AbhijitGuhaRoy

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

Abhijit Guha Roy

Abhijit Guha Roy
Masters Student

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching b. München
Room: MI 03.13.036

Phone: +49 89 289
Fax: +49 89 289 17059

E-Mail:
Skype ID: abhi4ssj

Education

  • Bachelor of Engineering - with honours (2012) in Electrical Engineering, Jadavpur University, Kolkata, INDIA
  • Masters of Technology - ongoing (2013-15) in Instrumentation and Signal Processing, Indian Institute of Technology, Kharagpur, INDIA

Awards

  • DAAD Fellow (IIT Masters Sandwich Program) 2014-2015.

Active Research Projects

  • Deep Learning methods for Tissue Characterization of Speckled Medical Images

Research Interests

  • Computational Medical Imaging
  • Multidimensional Signal Processing
  • Machine Learning

Professional Associations and Memberships

  • IEEE: Engineering in Medicine and Biology Society
  • IEEE Student Member

Publications

A. Guha Roy, S. Conjeti, S. Carlier, P. K. Dutta, A. Kastrati, A. Laine, N. Navab, A. Katouzian, D. Sheet Lumen Segmentation in Intravascular Optical Coherence Tomography using Backscattering Tracked and Initialized Random Walks IEEE Journal of Biomedical and Health Informatics, 2015 (Accepted)

A. Guha Roy, S. Conjeti, S. Carlier, A. Konig, A. Kastrati, P. K. Dutta, A. Laine, N. Navab, D. Sheet, A. Katouzian Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment Proceedings of International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA, April 2015


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Title: Master
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Firstname: Abhijit
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Lastname: Guha Roy
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Birthday: 11.12.1989
Nationality: India
Languages: English, German
Groups: Segmentation, Medical Imaging, Machine Learning for Medical Applications
Expertise: Medical Imaging
Position: Master Thesis
Status: Active
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Thesistitle: Learning of Speckle Statistics in Intravascular Optical Coherence Tomography
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