Zeitliche Korrelationen in stochastischen Netzwerken 'spikender' Neurone. - Carsten Meyer (1997)

Training of isolated word recognizers with continuous speech. - Reinhard Blasig; Georg Rose; Carsten Meyer (INTERSPEECH, 2000)

Rival training: efficient use of data in discriminative training. - Carsten Meyer; Georg Rose (INTERSPEECH, 2000)

Improved noise robustness by corrective and rival training. - Carsten Meyer; Georg Rose (ICASSP, 2001)

Investigations on conversational speech recognition. - Peter Beyerlein; Xavier L. Aubert; Matthew Harris; Carsten Meyer; Hauke Schramm (INTERSPEECH, 2001)

Algebraic Dynamic Programming. - Robert Giegerich; Carsten Meyer (AMAST, 2002)

Utterance-level boosting of HMM speech recognizers. - Carsten Meyer (ICASSP, 2002)

Towards "Large Margin" Speech Recognizers by Boosting and Discriminative Training. - Carsten Meyer; Peter Beyerlein (ICML, 2002)

Temporal Correlations in Stochastic Networks of Spiking Neurons. - Carsten Meyer; Carl van Vreeswijk (Neural Comput., 2002)

Evaluating the predictability of conformational switching in RNA. - Björn Voss; Carsten Meyer; Robert Giegerich (Bioinform., 2004)

A discipline of dynamic programming over sequence data. - Robert Giegerich; Carsten Meyer; Peter Steffen (Sci. Comput. Program., 2004)

Combining Algorithms in Automatic Detection of R-peaks in ECG Signals. - José Fernández 002; Matthew Harris; Carsten Meyer (CBMS, 2005)

Fast unsupervised speaker adaptation through a discriminative eigen-MLLR algorithm. - Bart Bakker; Carsten Meyer; Xavier L. Aubert (INTERSPEECH, 2005)

Boosting HMM acoustic models in large vocabulary speech recognition. - Carsten Meyer; Hauke Schramm (Speech Commun., 2006)

Modeling spontaneous speech variability in professional dictation. - Hauke Schramm; Xavier L. Aubert; Bart Bakker; Carsten Meyer; Hermann Ney (Speech Commun., 2006)

Combining Algorithms in Automatic Detection of QRS Complexes in ECG Signals. - Carsten Meyer; José Fernández Gavela; Matthew Harris (IEEE Trans. Inf. Technol. Biomed., 2006)

Automatic Whole Heart Segmentation in Static Magnetic Resonance Image Volumes. - Jochen Peters; Olivier Ecabert; Carsten Meyer; Hauke Schramm; Reinhard Kneser; Alexandra Groth; Jürgen Weese (MICCAI (2), 2007)

Automatic Intra-operative Generation of Geometric Left Atrium/Pulmonary Vein Models from Rotational X-Ray Angiography. - Carsten Meyer; Robert Manzke; Jochen Peters; Olivier Ecabert; Reinhard Kneser; Vivek Y. Reddy; Raymond C. Chan; Jürgen Weese (MICCAI (2), 2008)

A multi-modality segmentation framework: application to fully automatic heart segmentation. - Carsten Meyer; Olivier Ecabert; Jochen Peters; Reinhard Kneser; Robert Manzke; Raymond C. Chan; Jürgen Weese (Image Processing, 2009)

The Generation of Patient-Specific Heart Models for Diagnosis and Interventions. - Jürgen Weese; Jochen Peters; Carsten Meyer; Irina Wächter; Reinhard Kneser; Helko Lehmann; Olivier Ecabert; Hans Barschdorf; Raghed Hanna; Frank M. Weber (STACOM/CESC, 2010)

Optimizing boundary detection via Simulated Search with applications to multi-modal heart segmentation. - Jochen Peters; Olivier Ecabert; Carsten Meyer; Reinhard Kneser; Jürgen Weese (Medical Image Anal., 2010)

Automatic Segmentation of Rotational X-Ray Images for Anatomic Intra-Procedural Surface Generation in Atrial Fibrillation Ablation Procedures. - Robert Manzke; Carsten Meyer; Olivier Ecabert; Jochen Peters; Niels J. Noordhoek; Aravinda Thiagalingam; Vivek Y. Reddy; Raymond C. Chan; Jürgen Weese (IEEE Trans. Medical Imaging, 2010)

Evaluation of Traumatic Brain Injury Patients Using a Shape-Constrained Deformable Model. - Lyubomir Zagorchev; Carsten Meyer; Thomas Stehle; Reinhard Kneser; Stewart Young; Jürgen Weese (MBIA, 2011)

Fully automatic segmentation of complex organ systems: example of trachea, esophagus and heart segmentation in CT images. - Carsten Meyer; Jochen Peters; Jürgen Weese (Image Processing, 2011)

Limited Angle C-Arm Tomography and Segmentation for Guidance of Atrial Fibrillation Ablation Procedures. - Dirk Schäfer 001; Carsten Meyer; Roland Bullens; Axel Saalbach; Peter Eshuis (MICCAI (1), 2012)

A Shape Consistency Measure for Improving the Generalized Hough Transform - Modified Voting Procedure for Discriminative Generalized Hough Transform based on Random Forest Confidence Measure. - Ferdinand Hahmann; Gordon Böer; Eric Gabriel; Carsten Meyer; Hauke Schramm (VISAPP (2), 2015)

Using web images as additional training resource for the discriminative generalized hough transform. - Alexander Oliver Mader; Hauke Schramm; Carsten Meyer (IPTA, 2016)

Classification of voting patterns to improve the generalized Hough transform for epiphyses localization. - Ferdinand Hahmann; Gordon Böer; Eric Gabriel; Thomas M. Deserno; Carsten Meyer; Hauke Schramm (Computer-Aided Diagnosis, 2016)

Structured Edge Detection for Improved Object Localization using the Discriminative Generalized Hough Transform. - Eric Gabriel; Ferdinand Hahmann; Gordon Böer; Hauke Schramm; Carsten Meyer (VISIGRAPP (4: VISAPP), 2016)

Efficient Epiphyses Localization Using Regression Tree Ensembles and a Conditional Random Field. - Alexander Oliver Mader; Hauke Schramm; Carsten Meyer (Bildverarbeitung für die Medizin, 2017)

Analysis of the Discriminative Generalized Hough Transform for Pedestrian Detection. - Eric Gabriel; Hauke Schramm; Carsten Meyer (ICIAP (2), 2017)

Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field. - Alexander Oliver Mader; Cristian Lorenz; Martin Bergtholdt; Jens von Berg; Hauke Schramm; Jan Modersitzki; Carsten Meyer (GRAIL/MFCA/MICGen@MICCAI, 2017)

Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local Refinement. - Alexander Oliver Mader; Jens von Berg; Alexander Fabritz; Cristian Lorenz; Carsten Meyer (MICCAI (2), 2018)

A Novel Approach to Handle Inference in Discrete Markov Networks with Large Label Sets. - Alexander Oliver Mader; Jens von Berg; Cristian Lorenz; Carsten Meyer (PGM, 2018)

The Discriminative Generalized Hough Transform as a Proposal Generator for a Deep Network in Automatic Pedestrian Localization. - Eric Gabriel; Hauke Schramm; Carsten Meyer (VISIGRAPP (5: VISAPP), 2018)

Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field. - Alexander Oliver Mader; Cristian Lorenz; Martin Bergtholdt; Jens von Berg; Hauke Schramm; Jan Modersitzki; Carsten Meyer (Comput. Vis. Image Underst., 2018)

Analysis of the discriminative generalized Hough transform as a proposal generator for a deep network in automatic pedestrian and car detection. - Eric Gabriel; Michael Schleiss; Hauke Schramm; Carsten Meyer (J. Electronic Imaging, 2018)

Rapid fully automatic segmentation of subcortical brain structures by shape-constrained surface adaptation. - Fabian Wenzel; Carsten Meyer; Thomas Stehle; Jochen Peters; Susanne Siemonsen; Christian Thaler; Lyubomir Zagorchev (Medical Image Anal., 2018)

Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging. - Alexander Oliver Mader; Cristian Lorenz; Jens von Berg; Carsten Meyer (MICCAI (6), 2019)

A General Framework for Localizing and Locally Segmenting Correlated Objects: A Case Study on Intervertebral Discs in Multi-modality MR Images. - Alexander Oliver Mader; Cristian Lorenz; Carsten Meyer (MIUA, 2019)

Assessing Attribution Maps for Explaining CNN-Based Vertebral Fracture Classifiers. - Eren Bora Yilmaz; Alexander Oliver Mader; Tobias Fricke; Jaime Peña 002; Claus-Christian Glüer; Carsten Meyer (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Harmonise and integrate heterogeneous areal data with the R package arealDB. - Steffen Ehrmann; Ralf Seppelt; Carsten Meyer (Environ. Model. Softw., 2020)

Conditional Behavior: Human Delegation Mode for Unmanned Vehicles Under Selective Datalink Availability. - Carsten Meyer; Axel Schulte (AHFE (10), 2021)

Automated Deep Learning-Based Detection of Osteoporotic Fractures in CT Images. - Eren Bora Yilmaz; Christian Bürger; Tobias Fricke; Md Motiur Rahman Sagar; Jaime Peña 002; Cristian Lorenz; Claus-Christian Glüer; Carsten Meyer (MLMI@MICCAI, 2021)

Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab. - Hellena Hempe; Eren Bora Yilmaz; Carsten Meyer; Mattias P. Heinrich (Image Processing, 2022)

Automated Deep-learning-based Vertebral Body Localization and Instance Segmentation for Osteoporosis Assessment using CT. - Nicolai R. Krekiehn; Eren Bora Yilmaz; Hannes C. Kruse; Carsten Meyer; Claus-Christian Glüer (Bildverarbeitung für die Medizin, 2023)

Towards fracture risk assessment by deep-learning-based classification of prevalent vertebral fractures. - Eren Bora Yilmaz; Tobias Fricke; Julian Laue; Constanze Polzer; Sam Sedaghat; Jan-Bernd Hövener; Claus-Christian Glüer; Carsten Meyer (Computer-Aided Diagnosis, 2023)

Approaches and tools for user-driven provenance and data quality information in spatial data infrastructures. - Julia Fischer; Lukas Egli; Juliane Groth; Caterina Barrasso; Steffen Ehrmann; Heiko Figgemeier; Christin Henzen; Carsten Meyer; Ralph Müller-Pfefferkorn; Arne Rümmler; Michael Wagner 027; Lars Bernard; et al. (Int. J. Digit. Earth, 2023)

A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models. - Manuel Schwonberg; Claus Werner; Hanno Gottschalk; Carsten Meyer (BMVC Workshops, 2024)

Using Unlabeled Data in Self-Supervised Training Improves Automatic Vertebral Body Fracture Assessment. - Julian Laue; Christian Adolph; Eren Bora Yilmaz; Carsten Meyer (ISBI, 2024)

CNN-Based Osteoporotic Vertebral Fracture Prediction and Risk Assessment on MrOS CT Data: Impact of CNN Model Architecture. - Mohd Faraz Shaikh; Eren Bora Yilmaz; O. Mercy Akinloye; Sandra Freitag-Wolf; Srinivas Kachavarapu; Nicolai R. Krekiehn; Claus-Christian Glüer; Eric Orwoll; Carsten Meyer (MIUA (2), 2024)