Ravi Ranjan

According to our database, Ravi Ranjan authored at least 22 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Missing Data Imputation With Granular Semantics and AI-driven Pipeline for Bankruptcy Prediction.

Debarati Chakraborty, Ravi Ranjan

CoRR, 2024

HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment.

K. M. Arefeen Sultan, Md. Hasibul Husain Hisham, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. DiBella, Shireen Y. Elhabian

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images.

K. M. Arefeen Sultan, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. Di Bella, Shireen Y. Elhabian

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Effects of Biventricular Pacing Locations on Anti-Tachycardia Pacing Success in a Patient-Specific Model.

Eric Paccione, Matthias Lange, Benjamin A. Orkild, Jake A. Bergquist, Eugene Kwan, Bram Hunt, Derek J. Dosdall, Robert S. MacLeod, Ravi Ranjan

Proceedings of the Computing in Cardiology, 2023

A Grid Search of Fibrosis Thresholds for Uncertainty Quantification in Atrial Flutter Simulations.

Benjamin A. Orkild, Jake A. Bergquist, Eric Paccione, Matthias Lange, Eugene Kwan, Bram Hunt, Rob S. MacLeod, Akil Narayan, Ravi Ranjan

Proceedings of the Computing in Cardiology, 2023

Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation.

Bram Hunt, Eugene Kwan, Tolga Tasdizen, Jake Bergquist, Matthias Lange, Benjamin A. Orkild, Robert S. MacLeod, Derek J. Dosdall, Ravi Ranjan

Proceedings of the Computing in Cardiology, 2023

Comparison of Machine Learning Detection of Low Left Ventricular Ejection Fraction Using Individual ECG Leads.

Jake A. Bergquist, Brian Zenger, James N. Brundage, Rob S. MacLeod, Rashmee Shah, Xiangyang Ye, Ann Lyones, Ravi Ranjan, Tolga Tasdizen, T. Jared Bunch, Benjamin Steinberg

Proceedings of the Computing in Cardiology, 2023

Uncertainty Quantification of the Effect of Variable Conductivity in Ventricular Fibrotic Regions on Ventricular Tachycardia.

Jake A. Bergquist, Matthias Lange, Brian Zenger, Benjamin A. Orkild, Eric Paccione, Eugene Kwan, Bram Hunt, Jiawei Dong, Rob S. MacLeod, Akil Narayan, Ravi Ranjan

Proceedings of the Computing in Cardiology, 2023

2022

Unipolar R:S Development in Chronic Atrial Fibrillation.

Eric Paccione, Bram Hunt, Eugene Kwan, Derek J. Dosdall, Rob S. MacLeod, Ravi Ranjan

Proceedings of the Computing in Cardiology, 2022

2021

Computer Simulations Outcomes of Left Atrial Arrhythmia Induction are Highly Sensitive to Scar and Fibrosis Determination.

Matthias Lange, Eugene Kwan, Rob S. MacLeod, Ravi Ranjan

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Siamese Neural Networks for Small Dataset Classification of Electrograms.

Bram Hunt, Eugene Kwan, Derek J. Dosdall, Rob S. MacLeod, Ravi Ranjan

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Detection of microcytic hypochromia using cbc and blood film features extracted from convolution neural network by different classifiers.

Shikha Purwar, Rajiv Kumar Tripathi, Ravi Ranjan, Renu Saxena

Multim. Tools Appl., 2020

Deep Learning Based Prediction of Atrial Fibrillation Disease Progression with Endocardial Electrograms in a Canine Model.

Bram Hunt, Eugene Kwan, Mark McMillan, Derek J. Dosdall, Rob S. MacLeod, Ravi Ranjan

Proceedings of the Computing in Cardiology, 2020

2019

Software Effort Estimation using Neuro Fuzzy Inference System: Past and Present.

Aditi Sharma, Ravi Ranjan

CoRR, 2019

Evaluation of Frequent Itemset Mining Platforms using Apriori and FP-Growth Algorithm.

Ravi Ranjan, Aditi Sharma

CoRR, 2019

Regions of High Dominant Frequency in Chronic Atrial Fibrillation Anchored to Areas of Atrial Fibrosis.

Nathan Angel, Eugene G. Kholmovski, Elyar Ghafoori, Derek J. Dosdall, Rob S. MacLeod, Ravi Ranjan

Proceedings of the 46th Computing in Cardiology, 2019

2017

Microbiome Dynamics as Predictors of Lung Transplant Rejection.

Ahmed Metwally, Christian Ascoli, Kalista Andropolis, Ravi Ranjan, Yang Dai, Thomas Ferkol, Patricia W. Finn, David L. Perkins

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2014

A New Clustering Approach for Anomaly Intrusion Detection.

Ravi Ranjan, G. Sahoo

CoRR, 2014

A Practical Algorithm for Improving Localization and Quantification of Left Ventricular Scar.

Brian Zenger, Joshua Cates, Alan Morris, Eugene G. Kholmovski, Alexander Au, Ravi Ranjan, Nazem Akoum, Christopher McGann, Brent Wilson, Nassir Marrouche, Frederick T. Han, Rob S. MacLeod

Proceedings of the Computing in Cardiology, CinC 2014, 2014

Controlled Activation for Interrogation of the Electrophysiological Substrate.

Joshua J. E. Blauer, Frederick T. Han, Ravi Ranjan, Nassir Marrouche, Rob S. MacLeod

Proceedings of the Computing in Cardiology, CinC 2014, 2014

2012

Subject specific, image based analysis and modeling in patients with atrial fibrillation from MRI.

Rob S. MacLeod, Joshua Blauer, Eugene G. Kholmovski, Ravi Ranjan, Nassir Marrouche, Natalia A. Trayanova, Kathleen McDowell, Gernot Plank

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2008

Continuous Improvement through Iterative Development in a Multi-Geography.

Jim Alain Laredo, Ravi Ranjan

Proceedings of the 3rd IEEE International Conference on Global Software Engineering, 2008