A Two-Stage-Classifier for Defect Classification in Optical Media Inspection. - Daniel Toth 002; Alexandru Condurache; Til Aach (ICPR (4), 2002)

Fast Detection and Processing of Arbitrary Contrast Agent Injections in Coronary Angiography and Fluoroscopy. - Alexandru Condurache; Til Aach; Kai Eck; Jörg Bredno (Bildverarbeitung für die Medizin, 2004)

Statistical-model-based identification of complete vessel-tree frames in coronary angiograms. - Til Aach; Alexandru Paul Condurache; Kai Eck; Jörg Bredno (Computational Imaging, 2004)

Vessel Segmentation for Angiographic Enhancement and Analysis. - Alexandru Condurache; Til Aach; Kai Eck; Jörg Bredno; Stephan Grzybowski; Hans-Günther Machens (Bildverarbeitung für die Medizin, 2005)

Vessel Segmentation and Analysis in Laboratory Skin Transplant Micro-Angiograms. - Alexandru Condurache; Til Aach; Stephan Grzybowski; Hans-Günther Machens (CBMS, 2005)

Imaging and analysis of angiogenesis for skin transplantation by microangiography. - Alexandru Condurache; Til Aach; Stephan Grzybowski; Hans-Günther Machens (ICIP (2), 2005)

Fast and robust diaphragm detection and tracking in cardiac x-ray projection images. - Alexandru Condurache; Til Aach; Kai Eck; Jörg Bredno; Thomas Stehle (Image Processing, 2005)

Vessel Segmentation in Angiograms using Hysteresis Thresholding. - Alexandru Condurache; Til Aach (MVA, 2005)

Automatic In-Vitro Orifice Area Determination and Fluttering Analysis for Tricuspid Heart Valves. - Tobias Hahn; Alexandru Condurache; Til Aach; Michael Scharfschwerdt; Martin Misfeld (Bildverarbeitung für die Medizin, 2006)

Vessel Segmentation in 2D-Projection Images Using a Supervised Linear Hysteresis Classifier. - Alexandru Condurache; Til Aach (ICPR (1), 2006)

Cardiovascular biomedical image analysis: methods and applications. - Alexandru Paul Condurache (2006)

Automatic measuring of quality criteria for heart valves. - Alexandru Paul Condurache; Tobias Hahn; Ulrich G. Hofmann; Michael Scharfschwerdt; Martin Misfeld; Til Aach (Image Processing, 2007)

A point-event detection algorithm for the analysis of contrast bolus in fluoroscopic images of the coronary arteries. - Alexandru Condurache; Alfred Mertins (EUSIPCO, 2009)

Supervised, hysteresis-based segmentation of retinal images using the linear-classifier percentile. - Alexandru Condurache; Alfred Mertins; Til Aach (GI Jahrestagung, 2009)

Video-Based Measuring of Quality Parameters for Tricuspid Xenograft Heart Valve Implants. - Alexandru Paul Condurache; Tobias Hahn; Michael Scharfschwerdt; Alfred Mertins; Til Aach (IEEE Trans. Biomed. Eng., 2009)

An LDA-based Relative Hysteresis Classifier with Application to Segmentation of Retinal Vessels. - Alexandru Condurache; Florian Müller 002; Alfred Mertins (ICPR, 2010)

Robust Core-Point-ROI Based Fingerprint Identification Using a Sparse Classifier. - Alexandru Condurache; Alfred Mertins (DICTA, 2011)

Linear Prediction Based Mixture Models for Event Detection in Video Sequences. - Dierck Matern; Alexandru Condurache; Alfred Mertins (IbPRIA, 2011)

Elastic-Transform Based Multiclass Gaussianization. - Alexandru Condurache; Alfred Mertins (IEEE Signal Process. Lett., 2011)

Robust retina-based person authentication using the sparse classifier. - Alexandru Paul Condurache; Johannes Kotzerke; Alfred Mertins (EUSIPCO, 2012)

Event Detection using Log-linear Models for Coronary Contrast Agent Injections. - Dierck Matern; Alexandru Paul Condurache; Alfred Mertins (ICPRAM (2), 2012)

Sparse Representations and Invariant Sequence-feature Extraction for Event Detection. - Alexandru Paul Condurache; Alfred Mertins (VISAPP (1), 2012)

Segmentation of retinal vessels with a hysteresis binary-classification paradigm. - Alexandru Paul Condurache; Alfred Mertins (Comput. Medical Imaging Graph., 2012)

Adaptive and automated ambiance surveillance and event detection for Ambient Assisted Living. - Dierck Matern; Alexandru Condurache; Alfred Mertins (EMBC, 2013)

Accelerated Nonlinear Gaussianization for Feature Extraction. - Alexandru Paul Condurache; Alfred Mertins (ICPRAM, 2013)

Automated Intrusion Detection for Video Surveillance Using Conditional Random Fields. - Dierck Matern; Alexandru Paul Condurache; Alfred Mertins (MVA, 2013)

Graphical stochastic models for tracking applications with variational message passing inference. - Felix Trusheim; Alexandru Condurache; Alfred Mertins (IPTA, 2016)

Visual Landmark Based 3D Road Course Estimation with Black Box Variational Inference. - Felix Trusheim; Alexandru Condurache; Alfred Mertins (CAIP (1), 2017)

SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images. - Benjamin Coors; Alexandru Paul Condurache; Andreas Geiger 001 (ECCV (9), 2018)

Boosting Black-Box Variational Inference by Incorporating the Natural Gradient. - Felix Trusheim; Alexandru Condurache; Alfred Mertins (ICPR, 2018)

Learning Transformation Invariant Representations with Weak Supervision. - Benjamin Coors; Alexandru Condurache; Alfred Mertins; Andreas Geiger 001 (VISIGRAPP (5: VISAPP), 2018)

NoVA: Learning to See in Novel Viewpoints and Domains. - Benjamin Coors; Alexandru Paul Condurache; Andreas Geiger 001 (3DV, 2019)

FreezeNet: Full Performance by Reduced Storage Costs. - Paul Wimmer; Jens Mehnert; Alexandru Condurache (ACCV (6), 2020)

GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples. - Julia Lust; Alexandru Paul Condurache (ESANN, 2020)

Invariant Integration in Deep Convolutional Feature Space. - Matthias Rath 001; Alexandru Paul Condurache (ESANN, 2020)

Deep Radar Sensor Models for Accurate and Robust Object Tracking. - Jasmin Ebert; Thomas Gumpp; Sebastian Münzner; Alex Matskevych; Alexandru Paul Condurache; Claudius Gläser (ITSC, 2020)

A Survey on Assessing the Generalization Envelope of Deep Neural Networks at Inference Time for Image Classification. - Julia Lust; Alexandru Paul Condurache (CoRR, 2020)

COPS: Controlled Pruning Before Training Starts. - Paul Wimmer; Jens Mehnert; Alexandru Condurache (IJCNN, 2021)

Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs. - Paul Wimmer; Jens Mehnert; Alexandru Condurache (CVPR, 2022)

Improving the Sample-complexity of Deep Classification Networks with Invariant Integration. - Matthias Rath 001; Alexandru Paul Condurache (VISIGRAPP (5: VISAPP), 2022)

Efficient detection of adversarial, out-of-distribution and other misclassified samples. - Julia Lust; Alexandru Paul Condurache (Neurocomputing, 2022)

Deep Neural Networks with Efficient Guaranteed Invariances. - Matthias Rath 001; Alexandru Paul Condurache (AISTATS, 2023)

GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations. - Julia Lust; Alexandru Paul Condurache (IJCNN, 2023)

3D-SpLineNet: 3D Traffic Line Detection using Parametric Spline Representations. - Maximilian Pittner; Alexandru Condurache; Joel Janai (WACV, 2023)

Rethinking Integration of Prediction and Planning in Deep Learning-Based Automated Driving Systems: A Review. - Steffen Hagedorn; Marcel Hallgarten; Martin Stoll; Alexandru Condurache (CoRR, 2023)

Instant Complexity Reduction in CNNs using Locality-Sensitive Hashing. - Lukas Meiner; Jens Mehnert; Alexandru Paul Condurache (CoRR, 2023)

Dimensionality reduced training by pruning and freezing parts of a deep neural network: a survey. - Paul Wimmer; Jens Mehnert; Alexandru Paul Condurache (Artif. Intell. Rev., 2023)

Unsupervised Point Cloud Registration with Self-Distillation. - Christian Löwens; Thorben Funke; André Wagner; Alexandru Paul Condurache (BMVC, 2024)

LaneCPP: Continuous 3D Lane Detection Using Physical Priors. - Maximilian Pittner; Joel Janai; Alexandru Paul Condurache (CVPR, 2024)

Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving. - Steffen Hagedorn; Marcel Milich; Alexandru Paul Condurache (IV, 2024)

Boosting deep neural networks with geometrical prior knowledge: a survey. - Matthias Rath 001; Alexandru Paul Condurache (Artif. Intell. Rev., 2024)

Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks. - Uranik Berisha; Jens Mehnert; Alexandru Paul Condurache (CVPR, 2025)

Data-Free Dynamic Compression of CNNs for Tractable Efficiency. - Lukas Meiner; Jens Mehnert; Alexandru Paul Condurache (VISIGRAPP (2): VISAPP, 2025)

FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation. - Bin Yang; Alexandru Paul Condurache (CoRR, 2025)

Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback. - Steffen Hagedorn; Aron Distelzweig; Marcel Hallgarten; Alexandru Condurache (CoRR, 2025)

PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs. - Lukas Meiner; Jens Mehnert; Alexandru Paul Condurache (CoRR, 2025)

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging. - Ali Alawieh; Alexandru Paul Condurache (CoRR, 2025)

Variance-Based Pruning for Accelerating and Compressing Trained Networks. - Uranik Berisha; Jens Mehnert; Alexandru Paul Condurache (CoRR, 2025)