Completed work

Topic

Topic

Towards Dye-less Breast Cancer Screening: Image-to-Image Translation for Digital Contrast-Enhanced mammography^{AKR Sony}

Topic

Quantifying Distribution Shift by Normalizing Flows^AKR

On the training ·of neural network for super-resolution of automotive radar

Uncertainty estimation via deep ensembling for MR image reconstruction

Radar for Monitoring Vital Signs in Dynamic Range

Occupancy Grid Map Completion Using Deep Learning

Weakly Supervised Segmenation von Perfusionsdefekten der Lunge in Arterial Spin Labeling (ASL) MR-Aufnahmen

Application of Machine Learning methods for modelling the dispersion of ambient air pollution

Sound Event LocalizationLocalization and Sound Event Detectionand Detection

Self-assisted priors for motion artifact detection and correction

Multivariate Causal Discovery Based on Post-Nonlinear models

Multimodal fusion for high resolution microscopy using deep autoencoders

AI Assisted Semi-Automatic Labeling of Eye Contact Data Using Active Learning Approach

Accelerating cardiac MR by exploiting spatio-temporal information

Continual Unsupervised Domain Adaptation for Semantic Segmentation through Photorealistic Style Transfer

Untersuchung der Anwendungsmöglichkeit und Performance von Transformer-Architekturen in industriellen Produktionsumgebungen

Multi-target angle estimation for automotive imaging radar

A Bayesian Approach for Unsupervised Domain Adaptation in 2D Object Detection

Case study for the validity of precollected uD/uA  dataset

Domain Adaptation for 3D Object Detection in Different Weather Conditions

Lidar Upsampling for Domain Adaptive 3D Object Detection

Correcting the semantic mismatch of unpaired semantic image synthesis in autonomous driving datasets

Investigating Contrastive Learning as an Auxiliary Task for Imitation Learning

Implementation of speech module on Ohmni telepresence robot for office automation and autonomous robot control

Feature Selection via Exploring Intra- and Inter-Class Information

Stereokamera

Deep Learning-based radar super resolution

^AKR  Winner of the Anton and Klara Röser Award

  ^RS Winner of the Rohde and Schwarz Award

^VDI Winner of the VDI Study Award

^VDE Winner of the VDE Study Award

^Sony Winner of the Sony Graduate Award

^SRCSB Award Stuttgart Research Center Systems Biology (SRCSB)

Topic

From Depth-Cameras to convex hulls of the free-configuration space of the robot for safe human collaboration

Test-time Training using Meta-Learning to Tackle Distributions Shifts during Testing

GANs for Lidar pointcloud denoising and synthetic-to-real translation

Domain Adaptation for Segmentation in Medical Imaging

Interior Monitoring System for Autonomous Shuttles

Temporal Segmentation of video recordings from a surgical microscope using machine learning methods

Style Transfer for Unsupervised Domain Adaptation in Semantic Segmentation with Spatial Control

Deep-Learning-Based Anomaly Detection

Insight into feature mask module

Gesteuerte Generierung synthetischer Zeitserien

Chronological Age estimation from 3D whole-body MRI scans

Compensation of imperfection in RF circuit

Minimizing Catastrophic Forgetting Through Mixing or Modifying Input Data

Optimized path prediction for autonomous driving using deep learning

MR motion artefact detection and correction in image and k-space

Temporal Convolutional Networks for Surface Electromyography Decomposition

Cardiac MR image reconstruction levearaging spatio-temporal

Indoor Positioning based on Active Radar Sensing and Passive Reference Points^AKR

Test-Time Adaption using Contrasted Cluster Assignments

Contrastive Learning from Weak Annotations for Medical Image Segmentation

Investigating Attention Models in Music Source Separation

Few-Shot RetinaNet: Improving discriminability and transferability of meta dense detectors^AKR

Constraint-based Optimization Approach for Generalized Few-Shot Object Detection^Sony

Temporal-aware super resolution for cardiac CINE MR

Benchmarking Representation Learning for Carla

Detection and Quantification of Data Distribution Shifts

Motion-compensated image reconstruction using generative networks

Graph Neural Networks for Automotive Radar

Domain Adaptation forLiDAR Environment Perception

Applications of Causal Learning in Blind Source Separation

Investigation of FairNAS on Object detection for CenterNet

Explorative Analyse und Weiterverarbeitung von Streamingdaten für modernes Radio

Imitation Learning basierte Trajektorienplanung für Spurwechsel auf Autobahnen

Efficient long-term and short-term MR image registration

ConvLSTM based cell lineage analysis in optical microscopy sequences^{SRCSB AKR}

A Self-supervised Approach for Language and Noise Transfer in Speech Enhancement

Application of reinforcement learning algorithms for estimating the value of cognitive control in the context of human learning

Deep Learning and Deep Reinforcement Learning approach using Combinatorial Optimization techniques for sheet metal production

Solving the packing efficiency for the sheet metal production using Deep learning and Deep Reinforcement Learning

Monocular Scene Flow

Accelerating cardiac MR by exploiting spatio-temporal information

Deep Learning based Interference Detection and Avoidance for Automotive Radar

Causal Discovery via Probabilistic System Validation

Feature Selection in Real-World Applications

Vorhersage von ECOG-Parametern anhand von medizinischen Berichten

Deep Anomaly Detection

Schätzung von PV-Modulkennlinien aus Elektrolumineszenzaufnahmen

Merkmalsanalyse für die Klassifikation krankhafter Veränderungen in MRT-Aufnahmen der Lungen von Mukoviszidose-Patienten

DL-based motion-corrected reconstruction: an evaluation study

Power Amplifier Modelling in Frequency Division Duplex Transceivers

Merkmalsbasierte Klassifikation von charakteristischen krankhaften Veränderungen der Lunge von Mukoviszidosepatienten

Generating simulated human behaviours for validating robotic systems/behaviours

Untersuchung von Hybrid-Feature-Learning-Ansätzen für die Analyse medizinischer Bilddaten

3D generative models for MR image super resolution

Distributed Training of Artificial Neural Networks

Automatic Programming of Synthesizer Parameters using a Wavetable Synthesizer and a DNN

DL-based automated analysis of microscopic cell images for anti- cancer research

Unsupervised semantic image synthesis with style transfer

Untersuchung von Semi-supervised Learning für Organsegmentierung in PET-Bildern mit wenigen Trainingsdaten

Untersuchung von Transfer Learning für die automatische Organsegmentierung in PET-Bildern

Investigating Speech Enhancement in Time Domain Frameworks

Erweiterung eines Frameworks zur Detektion von krankhaften Veränderungen in Lungen-MRT-Bildern von Mukoviszidose-Patienten

Deep learning-based super resolution for automotive radar

On the generalization ability of GAN for automotive radar

Research on domain adaptation based on context analysis

Development of a new radar KPI metric on raw data level by sub-clustering of radar reflexions employing a GMM

Deep Learning-Based RGB-D Fusion for Vision Perception

Contrastive State Representation Learning for Policy Optimizatio

Graph-based Map Representation in Trajectory Prediction for Automated Driving

Hardware-Level Modeling of an Energy Efficient Neuron Implementation

Interference Classification for Cognitive Radar based on Machine Learning

Optimization of Automotive RADAR for higher DOA resolution

Model-Agnostic Test-Time Adaption

Conditional GAN based portrait editing using reference facial mask

Optimierung von Hybridantrieben durch maschinelles Lernen

Unsupervised Radar Signals Enhancement

^AKR  Winner of the Anton and Klara Röser Award

  ^RS Winner of the Rohde and Schwarz Award

^VDI Winner of the VDI Study Award

^VDE Winner of the VDE Study Award

^Sony Winner of the Sony Graduate Award

^SRCSB Award Stuttgart Research Center Systems Biology (SRCSB)

Topic

Feature Selection Based on a Novel Contrastive Regularization

Unsupervised Domain Adaptation for Multimodal Data using Self-Supervision and Adversarial Training

Domain Adaptation in Deep Reinforcement Learning

Handcrafted machine learning versus Deep Learning: Decoding neurophysiological signals for the comparison of workload and emotion classification

Merkmalsbasierte Multi-Task-Klassifikation für die automatische Inhaltserkennung in CT-Bildern

Implementation of Body Region Classification in 2D CT Image of arbitrary Orientation for a Deep-Learning-based Multi-Task

Extension of a Framework for Deep-Learning-based Therapy Response Prediction of Melanoma Patients to Immunotherapy

Exploiting spatio-temporal redundancies for high-dimensional deep-learning based image reconstruction

Landmark Prediction in Medical Imaging Data using Graph Neural Networks

Investigation of Polarimetric Landmarks for Self-Localization in Automated Driving

State Representation Learning for Atari

Deep Learning Algorithms for Bearing Fault Classification

Uncertainty Calibration in Deep Learning

Efficient Medical Image Segmentation with Graph Neural Networks

Investigation of Generative Models for Automated Organ Segmentation in PET Images with Deep Learning

Bildgebendes Radarverfahren basierend auf frequenzagilen Antennen

False Positive Predictor for Autonomous Perception Systems

Learning from different amounts of labeled data: an investigation on semi-supervised domain adaptation for semantic segmentation

Selection and Application of suitable methods in the fields of Data Science and Machine Learning to predict Software-as-a-Service (SaaS) startups

Online Continual Learning

Investigating Generative Models for Music Source Separation

Compact Deep Learning Architecture for radar based 3D object detection

Real-life applications for image-to-image translation

Meta Learning for Semantic Medical Image Segmentation

Modellfree Segmentation of RGB-D Images for simple Objects in Grasping Experiments

Analysis of automotive mutual interference and interference mitigation techniques

A survey on automotive radar interference mitigation techniques using deep learning

Feature Selection in Detection and Recognition Using Deep Learning

Training of DNNs under constraints for energy efficient HW implementation

Biological Age Estimation for 3D MRI Scans

Automatisierte Bestimmung der individuell-optimalen Position eines neuartigen Trommelfellkontakthörgerätes auf Basis anatomischer Merkmale

Improvement of a Feature-based Approach to Automated Segmentation of Lung Tumors in PET/CT imges

Prediction of response to immunotherapy and overall survival rate in temporal staging of melanoma patients with multi-modal hybrid imaging.

Optimization and Improvements on the MedGAN Architecture

Siamese Networks for Biological Age Estimation

Exploring speech enhancement using hybrid domain models

Klinisch durchführbare Pipeline zur Erkennung und Korrektur von Bewegungsartefakten

Erweiterung eines Deep-Learning-Frameworks für die Vorhersage des Ansprechens von Melanom-Patienten auf Immuntherapie aus PET/MR-Bildern

Model based speech denoising

Addressing Catastrophic Interference in Policy Optimization Agents

Weakly Supervised Localization and Segmentation for Medical Images using Class Activation Maps

Machine learning framework for automatic lameness identification in dairy cattle

Realistic Human Behaviour Models for the Risk Assessment of Human-Robot Collaboration Scenarios

Feature Selection Using Attention Mechanism in Deep Learning

Statistical Model based Speech Denoising

Interference Mitigation for Automotive Chirp Sequence Radar

An overview of modern model-based speech denoising techniques

Semantic Segmentation of Sheet Metal Parts

Generierung kontinuierlicher biomedizinischer Signale mittels neuronaler Netzwerke

Learning active learning in the batch-mode setup

From the Lab to the Real-World: Multimodal Emotion Recognition in Drivers

Evaluation von Verfahren zur Anomaliedetektion für die Defekt-klassifikation

Klassifikation inkohärenter Bewegungsmuster in der diffusionsgewichteten Bildgebung

Insight into Modern Open Set Recognition Approaches

CNN-basierte Vorhersage des Therapieansprechens von Melanom-Patienten auf Immuntherapie

Automated Segmentation of LIver, Spleen and Vertebra in PET Images

Radar-based stair dimensioning for empowered prosthetic limbs

Pixel-Level Outlier Detection Using Deep Learning

Manifold Gaussian Processes for Transfer Learning in Bayesian Optimization

Titel: Learning-based Mesh Segmentation Using Graph Convolution

Trainigsdaten-Reduzierung mit Hilfe von Active Learning für die automatisierte Segmentierung von Lungentumoren

Analyse und Evaluation struktureller Parameter der Hüfte mittels geometrischer 3D-Modelle

Light Weight Probabilistic Neural Architectures in Generative Adversarial Networks

Moderne Deep-Learning-Architekturen für medizinische Bildsegmentierung

Unsupervised Domain Adaptation for Semantic Segmentation

Transferlernen mit tiefen Neuronalen Netzen

Enhancement of 3D Anomaly Detection for Inline Computed Tomography

Transfer Station detection with 2D-Lidar data using deep learning method

Continual Deep Reinforcement Learning

Gestenklassifizierung in biomedizinischen Zeitreihen mittels neuronaler Netzwerke

Representation Learning for Medical Image Analysis

Discriminative Clustering using a Bidirectional GAN

Latent Space Bayesian Optimization with Transfer Learning

GAN based self Interference cancellation in digital transceivers

Motion Correction of 3D scans with adversarial training

Unsupervised and semi-supervised correction of motion artifacts in MR

Investigation and Evaluation of novel Deep Learning Architectures for Semantic Segmentation of MR Images

Neural Architecture Search with Resource Constraints

Comparison of Policy Optimization and Q-Learning Methods in the Setting of Deep Reinforcement Learning

Transfer learning for MR motion artifact detection

^AKR  Winner of the Anton and Klara Röser Award

  ^RS Winner of the Rohde and Schwarz Award

^VDI Winner of the VDI Study Award

^VDE Winner of the VDE Study Award

^Sony Winner of the Sony Graduate Award

^AKR  Winner of the Anton and Klara Röser Award

  ^FdU Preis der Freunde der Uiversität Stuttgart

  ^RS Winner of the Rohde and Schwarz Award

^VDI Winner of the VDI Study Award

^VDE Winner of the VDE Study Award

^Sony Winner of the Sony Graduate Award

^AKR  Winner of the Anton and Klara Röser Award

  ^RS Winner of the Rohde and Schwarz Award

^VDI Winner of the VDI Study Award

^VDE Winner of the VDE Study Award

^AKR  Winner of the Anton & Klara Röser Award

  ^RS Winner of the Rohde & Schwarz Award

^VDI Winner of the VDI Study Award

^VDE Winner of the VDE Study Award