Using Traditional Machine Learning Techniques for Predicting the Best Clinical...
PURPOSE OR LEARNING OBJECTIVE: To use machine learning techniques for predicting the clinical outcomes on improvement in VAS, MOD, and NCOS based on the managements...
Read MoreEstimation of bias of deep learning-based chest X-ray classification algorithm
PURPOSE OR LEARNING OBJECTIVE: To evaluate the bias in the diagnostic performance of a deep learning-based chest X-ray classification algorithm on previously unseen external data....
Read MoreWhy Standardisation Of Pre-inferencing Image Processing Methods Is Crucial For...
PURPOSE OR LEARNING OBKECTIVE: To evaluate if there are statistically significant differences in the outputs of a deep learning algorithm on two inferencing workflows, with...
Read MoreEnhanced separation of brain tumors and edema via diffusion tensor...
PURPOSE OR LEARNING OBJECTIVE: To investigate the clinical potential of diffusion tensor distribution imaging (DTD) for visually differentiating brain tumors and edema from healthy tissue...
Read MoreImplementation Of Fast Echo-planar Imaging (EPImix) MRI Sequence For Scan...
PURPOSE OR LEARNING OBJECTIVE: To detail how a fast multi-contrast Echo planar Image mix (EPIMix) MRI sequence can lead to a successful reduction in scan...
Read MoreAll True Positives Are Not Truly Positive – Utility Of...
PURPOSE: To evaluate the localization failures of deep learning based Chest X-ray classification algorithms on a for detection of consolidation To compare the localization accuracies...
Read MoreMove Away HIPAA And GDPR, Here Comes CrypTFlow – Secure...
TEACHING POINTS: Currently, running Artificial Intelligence (AI) algorithms on medical images requires either the sharing of medical images with developers of the algorithms, or sharing...
Read MoreClinical Experience Using Novel Multidimensional Diffusion Magnetic Resonance Imaging For...
TEACHING POINTS: Multidimensional diffusion (MDD) MRI is a novel imaging technique that provides information enabling better discrimination of the average rate, microscopic anisotropy, and orientation...
Read MoreValidation of expert system enhanced deep learning algorithm for automated...
Abstract SARS-CoV2 pandemic exposed the limitations of artificial intelligence based medical imaging systems. Earlier in the pandemic, the absence of sufficient training data prevented effective...
Read MoreDevice for Assessing Knee Joint Dynamics During Magnetic Resonance Imaging
Abstract Background: Knee assessment with and without load using magnetic resonance imaging (MRI) can provide information on knee joint dynamics and improve the diagnosis of...
Read MoreModel for in-vivo estimation of stiffness of tibiofemoral joint using...
Abstract Background: Appropriate structural and material properties are essential for finite-element-modeling (FEM). In knee FEM, structural information could extract through 3D-imaging, but the individual subject’s...
Read MoreAutomatic pre-population of normal chest x-ray reports using a high-sensitivity...
Purpose: To evaluate a high-sensitivity deep learning algorithm for normal/abnormal chest x-ray (CXR) classification by deploying it in a real clinical setting. Methods and materials:...
Read MoreValidation of a high precision semantic search tool using a...
Purpose: To validate a sematic search tool by testing the search results for complex terms. Methods and materials: The tool consists of two pipelines: an...
Read MoreA novel abnormality annotation database for covid-19 affected frontal lung...
Abstract Purpose: To advance the usage of CXRs as a viable solution for efficient COVID-19 diagnostics by providing large-scale annotations of the abnormalities in frontal...
Read MoreEstimating AI-generated Bias in Radiology Reporting by Measuring the Change...
PURPOSE: To estimate the extent of bias generated by AI in the radiologists’ reporting of grades of osteoarthritis on Knee X-rays by observing the change...
Read MoreCan AI Help Read Pediatric Chest X-rays? An independent Evaluation...
PURPOSE: To evaluate the performance of a commercially available deep learning-based AI algorithm on pediatric chest X-rays (CXRs). METHOD AND MATERIALS: 3,319 frontal (PA and...
Read MoreInitial Clinical Experiences with EPIMIX Sequence in Multiple Brain Pathologies
TEACHING POINTS: A new multi-contrast echo planar imaging sequence called EPIMIX has been described with a 72-75 second long sequence providing a range of contrasts...
Read MoreAssessment of Brain Tissue Microstructure by Diffusion Tensor Distribution MRI:...
PURPOSE: To explore the potential of the novel diffusion tensor distribution (DTD) MRI method for assessment of brain tissue microstructure in terms of nonparametric DTDs...
Read MoreHigh throughput detection and genetic epidemiology of SARS-CoV-2 using COVIDSeq...
Abstract The rapid emergence of coronavirus disease 2019 (COVID-19) as a global pandemic affecting millions of individuals globally has necessitated sensitive and high-throughput approaches for...
Read MoreClinical Explainability Failure (CEF) & Explainability Failure Ratio (EFR): changing...
Abstract Adoption of Artificial Intelligence (AI) algorithms into the clinical realm will depend on their inherent trustworthiness, which is built not only by robust validation...
Read MoreGiant glomus tumor of the knee mimicking soft-tissue sarcoma
ABSTRACT Glomangiomas (glomus tumors) are benign vascular tumors commonly located at the distal extremities, are usually subungual lesions, and account for 2% of all soft-tissue...
Read MoreA Systematic Meta-Analysis of CT Features of COVID-19: Lessons from...
Vasantha Kumar Venugopal, Vidur Mahajan, Sriram Rajan, Vikash Kumar Agarwal, Ruchika Rajan, Salsabeel Syed, Harsh Mahajan This article is a preprint and has not been peer-reviewed [what does this mean?]. It reports new medical research that has yet...
Read MoreA Comparison of the Reliability of the Patellar Tendon- Trochlear...
Introduction: An increased tibial tuberosity-trochlear groove (TTTG) distance is used for deciding a treatment plan in patello-femoral instability (PFI). The centre of the patellar tendon...
Read MoreA What, When and Where Guide on Open Source DICOM...
LEARNING OBJECTIVES: The learning objectives of this exhibit are: 1. To know the different open- source Dicom viewers for different platforms(mobile, desktop and tablets) 2....
Read MoreHIPAA, GDPR and Best Practice Guidelines for preserving data security...
LEARNING OBJECTIVES: At the end of this exhibit, the reader is expected to learn the following things: To understand the key aspects of HIPAA and...
Read MoreSpleen or liver? – Prospective study to evaluate the role...
PURPOSE: In advanced fibrosis, liver stiffness measurements were shown to have no predictive potential for the severity of portal hypertension. We propose to test if...
Read MoreAcceleration of cerebrospinal fluid flow quantification using Compressed-SENSE: A quantitative...
PURPOSE: CSF quantification study is typically useful in pediatric and elderly population for normal pressure hydrocephalus (NPH). In these population, scan time reduction is particularly...
Read MoreAutomated Vertebral labeling and Quantification of Spondylotic Metrics of MR...
Purpose: MRI of the spine is one of the commonest studies performed in clinical practice usually to study the cause of back pain. The reading...
Read MoreEstablishing Normative Liver Volume and Attenuation for the Population of...
PURPOSE: Deep learning has enabled the analysis of large datasets which previously required significant manual labour. We used a deep learning algorithm to study the...
Read MoreSix must-have features for advanced analytics and visualization platform for...
LEARNING OBJECTIVES: In this exhibit, we discuss the six key must-have features on any analytical platform that is intended for the validation of AI algorithms....
Read MoreDICE Score vs Radiologist – Visual quantification of Virtual Diffusion...
PURPOSE: The performances of image segmentation/translation algorithms are typically evaluated by measuring image similarity metrics like DICE score or SSIM. In some instances, this approach...
Read MoreAre orthopaedic surgeons as good as radiologists at detecting glenoid...
PURPOSE: In the current era of information age, medical education and training has undergone a rapid shift in the style and structure. Radiology training, due...
Read MoreEvaluating radiologists’ knowledge of MRI safety – a questionnaire-based survey...
PURPOSE: There is a lot of confusion about whether to scan patients with different types of metal in their bodies, to the extent that patients...
Read MoreModified radial-search algorithm for segmentation of tibiofemoral cartilage in MR...
Abstract Purpose: The quantitative analysis of weight-bearing articular cartilage superficial to subchondral abnormality is important in osteoarthritis (OA) progression studies. The current study aimed to...
Read MoreMetabolic imaging patterns in posterior cortical atrophy and Lewy body...
Purpose: To study the imaging patterns of Posterior cortical atrophy (PCA) and Dementia with Lewy bodies (DLB) on fluoro-deoxyglucose positron emission tomography computed tomography ([18F]FDG...
Read MoreUnboxing AI – Radiological Insights Into a Deep Neural Network...
Rationale and Objectives: To explain predictions of a deep residual convolutional network for characterization of lung nodule by analyzing heat maps Materials and Methods A...
Read MoreThe Algorithmic Audit: Working with Vendors to Validate Radiology-AI Algorithms...
Abstract There is a plethora of Artificial Intelligence (AI) tools that are being developed around the world aiming at either speeding up or improving the...
Read MoreCan AI Generate Clinically Appropriate X-Ray Reports? Judging the Accuracy...
PURPOSE Implementations of deep learning algorithms in clinical practice are limited by the nature of output provided by the algorithms. We evaluate the accuracy, clinical...
Read MoreSpectrum of Autoimmune Limbic Encephalitis on FDG PET/CT
PURPOSE To evaluate the role of FDG PET CT in the diagnosis, treatment response evaluation and follow up of patients with suspected autoimmune limbic encephalitis...
Read MoreNext Generation Sequencing for the Practicing Radiologist
TEACHING POINTS Next Generation Sequencing (NGS) is a technique of reading the entire genome or screening few relevant genes for aberrations. NGS sequences DNA parallelly...
Read MoreCirculating Tumor DNA (ctDNA) – A Potential Adjunct to FDG-PET...
TEACHING POINTS • With the continuous advances in healthcare - Next Generation Sequencing and PET-CT are revolutionising cancer diagnostics • Survival outcomes in cancer can...
Read MoreTips and Tricks on Basic Programming Tools for Radiologists to...
TEACHING POINTS • In the era of artificial intelligence, it is beneficial for radiologists to learn some basic programming tools to organise and curate DICOM...
Read MoreBuilding Robust ML Models Using Federated Learning: The Future of...
TEACHING POINTS What does Deep Neural Nets learn? Are they cramming or they are learning? How to avoid cramming and move towards learning. How to...
Read MoreHow to Lie with Statistics: Things To Keep in Mind...
TEACHING POINTS 1. In today's age of deep learning and artificial intelligence, a radiologist must know what to watch out for while evaluating a deep...
Read MorePractical Guide for Deployment of AI Solutions in Clinical Environment:...
TEACHING POINTS • Every AI company developing/validating algorithms on different modalities has this question in mind - how to deploy AI algorithms in a radiology...
Read MoreGetting AI Ready for Deployment: Tuning Algorithms to Specific Sites...
PURPOSE Lack of generalisation of deep neural networks, due to equipment and geographic variability, is a known problem facing the radiology community today. We propose...
Read MoreMediastinal Lymph Nodal Staging by 18 F FDG PET CT...
PURPOSE The aim of this study is to evaluate the imaging characteristics of metastatic and benign (Tubercular) lymph nodes on18 F FDG PET/CT, in patients...
Read MoreMaking Spine MR Reports More Clinically Appropriate: A Questionnaire-based Survey...
PURPOSE MR reports have been unchanged for a long time, and clinical relevance of MR findings are being challenged in literature. We assess the weightage...
Read MoreEvaluating the Complimentary Role of Pseudo-STIR in Assessment of Hyperintense...
PURPOSE T2W weighted images contain inherent T1W weighted contrast. Pseudo-STIR images are generated by a simple post processing technique of subtracting T1W images from the...
Read MoreDeploying Deep Learning for Quality Control: An AI-assisted Review of...
PURPOSE Quality control in radiology has thus far been restricted to performing random double reads or collating information about clinical correlation - both tedious and...
Read MoreEstablishing Normative Kidney Sizes for a Large Developing Country’s Adult...
PURPOSE There are no large-scale population level studies describing kidney size in normal adult population from this geography. Currently, radiologists rely on data from other...
Read MoreDifference in the Spectrum of Metastatic Disease on 68Ga PSMA...
PURPOSE To determine the pattern of metastatic disease with 68Ga PSMA PET/CT in patients with biochemical recurrence after definitive treatment. METHOD AND MATERIALS A retrospective...
Read MoreConcepts in U.S. Food and Drug Administration Regulation of Artificial...
OBJECTIVE. Although extensive attention has been focused on the enormous potential of artificial intelligence (AI) technology, a major question remains: how should this fundamentally new...
Read MoreAutomatic delineation of anterior and posterior cruciate ligaments by combining...
Abstract Quantitative evaluation of bones and ligaments around knee joint from magnetic resonance imaging (MRI) often requires the boundaries of selected structures to be manually...
Read MoreComparison of 90 and 180 Micron Resolution Cone Beam CT...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Many dental patients have root-canal filled teeth which cause artefacts on a Cone Beam...
Read MoreAre radiologists’ bad teachers for AI algorithms? – Differences in...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To assess differences in interobserver variability before and after a consensus-based definition of the...
Read MoreAutomated multiregional Prostatesegmentation in Magnetic Resonance using deeply supervised Convolutional...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose A CNN-based automatic prostate segmentation method is proposed, aiming to identify and differentiate central...
Read MoreTime to replace T2-STIR with Diffusion-Weighted imaging for visualisation of...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To determine if diffusion-weighted imaging of nerves can provide additional information or change the...
Read MoreOpening the “Black Box” – Radiological Insights into a Deep...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To explain predictions of a deep residual convolutional network for characterization of lung nodule...
Read MoreEvaluating variability of T2 values of the cartilage, menisci and...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To evaluate the temporal and inter magnetic field strength variability of T2 values of...
Read MoreFuzzyPACS: Linking Large Unorganised Image and Report Databases for Development...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Developing and validation of Deep Learning (DL) algorithms for medical imaging requires access to...
Read MoreWhy Guidelines are Important? Inter observer variability in assessing MRI...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To assess the interobserver variability in identifying the MRI signs of endometriosis as described...
Read MoreCombined traditional image processing and deep learning approach for automated...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose We propose a novel ensemble-approach of traditional image processing combined with deep learning to...
Read MoreAutomated classification of chest X-rays as normal/abnormal using a high...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Majority of Chest X-rays (CXRs) performed globally are normal and radiologists spend significant time...
Read MoreRetrospective Comparative Study to Assess the Pitfalls of Cartigram and...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To analyze the common pitfalls in T2 cartilage maps of the knee joint. To...
Read MoreTowards Virtual MR Imaging: Predicting Diffusion-Weighted Brain MR Images from...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose In a quest for standardisation and speeding-up for MR Imaging, there is a move...
Read More“Who Moved My Cheese “?- A Survival Guide on Segmentation...
Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to us in case you would...
Read MoreThe Secret Seven: Free tools that every ‘next-gen’ practicing radiologist...
Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to us in case you would...
Read MoreHow to take-on Metal-on Metal in MRI: A Step-By-Step Guide...
Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to us in case you would...
Read MoreHow much weighting does T1 Weighting deserve? – Tips and...
Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to us in case you would...
Read MoreCine Mode MRI in Pre- & Post-Operative Evaluation of Hydrocephalus...
Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to us in case you would...
Read MoreAutomated Chest Cavity and Lung Segmentation for Temporal Tracking of...
Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Objectively evaluating progression and regression of lung pathologies on frontal Chest X-Ray (CXR) in...
Read MoreDevelopment and Validation of a Deep Learning Based Automated Lumbar...
Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose We describe a novel use-case of Convolutional Neural Networks to automatically measure spinal canal...
Read MoreInitial experiences with Amide Proton Transfer Imaging – Correlation between...
Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Amide proton transfer (APT) imaging is a new molecular MRI technique based on chemical...
Read MoreCloud-based semi-automated liver segmentation- Analytical study to compare its speed...
Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose We discuss a novel method to semi-automatically segment liver parenchyma and vasculature using deep...
Read MoreTowards Radiologist-level malignancy detection on Chest CT scans: A comparative...
Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To evaluate the performance of a deep learning system based on convolutional neural networks...
Read MoreStress testing a deep learning algorithm for normal/abnormal classification of...
Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To stress test the performance of a deep learning algorithm on a dataset with...
Read MoreCine Mode MRI in Pre- & Post-Operative Evaluation of Hydrocephalus...
LEARNING OBJECTIVES: 1. To learn the relevant pathophysiology of Hydrocephalus. 2. To learn the physics of cine mode (Phase contrast) MRI brain sequences and detail...
Read MoreCARING’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 of Radiology in 2019. Below...
Read MoreBetter 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., Indian Inst. of Technology, Delhi,...
Read MoreDeep learning algorithms for detection of critical findings in head...
The Lancet; Published online October 11, 2018 Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala, Mustafa Biviji, Norbert G Campeau, Vasantha Kumar Venugopal, Vidur Mahajan, Pooja Rao,...
Read MoreEvaluating the Role of Tc99m Sestamibi Scan in Parathyroid Surgery:...
(RSNA 2018, Wed Nov 28 2018 3:50PM - 4:00PM ROOM Z44) PURPOSE In this study we aim to evaluate the (99mTc) sestamibi parathyroid scan as...
Read MoreA Comparative Analysis of Myocardial Perfusion on Gated SPECT versus...
(RSNA 2018, Sun Nov 25 2018 11:05AM - 11:15AM ROOM Z44) PURPOSE The aim of the current study was to compare the results of 64-slice...
Read MoreEvaluating 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 used T2 mapping sequence to...
Read MoreT2 Nerve Imaging of the Brachial Plexus Using Compressed-SENSE Effect...
(RSNA 2018, Wed Nov 28 2018 3:40PM - 3:50PM ROOM Z17) PURPOSE In this study, compressed sensing is combined with the parallel-imaging or SENSE infrastructure,...
Read MoreAcceleration of MR Imaging of Spine Using Compressed-SENSE: A Comparison...
(RSNA 2018, Wed Nov 28 2018 11:30AM - 11:40AM ROOM Z41) PURPOSE To objectively evaluate the impact of Compressed-SENSE (CSENSE), a novel acquisition technique that...
Read MoreCorrelation of 99mTc-TRODAT-1 SPECT Imaging Findings and Clinical Staging of...
(Accepted Poster at RSNA 2018, Tue Nov 27 2018 12:45PM - 1:15PM) PURPOSE Parkinson’s disease (PD) in a progressive neurodegenerative disorder that results in loss...
Read MoreSynthetic PET Generator: A Novel Method to Improve Lung Nodule...
(Accepted Poster at RSNA 2018, Tue Nov 27 2018 12:15PM - 12:45PM) BACKGROUND Assessment of malignancy of lung nodules on CT scans is a subjective...
Read MoreNeuroimaging Evidence of Structural and Functional Brain Plasticity After Sight...
(RSNA 2018, Mon Nov 26 2018 3:00PM - 3:10PM ROOM Z21) PURPOSE Direct data from human subjects on the validity of the “critical period” of...
Read MorePosterior Cortical Variant Alzheimer’s Disease and Lew Body Dementia: Similarities...
(RSNA 2018, Mon Nov 26 2018 3:30PM - 3:40PM ROOM Z44) PURPOSE Posterior cortical atrophy (PCA) is a form of dementia considered to be an...
Read MoreHepatic Shear Wave Elastography: Correlation Between Liver Stiffness and Esophagogastric...
(RSNA 2018, Mon Nov 26 2018 11:40AM - 11:50AM ROOM Z10) PURPOSE To evaluate the role of liver stiffness measurement (LSM) measured by shear wave...
Read MoreMedium 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 the assessment of its activity...
Read MoreEvaluation of Role of F-18 FDG Cardiac PET and Tc-99m...
(RSNA 2018, Sun Nov 25 2018 10:55AM - 11:05AM ROOM Z44) PURPOSE To evaluate the therapeutic benefit with revascularization and optimal medical treatment (OMT) in...
Read MoreImproving the Accuracy of Deep Learning Networks for Bone-Age Estimation...
(RSNA 2018, Wed Nov 28 2018 9:00AM - 9:10AM ROOM Z09) PURPOSE The Greulich-Pyle (GP) method of bone age determination primarily involves estimation of ossification...
Read MoreLocalization and Restaging of Carcinoma Prostate by 68Ga PSMA PET/CT...
(RSNA 2018, Mon Nov 26 2018 11:25AM - 11:35AM ROOM Z44) PURPOSE Prostate cancer is the most common solid cancer in men. Following definitive treatment...
Read MoreMapping the MAPCAs with Dual Source CT: What Do Cardiothoracic...
(Educational exhibit, RSNA 2018) V Venugopal, MD, New Delhi, India; V Mahajan, MBBS; H Mahajan, MD, MBBS TEACHING POINTS 1. Major Aortopulmonary collateral arteries are...
Read MoreFive 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 can enhance radiologists’ practice from...
Read MoreAmide Proton Transfer Imaging for Brain Tumors: Initial Experience and...
(Educational Exhibit, RSNA 2018) V Mahajan, MBBS, MBA; R Bhattacharjee, MENG; I Saha, PhD; H Mahajan, MD; S Panwar, MD; V Venugopal, MD TEACHING POINTS...
Read MoreDevelopment and Validation of Deep Learning Algorithms for Detection of...
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 head CT scan is the...
Read MoreCurrent 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 Article
Read MoreSpread 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, Netherlands are mapping this by...
Read MoreSemi-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) is the degenerative disease in...
Read MoreQuantitative MR Imaging of Articular Knee Cartilage with Axial Loading...
Sandeep Panwar Jogi, Rafeek T., Sriram Rajan, Vidur Mahajan, Sitikanta Roy, Anup Singh, and Amit Mehndiratta Accepted for presentation at ISMRM, 2018 Purpose: Musculoskeletal diseases...
Read MoreAutomated Seed Points Selection Based Radial-Search Segmentation Method For Sagittal...
Sandeep Panwar Jogi, Rafeek T., Sriram Rajan, Krithika Rangarajan, Anup Singh, and Amit Mehndiratta Accepted for presentation at ISMRM, 2018 Synopsis: Knee disorders are generally...
Read MoreDawn 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 and understand its adoption at...
Read More