Turkay Kart

Turkay Kart

Imperial College London

H-index: 7

Europe-United Kingdom

About Turkay Kart

Turkay Kart, With an exceptional h-index of 7 and a recent h-index of 6 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Computer Vision, Machine Learning, Medical Imaging, Medical Image Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hyperscore: a unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning

Modelling relations between blood pressure, cardiovascular phenotype, and clinical factors using large scale imaging data

Better together: data harmonization and cross-study analysis of abdominal MRI data from UK biobank and the German National Cohort

Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies

Quality Control Matters: Automated Magnetic Resonance Imaging-based Abdominal Organ Segmentation in 20,000 Participants of the UK Biobank and German National Cohort Studies.

Self-supervised learning for few-shot medical image segmentation

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

Deep Learning‐Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies

Turkay Kart Information

University

Position

___

Citations(all)

306

Citations(since 2020)

298

Cited By

24

hIndex(all)

7

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Turkay Kart Skills & Research Interests

Computer Vision

Machine Learning

Medical Imaging

Medical Image Analysis

Top articles of Turkay Kart

Hyperscore: a unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning

2023/12/5

Modelling relations between blood pressure, cardiovascular phenotype, and clinical factors using large scale imaging data

2023/10

Turkay Kart
Turkay Kart

H-Index: 3

Paul Leeson
Paul Leeson

H-Index: 42

Better together: data harmonization and cross-study analysis of abdominal MRI data from UK biobank and the German National Cohort

Investigative Radiology

2022/12/26

Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies

Scientific Reports

2022/11/4

Quality Control Matters: Automated Magnetic Resonance Imaging-based Abdominal Organ Segmentation in 20,000 Participants of the UK Biobank and German National Cohort Studies.

2022/7/19

Self-supervised learning for few-shot medical image segmentation

IEEE Transactions on Medical Imaging

2022/2/9

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

2021/9/27

Deep Learning‐Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies

Investigative Radiology

2021/6/1

DeepMCAT: large-scale deep clustering for medical image categorization

2021/10/1

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

2020/9/21

Turkay Kart
Turkay Kart

H-Index: 3

Daniel Rueckert
Daniel Rueckert

H-Index: 85

Self-supervision with superpixels: Training few-shot medical image segmentation without annotation

2020

See List of Professors in Turkay Kart University(Imperial College London)

Co-Authors

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