125 citations · 703 across the 21 of their papers we have counts for
21 papers
Class-Aware PillarMix: Can Mixed Sample Data Augmentation Enhance 3D Object Detection with Radar Point Clouds?
Miao Zhang, Sherif Abdulatif, Benedikt Loesch +2
Due to the significant effort required for data collection and annotation in 3D perception tasks, mixed sample data augmentation (MSDA) has been widely studied to generate diverse…
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions
Miao Zhang, Sherif Abdulatif, Benedikt Loesch +3
The rapid evolution of deep learning and its integration with autonomous driving systems have led to substantial advancements in 3D perception using multimodal sensors. Notably, ra…
CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement
Sherif Abdulatif, Ruizhe Cao, Bin Yang
In this work, we further develop the conformer-based metric generative adversarial network (CMGAN) model for speech enhancement (SE) in the time-frequency (TF) domain. This paper b…
CMGAN: Conformer-based Metric GAN for Speech Enhancement
Ruizhe Cao, Sherif Abdulatif, Bin Yang
Recently, convolution-augmented transformer (Conformer) has achieved promising performance in automatic speech recognition (ASR) and time-domain speech enhancement (SE), as it can…
A MIMO Radar-based Few-Shot Learning Approach for Human-ID
Pascal Weller, Fady Aziz, Sherif Abdulatif +2
Radar for deep learning-based human identification has become a research area of increasing interest. It has been shown that micro-Doppler (-D) can reflect the walking behavior…
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…
Investigating Cross-Domain Losses for Speech Enhancement
Sherif Abdulatif, Karim Armanious, Jayasankar T. Sajeev +2
Recent years have seen a surge in the number of available frameworks for speech enhancement (SE) and recognition. Whether model-based or constructed via deep learning, these framew…
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…
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…
Unsupervised Adversarial Correction of Rigid MR Motion Artifacts
Karim Armanious, Aastha Tanwar, Sherif Abdulatif +3
Motion is one of the main sources for artifacts in magnetic resonance (MR) images. It can have significant consequences on the diagnostic quality of the resultant scans. Previously…
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…
ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging
Karim Armanious, Vijeth Kumar, Sherif Abdulatif +3
Local deformations in medical modalities are common phenomena due to a multitude of factors such as metallic implants or limited field of views in magnetic resonance imaging (MRI).…
Organ-based Chronological Age Estimation based on 3D MRI Scans
Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu +4
Individuals age differently depending on a multitude of different factors such as lifestyle, medical history and genetics. Often, the global chronological age is not indicative of…
Unsupervised Medical Image Translation Using Cycle-MedGAN
Karim Armanious, Chenming Jiang, Sherif Abdulatif +3
Image-to-image translation is a new field in computer vision with multiple potential applications in the medical domain. However, for supervised image translation frameworks, co-re…
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs
Karim Armanious, Sherif Abdulatif, Fady Aziz +2
Radar is of vital importance in many fields, such as autonomous driving, safety and surveillance applications. However, it suffers from stringent constraints on its design parametr…
Person Identification and Body Mass Index: A Deep Learning-Based Study on Micro-Dopplers
Sherif Abdulatif, Fady Aziz, Karim Armanious +3
Obtaining a smart surveillance requires a sensing system that can capture accurate and detailed information for the human walking style. The radar micro-Doppler (-D)…
Towards Adversarial Denoising of Radar Micro-Doppler Signatures
Sherif Abdulatif, Karim Armanious, Fady Aziz +2
Generative Adversarial Networks (GANs) are considered the state-of-the-art in the field of image generation. They learn the joint distribution of the training data and attempt to g…
Stairs Detection for Enhancing Wheelchair Capabilities Based on Radar Sensors
Sherif Abdulatif, Bernhard Kleiner, Fady Aziz +3
Powered wheelchair users encounter barriers to their mobility everyday. Entering a building with non barrier-free areas can massively impact the user mobility related activities. T…
Power-Based Real-Time Respiration Monitoring Using FMCW Radar
Sherif Abdulatif, Fady Aziz, Pelin Altiner +2
Non-contact vital sign detection is a required application nowadays in many fields as patient monitoring and static human detection. Within the last decade, radar has been introduc…
Real-Time Capable Micro-Doppler Signature Decomposition of Walking Human Limbs
Sherif Abdulatif, Fady Aziz, Bernhard Kleiner +1
Unique micro-Doppler signature (-D) of a human body motion can be analyzed as the superposition of different body parts -D signatures. Extraction of hum…
Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches
Sherif Abdulatif, Qian Wei, Fady Aziz +2
Radar sensors can be used for analyzing the induced frequency shifts due to micro-motions in both range and velocity dimensions identified as micro-Doppler (-D) and m…