Serkan Çimen

According to our database1, Serkan Çimen authored at least 11 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-supervised Features.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2019
Training Deep Networks on Domain Randomized Synthetic X-ray Data for Cardiac Interventions.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics, 2018

Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models.
Medical Image Anal., 2018

2017
CoronARe: A Coronary Artery Reconstruction Challenge.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

2016
Reconstruction of coronary arteries from X-ray angiography: A review.
Medical Image Anal., 2016

Reconstruction of coronary artery centrelines from X-ray rotational angiography using a probabilistic mixture model.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

A Multi-resolution T-Mixture Model Approach to Robust Group-Wise Alignment of Shapes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student's t-Distributions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

2014
Reconstruction of Coronary Trees from 3DRA Using a 3D+t Statistical Cardiac Prior.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014


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