Pair Programming: Addressing Key Process Areas of the People-CMM. - Gopal Srinivasa; Prasanth Ganesan (XP/Agile Universe, 2002)

Encryption overhead in embedded systems and sensor network nodes: modeling and analysis. - Ramnath Venugopalan; Prasanth Ganesan; Pushkin Peddabachagari; Alexander G. Dean; Frank Mueller 001; Mihail L. Sichitiu (CASES, 2003)

Analyzing and modeling encryption overhead for sensor network nodes. - Prasanth Ganesan; Ramnath Venugopalan; Pushkin Peddabachagari; Alexander G. Dean; Frank Mueller 001; Mihail L. Sichitiu (WSNA, 2003)

Enhancing the AvrX Kernel with Efficient Secure Communication Using Software Thread Integration. - Prasanth Ganesan; Alexander G. Dean (IEEE Real-Time and Embedded Technology and Applications Symposium, 2004)

Development of a novel probabilistic algorithm for localization of rotors during atrial fibrillation. - Prasanth Ganesan; Anthony J. Salmin; Elizabeth M. Cherry; Behnaz Ghoraani (EMBC, 2016)

A novel catheter-guidance algorithm for localization of atrial fibrillation rotor and focal sources. - Anthony J. Salmin; Prasanth Ganesan; Kristina E. Shillieto; Elizabeth M. Cherry; David T. Huang; Arkady M. Pertsov; Behnaz Ghoraani (EMBC, 2016)

Catheter simulator software tool to generate electrograms of any multi-polar diagnostic catheter from 3D atrial tissue. - Kristina E. Shillieto; Prasanth Ganesan; Anthony J. Salmin; Elizabeth M. Cherry; Arkady M. Pertsov; Behnaz Ghoraani (EMBC, 2016)

Simulation of Spiral Waves and Point Sources in Atrial Fibrillation with Application to Rotor Localization. - Prasanth Ganesan; Kristina E. Shillieto; Behnaz Ghoraani (CBMS, 2017)

Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue. - Prasanth Ganesan; Hussein Zilouchian; Elizabeth Cherry; Arkady M. Pertsov; Behnaz Ghoraani (CinC, 2018)

Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. - Prasanth Ganesan; Sivaramakrishnan Rajaraman; L. Rodney Long; Behnaz Ghoraani; Sameer K. Antani (EMBC, 2019)

Performance Evaluation of a Generative Adversarial Network for Deblurring Mobile-phone Cervical Images. - Prasanth Ganesan; Zhiyun Xue; Sanjana Singh; L. Rodney Long; Behnaz Ghoraani; Sameer K. Antani (EMBC, 2019)

Development of an Algorithm to Guide a Multi-pole Diagnostic Catheter for identifying the Location of atrial fibrillation Sources. - Prasanth Ganesan (2019)

Deep Neural Network Trained on Surface ECG Improves Diagnostic Accuracy of Prior Myocardial Infarction Over Q Wave Analysis. - 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; et al. (CinC, 2021)

Does deep learning model calibration improve performance in class-imbalanced medical image classification? - Sivaramakrishnan Rajaraman; Prasanth Ganesan; Sameer K. Antani (CoRR, 2021)

Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels. - 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; et al. (CinC, 2022)

Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data. - 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; et al. (CinC, 2022)

Atrial fibrillation signatures on intracardiac electrograms identified by deep learning. - Miguel Rodrigo; Mahmood I. Alhusseini; Albert J. Rogers; Chayakrit Krittanawong; Sumiran Thakur; Ruibin Feng; Prasanth Ganesan; Sanjiv M. Narayan (Comput. Biol. Medicine, 2022)

Defining the Predictive Ceiling of Electrogram Features Alone for Predicting Outcomes From Atrial Fibrillation Ablation. - 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 (CinC, 2023)

Can Generative AI Learn Physiological Waveform Morphologies? A Study on Denoising Intracardiac Signals in Ischemic Cardiomyopathy. - Samuel Ruipérez-Campillo; Alain Ryser; Thomas M. Sutter; Ruibin Feng; Prasanth Ganesan; Brototo Deb; Kelly A. Brennan; Maarten Z. Kolk; Fleur V. Y. Tjong; Albert J. Rogers; Sanjiv M. Narayan; Julia E. Vogt (EMBC, 2024)

A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy. - Samuel Ruipérez-Campillo; Alain Ryser; Thomas M. Sutter; Ruibin Feng; Prasanth Ganesan; Brototo Deb; Kelly A. Brennan; Maxime Pedron; Albert J. Rogers; Maarten Z. Kolk; Fleur V. Y. Tjong; Sanjiv M. Narayan; et al. (CoRR, 2025)