Timor Kadir
University of Oxford
Image segmentationRadiologyMagnetic resonance imagingArtificial intelligenceImage registrationAtlas (topology)Pattern recognitionLung cancerNodule (medicine)MalignancyLandmarkNuclear medicineMedical imagingComputer visionMathematicsComputer scienceLumbarComputed tomographyMedicineConvolutional neural networkSegmentation
88Publications
22H-index
5,344Citations
Publications 85
Newest
#1Rhydian Windsor (University of Oxford)H-Index: 2
#2Amir Jamaludin (University of Oxford)H-Index: 9
Last. Andrew Zisserman (University of Oxford)H-Index: 175
view all 4 authors...
This paper explores the use of self-supervised deep learning in medical imaging in cases where two scan modalities are available for the same subject. Specifically, we use a large publicly-available dataset of over 20,000 subjects from the UK Biobank with both whole body Dixon technique magnetic resonance (MR) scans and also dual-energy x-ray absorptiometry (DXA) scans. We make three contributions: (i) We introduce a multi-modal image-matching contrastive framework, that is able to learn to matc...
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#1Rhydian Windsor (University of Oxford)H-Index: 2
#2Amir JamaludinH-Index: 9
Last. Andrew ZissermanH-Index: 175
view all 4 authors...
This paper explores the use of self-supervised deep learning in medical imaging in cases where two scan modalities are available for the same subject. Specifically, we use a large publicly-available dataset of over 20,000 subjects from the UK Biobank with both whole body Dixon technique magnetic resonance (MR) scans and also dual-energy x-ray absorptiometry (DXA) scans. We make three contributions: (i) We introduce a multi-modal image-matching contrastive framework, that is able to learn to matc...
#1Amir Jamaludin (University of Oxford)H-Index: 9
#2Timor Kadir (University of Oxford)H-Index: 22
Last. Jeremy Fairbank (University of Oxford)H-Index: 49
view all 9 authors...
Background: Degeneration of the intervertebral disc has long been associated with low back pain even though disc degeneration is seen in people who are asymptomatic. Investigations into the relationship between pain and disc degeneration in symptomatic and asymptomatic subjects are hampered by study sizes, by variations in definition of back pain and differences in MRI annotations of degeneration, study-to-study. Methods: We compared prevalence of disc degeneration between large symptomatic (724...
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Sharing data from clinical studies can facilitate innovative data-driven research and ultimately lead to better public health. However, sharing biomedical data can put sensitive personal information at risk. This is usually solved by anonymization, which is a slow and expensive process. An alternative to anonymization is sharing a synthetic dataset that bears a behaviour similar to the real data but preserves privacy. As part of the collaboration between Novartis and the Oxford Big Data Institut...
#1E. O'DowdH-Index: 7
#2C.R. Bellinger (Wake Forest Baptist Medical Center)
Last. David R BaldwinH-Index: 43
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#1Marjolein A Heuvelmans (UMCG: University Medical Center Groningen)H-Index: 17
#2Peter M. A. van Ooijen (UMCG: University Medical Center Groningen)H-Index: 20
Last. Matthijs Oudkerk (UG: University of Groningen)H-Index: 94
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Abstract Introduction Deep Learning has been proposed as promising tool to classify malignant nodules. Our aim was to retrospectively validate our Lung Cancer Prediction Convolutional Neural Network (LCP-CNN), which was trained on US screening data, on an independent dataset of indeterminate nodules in an European multicentre trial, to rule out benign nodules maintaining a high lung cancer sensitivity. Methods The LCP-CNN has been trained to generate a malignancy score for each nodule using CT d...
4 CitationsSource
#2Meghavi Mashar (UCLH: University College London Hospitals NHS Foundation Trust)
#3L. PickupH-Index: 3
Last. Timor KadirH-Index: 22
view all 6 authors...
Abstract Purpose To determine how implementation of an artificial intelligence nodule algorithm, the Lung Cancer Prediction Convolutional Neural Network (LCP-CNN), at the point of incidental nodule detection would have influenced further investigation and management using a series of threshold scores at both the benign and malignant end of the spectrum. Method An observational retrospective study was performed in the assessment of nodules between 5-15 mm (158 benign, 32 malignant) detected on CT...
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#1Rhydian Windsor (University of Oxford)H-Index: 2
#2Amir Jamaludin (University of Oxford)H-Index: 9
Last. Andrew Zisserman (University of Oxford)H-Index: 175
view all 4 authors...
We propose a novel convolutional method for the detection and identification of vertebrae in whole spine MRIs. This involves using a learnt vector field to group detected vertebrae corners together into individual vertebral bodies and convolutional image-to-image translation followed by beam search to label vertebral levels in a self-consistent manner. The method can be applied without modification to lumbar, cervical and thoracic-only scans across a range of different MR sequences. The resultin...
6 CitationsSource
#1Pierre P. Massion (Vandy: Vanderbilt University)H-Index: 65
#2Sanja L. Antic (Vandy: Vanderbilt University)H-Index: 4
Last. Fergus V. Gleeson (University of Oxford)H-Index: 58
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Rationale: The management indeterminate pulmonary nodules (IPNs) remains challenging, resulting in invasive procedures and delays in diagnosis and treatment. Strategies to decrease the rate of unne...
22 CitationsSource
#1Amir Jamaludin (University of Oxford)H-Index: 9
#2Rhydian Windsor (University of Oxford)H-Index: 2
Last. Aimee ReadieH-Index: 10
view all 14 authors...
Background: Magnetic resonance imaging (MRI) offers a non-invasive and objective method of early diagnosis and classification, monitoring disease burden and treatment response for patients (pts) with axial spondyloarthritis (axSpA) including ankylosing spondylitis (AS).1 Numerous scoring schemes such as the AS Spine MRI Activity (ASspiMRIa) score are available for the quantitative assessment of MRI, but are subject to intra- and inter-rater variability, labor intensive and costly. Nevertheless, ...
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