Unboxing AI – Radiological Insights Into a Deep Neural Network...

Caring-Research
Sep 23, 2019

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...

The Algorithmic Audit: Working with Vendors to Validate Radiology-AI Algorithms...

Caring-Research
Sep 17, 2019

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...

Can AI Generate Clinically Appropriate X-Ray Reports? Judging the Accuracy...

Caring-Research
Sep 11, 2019

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...

Tips and Tricks on Basic Programming Tools for Radiologists to...

Caring-Research
Aug 14, 2019

TEACHING POINTS • In the era of artificial intelligence, it is beneficial for radiologists to learn some basic programming tools to organise and curate DICOM...

Building Robust ML Models Using Federated Learning: The Future of...

Caring-Research
Aug 14, 2019

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...

How to Lie with Statistics: Things To Keep in Mind...

Caring-Research
Aug 14, 2019

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...

Practical Guide for Deployment of AI Solutions in Clinical Environment:...

Caring-Research
Aug 14, 2019

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

Getting AI Ready for Deployment: Tuning Algorithms to Specific Sites...

Caring-Research
Aug 14, 2019

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...

Deploying Deep Learning for Quality Control: An AI-assisted Review of...

Caring-Research
Aug 14, 2019

PURPOSE Quality control in radiology has thus far been restricted to performing random double reads or collating information about clinical correlation - both tedious and...

Concepts in U.S. Food and Drug Administration Regulation of Artificial...

Caring-Research
Jun 30, 2019

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...

Are radiologists’ bad teachers for AI algorithms? – Differences in...

Caring-Research
Jan 21, 2019

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...

Automated multiregional Prostatesegmentation in Magnetic Resonance using deeply supervised Convolutional...

Caring-Research
Jan 21, 2019

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...

Opening the “Black Box” – Radiological Insights into a Deep...

Caring-Research
Jan 21, 2019

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...

FuzzyPACS: Linking Large Unorganised Image and Report Databases for Development...

Caring-Research
Jan 21, 2019

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...

Combined traditional image processing and deep learning approach for automated...

Caring-Research
Jan 21, 2019

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...

Automated classification of chest X-rays as normal/abnormal using a high...

Caring-Research
Jan 21, 2019

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...

Towards Virtual MR Imaging: Predicting Diffusion-Weighted Brain MR Images from...

Caring-Research
Jan 21, 2019

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...

“Who Moved My Cheese “?- A Survival Guide on Segmentation...

Caring-Research
Jan 21, 2019

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...

The Secret Seven: Free tools that every ‘next-gen’ practicing radiologist...

Caring-Research
Jan 21, 2019

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...

Automated Chest Cavity and Lung Segmentation for Temporal Tracking of...

Caring-Research
Jan 21, 2019

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...

Development and Validation of a Deep Learning Based Automated Lumbar...

Caring-Research
Jan 21, 2019

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...

Cloud-based semi-automated liver segmentation- Analytical study to compare its speed...

Caring-Research
Jan 21, 2019

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...

Towards Radiologist-level malignancy detection on Chest CT scans: A comparative...

Caring-Research
Jan 21, 2019

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...

Stress testing a deep learning algorithm for normal/abnormal classification of...

Caring-Research
Jan 21, 2019

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...

Deep learning algorithms for detection of critical findings in head...

Caring-Research
Oct 13, 2018

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,...

Synthetic PET Generator: A Novel Method to Improve Lung Nodule...

Caring-Research
Jul 26, 2018

(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...

Improving the Accuracy of Deep Learning Networks for Bone-Age Estimation...

Caring-Research
Jul 26, 2018

(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...

Development and Validation of Deep Learning Algorithms for Detection of...

Caring@MI
Mar 21, 2018

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...

Current state of AI in radiology

Caring-Research
Mar 14, 2018

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

Dawn of an AI era?

Caring-Research
Feb 27, 2018

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...

Automated Seed Points Selection Based Radial-Search Segmentation Method For Sagittal...

Caring-Research
Feb 26, 2018

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...