Turkay Kart

According to our database, Turkay Kart authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures.

Turkay Kart, Mohanad Alkhodari, Winok Lapidaire, Abhirup Banerjee, Adam J. Lewandowski, Paul Leeson

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning.

Mohanad Alkhodari, Winok Lapidaire, Zhaohan Xiong, Turkay Kart, Yasser Iturria-Medina, Leontios J. Hadjileontiadis, Ahsan Khandoker, Adam J. Lewandowski, Abhirup Banerjee, Paul Leeson

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Self-Supervised Learning for Few-Shot Medical Image Segmentation.

Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert

IEEE Trans. Medical Imaging, 2022

2021

MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision.

Jeremy Tan, Turkay Kart, Benjamin Hou, James Batten, Bernhard Kainz

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization.

Turkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

2020

Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain.

Ahmed E. Fetit, John Cupitt, Turkay Kart, Daniel Rueckert

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation.

Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert

Proceedings of the Computer Vision - ECCV 2020, 2020