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ORCIDHauke Schramm
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2020 – today
- 2023
[j11]Gordon Böer
, Joachim Paul Gröger, Sabah Badri-Höher, Boris Cisewski, Helge Renkewitz, Felix Mittermayer, Tobias Strickmann, Hauke Schramm:
A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video. Sensors 23(6): 3311 (2023)- 2021
- [c32]Gordon Böer, Rajesh Veeramalli, Hauke Schramm:
Segmentation of Fish in Realistic Underwater Scenes using Lightweight Deep Learning Models. ROBOVIS 2021: 158-164
2010 – 2019
- 2018
- [j10]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) - [j9]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) - [c31]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
- [c30]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 - [c29]Eric Gabriel, Hauke Schramm, Carsten Meyer:
Analysis of the Discriminative Generalized Hough Transform for Pedestrian Detection. ICIAP (2) 2017: 104-115 - [c28]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
- [c27]Alexander Oliver Mader, Hauke Schramm, Carsten Meyer:
Using web images as additional training resource for the discriminative generalized hough transform. IPTA 2016: 1-6 - [c26]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 - [c25]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
- [c24]Gordon Böer, Ferdinand Hahmann, Ines Buhr, Harald Essig, Hauke Schramm:
Detection of Facial Landmarks in 3D Face Scans Using the Discriminative Generalized Hough Transform (DGHT). Bildverarbeitung für die Medizin 2015: 299-304 - [c23]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 - 2014
- [c22]Ferdinand Hahmann, Gordon Böer, Thomas Martin Deserno, Hauke Schramm:
Epiphyses Localization for Bone Age Assessment Using the Discriminative Generalized Hough Transform. Bildverarbeitung für die Medizin 2014: 66-71 - 2013
- [j8]Heike Ruppertshofen, Cristian Lorenz, Georg Rose, Hauke Schramm:
Discriminative generalized Hough transform for object localization in medical images. Int. J. Comput. Assist. Radiol. Surg. 8(4): 593-606 (2013) - [j7]Markus Harmsen, Benedikt Fischer, Hauke Schramm, Thomas Seidl, Thomas Martin Deserno:
Support Vector Machine Classification Based on Correlation Prototypes Applied to Bone Age Assessment. IEEE J. Biomed. Health Informatics 17(1): 190-197 (2013) - [c21]Ferdinand Hahmann, Gordon Böer, Hauke Schramm:
Combination of Facial Landmarks for Robust Eye Localization Using the Discriminative Generalized Hough Transform. BIOSIG 2013: 27-38 - [c20]Ferdinand Hahmann, Inga Berger, Heike Ruppertshofen, Thomas Martin Deserno, Hauke Schramm:
Bone Age Assessment Using the Classifying Generalized Hough Transform. GCPR 2013: 313-322 - [c19]Daniel Haak, Jing Yu, Hendrik Simon, Hauke Schramm, Thomas Seidl, Thomas M. Deserno:
Bone age assessment using support vector regression with smart class mapping. Medical Imaging: Computer-Aided Diagnosis 2013: 86700A - 2012
- [c18]Francesco Boero, Heike Ruppertshofen, Hauke Schramm:
Femur Localization Using the Discriminative Generalized Hough Transform. Bildverarbeitung für die Medizin 2012: 298-303 - [c17]Markus Harmsen, Benedikt Fischer, Hauke Schramm, Thomas Martin Deserno:
Support Vector Machine Classification using Correlation Prototypes for Bone Age Assessment. Bildverarbeitung für die Medizin 2012: 434-439 - [c16]Ferdinand Hahmann, Heike Ruppertshofen, Gordon Böer, Hauke Schramm:
Model interpolation for eye localization using the Discriminative Generalized Hough Transform. BIOSIG 2012: 1-12 - [c15]Ferdinand Hahmann, Heike Ruppertshofen, Gordon Böer, Ralf Stannarius, Hauke Schramm:
Eye Localization Using the Discriminative Generalized Hough Transform. DAGM/OAGM Symposium 2012: 155-164 - [c14]Heike Ruppertshofen, Thomas Bülow, Jens von Berg, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
A multi-dimensional model for localization of highly variable objects. Medical Imaging: Image Processing 2012: 83142L - 2011
- [j6]Heike Ruppertshofen, Cristian Lorenz, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
Discriminative Generalized Hough transform for localization of joints in the lower extremities. Comput. Sci. Res. Dev. 26(1-2): 97-105 (2011) - [c13]Markus Brunk, Heike Ruppertshofen, Sarah Schmidt, Peter Beyerlein, Hauke Schramm:
Bone Age Classification Using the Discriminative Generalized Hough Transform. Bildverarbeitung für die Medizin 2011: 284-288 - [c12]Heike Ruppertshofen, Daniel Künne, Cristian Lorenz, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg H. Rose, Hauke Schramm:
Multi-Level Approach for the Discriminative Generalized Hough Transform. CURAC 2011: 67-70 - [c11]Heike Ruppertshofen, Cristian Lorenz, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
Shape model training for concurrent localization of the left and right knee. Medical Imaging: Image Processing 2011: 796241 - 2010
- [c10]Heike Ruppertshofen, Cristian Lorenz, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
Fully Automatic Model Creation for Object Localization utilizing the Generalized Hough Transform. Bildverarbeitung für die Medizin 2010: 281-285 - [c9]Heike Ruppertshofen, Cristian Lorenz, Sarah Strunk, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
Lokalisierung der Leber mittels einer Diskriminativen Generalisierten Hough Transformation. CURAC 2010: 183-188 - [c8]Heike Ruppertshofen, Cristian Lorenz, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
Iterative Training of Discriminative Models for the Generalized Hough Transform. MCV 2010: 21-30
2000 – 2009
- 2008
- [j5]Olivier Ecabert, Jochen Peters, Hauke Schramm, Cristian Lorenz, Jens von Berg, Matthew J. Walker, Mani Vembar, Mark E. Olszewski, Krishna Subramanyan, Guy Lavi, Jürgen Weese:
Automatic Model-Based Segmentation of the Heart in CT Images. IEEE Trans. Medical Imaging 27(9): 1189-1201 (2008) - 2007
- [c7]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 - [c6]Jochen Peters, Olivier Ecabert, Hauke Schramm, Jürgen Weese:
Discriminative boundary detection for model-based heart segmentation in CT images. Medical Imaging: Image Processing 2007: 65120H - 2006
- [b1]Hauke Schramm:
Modeling spontaneous speech variability for large vocabulary continuous speech recognition. RWTH Aachen University, Germany, 2006, pp. 1-135 - [j4]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) - [j3]Carsten Meyer, Hauke Schramm:
Boosting HMM acoustic models in large vocabulary speech recognition. Speech Commun. 48(5): 532-548 (2006) - [c5]Hauke Schramm, Olivier Ecabert, Jochen Peters, Vasanth Philomin, Jürgen Weese:
Toward fully automatic object detection and segmentation. Medical Imaging: Image Processing 2006: 614402 - 2001
- [c4]Peter Beyerlein, Xavier L. Aubert, Matthew Harris, Carsten Meyer, Hauke Schramm:
Investigations on conversational speech recognition. INTERSPEECH 2001: 499-502 - [c3]Hauke Schramm, Peter Beyerlein:
Towards discriminative lexicon optimization. INTERSPEECH 2001: 1457-1460 - 2000
- [j2]Hauke Schramm, Bernhard Rueber, Andreas Kellner:
Strategies for name recognition in automatic directory assistance systems. Speech Commun. 31(4): 329-338 (2000) - [j1]Bernd Souvignier, Andreas Kellner, Bernhard Rueber, Hauke Schramm, Frank Seide:
The thoughtful elephant: strategies for spoken dialog systems. IEEE Trans. Speech Audio Process. 8(1): 51-62 (2000) - [c2]Hauke Schramm, Xavier L. Aubert:
Efficient integration of multiple pronunciations in a large vocabulary decoder. ICASSP 2000: 1659-1662
1990 – 1999
- 1998
- [c1]Andreas Kellner, Bernhard Rueber, Hauke Schramm:
Using combined decisions and confidence measures for name recognition in automatic directory assistance systems. ICSLP 1998
Coauthor Index
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