Fatmatülzehra Uslu

Orcid: 0000-0001-7153-7583

According to our database1, Fatmatülzehra Uslu authored at least 11 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
GSM-Net: A global sequence modelling network for the segmentation of short axis CINE MRI images.
Comput. Medical Imaging Graph., September, 2023

TMS-Net: A segmentation network coupled with a run-time quality control method for robust cardiac image segmentation.
Comput. Biol. Medicine, 2023

2022
LA-Net: A Multi-Task Deep Network for the Segmentation of the Left Atrium.
IEEE Trans. Medical Imaging, 2022

Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
SA-Net: A Sequence Aware Network for the Segmentation of the Left Atrium in Cine MRI Datasets.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
PERI-Net: a parameter efficient residual inception network for medical image segmentation.
Turkish J. Electr. Eng. Comput. Sci., 2020

A Semi-Automatic Method To Segment The Left Atrium in MR Volumes With Varying Slice Numbers.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
A recursive Bayesian approach to describe retinal vasculature geometry.
Pattern Recognit., 2019

An Inception Inspired Deep Network to Analyse Fundus Images.
CoRR, 2019

Deep Reinforcement Learning for Subpixel Neural Tracking.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018
A Multi-task Network to Detect Junctions in Retinal Vasculature.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018


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