Fatmatülzehra Uslu

According to our database, Fatmatülzehra Uslu authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A robust quality estimation method for medical image segmentation with small datasets.

Fatmatülzehra Uslu, Marta Varela

Biomed. Signal Process. Control., 2024

2023

GSM-Net: A global sequence modelling network for the segmentation of short axis CINE MRI images.

Fatmatülzehra Uslu

Comput. Medical Imaging Graph., September, 2023

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

Fatmatülzehra Uslu, Anil A. Bharath

Comput. Biol. Medicine, 2023

2022

LA-Net: A Multi-Task Deep Network for the Segmentation of the Left Atrium.

Fatmatülzehra Uslu, Marta Varela, Georgia Boniface, Thakshayene Mahenthran, Henry Chubb, Anil A. Bharath

IEEE Trans. Medical Imaging, 2022

Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View.

Kavitha Vimalesvaran, Fatmatülzehra Uslu, Sameer Zaman, Christoforos Galazis, James Howard, Graham Cole, Anil A. Bharath

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.

Fatmatülzehra Uslu, Marta Varela

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

PERI-Net: a parameter efficient residual inception network for medical image segmentation.

Fatmatülzehra Uslu, Cher Bass, Anil A. Bharath

Turkish J. Electr. Eng. Comput. Sci., 2020

A Semi-Automatic Method To Segment The Left Atrium in MR Volumes With Varying Slice Numbers.

Fatmatülzehra Uslu, Marta Varela, Anil A. Bharath

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.

Fatmatülzehra Uslu, Anil Anthony Bharath

Pattern Recognit., 2019

An Inception Inspired Deep Network to Analyse Fundus Images.

Fatmatülzehra Uslu

CoRR, 2019

Deep Reinforcement Learning for Subpixel Neural Tracking.

Tianhong Dai, Magda Dubois, Kai Arulkumaran, Jonathan Campbell, Cher Bass, Benjamin Billot, Fatmatülzehra Uslu, Vincenzo De Paola, Claudia Clopath, Anil Anthony Bharath

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018

A Multi-task Network to Detect Junctions in Retinal Vasculature.

Fatmatülzehra Uslu, Anil Anthony Bharath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018