Anjany Sekuboyina

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

2021
	S. Shit, J. Paetzold, I. Ezhov, A. Sekuboyina, B. Menze clDice - a Novel Connectivity-Preserving Loss Function for Vessel Segmentation IEEE Conference on Computer Vision and Pattern Recognition, Nashville, Tennessee, United States, June 2021. Shit and Paetzold share first authorship. (bib)
2019
	A. Sekuboyina, M. Rempfler, A. Valentinitsch, M. Loeffler, J. Kirschke, B. Menze Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis Proceedings of the 22th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Shenzen, China, October 2019. (bib)
	H. Li, J. Paetzold, A. Sekuboyina, F. Kofler, Jianguo Zhang, J. Kirschke, B. Wiestler, B. Menze DiamondGan: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis Proceedings of the 22th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Shenzhen, China, October 2019. (bib)
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)