Sven Haase

Jens Wetzl, Oliver Taubmann, Sven Haase, Thomas Köhler, Martin Kraus, Joachim Hornegger: GPU-Accelerated Time-of-Flight Super-Resolution for Image-Guided Surgery. Bildverarbeitung für die Medizin 2013: 21-26

Sven Haase, Jakob Wasza, Thomas Kilgus, Joachim Hornegger: Laparoscopic instrument localization using a 3-D Time-of-Flight/RGB endoscope. WACV 2013: 449-454

Kerstin Bunte, Sven Haase, Michael Biehl, Thomas Villmann: Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences. Neurocomputing 90: 23-45 (2012)

Anja Groch, Sven Haase, M. Wagner, Thomas Kilgus, Hannes Kenngott, Heinz-Peter Schlemmer, Joachim Hornegger, Hans-Peter Meinzer, Lena Maier-Hein: Optimierte endoskopische Time-of-Flight Oberflächenrekonstruktion durch Integration eines Struktur-durch-Bewegung-Ansatzes. Bildverarbeitung für die Medizin 2012: 39-44

Sven Haase, Christoph Forman, Thomas Kilgus, Roland Bammer, Lena Maier-Hein, Joachim Hornegger: ToF/RGB Sensor Fusion for Augmented 3D Endoscopy using a Fully Automatic Calibration Scheme. Bildverarbeitung für die Medizin 2012: 111-116

Jakob Wasza, Sebastian Bauer, Sven Haase, Joachim Hornegger: Sparse Principal Axes Statistical Surface Deformation Models for Respiration Analysis and Classification. Bildverarbeitung für die Medizin 2012: 316-321

Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Jennifer R. Aduwo, John A. Quinn, Sven Haase, Thomas Villmann, Michael Biehl: Divergence-based classification in learning vector quantization. Neurocomputing 74(9): 1429-1435 (2011)

Thomas Villmann, Sven Haase: Divergence-Based Vector Quantization. Neural Computation 23(5): 1343-1392 (2011)

Kerstin Bunte, Frank-Michael Schleif, Sven Haase, Thomas Villmann: Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization. ESANN 2011

Sebastian Bauer, Jakob Wasza, Sven Haase, Natalia Marosi, Joachim Hornegger: Multi-modal surface registration for markerless initial patient setup in radiation therapy using microsoft's Kinect sensor. ICCV Workshops 2011: 1175-1181

Thomas Villmann, Sven Haase: Magnification in divergence based neural maps. IJCNN 2011: 437-441

Jakob Wasza, Sebastian Bauer, Sven Haase, Moritz Schmid, Sebastian Reichert, Joachim Hornegger: RITK: The Range Imaging Toolkit - A Framework for 3-D Range Image Stream Processing. VMV 2011: 57-64

Marika Kästner, Andreas Backhaus, Tina Geweniger, Sven Haase, Udo Seiffert, Thomas Villmann: Relevance Learning in Unsupervised Vector Quantization Based on Divergences. WSOM 2011: 90-100

Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer, Michael Biehl: The Mathematics of Divergence Based Online Learning in Vector Quantization. ANNPR 2010: 108-119

Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Sven Haase, Thomas Villmann, Michael Biehl: Divergence based Learning Vector Quantization. ESANN 2010

Dietlind Zühlke, Frank-Michael Schleif, Tina Geweniger, Sven Haase, Thomas Villmann: Learning vector quantization for heterogeneous structured data. ESANN 2010

Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer: Divergence Based Online Learning in Vector Quantization. ICAISC (1) 2010: 479-486