Unboxing AI – Radiological Insights Into a Deep Neural Network for Lung Nodule Characterization

Rationale and Objectives: To explain predictions of a deep residual convolutional network for characterization of lung nodule by analyzing heat…

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Spectrum of Autoimmune Limbic Encephalitis on FDG PET/CT (RSNA 2019, Sun Dec 01 – 06)

PURPOSE To evaluate the role of FDG PET CT in the diagnosis, treatment response evaluation and follow up of patients…

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Next Generation Sequencing for the Practicing Radiologist (RSNA 2019, Sun Dec 01 – 06)

TEACHING POINTS Next Generation Sequencing (NGS) is a technique of reading the entire genome or screening few relevant genes for…

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Circulating Tumor DNA (ctDNA) – A Potential Adjunct to FDG-PET Imaging in Cancer Follow Up (RSNA 2019, Sun Dec 01 – 06)

TEACHING POINTS • With the continuous advances in healthcare - Next Generation Sequencing and PET-CT are revolutionising cancer diagnostics •…

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Tips and Tricks on Basic Programming Tools for Radiologists to Handle DICOM Data (RSNA 2019, Sun Dec 01 – 06)

TEACHING POINTS • In the era of artificial intelligence, it is beneficial for radiologists to learn some basic programming tools…

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Practical Guide for Deployment of AI Solutions in Clinical Environment: How Did We Do It? (RSNA 2019, Sun Dec 01 – 06)

TEACHING POINTS • Every AI company developing/validating algorithms on different modalities has this question in mind - how to deploy…

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Evaluating the Complimentary Role of Pseudo-STIR in Assessment of Hyperintense Marrow Lesions as Compared to T2-STIR (RSNA 2019, Sun Dec 01 – 06)

PURPOSE T2W weighted images contain inherent T1W weighted contrast. Pseudo-STIR images are generated by a simple post processing technique of…

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Concepts in U.S. Food and Drug Administration Regulation of Artificial Intelligence for Medical Imaging

OBJECTIVE. Although extensive attention has been focused on the enormous potential of artificial intelligence (AI) technology, a major question remains:…

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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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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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“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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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 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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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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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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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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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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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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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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