46 citations · 48 across the 2 of their papers we have counts for
10 papers
LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging
Thomas Küstner, Jiazhen Pan, Haikun Qi +7
Physiological motion, such as cardiac and respiratory motion, during Magnetic Resonance (MR) image acquisition can cause image artifacts. Motion correction techniques have been pro…
Uncertainty-Based Biological Age Estimation of Brain MRI Scans
Karim Armanious, Sherif Abdulatif, Wenbin Shi +3
Age is an essential factor in modern diagnostic procedures. However, assessment of the true biological age (BA) remains a daunting task due to the lack of reference ground-truth la…
Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation
Karim Armanious, Sherif Abdulatif, Wenbin Shi +6
The concept of biological age (BA), although important in clinical practice, is hard to grasp mainly due to the lack of a clearly defined reference standard. For specific applicati…
Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies
Thomas Küstner, Tobias Hepp, Marc Fischer +9
Purpose: To enable fast and reliable assessment of subcutaneous and visceral adipose tissue compartments derived from whole-body MRI. Methods: Quantification and localization of di…
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks
Karim Guirguis, Christoph Schorn, Andre Guntoro +2
The understanding of the surrounding environment plays a critical role in autonomous robotic systems, such as self-driving cars. Extensive research has been carried out concerning…
AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks
Sherif Abdulatif, Karim Armanious, Karim Guirguis +2
Automatic speech recognition (ASR) systems are of vital importance nowadays in commonplace tasks such as speech-to-text processing and language translation. This created the need f…