Ravi Ranjan

According to our database¹, Ravi Ranjan authored at least 20 papers between 2008 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2023

Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2023

2022

Unipolar R:S Development in Chronic Atrial Fibrillation.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2022

2021

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

[BibT_eX]

[DOI]

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

Siamese Neural Networks for Small Dataset Classification of Electrograms.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2020

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

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2020

2019

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

[BibT_eX]

[DOI]

Aditi Sharma

Ravi Ranjan

CoRR, 2019

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

[BibT_eX]

[DOI]

Ravi Ranjan

Aditi Sharma

CoRR, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 46th Computing in Cardiology, 2019

2017

Microbiome Dynamics as Predictors of Lung Transplant Rejection.

[BibT_eX]

[DOI]

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

2014

A New Clustering Approach for Anomaly Intrusion Detection.

[BibT_eX]

[DOI]

Ravi Ranjan

G. Sahoo

CoRR, 2014

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

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, CinC 2014, 2014

Controlled Activation for Interrogation of the Electrophysiological Substrate.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, CinC 2014, 2014

2012

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jim Alain Laredo

Ravi Ranjan

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

Ravi Ranjan

Timeline

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Links

On csauthors.net:

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