AnjanySekuboyina

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

Anjany Sekuboyina

Research Group: Image-Based Biomedical Modeling Group (IBBM)
Position: Ph.D. candidate
Advisor: Prof. Bjoern Menze


Fakultät für Informatik
Technische Universität München

Neuroradiologie, Neuro-Kopf-Zentrum
Klinikum rects der Isar



E-mail: firstname.lastname@tum.de

Research Interests

  • Multi-modal Spine Image Analysis : Automated diagnostic and prognostic analysis of spine CT and MR images.
  • Biomedical Computer Vision & Deep Learning : Detection, localisation, and segmentation of anatomical regions/objects of interest.

Student Projects

Feel free to contact me for available projects in cutting-edge research areas.

  • Web UI development for spine analysis to be deployed in real-time diagnosis. (Technologies: Django, Javascript, Python) -Filled-
  • Improving existing deep networks for spine localisation and segmentation. (Pref. Tensorflow) -Immediate-
  • Cyclic CT to MR image synthesis.
  • Spectral shape analysis in biomedical image processing. (Geometric deep learning)

Publications

2018
A. Sekuboyina, M. Rempfler, J. Kukacka, G. Tetteh, A. Valentinitsch, J. Kirschke, B. Menze
Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior
Proceedings of the 21th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018. (bib)


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