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)
D. Das, E. Coello, A. Sekuboyina, R. Schulte, B. Menze
Direct Estimation of Model Parameters in MR Spectroscopic Imaging using Deep Neural Networks
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), Paris, France, June 2018. (bib)


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