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ORCIDPrasanth Ganesan
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2020 – today
- 2023
[c15]Maxime Pedron, Prasanth Ganesan, Ruibin Feng, Brototo Deb, Hui Chang, Samuel Ruipérez-Campillo, Sulaiman Somani, Yaanik Desai, Albert J. Rogers, Paul Clopton, Sanjiv M. Narayan:
Defining the Predictive Ceiling of Electrogram Features Alone for Predicting Outcomes From Atrial Fibrillation Ablation. CinC 2023: 1-4- 2022
- [j1]Miguel Rodrigo
, Mahmood I. Alhusseini, Albert J. Rogers, Chayakrit Krittanawong, Sumiran Thakur, Ruibin Feng, Prasanth Ganesan, Sanjiv M. Narayan:
Atrial fibrillation signatures on intracardiac electrograms identified by deep learning. Comput. Biol. Medicine 145: 105451 (2022) - [c14]Roel C. Klein, Florence E. van Lieshout, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruipérez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv M. Narayan, Erik J. Bekkers, Bob D. de Vos, Fleur V. Y. Tjong:
Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels. CinC 2022: 1-4 - [c13]Florence E. van Lieshout, Roel C. Klein, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruipérez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv M. Narayan, Erik J. Bekkers, Bob D. de Vos, Fleur V. Y. Tjong:
Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data. CinC 2022: 1-4 - 2021
- [c12]Özal Yildirim, Ulas Baran Baloglu, Muhammed Talo, Prasanth Ganesan, Jagteshwar S. Tung, Guson Kang, James E. Tooley, Mahmood I. Alhusseini, Tina Baykaner, Paul J. Wang, Marco V. Perez, Larisa Tereshchenko, Sanjiv M. Narayan, Albert J. Rogers:
Deep Neural Network Trained on Surface ECG Improves Diagnostic Accuracy of Prior Myocardial Infarction Over Q Wave Analysis. CinC 2021: 1-4 - [i1]Sivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer K. Antani:
Does deep learning model calibration improve performance in class-imbalanced medical image classification? CoRR abs/2110.00918 (2021)
2010 – 2019
- 2019
- [b1]Prasanth Ganesan:
Development of an Algorithm to Guide a Multi-pole Diagnostic Catheter for identifying the Location of atrial fibrillation Sources. Florida Atlantic University, Boca Raton, USA, 2019 - [c11]Prasanth Ganesan, Sivaramakrishnan Rajaraman, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani:
Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. EMBC 2019: 841-844 - [c10]Prasanth Ganesan, Zhiyun Xue, Sanjana Singh, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani:
Performance Evaluation of a Generative Adversarial Network for Deblurring Mobile-phone Cervical Images. EMBC 2019: 4487-4490 - 2018
- [c9]Prasanth Ganesan, Hussein Zilouchian, Elizabeth Cherry, Arkady M. Pertsov, Behnaz Ghoraani:
Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue. CinC 2018: 1-4 - 2017
- [c8]Prasanth Ganesan, Kristina E. Shillieto, Behnaz Ghoraani:
Simulation of Spiral Waves and Point Sources in Atrial Fibrillation with Application to Rotor Localization. CBMS 2017: 379-384 - 2016
- [c7]Prasanth Ganesan, Anthony J. Salmin, Elizabeth M. Cherry, Behnaz Ghoraani:
Development of a novel probabilistic algorithm for localization of rotors during atrial fibrillation. EMBC 2016: 493-496 - [c6]Anthony J. Salmin, Prasanth Ganesan, Kristina E. Shillieto, Elizabeth M. Cherry, David T. Huang, Arkady M. Pertsov, Behnaz Ghoraani:
A novel catheter-guidance algorithm for localization of atrial fibrillation rotor and focal sources. EMBC 2016: 501-504 - [c5]Kristina E. Shillieto, Prasanth Ganesan, Anthony J. Salmin, Elizabeth M. Cherry, Arkady M. Pertsov, Behnaz Ghoraani:
Catheter simulator software tool to generate electrograms of any multi-polar diagnostic catheter from 3D atrial tissue. EMBC 2016: 2741-2744
2000 – 2009
- 2004
- [c4]Prasanth Ganesan, Alexander G. Dean:
Enhancing the AvrX Kernel with Efficient Secure Communication Using Software Thread Integration. IEEE Real-Time and Embedded Technology and Applications Symposium 2004: 265-275 - 2003
- [c3]Ramnath Venugopalan, Prasanth Ganesan, Pushkin Peddabachagari, Alexander G. Dean, Frank Mueller, Mihail L. Sichitiu:
Encryption overhead in embedded systems and sensor network nodes: modeling and analysis. CASES 2003: 188-197 - [c2]Prasanth Ganesan, Ramnath Venugopalan, Pushkin Peddabachagari, Alexander G. Dean, Frank Mueller, Mihail L. Sichitiu:
Analyzing and modeling encryption overhead for sensor network nodes. WSNA 2003: 151-159 - 2002
- [c1]Gopal Srinivasa, Prasanth Ganesan:
Pair Programming: Addressing Key Process Areas of the People-CMM. XP/Agile Universe 2002: 221-230
Coauthor Index
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