Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting First International Workshop MLMECH 2019 and 8th Joint International Workshop CVII STENT 2019 Held in Conjunction with MICCAI 1st edition by Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu 3030333270 9783030333270

Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting First International Workshop MLMECH 2019 and 8th Joint International Workshop CVII STENT 2019 Held in Conjunction with MICCAI 1st edition by Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu – Ebook PDF Instant Download/DeliveryISBN: 3030333270, 9783030333270

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Product details:

ISBN-10 :  3030333270 

ISBN-13 :  9783030333270

Author: Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu 

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning and Medical Engineering for Cardiovasvular Healthcare, MLMECH 2019, and the International Joint Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For MLMECH 2019, 16 papers were accepted for publication from a total of 21 submissions. They focus on machine learning techniques and analyzing of ECG data in the diagnosis of heart diseases.  CVII-STENT 2019 accepted all 8 submissiones for publication. They contain technological and scientific research concerning endovascular procedures.

Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting First International Workshop MLMECH 2019 and 8th Joint International Workshop CVII STENT 2019 Held in Conjunction with MICCAI 1st Table of contents:

1. Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health
2. Arrhythmia Classification with Attention-Based Res-BiLSTM-Net
3. A Multi-label Learning Method to Detect Arrhythmia Based on 12-Lead ECGs
4. An Ensemble Neural Network for Multi-label Classification of Electrocardiogram
5. Automatic Diagnosis with 12-Lead ECG Signals
6. Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks
7. Transfer Learning for Electrocardiogram Classification Under Small Dataset
8. Multi-label Classification of Abnormalities in 12-Lead ECG Using 1D CNN and LSTM
9. An Approach to Predict Multiple Cardiac Diseases
10. A 12-Lead ECG Arrhythmia Classification Method Based on 1D Densely Connected CNN
11. Automatic Multi-label Classification in 12-Lead ECGs Using Neural Networks and Characteristic Points
12. Automatic Detection of ECG Abnormalities by Using an Ensemble of Deep Residual Networks with Attention
13. Deep Learning to Improve Heart Disease Risk Prediction
14. LabelECG: A Web-Based Tool for Distributed Electrocardiogram Annotation
15. Particle Swarm Optimization for Great Enhancement in Semi-supervised Retinal Vessel Segmentation with Generative Adversarial Networks
16. Attention-Guided Decoder in Dilated Residual Network for Accurate Aortic Valve Segmentation in 3D CT Scans
17. ARVBNet: Real-Time Detection of Anatomical Structures in Fetal Ultrasound Cardiac Four-Chamber Planes
18. Proceedings of the Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting
19. The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets – A Flow Phantom Study
20. Towards Quantifying Neurovascular Resilience
21. Random 2.5D U-net for Fully 3D Segmentation
22. Abdominal Aortic Aneurysm Segmentation Using Convolutional Neural Networks Trained with Images Generated with a Synthetic Shape Model
23. Tracking of Intracavitary Instrument Markers in Coronary Angiography Images
24. Healthy Vessel Wall Detection Using U-Net in Optical Coherence Tomography
25. Advanced Multi-objective Design Analysis to Identify Ideal Stent Design
26. Simultaneous Intracranial Artery Tracing and Segmentation from Magnetic Resonance Angiograph

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Tags: Machine Learning, Medical Engineering, Cardiovascular Health, Intravascular Imaging, Computer Assisted Stenting, Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu