Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation: Internat
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Lieferzeit: 7-14 Werktage
- Artikel-Nr.: 10382476
Beschreibung
_Robust Photoacoustic Beamforming using Dense Convolutional Neural Networks.- A Training Tool for Ultrasound-guided Central Line Insertion with Webcam-based Position Tracking.- GLUENet: Ultrasound Elastography Using Convolutional Neural Network.- CUST: CNN for Ultrasound thermal image reconstruction using Sparse Time-of-flight information.- Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN.- Recent Advances in Point-of-Care Ultrasound using the ImFusion Suite for Real-Time Image Analysis.- Markerless Inside-Out Tracking for 3D Ultrasound Compounding.- Ultrasound-based Detection of Lung Abnormalities using Single Shot Detection Convolutional Neural Networks.- Quantitative Echocardiography: Real-time Quality Estimation and View Classification Implemented on a Mobile Android Device.- Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study.- A novel interventional guidance framework for transseptal puncture in left atrial interventions.- Holographic visualisation and interaction of fused CT, PET and MRI volumetric medical imaging data using dedicated remote GPGPU ray casting .- Mr. Silva and Patient Zero: a medical social network and data visualization information system.- Fully Convolutional Network-based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model.- Resolve Intraoperative Brain Shift as Imitation Game.- Non-linear approach for MRI to intra-operative US registration using structural skeleton.- Brain-shift correction with image-based registration and landmark accuracy evaluation.- Deformable MRI-ultrasound Registration Using 3D Convolutional Neural Network.- Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool.- Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-saliency Weighting for Image guided Neurosurgery.- Registration of MRI and iUS data to compensate brain shift using a symmetric block-matching based approach.- Intra-operative Brain Shift Correction with Weighted Locally Linear Correlations of 3DUS and MRI.- Survival modeling of pancreatic cancer with radiology using convolutional neural networks.- Pancreatic Cancer Survival Prediction Using CT Scans and Clinical Variables.
Eigenschaften
Breite: | 155 |
Gewicht: | 347 g |
Höhe: | 235 |
Länge: | 12 |
Seiten: | 204 |
Sprachen: | Englisch |
Autor: | Amber Simpson, Anne Martel, Danail Stoyanov, João Manuel R.S. Tavares, Lena Maier-Hein, Shuo Li, Stephen Aylward, Yiming Xiao, Zeike Taylor |
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