Monografie
Rapid Optoacoustic Imaging for Neurology, Cardiology and Vascular Biology
- Sprache
-
Englisch
- Identifier
-
1202922031
Thema
Gottschalk, Sven; Biology; Cardiology; Neurology
Beteiligte Personen und Organisationen
Rebling, Johannes Jörg
Razansky, Daniel
Razansky, Daniel
Menze, Bjoern
Razansky, Daniel
Razansky, Daniel
Menze, Bjoern
- URN
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
26.01.2023, 13:54 MEZ
Objekttyp
- Monografie
Beteiligte
- Rebling, Johannes Jörg
- Razansky, Daniel
- Razansky, Daniel
- Menze, Bjoern
Ähnliche Objekte (12)
Physical Constraints-Aware Machine Learning Models for Vascular Image Analysis
Deep Convolutional Neural Networks for Biomedical Image Analysis
Quantifying hemodynamics in the aorta with four-dimensional flow magnetic resonance imaging
Graph Inference in Biomedical Image Analysis
Functional Imaging with Multispectral Optoacoustic Tomography: Methods and Applications
Accelerated Analysis in MR Spectroscopic Imaging
Advanced reconstruction techniques in perfusion magnetic resonance imaging
From RNA-sequencing to imaging flow cytometry: Profiling large single-cell datasets with machine learning
Cardiovascular Magnetic Resonance Imaging of Myocardial Scar and Diffuse Fibrosis
Development of Silent Multi-contrast Magnetic Resonance Imaging Acquisition Techniques
Accelerating Quantitative Magnetic Resonance Imaging
Deep Learning Methods for Cardiac Magnetic Resonance Imaging Reconstruction
Physical Constraints-Aware Machine Learning Models for Vascular Image Analysis
Deep Convolutional Neural Networks for Biomedical Image Analysis
Quantifying hemodynamics in the aorta with four-dimensional flow magnetic resonance imaging
Graph Inference in Biomedical Image Analysis
Functional Imaging with Multispectral Optoacoustic Tomography: Methods and Applications
Accelerated Analysis in MR Spectroscopic Imaging
Advanced reconstruction techniques in perfusion magnetic resonance imaging
From RNA-sequencing to imaging flow cytometry: Profiling large single-cell datasets with machine learning
Cardiovascular Magnetic Resonance Imaging of Myocardial Scar and Diffuse Fibrosis
Development of Silent Multi-contrast Magnetic Resonance Imaging Acquisition Techniques
Accelerating Quantitative Magnetic Resonance Imaging
Deep Learning Methods for Cardiac Magnetic Resonance Imaging Reconstruction
Physical Constraints-Aware Machine Learning Models for Vascular Image Analysis
Deep Convolutional Neural Networks for Biomedical Image Analysis
Quantifying hemodynamics in the aorta with four-dimensional flow magnetic resonance imaging
Graph Inference in Biomedical Image Analysis
Functional Imaging with Multispectral Optoacoustic Tomography: Methods and Applications
Accelerated Analysis in MR Spectroscopic Imaging
Advanced reconstruction techniques in perfusion magnetic resonance imaging
From RNA-sequencing to imaging flow cytometry: Profiling large single-cell datasets with machine learning
Cardiovascular Magnetic Resonance Imaging of Myocardial Scar and Diffuse Fibrosis
Development of Silent Multi-contrast Magnetic Resonance Imaging Acquisition Techniques
Accelerating Quantitative Magnetic Resonance Imaging