Carsten Meyer

Orcid: 0000-0003-3927-5856

According to our database1, Carsten Meyer authored at least 50 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
CNN-Based Osteoporotic Vertebral Fracture Prediction and Risk Assessment on MrOS CT Data: Impact of CNN Model Architecture.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

Using Unlabeled Data in Self-Supervised Training Improves Automatic Vertebral Body Fracture Assessment.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Approaches and tools for user-driven provenance and data quality information in spatial data infrastructures.
Int. J. Digit. Earth, December, 2023

Towards fracture risk assessment by deep-learning-based classification of prevalent vertebral fractures.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Automated Deep-learning-based Vertebral Body Localization and Instance Segmentation for Osteoporosis Assessment using CT.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021
Automated Deep Learning-Based Detection of Osteoporotic Fractures in CT Images.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Conditional Behavior: Human Delegation Mode for Unmanned Vehicles Under Selective Datalink Availability.
Proceedings of the Advances in Human Factors in Robots, Unmanned Systems and Cybersecurity, 2021

2020
Harmonise and integrate heterogeneous areal data with the R package arealDB.
Environ. Model. Softw., 2020

Assessing Attribution Maps for Explaining CNN-Based Vertebral Fracture Classifiers.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019
A General Framework for Localizing and Locally Segmenting Correlated Objects: A Case Study on Intervertebral Discs in Multi-modality MR Images.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Rapid fully automatic segmentation of subcortical brain structures by shape-constrained surface adaptation.
Medical Image Anal., 2018

Analysis of the discriminative generalized Hough transform as a proposal generator for a deep network in automatic pedestrian and car detection.
J. Electronic Imaging, 2018

Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field.
Comput. Vis. Image Underst., 2018

The Discriminative Generalized Hough Transform as a Proposal Generator for a Deep Network in Automatic Pedestrian Localization.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

A Novel Approach to Handle Inference in Discrete Markov Networks with Large Label Sets.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local Refinement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Analysis of the Discriminative Generalized Hough Transform for Pedestrian Detection.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Efficient Epiphyses Localization Using Regression Tree Ensembles and a Conditional Random Field.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016
Structured Edge Detection for Improved Object Localization using the Discriminative Generalized Hough Transform.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Classification of voting patterns to improve the generalized Hough transform for epiphyses localization.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Using web images as additional training resource for the discriminative generalized hough transform.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

2015
A Shape Consistency Measure for Improving the Generalized Hough Transform - Modified Voting Procedure for Discriminative Generalized Hough Transform based on Random Forest Confidence Measure.
Proceedings of the VISAPP 2015, 2015

2012
Limited Angle C-Arm Tomography and Segmentation for Guidance of Atrial Fibrillation Ablation Procedures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
Fully automatic segmentation of complex organ systems: example of trachea, esophagus and heart segmentation in CT images.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Evaluation of Traumatic Brain Injury Patients Using a Shape-Constrained Deformable Model.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

2010
Automatic Segmentation of Rotational X-Ray Images for Anatomic Intra-Procedural Surface Generation in Atrial Fibrillation Ablation Procedures.
IEEE Trans. Medical Imaging, 2010

Optimizing boundary detection via Simulated Search with applications to multi-modal heart segmentation.
Medical Image Anal., 2010

The Generation of Patient-Specific Heart Models for Diagnosis and Interventions.
Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010

2009
A multi-modality segmentation framework: application to fully automatic heart segmentation.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

2008
Automatic Intra-operative Generation of Geometric Left Atrium/Pulmonary Vein Models from Rotational X-Ray Angiography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007
Automatic Whole Heart Segmentation in Static Magnetic Resonance Image Volumes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

2006
Combining Algorithms in Automatic Detection of QRS Complexes in ECG Signals.
IEEE Trans. Inf. Technol. Biomed., 2006

Modeling spontaneous speech variability in professional dictation.
Speech Commun., 2006

Boosting HMM acoustic models in large vocabulary speech recognition.
Speech Commun., 2006

2005
Fast unsupervised speaker adaptation through a discriminative eigen-MLLR algorithm.
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

Combining Algorithms in Automatic Detection of R-peaks in ECG Signals.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

2004
A discipline of dynamic programming over sequence data.
Sci. Comput. Program., 2004

Evaluating the predictability of conformational switching in RNA.
Bioinform., 2004

2002
Temporal Correlations in Stochastic Networks of Spiking Neurons.
Neural Comput., 2002

Towards "Large Margin" Speech Recognizers by Boosting and Discriminative Training.
Proceedings of the Machine Learning, 2002

Utterance-level boosting of HMM speech recognizers.
Proceedings of the IEEE International Conference on Acoustics, 2002

Algebraic Dynamic Programming.
Proceedings of the Algebraic Methodology and Software Technology, 2002

2001
Investigations on conversational speech recognition.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Improved noise robustness by corrective and rival training.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Rival training: efficient use of data in discriminative training.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Training of isolated word recognizers with continuous speech.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1997
Zeitliche Korrelationen in stochastischen Netzwerken 'spikender' Neurone.
PhD thesis, 1997


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