Simplifying Medical Ultrasound : Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings [E-Book] / edited by Stephen Aylward, J. Alison Noble, Yipeng Hu, Su-Lin Lee, Zachary Baum, Zhe Min
Chapters "Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography" and "3D Cardiac Anatomy Reconstruction from 2D Segmentations: a Study using Synthetic Data" are available open access under a Creative Commons Attribution 4.0 International License via link....
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Personal Name(s): | Aylward, Stephen, editor |
Baum, Zachary, editor / Hu, Yipeng, editor / Lee, Su-Lin, editor / Min, Zhe, editor / Noble, J. Alison, editor | |
Edition: |
1st edition 2022 |
Imprint: |
Cham :
Springer,
2022
|
Physical Description: |
XI, 194 pages 73 illustrations, 69 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031169021 |
DOI: |
10.1007/978-3-031-16902-1 |
Series Title: |
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Lecture Notes in Computer Science ;
13565 |
Subject (LOC): |
- Classification and Detection
- Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extraction
- Spatio-temporal model for EUS video detection of Pancreatic Anatomy Structures
- RL based Unsupervised Video Summarization framework for Ultrasound Imaging
- Prediction of Kidney Transplant Function with Machine Learning from Computational Ultrasound Features
- Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series
- End-to-End Myocardial Infarction Classification from Echocardiographic Scans
- View Classification of Color Doppler Echocardiography via Automatic Alignment between Doppler and B-mode Imaging
- Segmentation and Reconstruction
- AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography
- 3D Cardiac Anatomy Reconstruction from 2D Segmentations: a Study using Synthetic Data
- Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography
- Adnexal Mass Segmentation with Ultrasound Data Synthesis
- Self-Knowledge Distillation for First Trimester Ultrasound Saliency Prediction
- A Universal End-to-End Universal Description of Pulse-Echo Ultrasound Image Reconstruction
- Assessment, Guidance and Robotics
- Learning Generalized Non-Rigid Multimodal Biomedical Image Registration from Generic Point Set Data
- Contact force Prediction for a Robotic Transesophageal Ultrasound Probe via Operating Torque Sensing
- Meta-Registration: Learning Test-Time Optimization for Single-Pair Image Registration
- Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images
- Towards Multi-Modal Self-Supervised Video and Ultrasound Pose Estimation for Laparoscopic Liver Surgery.