Selen Atasoy

Dr. Selen Atasoy Chair for Computer Aided Medical Procedures & Augmented Reality Fakultät für Informatik Technische Universität München Boltzmannstr. 3 85748 Garching München Germany E-mail: Room: MI 03.13.057

Research

I did my Ph.D jointly at CAMP, TU München, and at Hamlyn Centre, Imperial College London, under supervision of Prof. Nassir Navab and Prof. Guang-Zhong Yang. My Ph.D project is partially funded by Graduate School of Information Science in Health.
I have now moved to Pearson Lab at UNSW...

• Fields of Interest
  • Manifold learning
  • Spectral Clustering
  • Scene Recognition
  • Human vision & perception

Publications

2012
	D. Mateus, C. Wachinger, S. Atasoy, L. Schwarz, N. Navab Learning Manifolds: Design Analysis for Medical Applications 2012. Kenji Suzuki (Ed.), "Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis", pp. 403-418. IGI Global, doi:10.4018/978-1-4666-0059-1. (bib)
	S. Atasoy, D. Mateus, A. Meining, G. Z. Yang, N. Navab Endoscopic Video Manifolds for Targeted Optical Biopsy IEEE Transactions on Medical Imaging. (bib)
2011
	S. Atasoy, D. Mateus, A. Meining, G. Z. Yang, N. Navab Targeted Optical Biopsies for Surveillance Endoscopies Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, September 20-24 2011. (bib)
2010
	S. Atasoy, D. Mateus, J. Lallemand, A. Meining, G. Z. Yang, N. Navab Endoscopic Video Manifolds Medical Image Computing and Computer Assisted Intervention (MICCAI), Beijing, China, September 20-24 2010. (bib)
	S. Atasoy, D. Mateus, A. Georgiou, N. Navab, G. Z. Yang Wave Interference for Pattern Description Asian Conference on Computer Vision (ACCV), Queenstown, New Zealand, November 8-12 2010. (bib)
	A. Meining, S. Atasoy, A. J. Chung, N. Navab, G. Z. Yang “Eye-tracking” for assessment of image perception in gastrointestinal endoscopy with narrow-band imaging compared with white-light endoscopy Endoscopy Journal, 2010. (bib)
2009
	S. Atasoy, B. Glocker, S. Giannarou, D. Mateus, A. Meining, G. Z. Yang, N. Navab Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy Medical Image Computing and Computer Assisted Intervention (MICCAI), London, UK, September 20-24 2009. (bib)
	A. Meining, S. Atasoy, N. Navab, A. J. Chung, G. Z. Yang NARROW BAND IMAGING DOES NOT ACCELERATE DETECTION OF GASTROINTESTINAL LESIONS? A STUDY USING "EYE-TRACKING" IN NON-ENDOSCOPIC EXPERTS GASTRO, London, UK, November 21-25 2009. (bib)
	V. Castaneda, S. Atasoy, D. Mateus, N. Navab, A. Meining Reconstructing the Esophagus Surface from Endoscopic Image Sequences 5th Russian-Bavarian Conference on Bio-Medical Engineering, Munich, Germany, July 1-4 2009. (bib)
2008
	S. Atasoy, D. Noonan, S. Benhimane, N. Navab, G. Z. Yang A Global Approach for Automatic Fibroscopic Video Mosaicing in Minimally Invasive Diagnosis Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2008, New York, USA, September 6-10 2008 (bib)
	S. Atasoy, M. Groher, D. Zikic, B. Glocker, T. Waggershauser, M. Pfister, N. Navab Real-Time Respiratory Motion Tracking: Roadmap Correction for Hepatic Artery Catheterizations SPIE Medical Imaging, San Diego, California, USA, 16-21 February 2008 (bib)

Ph.D. thesis

Endoscopic Video Manifolds for Scene Recognition in Targeted Optical Biopsy, 2012.

Projects

Endoscopic Video Processing The diagnosis and surveillance of several gastrointestinal (GI) diseases such as colateral or oesaphageal cancer are performed under endoscopic guidance. However, currently there exists no computer aided navigation tool to support these procedures. The goal of this project is to provide an advanced visualisation and automatic recognition tool in order to support the navigation and targeting in GI endoscopic procedures. The aim of the project is twofold: reconstructing the organ surface from endoscopic videos using monoSLAM and automatically recognising the biopsy locations to support the navigation and targeting in endoscopy.