Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation. - Cheng Ouyang; Carlo Biffi; Chen Chen 042; Turkay Kart; Huaqi Qiu; Daniel Rueckert (ECCV (29), 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 (MIDL, 2020)

DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization. - Turkay Kart; Wenjia Bai; Ben Glocker; Daniel Rueckert (DGM4MICCAI/DALI@MICCAI, 2021)

MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision. - Jeremy Tan; Turkay Kart; Benjamin Hou; James Batten; Bernhard Kainz (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Self-Supervised Learning for Few-Shot Medical Image Segmentation. - Cheng Ouyang; Carlo Biffi; Chen Chen 042; Turkay Kart; Huaqi Qiu; Daniel Rueckert (IEEE Trans. Medical Imaging, 2022)

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 (BIBM, 2023)

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 (BIBM, 2024)