SelenAtasoy

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

THIS WEBPAGE IS DEPRECATED - please visit our new website

Selen Atasoy

selen.jpg Dr. Selen Atasoy

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching München
Germany

My status

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

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.

UsersForm
Title: Dr.
Circumference of your head (in cm):  
Firstname: Selen
Middlename:  
Lastname: Atasoy
Picture: selen_small.jpg
Birthday:  
Nationality: Cosmopolitan
Languages:  
Groups: Medical Imaging
Expertise:  
Position: Scientific Staff
Status: Alumni
Emailbefore: atasoy
Emailafter: in.tum.de
Room: MI 03.13.044
Telephone: +49 89 289 19412
Alumniactivity: Postdoc at University of New South Wales
Defensedate: 22 June 2012
Thesistitle: Endoscopic Video Manifolds for Scene Recognition in Targeted Optical Biopsy
Alumnihomepage: http://www.psy.unsw.edu.au/profiles/research/satasoy.html
Personalvideo01:  
Personalvideotext01:  
Personalvideopreview01:  
Personalvideo02:  
Personalvideotext02:  
Personalvideopreview02:  


Edit | Attach | Refresh | Diffs | More | Revision r1.42 - 15 Mar 2015 - 09:45 - SebastianPoelsterl

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif