Recognition and reconstruction of cell differentiation patterns with deep learning
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: PLoS Computational Biology (2023) 19:10, e1011582. DOI: 10.1371/journal.pcbi.1011582
- Ereignis
-
Veröffentlichung
- (wo)
-
Würzburg
- (wer)
-
Universität Würzburg
- (wann)
-
2024
- Urheber
-
Dirk, Robin
Fischer, Jonas L.
Schardt, Simon
Ankenbrand, Markus J.
Fischer, Sabine C.
- DOI
-
10.1371/journal.pcbi.1011582
- URN
-
urn:nbn:de:bvb:20-opus-350167
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:49 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
- Dirk, Robin
- Fischer, Jonas L.
- Schardt, Simon
- Ankenbrand, Markus J.
- Fischer, Sabine C.
- Universität Würzburg
Entstanden
- 2024
Ähnliche Objekte (12)
A Deep Learning Approach for Inertial Sensor-based Handwriting Recognition & Reconstruction
Reconstruction and Recognition of Spatial Patterns from Sparse Data in the Problem of Biological Invasion
Computer vision : detection, recognition and reconstruction
Recognition of tenogenic differentiation using convolutional neural network
Geometric Diffusions for Reconstruction of Cell Differentiation Dynamics
Deep speaker conditioning for speech emotion recognition
Implementing Deep Learning Object Recognition on NAO
Online Recognition of Fuzzy Time Series Patterns
Regional Patterns of Social Differentiation in Visegrád Countries
Improving automatic emotion recognition from speech via gender differentiation
Exploring deep physiological models for nociceptive pain recognition
Data simulation in deep learning-based human recognition
A Deep Learning Approach for Inertial Sensor-based Handwriting Recognition & Reconstruction
Reconstruction and Recognition of Spatial Patterns from Sparse Data in the Problem of Biological Invasion
Computer vision : detection, recognition and reconstruction
Recognition of tenogenic differentiation using convolutional neural network
Geometric Diffusions for Reconstruction of Cell Differentiation Dynamics
Deep speaker conditioning for speech emotion recognition
Implementing Deep Learning Object Recognition on NAO
Online Recognition of Fuzzy Time Series Patterns
Regional Patterns of Social Differentiation in Visegrád Countries
Improving automatic emotion recognition from speech via gender differentiation
Exploring deep physiological models for nociceptive pain recognition
Data simulation in deep learning-based human recognition
A Deep Learning Approach for Inertial Sensor-based Handwriting Recognition & Reconstruction
Reconstruction and Recognition of Spatial Patterns from Sparse Data in the Problem of Biological Invasion
Computer vision : detection, recognition and reconstruction
Recognition of tenogenic differentiation using convolutional neural network
Geometric Diffusions for Reconstruction of Cell Differentiation Dynamics
Deep speaker conditioning for speech emotion recognition
Implementing Deep Learning Object Recognition on NAO
Online Recognition of Fuzzy Time Series Patterns
Regional Patterns of Social Differentiation in Visegrád Countries
Improving automatic emotion recognition from speech via gender differentiation
Exploring deep physiological models for nociceptive pain recognition