- Weitere Titel
-
Deep Learning-basierte Akustische Signalverarbeitung für Medizinische Anwendungen
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
München, Technische Universität München, Dissertation, 2023
- Schlagwort
-
Computerassistierte Chirurgie
Bildgebendes Verfahren
Akustische Signalverarbeitung
Computerunterstütztes Verfahren
Diagnostik
Signalanalyse
- Ereignis
-
Veröffentlichung
- (wo)
-
München
- (wer)
-
Universitätsbibliothek der TU München
- (wann)
-
2023
- Urheber
-
Seibold, Matthias Robert
- Beteiligte Personen und Organisationen
- URN
-
urn:nbn:de:bvb:91-diss-20230601-1690293-1-8
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:55 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Seibold, Matthias Robert
- Navab, Nassir
- Fürnstahl, Philipp
- Denis, Kathleen
- Universitätsbibliothek der TU München
Entstanden
- 2023
Ähnliche Objekte (12)
Improving acoustic monitoring of biodiversity using deep learning-based source separation algorithms
Advances in Deep Learning-Based Speech Enhancement and Mask-Based Acoustic Parameter Estimation
Deep learning-based music source separation
Deep learning-based cryptocurrency sentiment construction
Deep Learning-based Localisation for Autonomous Vehicles
Deep learning-based clustering approaches for bioinformatics
Acoustic remote sensing applications
Deep Learning-Based Synthesis of Surgical Hyperspectral Images
Deep Learning-based Cell Detection in Microscopy Images
Deep Learning-Based Depth Estimation from Light Fields
Data simulation in deep learning-based human recognition
Deep Learning-based Modeling of Gasoline Controlled Auto-Ignition
Improving acoustic monitoring of biodiversity using deep learning-based source separation algorithms
Advances in Deep Learning-Based Speech Enhancement and Mask-Based Acoustic Parameter Estimation
Deep learning-based music source separation
Deep learning-based cryptocurrency sentiment construction
Deep Learning-based Localisation for Autonomous Vehicles
Deep learning-based clustering approaches for bioinformatics
Acoustic remote sensing applications
Deep Learning-Based Synthesis of Surgical Hyperspectral Images
Deep Learning-based Cell Detection in Microscopy Images
Deep Learning-Based Depth Estimation from Light Fields
Data simulation in deep learning-based human recognition
Deep Learning-based Modeling of Gasoline Controlled Auto-Ignition
Improving acoustic monitoring of biodiversity using deep learning-based source separation algorithms
Advances in Deep Learning-Based Speech Enhancement and Mask-Based Acoustic Parameter Estimation
Deep learning-based music source separation
Deep learning-based cryptocurrency sentiment construction
Deep Learning-based Localisation for Autonomous Vehicles
Deep learning-based clustering approaches for bioinformatics
Acoustic remote sensing applications
Deep Learning-Based Synthesis of Surgical Hyperspectral Images
Deep Learning-based Cell Detection in Microscopy Images
Deep Learning-Based Depth Estimation from Light Fields
Data simulation in deep learning-based human recognition