu, Garvin Mona K., Macgillivray Tom
Название: Ophthalmic Medical Image Analysis: 7th International Workshop, Omia 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 8, 2020, Proceedin
ISBN: 3030634183 ISBN-13(EAN): 9783030634186
Издательство: Springer
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020.

Radiomics and Radiogenomics in Neuro-Oncology: First International Workshop, Rno-AI 2019, Held in Conjunction with Miccai 2019, Shenzhen, China, Octob

Автор: Mohy-Ud-Din Hassan, Rathore Saima
Название: Radiomics and Radiogenomics in Neuro-Oncology: First International Workshop, Rno-AI 2019, Held in Conjunction with Miccai 2019, Shenzhen, China, Octob
ISBN: 3030401235 ISBN-13(EAN): 9783030401238
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions.

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second Miccai Workshop, Dart 2020, and First Miccai Worksho

Автор: Albarqouni Shadi, Bakas Spyridon, Kamnitsas Konstantinos
Название: Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second Miccai Workshop, Dart 2020, and First Miccai Worksho
ISBN: 3030605477 ISBN-13(EAN): 9783030605476
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the Second MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2020, and the First MICCAI Workshop on Distributed and Collaborative Learning, DCL 2020, held in conjunction with MICCAI 2020 in October 2020.

Medical Image Computing and Computer Assisted Intervention - Miccai 2020: 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, P

Автор: Martel Anne L., Abolmaesumi Purang, Stoyanov Danail
Название: Medical Image Computing and Computer Assisted Intervention - Miccai 2020: 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, P
ISBN: 3030597210 ISBN-13(EAN): 9783030597214
Издательство: Springer
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020.

Medical Image Computing and Computer Assisted Intervention - Miccai 2020: 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, P

Автор: Martel Anne L., Abolmaesumi Purang, Stoyanov Danail
Название: Medical Image Computing and Computer Assisted Intervention - Miccai 2020: 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, P
ISBN: 3030597156 ISBN-13(EAN): 9783030597153
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020.


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