Comparison of 90 and 180 Micron Resolution Cone Beam CT Scans in Patients with Artefact Causing Root Canal Filling Material

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Many dental patients have root-canal filled teeth which cause…

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Automated multiregional Prostatesegmentation in Magnetic Resonance using deeply supervised Convolutional Neural Networks

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose A CNN-based automatic prostate segmentation method is proposed, aiming…

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Time to replace T2-STIR with Diffusion-Weighted imaging for visualisation of nerve disorders?

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To determine if diffusion-weighted imaging of nerves can provide…

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Opening the “Black Box” – Radiological Insights into a Deep Neural Network for Lung Nodule Characterisation

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To explain predictions of a deep residual convolutional network…

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Evaluating variability of T2 values of the cartilage, menisci and muscles around knee joint on CartiGram sequence at 1.5 T and 3.0 T MR

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To evaluate the temporal and inter magnetic field strength…

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FuzzyPACS: Linking Large Unorganised Image and Report Databases for Development and Validation of Deep Learning Algorithms

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Developing and validation of Deep Learning (DL) algorithms for…

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Automated classification of chest X-rays as normal/abnormal using a high sensitivity deep learning algorithm

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Majority of Chest X-rays (CXRs) performed globally are normal…

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Towards Virtual MR Imaging: Predicting Diffusion-Weighted Brain MR Images from T2-Weighted Images Using Convolutional Neural Networks

Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose In a quest for standardisation and speeding-up for MR…

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“Who Moved My Cheese “?- A Survival Guide on Segmentation & Annotation Tools for Radiologists to adapt to AI Revolution.

Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to…

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The Secret Seven: Free tools that every ‘next-gen’ practicing radiologist should know!

Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to…

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How to take-on Metal-on Metal in MRI: A Step-By-Step Guide to read Musculoskeletal MRI with Metallic implants

Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to…

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How much weighting does T1 Weighting deserve? – Tips and tricks for reading T1 sequences in Musculoskeletal MR scans

Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to…

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Cine Mode MRI in Pre- & Post-Operative Evaluation of Hydrocephalus – Life beyond NPH and aqueduct stenosis

Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to…

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Automated Chest Cavity and Lung Segmentation for Temporal Tracking of Lung Pathologies on Chest X-Ray

Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Objectively evaluating progression and regression of lung pathologies on…

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Development and Validation of a Deep Learning Based Automated Lumbar Spinal Canal Segmentation and Measurement Tool

Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose We describe a novel use-case of Convolutional Neural Networks…

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Initial experiences with Amide Proton Transfer Imaging – Correlation between quantitative MTRasym ratio, rCBV and rCBF values in brain tumours

Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Amide proton transfer (APT) imaging is a new molecular…

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Cloud-based semi-automated liver segmentation- Analytical study to compare its speed and accuracy with a semi-automated workstation based software

Poster Presentation at the European Congress of Radiology, Vienna, 2019  Purpose We discuss a novel method to semi-automatically segment liver…

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Stress testing a deep learning algorithm for normal/abnormal classification of Chest X-rays on a spectrum-biased abnormal weighted dataset

Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To stress test the performance of a deep learning…

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CARING’s 18 oral presentations at ECR 2019

We are extremely proud to announce that we have 18 oral presentations (including 2 oral posters) at the European Congress…

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Current state of AI in radiology

Dr. Vidur Mahajan penned down his thoughts on AI in Radiology for Express Healthcare (Vol.12, No.3) in March, 2018. View…

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Cover of India Today January, 2018 Issue

Cover of India Today January, 2018 Issue

CARING helped design the January India Today Spice cover page using a blend of X-Ray and CT Scan technology. Just…

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Dawn of an AI era?

Dawn of an AI era?

Mansha Gagneja, from Express Healthcare, caught up with Dr Vidur Mahajan to learn about AI’s impact on the radiology sector…

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Spread the word: Learning changes brain, behaviour

Spread the word: Learning changes brain, behaviour

How does literacy change our brain, behaviour or personality? A group of scientists from AIIMS, JNU and Max Planck Institute of Psycholinguistics,…

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