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Fatmatülzehra Uslu
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2020 – today
- 2024
- [j6]Fatmatülzehra Uslu, Marta Varela:
A robust quality estimation method for medical image segmentation with small datasets. Biomed. Signal Process. Control. 95: 106300 (2024) - 2023
- [j5]Fatmatülzehra Uslu, Anil A. Bharath:
TMS-Net: A segmentation network coupled with a run-time quality control method for robust cardiac image segmentation. Comput. Biol. Medicine 152: 106422 (2023) - [j4]Fatmatülzehra Uslu:
GSM-Net: A global sequence modelling network for the segmentation of short axis CINE MRI images. Comput. Medical Imaging Graph. 108: 102266 (2023) - 2022
- [j3]Fatmatülzehra Uslu, Marta Varela, Georgia Boniface, Thakshayene Mahenthran, Henry Chubb, Anil A. Bharath:
LA-Net: A Multi-Task Deep Network for the Segmentation of the Left Atrium. IEEE Trans. Medical Imaging 41(2): 456-464 (2022) - [c5]Kavitha Vimalesvaran, Fatmatülzehra Uslu, Sameer Zaman, Christoforos Galazis, James Howard, Graham Cole, Anil A. Bharath:
Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View. MICCAI (1) 2022: 571-580 - [i3]Fatmatülzehra Uslu, Anil A. Bharath:
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation. CoRR abs/2212.10877 (2022) - 2021
- [c4]Fatmatülzehra Uslu, Marta Varela:
SA-Net: A Sequence Aware Network for the Segmentation of the Left Atrium in Cine MRI Datasets. ISBI 2021: 766-769 - 2020
- [j2]Fatmatülzehra Uslu, Cher Bass, Anil A. Bharath:
PERI-Net: a parameter efficient residual inception network for medical image segmentation. Turkish J. Electr. Eng. Comput. Sci. 28(4): 2261-2277 (2020) - [c3]Fatmatülzehra Uslu, Marta Varela, Anil A. Bharath:
A Semi-Automatic Method To Segment The Left Atrium in MR Volumes With Varying Slice Numbers. EMBC 2020: 1198-1202
2010 – 2019
- 2019
- [j1]Fatmatülzehra Uslu, Anil Anthony Bharath:
A recursive Bayesian approach to describe retinal vasculature geometry. Pattern Recognit. 87: 157-169 (2019) - [c2]Tianhong Dai, Magda Dubois, Kai Arulkumaran, Jonathan Campbell, Cher Bass, Benjamin Billot, Fatmatülzehra Uslu, Vincenzo De Paola, Claudia Clopath, Anil Anthony Bharath:
Deep Reinforcement Learning for Subpixel Neural Tracking. MIDL 2019: 130-150 - [i2]Fatmatülzehra Uslu:
An Inception Inspired Deep Network to Analyse Fundus Images. CoRR abs/1911.08715 (2019) - 2018
- [c1]Fatmatülzehra Uslu, Anil Anthony Bharath:
A Multi-task Network to Detect Junctions in Retinal Vasculature. MICCAI (2) 2018: 92-100 - 2017
- [i1]Fatmatülzehra Uslu, Anil Anthony Bharath:
A Recursive Bayesian Approach To Describe Retinal Vasculature Geometry. CoRR abs/1711.10521 (2017)
Coauthor Index
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