James Thomas Patrick Decourcy Hallinan

National University Hospital

Singapore

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Articles (16)

Metal artifact reduction (MAR) algorithms are commonly used in computed tomography (CT) scans where metal implants are involved. However, MAR algorithms also have the potential to create new artifacts in reconstructed images. We present a case of a screw pseudofracture due to MAR on CT.

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (4)

Melissa Ooi

Assistant Professor of Medicine

National University of Singapore (NUS)

SINGAPORE

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Naresh Kumar

National University Health System

SINGAPORE

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Martin John Graves

Professor of MR Physics

University of Cambridge

UNITED KINGDOM

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Tricia Kuah

National University Hospital

SINGAPORE

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James Thomas Patrick Decourcy Hallinan

Research Interests

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Articles (16)

Pedicle Screw Pseudofracture on Computed Tomography Secondary to Metal Artifact Reduction

Applications of Artificial Intelligence and Machine Learning in Spine MRI

Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging—A Systematic Review

Application of Artificial Intelligence Methods on Osteoporosis Classification with Radiographs—A Systematic Review

Multiple Myeloma: Case of a “Moving” Sternal Wire

Epithelioid Sarcoma of the Spine: A Review of Literature and Case Report

Design and 3D printing of novel titanium spine rods with lower flexural modulus and stiffness profile with optimised imaging compatibility

Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review

A deep learning-based technique for the diagnosis of epidural spinal cord compression on thoracolumbar CT

Deep Learning for Spine MRI: Reducing Time Not Quality

Common Healthcare Related Instruments Subjected To Magnetic Attraction Study (CHRISTMAS): prospective in situ experimental study

Artificial Intelligence Applications for Osteoporosis Classification Using Computed Tomography

Diagnostic Accuracy of CT for Metastatic Epidural Spinal Cord Compression

State-of-the-Art Imaging Techniques in Metastatic Spinal Cord Compression

Detection of Pneumothorax with Deep Learning Models: Learning From Radiologist Labels vs Natural Language Processing Model Generated Labels

Application of Artificial Intelligence Methods for Imaging of Spinal Metastasis

Collaborators (4)

Melissa Ooi

Naresh Kumar

Martin John Graves

Tricia Kuah

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