Calibration and evaluation of a magnetically tracked ICE probe for guidance of left atrial ablation therapy. - Cristian A. Linte; Maryam E. Rettmann; Ben Dilger; Mia S. Gunawan; Shivaram Poigai Arunachalam; David R. Holmes III; Douglas L. Packer; Richard A. Robb (Image-Guided Procedures, 2012)

Feasibility of visualizing higher regions of Shannon entropy in atrial fibrillation patients. - Shivaram Poigai Arunachalam; Siva K. Mulpuru; Paul A. Friedman; Elena G. Tolkacheva (EMBC, 2015)

Kurtosis as a statistical approach to identify the pivot point of the rotor. - Shivaram Poigai Arunachalam; Elizabeth M. Annoni; Siva K. Mulpuru; Paul A. Friedman; Elena G. Tolkacheva (EMBC, 2016)

Linking Patient Alone Time and Provider Time to Staffing Levels and LOS at the Emergency Department: A RFID Based Study. - Shivaram Poigai Arunachalam; Gomathi Marisamy; Mustafa Y. Sir; David M. Nestler; Thomas R. Hellmich; Kalyan S. Pasupathy (ICHI, 2016)

Identifying factors influencing patient alone time at the emergency department using RFID data: What is next? - Shivaram Poigai Arunachalam; Mustafa Y. Sir; Gomathi Marisamy; Annie Sadosty; David M. Nestler; Thomas R. Hellmich; Kalyan S. Pasupathy (BHI, 2017)

Improving workload management for reducing readmissions and follow-up visits in outpatient practice using a novel application - Cohort Knowledge Solutions (CKS). - Divaakar Siva Baala Sundaram; Shivaram Poigai Arunachalam; Tiffany M. Berg; Carolyn M. Devens; Laurie L. Bicknese; Beena A. Thattil; Praveen K. Ramu; Rajeev Chaudhry (EIT, 2017)

Single Lead ECG Discrimination Between Normal Sinus Rhythm and Sleep Apnea with Intrinsic Mode Function Complexity Index Using Empirical Mode Decomposition. - Divaakar Siva Baala Sundaram; Rogith Balasubramani; Suganti Shivaram; Anjani Muthyala; Shivaram Poigai Arunachalam (EIT, 2018)

Intrinsic Mode Function Complexity Index Using Empirical Mode Decomposition discriminates Normal Sinus Rhythm and Atrial Fibrillation on a Single Lead ECG. - Suganti Shivaram; Divaakar Siva Baala Sundaram; Rogith Balasubramani; Anjani Muthyala; Shivaram Poigai Arunachalam (EMBC, 2018)

Novel Quantitative Analytical Approaches for Rotor Identification and Associated Implications for Mapping. - Elizabeth M. Annoni; Shivaram Poigai Arunachalam; Suraj Kapa; Siva K. Mulpuru; Paul A. Friedman; Elena G. Tolkacheva (IEEE Trans. Biomed. Eng., 2018)

Discriminating Normal Phonocardiogram From Artifact Using a Multiscale Entropy Technique. - Divaakar Siva Baala Sundaram; Suganti Shivaram; Rogith Balasubramani; Anjani Muthyala; Shivaram Poigai Arunachalam (EIT, 2019)

Patient-Care Team Contact Patterns Impact Treatment Length of Stay in the Emergency Department. - Shivaram Poigai Arunachalam; Onur Asan; David M. Nestler; Heather A. Heaton; Thomas R. Hellmich; Phichet Wutthisirisart; Gomathi Marisamy; Kalyan S. Pasupathy; Mustafa Y. Sir (EMBC, 2019)

Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes. - Nasibeh Zanjirani Farahani; Divaakar Siva Baala Sundaram; Moein Enayati; Shivaram Poigai Arunachalam; Kalyan S. Pasupathy; Adelaide M. Arruda-Olson (BIBM, 2020)

Incorporating RTLS-Based Spatiotemporal Information in Studying Physical Activities of Clinical Staff*. - Moein Enayati; Nasibeh Zanjirani Farahani; Alisha P. Chaudhry; Anoushka Kapoor; Shivaram Poigai Arunachalam; Laura E. Walker; David M. Nestler; Kalyan S. Pasupathy (EMBC, 2021)

Deep Learning Based Classiftcation of Normal and Hepatic Fibrosis Mouse Model Using Digital Pathology Images. - Ayesha Kousar; Shivam Damani; Priyanka Anvekar; Arush Rajotia; Keerthy Gopalakrishnan; Bhavana Baraskar; Vaishnavi K. Modi; Keirthana Aedma; Joshika Agarwal; Hima Varsha Voruganti; Mansunderbir Singh; Enis Kostallari; et al. (BIBM, 2022)

Multiclass Classification of Nonalcoholic Steatohepatitis Mouse Models Using Dielectric Properties as Disease Biomarker. - Poulami Samaddar; Keerthy Gopalakrishnan; Priyanka Anvekar; Poushali Samadder; Ivone Cristina Igreja E. Sa; Rachel Bayer; Sunil Gaddam; Dipankar Mitra; Sayan Roy; Petra Hirsova; Shivaram Poigai Arunachalam (BIBM, 2022)

Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties. - Poulami Samaddar; Poushali Samadder; Bhavana Baraskar; Priyanka Anvekar; Shalil Khanal; Sunil Gaddam; Sayan Roy; Dipankar Mitra; Enis Kostallari; Shivaram Poigai Arunachalam (BIBM, 2022)

Biventricular Involvement In Hypertrophic Cardiomyopathy: Preliminary Analysis Of Cardiac MRIs With Visual Right Ventricular Hypertrophy. - Devanshi N. Damani; Anoushka Kapoor; Priyadharshini Sivasubramaniam; Nasibeh Farahani; Moein Enayati; Jeffrey B. Geske; Michael J. Ackerman; Johan M. Bos; Kalyan Pasupathy; Philip A. Araoz; Shivaram Poigai Arunachalam; Adelaide M. Arruda-Olson (ICHI, 2022)

Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. - David Chen 003; Huzefa M. Bhopalwala; Nakeya Dewaswala; Shivaram Poigai Arunachalam; Moein Enayati; Nasibeh Zanjirani Farahani; Kalyan Pasupathy; Sravani Lokineni; J. Martijn Bos; Peter A. Noseworthy; Reza Arsanjani; Bradley J. Erickson; et al. (J. Imaging, 2022)

Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity. - Poulami Samaddar; Anup K. Mishra; Sunil Gaddam; Mansunderbir Singh; Vaishnavi K. Modi; Keerthy Gopalakrishnan; Rachel L. Bayer; Ivone Cristina Igreja Sa; Shalil Khanal; Petra Hirsova; Enis Kostallari; Shuvashis Dey; et al. (Sensors, 2022)

On the Diagnosis of Nonalcoholic Steatohepatitis Using Dielectric Properties: Feasibility in Mouse Model. - Akhila Sai Sree Cherukuri; Poulami Samaddar; Alejos Aguero Carlos; Keerthy Gopalakrishnan; Sunil Gaddam; Lucia T. Valenzuela Perez; Hyun Se Kim Lee; Shuvashis Dey; Sayan Roy; Dipankar Mitra; Petra Hirsova; Shivaram Poigai Arunachalam (eIT, 2023)

Endoscopic Image Enhanced Deep Learning Algorithm for Inflammatory Bowel Disease (IBD) Polyp Detection: Feasibility Study. - Jeffrey R. Fetzer; Renisha Redij; Joshika Agarwal; Anjali Rajagopal; Keerthy Gopalakrishnan; Akhila Sai Sree Cherukuri; John League; Daniela Guerrero Vinsard; Cadman L. Leggett; Coelho-Prabhu Nayantara; Shivaram Poigai Arunachalam (eIT, 2023)

Gastrointestinal Endoscopic Image Classification using a Novel Wavelet Decomposition Based Deep Learning Algorithm. - Ankita Sethi; Shivam Damani; Arshia K. Sethi; Anjali Rajagopal; Keerthy Gopalakrishnan; Akhila Sai Sree Cherukuri; Shivaram Poigai Arunachalam (eIT, 2023)

Prospective of Pancreatic Cancer Diagnosis Using Cardiac Sensing. - Mansunderbir Singh; Priyanka Anvekar; Bhavana Baraskar; Namratha Pallipamu; Srikanth Gadam; Akhila Sai Sree Cherukuri; Devanshi N. Damani; Kanchan Kulkarni; Shivaram Poigai Arunachalam (J. Imaging, 2023)

Estimation of Physiologic Pressures: Invasive and Non-Invasive Techniques, AI Models, and Future Perspectives. - Sharanya Manga; Neha Muthavarapu; Renisha Redij; Bhavana Baraskar; Avneet Kaur; Sunil Gaddam; Keerthy Gopalakrishnan; Rutuja Shinde; Anjali Rajagopal; Poulami Samaddar; Devanshi N. Damani; Suganti Shivaram; et al. (Sensors, 2023)

Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging. - Arshia K. Sethi; Pratyusha Muddaloor; Priyanka Anvekar; Joshika Agarwal; Anmol Mohan; Mansunderbir Singh; Keerthy Gopalakrishnan; Ashima Yadav; Aakriti Adhikari; Devanshi N. Damani; Kanchan Kulkarni; Christopher A. Aakre; et al. (Sensors, 2023)

Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems. - Renisha Redij; Avneet Kaur; Pratyusha Muddaloor; Arshia K. Sethi; Keirthana Aedma; Anjali Rajagopal; Keerthy Gopalakrishnan; Ashima Yadav; Devanshi N. Damani; Victor G. Chedid; Xiao Jing Wang; Christopher A. Aakre; et al. (Sensors, 2023)

Image-Decomposition-Enhanced Deep Learning for Detection of Rotor Cores in Cardiac Fibrillation. - Yu Shu; Tianqi Gao Smith; Shivaram Poigai Arunachalam; Elena G. Tolkacheva; Changqing Cheng (IEEE Trans. Biomed. Eng., 2024)