Hauke Schramm - Concepedia

Author

Hauke Schramm

Philips (Germany)ORCID

Also Known As

Hauke Schramm

Publications

334

Citations

H-Index

Concepts

All Affiliations

Philips (Germany)Fachhochschule Kiel Christian-Albrechts-Universität zu Kiel Philips (Finland)Otto-von-Guericke University Magdeburg

About

Hauke Schramm is an author at Philips (Germany) specializing in engineering, image analysis, and pattern recognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	156
2	Health Sciences	3	3	49
3	Language Studies	1	1	22
4	Natural Sciences	1	1	21
5	Public Health	1	1	70

Hauke Schramm

Publications

198

Citations

H-Index

Page 1

	Year	Citations
Automatic Whole Heart Segmentation in Static Magnetic Resonance Image Volumes Olivier Ecabert, Carsten Meyer, Hauke Schramm, Lecture notes in computer science Image AnalysisEngineeringMedical ImagingDiagnostic ImagingPattern Recognition	2007	70
Boosting HMM acoustic models in large vocabulary speech recognition Carsten Meyer, Hauke Schramm Speech Communication Machine LearningHealth SciencesHmm Acoustic ModelsRobust Speech RecognitionSpeech Processing	2005	22
Towards fully automatic object detection and segmentation Hauke Schramm, Olivier Ecabert, V. Philomin, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Scene AnalysisEngineeringMachine LearningShape AnalysisComputer-aided Design	2006	21
Discriminative Generalized Hough transform for localization of joints in the lower extremities Heike Ruppertshofen, Sarah J. Schmidt, Peter Beyerlein, Computer Science - Research and Development Machine VisionImage AnalysisLower ExtremitiesEngineeringPattern Recognition	2010	19
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, Sensors EngineeringDeep-learning Based PipelineOceanographyUnderwater ImagingOcean Monitoring	2023	19
Discriminative generalized Hough transform for object localization in medical images Heike Ruppertshofen, Cristian Lorenz, Georg Rose, International Journal of Computer Assisted Radiology and Surgery Image AnalysisMachine VisionMedical ImagingFeature DetectionPattern Recognition	2013	15
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, Computer Vision and Image Understanding Point LandmarksEngineeringFeature DetectionConditional Random FieldLocalization	2018	12
Multi-Level Approach for the Discriminative Generalized Hough Transform Heike Ruppertshofen, Daniel Künne, Cristian Lorenz,	2011	10
Segmentation of Fish in Realistic Underwater Scenes using Lightweight Deep Learning Models Gordon Böer, Rajesh Veeramalli, Hauke Schramm	2021	10

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