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Carsten Meyer
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2020 – today
- 2024
- [c36]Julian Laue, Christian Adolph, Eren Bora Yilmaz, Carsten Meyer:
Using Unlabeled Data in Self-Supervised Training Improves Automatic Vertebral Body Fracture Assessment. ISBI 2024: 1-5 - [c35]Mohd Faraz Shaikh, Eren Bora Yilmaz, O. Mercy Akinloye, Sandra Freitag-Wolf, Srinivas Kachavarapu, Nicolai R. Krekiehn, Claus-Christian Glüer, Eric Orwoll, Carsten Meyer:
CNN-Based Osteoporotic Vertebral Fracture Prediction and Risk Assessment on MrOS CT Data: Impact of CNN Model Architecture. MIUA (2) 2024: 42-57 - 2023
- [j13]Julia Fischer, Lukas Egli, Juliane Groth, Caterina Barrasso, Steffen Ehrmann, Heiko Figgemeier, Christin Henzen, Carsten Meyer, Ralph Müller-Pfefferkorn, Arne Rümmler, Michael Wagner, Lars Bernard, Ralf Seppelt:
Approaches and tools for user-driven provenance and data quality information in spatial data infrastructures. Int. J. Digit. Earth 16(1): 1510-1529 (2023) - [c34]Nicolai R. Krekiehn, Eren Bora Yilmaz, Hannes C. Kruse, Carsten Meyer, Claus-Christian Glüer:
Automated Deep-learning-based Vertebral Body Localization and Instance Segmentation for Osteoporosis Assessment using CT. Bildverarbeitung für die Medizin 2023: 171-176 - [c33]Eren Bora Yilmaz, Tobias Fricke, Julian Laue, Constanze Polzer, Sam Sedaghat, Jan-Bernd Hövener, Claus-Christian Glüer, Carsten Meyer:
Towards fracture risk assessment by deep-learning-based classification of prevalent vertebral fractures. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [c32]Hellena Hempe, Eren Bora Yilmaz, Carsten Meyer, Mattias P. Heinrich:
Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab. Medical Imaging: Image Processing 2022 - 2021
- [c31]Carsten Meyer, Axel Schulte:
Conditional Behavior: Human Delegation Mode for Unmanned Vehicles Under Selective Datalink Availability. AHFE (10) 2021: 35-42 - [c30]Eren Bora Yilmaz, Christian Bürger, Tobias Fricke, Md Motiur Rahman Sagar, Jaime Peña, Cristian Lorenz, Claus-Christian Glüer, Carsten Meyer:
Automated Deep Learning-Based Detection of Osteoporotic Fractures in CT Images. MLMI@MICCAI 2021: 376-385 - 2020
- [j12]Steffen Ehrmann, Ralf Seppelt, Carsten Meyer:
Harmonise and integrate heterogeneous areal data with the R package arealDB. Environ. Model. Softw. 133: 104799 (2020) - [c29]Eren Bora Yilmaz, Alexander Oliver Mader, Tobias Fricke, Jaime Peña, Claus-Christian Glüer, Carsten Meyer:
Assessing Attribution Maps for Explaining CNN-Based Vertebral Fracture Classifiers. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 3-12
2010 – 2019
- 2019
- [c28]Alexander Oliver Mader, Cristian Lorenz, Jens von Berg, Carsten Meyer:
Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging. MICCAI (6) 2019: 384-392 - [c27]Alexander Oliver Mader, Cristian Lorenz, Carsten Meyer:
A General Framework for Localizing and Locally Segmenting Correlated Objects: A Case Study on Intervertebral Discs in Multi-modality MR Images. MIUA 2019: 364-376 - [i1]Steffen Ehrmann, Ralf Seppelt, Carsten Meyer:
Harmonise and integrate heterogeneous areal data with the R package arealDB. CoRR abs/1909.06610 (2019) - 2018
- [j11]Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens von Berg, Hauke Schramm, Jan Modersitzki, Carsten Meyer:
Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field. Comput. Vis. Image Underst. 176-177: 45-53 (2018) - [j10]Eric Gabriel, Michael Schleiss, Hauke Schramm, Carsten Meyer:
Analysis of the discriminative generalized Hough transform as a proposal generator for a deep network in automatic pedestrian and car detection. J. Electronic Imaging 27(05): 051228 (2018) - [j9]Fabian Wenzel, Carsten Meyer, Thomas Stehle, Jochen Peters, Susanne Siemonsen, Christian Thaler, Lyubomir Zagorchev:
Rapid fully automatic segmentation of subcortical brain structures by shape-constrained surface adaptation. Medical Image Anal. 46: 146-161 (2018) - [c26]Alexander Oliver Mader, Jens von Berg, Alexander Fabritz, Cristian Lorenz, Carsten Meyer:
Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local Refinement. MICCAI (2) 2018: 562-570 - [c25]Alexander Oliver Mader, Jens von Berg, Cristian Lorenz, Carsten Meyer:
A Novel Approach to Handle Inference in Discrete Markov Networks with Large Label Sets. PGM 2018: 249-259 - [c24]Eric Gabriel, Hauke Schramm, Carsten Meyer:
The Discriminative Generalized Hough Transform as a Proposal Generator for a Deep Network in Automatic Pedestrian Localization. VISIGRAPP (5: VISAPP) 2018: 169-176 - 2017
- [c23]Alexander Oliver Mader, Hauke Schramm, Carsten Meyer:
Efficient Epiphyses Localization Using Regression Tree Ensembles and a Conditional Random Field. Bildverarbeitung für die Medizin 2017: 179-184 - [c22]Eric Gabriel, Hauke Schramm, Carsten Meyer:
Analysis of the Discriminative Generalized Hough Transform for Pedestrian Detection. ICIAP (2) 2017: 104-115 - [c21]Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens von Berg, Hauke Schramm, Jan Modersitzki, Carsten Meyer:
Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field. GRAIL/MFCA/MICGen@MICCAI 2017: 64-75 - 2016
- [c20]Alexander Oliver Mader, Hauke Schramm, Carsten Meyer:
Using web images as additional training resource for the discriminative generalized hough transform. IPTA 2016: 1-6 - [c19]Ferdinand Hahmann, Gordon Böer, Eric Gabriel, Thomas M. Deserno, Carsten Meyer, Hauke Schramm:
Classification of voting patterns to improve the generalized Hough transform for epiphyses localization. Medical Imaging: Computer-Aided Diagnosis 2016: 978509 - [c18]Eric Gabriel, Ferdinand Hahmann, Gordon Böer, Hauke Schramm, Carsten Meyer:
Structured Edge Detection for Improved Object Localization using the Discriminative Generalized Hough Transform. VISIGRAPP (4: VISAPP) 2016: 393-402 - 2015
- [c17]Ferdinand Hahmann, Gordon Böer, Eric Gabriel, Carsten Meyer, Hauke Schramm:
A Shape Consistency Measure for Improving the Generalized Hough Transform - Modified Voting Procedure for Discriminative Generalized Hough Transform based on Random Forest Confidence Measure. VISAPP (2) 2015: 281-288 - 2012
- [c16]Dirk Schäfer, Carsten Meyer, Roland Bullens, Axel Saalbach, Peter Eshuis:
Limited Angle C-Arm Tomography and Segmentation for Guidance of Atrial Fibrillation Ablation Procedures. MICCAI (1) 2012: 634-641 - 2011
- [c15]Lyubomir Zagorchev, Carsten Meyer, Thomas Stehle, Reinhard Kneser, Stewart Young, Jürgen Weese:
Evaluation of Traumatic Brain Injury Patients Using a Shape-Constrained Deformable Model. MBIA 2011: 118-125 - [c14]Carsten Meyer, Jochen Peters, Jürgen Weese:
Fully automatic segmentation of complex organ systems: example of trachea, esophagus and heart segmentation in CT images. Medical Imaging: Image Processing 2011: 796216 - 2010
- [j8]Jochen Peters, Olivier Ecabert, Carsten Meyer, Reinhard Kneser, Jürgen Weese:
Optimizing boundary detection via Simulated Search with applications to multi-modal heart segmentation. Medical Image Anal. 14(1): 70-84 (2010) - [j7]Robert Manzke, Carsten Meyer, Olivier Ecabert, Jochen Peters, Niels J. Noordhoek, Aravinda Thiagalingam, Vivek Y. Reddy, Raymond C. Chan, Jürgen Weese:
Automatic Segmentation of Rotational X-Ray Images for Anatomic Intra-Procedural Surface Generation in Atrial Fibrillation Ablation Procedures. IEEE Trans. Medical Imaging 29(2): 260-272 (2010) - [c13]Jürgen Weese, Jochen Peters, Carsten Meyer, Irina Wächter, Reinhard Kneser, Helko Lehmann, Olivier Ecabert, Hans Barschdorf, Raghed Hanna, Frank M. Weber:
The Generation of Patient-Specific Heart Models for Diagnosis and Interventions. STACOM/CESC 2010: 25-35
2000 – 2009
- 2009
- [c12]Carsten Meyer, Olivier Ecabert, Jochen Peters, Reinhard Kneser, Robert Manzke, Raymond C. Chan, Jürgen Weese:
A multi-modality segmentation framework: application to fully automatic heart segmentation. Medical Imaging: Image Processing 2009: 72594L - 2008
- [c11]Carsten Meyer, Robert Manzke, Jochen Peters, Olivier Ecabert, Reinhard Kneser, Vivek Y. Reddy, Raymond C. Chan, Jürgen Weese:
Automatic Intra-operative Generation of Geometric Left Atrium/Pulmonary Vein Models from Rotational X-Ray Angiography. MICCAI (2) 2008: 61-69 - 2007
- [c10]Jochen Peters, Olivier Ecabert, Carsten Meyer, Hauke Schramm, Reinhard Kneser, Alexandra Groth, Jürgen Weese:
Automatic Whole Heart Segmentation in Static Magnetic Resonance Image Volumes. MICCAI (2) 2007: 402-410 - 2006
- [j6]Hauke Schramm, Xavier L. Aubert, Bart Bakker, Carsten Meyer, Hermann Ney:
Modeling spontaneous speech variability in professional dictation. Speech Commun. 48(5): 493-515 (2006) - [j5]Carsten Meyer, Hauke Schramm:
Boosting HMM acoustic models in large vocabulary speech recognition. Speech Commun. 48(5): 532-548 (2006) - [j4]Carsten Meyer, José Fernández Gavela, Matthew Harris:
Combining Algorithms in Automatic Detection of QRS Complexes in ECG Signals. IEEE Trans. Inf. Technol. Biomed. 10(3): 468-475 (2006) - 2005
- [c9]José Fernández, Matthew Harris, Carsten Meyer:
Combining Algorithms in Automatic Detection of R-peaks in ECG Signals. CBMS 2005: 297-302 - [c8]Bart Bakker, Carsten Meyer, Xavier L. Aubert:
Fast unsupervised speaker adaptation through a discriminative eigen-MLLR algorithm. INTERSPEECH 2005: 257-260 - 2004
- [j3]Björn Voss, Carsten Meyer, Robert Giegerich:
Evaluating the predictability of conformational switching in RNA. Bioinform. 20(10): 1573-1582 (2004) - [j2]Robert Giegerich, Carsten Meyer, Peter Steffen:
A discipline of dynamic programming over sequence data. Sci. Comput. Program. 51(3): 215-263 (2004) - 2002
- [j1]Carsten Meyer, Carl van Vreeswijk:
Temporal Correlations in Stochastic Networks of Spiking Neurons. Neural Comput. 14(2): 369-404 (2002) - [c7]Robert Giegerich, Carsten Meyer:
Algebraic Dynamic Programming. AMAST 2002: 349-364 - [c6]Carsten Meyer:
Utterance-level boosting of HMM speech recognizers. ICASSP 2002: 109-112 - [c5]Carsten Meyer, Peter Beyerlein:
Towards "Large Margin" Speech Recognizers by Boosting and Discriminative Training. ICML 2002: 419-426 - 2001
- [c4]Carsten Meyer, Georg Rose:
Improved noise robustness by corrective and rival training. ICASSP 2001: 293-296 - [c3]Peter Beyerlein, Xavier L. Aubert, Matthew Harris, Carsten Meyer, Hauke Schramm:
Investigations on conversational speech recognition. INTERSPEECH 2001: 499-502 - 2000
- [c2]Reinhard Blasig, Georg Rose, Carsten Meyer:
Training of isolated word recognizers with continuous speech. INTERSPEECH 2000: 449-452 - [c1]Carsten Meyer, Georg Rose:
Rival training: efficient use of data in discriminative training. INTERSPEECH 2000: 632-635
1990 – 1999
- 1997
- [b1]Carsten Meyer:
Zeitliche Korrelationen in stochastischen Netzwerken 'spikender' Neurone. University of Göttingen, 1997, pp. 1-160
Coauthor Index
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last updated on 2024-10-07 22:14 CEST by the dblp team
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