Oleh Dzyubachyk

Orcid: 0000-0003-1344-7189

According to our database1, Oleh Dzyubachyk authored at least 25 papers between 2007 and 2023.

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

Timeline

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PhD thesis 
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Bibliography

2023
Reducing Manual Annotation Costs for Cell Segmentation by Upgrading Low-Quality Annotations.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2022
The Infrared Thermography Toolbox: An Open-access Semi-automated Segmentation Tool for Extracting Skin Temperatures in the Thoracic Region including Supraclavicular Brown Adipose Tissue.
J. Medical Syst., 2022

An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021
On the ability to exploit signal fluctuations in pseudocontinuous arterial spin labeling for inferring the major flow territories from a traditional perfusion scan.
NeuroImage, 2021

Intensity Correction and Standardization for Electron Microscopy Data.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2019
Hierarchical stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries.
CoRR, 2019

Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

2017
Fully-automatic left ventricular segmentation from long-axis cardiac cine MR scans.
Medical Image Anal., 2017

MRI Mouse Brain Data of Ischemic Lesion after Transient Middle Cerebral Artery Occlusion.
Frontiers Neuroinformatics, 2017

Automated Ischemic Lesion Segmentation in MRI Mouse Brain Data after Transient Middle Cerebral Artery Occlusion.
Frontiers Neuroinformatics, 2017

Computer-aided evaluation of inflammatory changes over time on MRI of the spine in patients with suspected axial spondyloarthritis: a feasibility study.
BMC Medical Imaging, 2017

2016
Automated Cardiovascular Segmentation in Patients with Congenital Heart Disease from 3D CMR Scans: Combining Multi-atlases and Level-Sets.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016

2015
Automated extraction and labelling of the arterial tree from whole-body MRA data.
Medical Image Anal., 2015

2014
A benchmark for comparison of cell tracking algorithms.
Bioinform., 2014

2013
Comparative exploration of whole-body MR through locally rigid transforms.
Int. J. Comput. Assist. Radiol. Surg., 2013

Improved Myocardial Scar Characterization by Super-Resolution Reconstruction in Late Gadolinium Enhanced MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Joint Intensity Inhomogeneity Correction for Whole-Body MR Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Super-resolution reconstruction of whole-body MRI mouse data: An interactive approach.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Automated lineage tree reconstruction from Caenorhabditis elegans image data using particle filtering based cell tracking.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Correction to "Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy".
IEEE Trans. Medical Imaging, 2010

Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy.
IEEE Trans. Medical Imaging, 2010

Automated analysis of time-lapse fluorescence microscopy images: from live cell images to intracellular foci.
Bioinform., 2010

2009
Energy Minimization Methods for Cell Motion Correction and Intracellular Analysis in Live-Cell Fluorescence Microscopy.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Advanced level-set based multiple-cell segmentation and tracking in time-lapse fluorescence microscopy images.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
A Variational Model for Level-set Based Cell Tracking in Time-lapse Fluorescence Microscopy Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007


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