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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Better insights with ISC when using a multi-sensory fMRI paradigm

SfN, Nov 6, 2018 *D. SINGLA1, J. KAUR2, A. DHAWAN3, V. MAHAJAN4, R. GARG2; 1Electrical Engin., 2Computer Sci. & Engin.,…

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Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study

The Lancet; Published online October 11, 2018 Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala, Mustafa Biviji, Norbert G Campeau, Vasantha Kumar…

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Evaluating the Role of Tc99m Sestamibi Scan in Parathyroid Surgery: A 10-Year Institutional Experience

(RSNA 2018, Wed Nov 28 2018 3:50PM - 4:00PM ROOM Z44) PURPOSE In this study we aim to evaluate the…

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Evaluating Variability in Knee CartiGram MRI – A Quantitative Study

(RSNA 2018, Thu Nov 29 2018 11:50AM - 12:00PM ROOM Z15) PURPOSE MRI cartilage assessment using CartiGram is a widely…

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T2 Nerve Imaging of the Brachial Plexus Using Compressed-SENSE Effect on Image Quality and Acquisition Time

(RSNA 2018, Wed Nov 28 2018 3:40PM - 3:50PM ROOM Z17) PURPOSE In this study, compressed sensing is combined with…

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Acceleration of MR Imaging of Spine Using Compressed-SENSE: A Comparison with Existing Standard of Care Clinical Acquisition Methods

(RSNA 2018, Wed Nov 28 2018 11:30AM - 11:40AM ROOM Z41) PURPOSE To objectively evaluate the impact of Compressed-SENSE (CSENSE),…

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Correlation of 99mTc-TRODAT-1 SPECT Imaging Findings and Clinical Staging of Parkinson’s Disease

(Accepted Poster at RSNA 2018, Tue Nov 27 2018 12:45PM - 1:15PM) PURPOSE Parkinson’s disease (PD) in a progressive neurodegenerative…

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Neuroimaging Evidence of Structural and Functional Brain Plasticity After Sight Onset Late in Childhood

(RSNA 2018, Mon Nov 26 2018 3:00PM - 3:10PM ROOM Z21) PURPOSE Direct data from human subjects on the validity…

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Posterior Cortical Variant Alzheimer’s Disease and Lew Body Dementia: Similarities and Differences on FDG PET Scan

(RSNA 2018, Mon Nov 26 2018 3:30PM - 3:40PM ROOM Z44) PURPOSE Posterior cortical atrophy (PCA) is a form of…

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Hepatic Shear Wave Elastography: Correlation Between Liver Stiffness and Esophagogastric Varices

(RSNA 2018, Mon Nov 26 2018 11:40AM - 11:50AM ROOM Z10) PURPOSE To evaluate the role of liver stiffness measurement…

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Medium and Large Vessel Vasculitis: Recognizing Patterns on FDG PET-CT

(RSNA 2018, Sun Nov 25 2018 11:35AM - 11:45AM ROOM Z44) PURPOSE The diagnosis of medium to large-vessel vasculitis and…

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Improving the Accuracy of Deep Learning Networks for Bone-Age Estimation by Incorporating Radiological Insight Guided Feature Analysis

(RSNA 2018, Wed Nov 28 2018 9:00AM - 9:10AM ROOM Z09) PURPOSE The Greulich-Pyle (GP) method of bone age determination…

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Localization and Restaging of Carcinoma Prostate by 68Ga PSMA PET/CT in Patients with Biochemical Recurrence: A Descriptive Study

(RSNA 2018, Mon Nov 26 2018 11:25AM - 11:35AM ROOM Z44) PURPOSE Prostate cancer is the most common solid cancer…

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Mapping the MAPCAs with Dual Source CT: What Do Cardiothoracic Surgeons Want to Know?

(Educational exhibit, RSNA 2018) V Venugopal, MD, New Delhi, India; V Mahajan, MBBS; H Mahajan, MD, MBBS TEACHING POINTS 1.…

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Five Free Radiology Hacks Every Practicing Radiologist Should Know

(Educational Exhibit, RSNA 2018) V Mahajan, MBBS, New Delhi, India; V Venugopal, MD TEACHING POINTS Many free tools available which…

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Amide Proton Transfer Imaging for Brain Tumors: Initial Experience and Current Status

(Educational Exhibit, RSNA 2018) V Mahajan, MBBS, MBA; R Bhattacharjee, MENG; I Saha, PhD; H Mahajan, MD; S Panwar, MD;…

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Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans

Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala, Mustafa Biviji, Norbert G. Campeau, Vasantha Kumar Venugopal, Vidur Mahajan, Pooja Rao, Prashant Warier Arxiv pre-print, March 2018 ABSTRACT Importance: Non-contrast…

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Semi-Automated Quantitative Analysis of Cartilage Thickness and T2 Values

Rafeek T, Sandeep Panwar Jogi, Sriram Rajan, Amit Mehndiratta, Anup Singh Accepted for presentation at ISMRM, 2018 Purpose: Osteoarthris (OA)…

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Quantitative MR Imaging of Articular Knee Cartilage with Axial Loading during Image Acquisition

Sandeep Panwar Jogi, Rafeek T., Sriram Rajan, Vidur Mahajan, Sitikanta Roy, Anup Singh, and Amit Mehndiratta Accepted for presentation at…

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Automated Seed Points Selection Based Radial-Search Segmentation Method For Sagittal and Coronal View Knee MRI Imaging

Sandeep Panwar Jogi, Rafeek T., Sriram Rajan, Krithika Rangarajan, Anup Singh, and Amit Mehndiratta Accepted for presentation at ISMRM, 2018…

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