Using combined decisions and confidence measures for name recognition in automatic directory assistance systems. - Andreas Kellner; Bernhard Rueber; Hauke Schramm (ICSLP, 1998)

Efficient integration of multiple pronunciations in a large vocabulary decoder. - Hauke Schramm; Xavier L. Aubert (ICASSP, 2000)

Strategies for name recognition in automatic directory assistance systems. - Hauke Schramm; Bernhard Rueber; Andreas Kellner (Speech Commun., 2000)

The thoughtful elephant: strategies for spoken dialog systems. - Bernd Souvignier; Andreas Kellner; Bernhard Rueber; Hauke Schramm; Frank Seide (IEEE Trans. Speech Audio Process., 2000)

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

Towards discriminative lexicon optimization. - Hauke Schramm; Peter Beyerlein (INTERSPEECH, 2001)

Toward fully automatic object detection and segmentation. - Hauke Schramm; Olivier Ecabert; Jochen Peters; Vasanth Philomin; Jürgen Weese (Image Processing, 2006)

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)

Modeling spontaneous speech variability for large vocabulary continuous speech recognition. - Hauke Schramm (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)

Discriminative boundary detection for model-based heart segmentation in CT images. - Jochen Peters; Olivier Ecabert; Hauke Schramm; Jürgen Weese (Image Processing, 2007)

Automatic Model-Based Segmentation of the Heart in CT Images. - 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 (IEEE Trans. Medical Imaging, 2008)

Fully Automatic Model Creation for Object Localization utilizing the Generalized Hough Transform. - Heike Ruppertshofen; Cristian Lorenz; Peter Beyerlein; Zein Salah; Georg Rose; Hauke Schramm (Bildverarbeitung für die Medizin, 2010)

Lokalisierung der Leber mittels einer Diskriminativen Generalisierten Hough Transformation. - Heike Ruppertshofen; Cristian Lorenz; Sarah Strunk; Peter Beyerlein; Zein Salah; Georg Rose; Hauke Schramm (CURAC, 2010)

Iterative Training of Discriminative Models for the Generalized Hough Transform. - Heike Ruppertshofen; Cristian Lorenz; Sarah Schmidt; Peter Beyerlein; Zein Salah; Georg Rose; Hauke Schramm (MCV, 2010)

Bone Age Classification Using the Discriminative Generalized Hough Transform. - Markus Brunk; Heike Ruppertshofen; Sarah Schmidt; Peter Beyerlein; Hauke Schramm (Bildverarbeitung für die Medizin, 2011)

Multi-Level Approach for the Discriminative Generalized Hough Transform. - Heike Ruppertshofen; Daniel Künne; Cristian Lorenz; Sarah Schmidt; Peter Beyerlein; Zein Salah; Georg H. Rose; Hauke Schramm (CURAC, 2011)

Shape model training for concurrent localization of the left and right knee. - Heike Ruppertshofen; Cristian Lorenz; Sarah Schmidt; Peter Beyerlein; Zein Salah; Georg Rose; Hauke Schramm (Image Processing, 2011)

Discriminative Generalized Hough transform for localization of joints in the lower extremities. - Heike Ruppertshofen; Cristian Lorenz; Sarah Schmidt; Peter Beyerlein; Zein Salah; Georg Rose; Hauke Schramm (Comput. Sci. Res. Dev., 2011)

Femur Localization Using the Discriminative Generalized Hough Transform. - Francesco Boero; Heike Ruppertshofen; Hauke Schramm (Bildverarbeitung für die Medizin, 2012)

Support Vector Machine Classification using Correlation Prototypes for Bone Age Assessment. - Markus Harmsen; Benedikt Fischer; Hauke Schramm; Thomas Martin Deserno (Bildverarbeitung für die Medizin, 2012)

Model interpolation for eye localization using the Discriminative Generalized Hough Transform. - Ferdinand Hahmann; Heike Ruppertshofen; Gordon Böer; Hauke Schramm (BIOSIG, 2012)

Eye Localization Using the Discriminative Generalized Hough Transform. - Ferdinand Hahmann; Heike Ruppertshofen; Gordon Böer; Ralf Stannarius; Hauke Schramm (DAGM/OAGM Symposium, 2012)

A multi-dimensional model for localization of highly variable objects. - Heike Ruppertshofen; Thomas Bülow; Jens von Berg; Sarah Schmidt; Peter Beyerlein; Zein Salah; Georg Rose; Hauke Schramm (Image Processing, 2012)

Combination of Facial Landmarks for Robust Eye Localization Using the Discriminative Generalized Hough Transform. - Ferdinand Hahmann; Gordon Böer; Hauke Schramm (BIOSIG, 2013)

Bone Age Assessment Using the Classifying Generalized Hough Transform. - Ferdinand Hahmann; Inga Berger; Heike Ruppertshofen; Thomas Martin Deserno; Hauke Schramm (GCPR, 2013)

Bone age assessment using support vector regression with smart class mapping. - Daniel Haak; Jing Yu; Hendrik Simon; Hauke Schramm; Thomas Seidl 001; Thomas M. Deserno (Computer-Aided Diagnosis, 2013)

Discriminative generalized Hough transform for object localization in medical images. - Heike Ruppertshofen; Cristian Lorenz; Georg Rose; Hauke Schramm (Int. J. Comput. Assist. Radiol. Surg., 2013)

Support Vector Machine Classification Based on Correlation Prototypes Applied to Bone Age Assessment. - Markus Harmsen; Benedikt Fischer; Hauke Schramm; Thomas Seidl 001; Thomas Martin Deserno (IEEE J. Biomed. Health Informatics, 2013)

Epiphyses Localization for Bone Age Assessment Using the Discriminative Generalized Hough Transform. - Ferdinand Hahmann; Gordon Böer; Thomas Martin Deserno; Hauke Schramm (Bildverarbeitung für die Medizin, 2014)

Detection of Facial Landmarks in 3D Face Scans Using the Discriminative Generalized Hough Transform (DGHT). - Gordon Böer; Ferdinand Hahmann; Ines Buhr; Harald Essig; Hauke Schramm (Bildverarbeitung für die Medizin, 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. - 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)

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)

Segmentation of Fish in Realistic Underwater Scenes using Lightweight Deep Learning Models. - Gordon Böer; Rajesh Veeramalli; Hauke Schramm (ROBOVIS, 2021)

A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video. - Gordon Böer; Joachim Paul Gröger; Sabah Badri-Höher; Boris Cisewski; Helge Renkewitz; Felix Mittermayer; Tobias Strickmann; Hauke Schramm (Sensors, 2023)