Shivaram Poigai Arunachalam

29 papers Journal 10Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Novel 3D Convolutional Neural Network-Based Deep Learning Model for Spatiotemporal Feature Mapping for Video Analysis: Feasibility Study for Gastrointestinal Endoscopic Video Classification. J. Imaging Mrinal Kanti Dhar, Mou Deb, Poonguzhali Elangovan, Keerthy Gopalakrishnan, Divyanshi Sood, Avneet Kaur, Charmy Parikh, Swetha Rapolu, Gianeshwaree Alias Rachna Panjwani, Rabiah Aslam Ansari, Naghmeh Asadimanesh, Shiva Sankari Karuppiah, Scott A. Helgeson, Venkata S. Akshintala, Shivaram Poigai Arunachalam
2025	J	`jnl`	Empirical Mode Decomposition-Based Deep Learning Model Development for Medical Imaging: Feasibility Study for Gastrointestinal Endoscopic Image Classification. J. Imaging Mou Deb, Mrinal Kanti Dhar, Poonguzhali Elangovan, Keerthy Gopalakrishnan, Divyanshi Sood, Aaftab Sethi, Sabah Afroze, Sourav Bansal, Aastha Goudel, Charmy Parikh, Avneet Kaur, Swetha Rapolu, Gianeshwaree Alias Rachna Panjwani, Rabiah Aslam Ansari, Naghmeh Asadimanesh, Shiva Sankari Karuppiah, Scott A. Helgeson, Venkata S. Akshintala, Shivaram Poigai Arunachalam
2024	J	`jnl`	Image-Decomposition-Enhanced Deep Learning for Detection of Rotor Cores in Cardiac Fibrillation. IEEE Trans. Biomed. Eng. Yu Shu, Tianqi Gao Smith, Shivaram Poigai Arunachalam, Elena G. Tolkacheva, Changqing Cheng
2023	J	`jnl`	Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging. Sensors 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, Alexander J. Ryu, Vivek N. Iyer, Shivaram Poigai Arunachalam
2023	—	`conf`	Endoscopic Image Enhanced Deep Learning Algorithm for Inflammatory Bowel Disease (IBD) Polyp Detection: Feasibility Study. eIT 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
2023	J	`jnl`	Estimation of Physiologic Pressures: Invasive and Non-Invasive Techniques, AI Models, and Future Perspectives. Sensors 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, Shuvashis Dey, Dipankar Mitra, Sayan Roy, Kanchan Kulkarni, Shivaram Poigai Arunachalam
2023	—	`conf`	Gastrointestinal Endoscopic Image Classification using a Novel Wavelet Decomposition Based Deep Learning Algorithm. eIT Ankita Sethi, Shivam Damani, Arshia K. Sethi, Anjali Rajagopal, Keerthy Gopalakrishnan, Akhila Sai Sree Cherukuri, Shivaram Poigai Arunachalam
2023	—	`conf`	On the Diagnosis of Nonalcoholic Steatohepatitis Using Dielectric Properties: Feasibility in Mouse Model. eIT 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
2023	J	`jnl`	Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems. Sensors 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, Alexander J. Ryu, Shivaram Poigai Arunachalam
2023	J	`jnl`	Prospective of Pancreatic Cancer Diagnosis Using Cardiac Sensing. J. Imaging Mansunderbir Singh, Priyanka Anvekar, Bhavana Baraskar, Namratha Pallipamu, Srikanth Gadam, Akhila Sai Sree Cherukuri, Devanshi N. Damani, Kanchan Kulkarni, Shivaram Poigai Arunachalam
2022	—	`conf`	Biventricular Involvement In Hypertrophic Cardiomyopathy: Preliminary Analysis Of Cardiac MRIs With Visual Right Ventricular Hypertrophy. ICHI 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
2022	—	`conf`	Deep Learning Based Classiftcation of Normal and Hepatic Fibrosis Mouse Model Using Digital Pathology Images. BIBM 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, Shivaram Poigai Arunachalam
2022	J	`jnl`	Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. J. Imaging David Chen, 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, Jeffrey B. Geske, Michael J. Ackerman, Philip A. Araoz, Adelaide M. Arruda-Olson
2022	—	`conf`	Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties. BIBM Poulami Samaddar, Poushali Samadder, Bhavana Baraskar, Priyanka Anvekar, Shalil Khanal, Sunil Gaddam, Sayan Roy, Dipankar Mitra, Enis Kostallari, Shivaram Poigai Arunachalam
2022	J	`jnl`	Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity. Sensors 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, Dipankar Mitra, Sayan Roy, Shivaram Poigai Arunachalam
2022	—	`conf`	Multiclass Classification of Nonalcoholic Steatohepatitis Mouse Models Using Dielectric Properties as Disease Biomarker. BIBM 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
2021	—	`conf`	Incorporating RTLS-Based Spatiotemporal Information in Studying Physical Activities of Clinical Staff EMBC Moein Enayati, Nasibeh Zanjirani Farahani, Alisha P. Chaudhry, Anoushka Kapoor, Shivaram Poigai Arunachalam, Laura E. Walker, David M. Nestler, Kalyan S. Pasupathy
2020	—	`conf`	Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes. BIBM Nasibeh Zanjirani Farahani, Divaakar Siva Baala Sundaram, Moein Enayati, Shivaram Poigai Arunachalam, Kalyan S. Pasupathy, Adelaide M. Arruda-Olson
2019	—	`conf`	Discriminating Normal Phonocardiogram From Artifact Using a Multiscale Entropy Technique. EIT Divaakar Siva Baala Sundaram, Suganti Shivaram, Rogith Balasubramani, Anjani Muthyala, Shivaram Poigai Arunachalam
2019	—	`conf`	Patient-Care Team Contact Patterns Impact Treatment Length of Stay in the Emergency Department. EMBC Shivaram Poigai Arunachalam, Onur Asan, David M. Nestler, Heather A. Heaton, Thomas R. Hellmich, Phichet Wutthisirisart, Gomathi Marisamy, Kalyan S. Pasupathy, Mustafa Y. Sir
2018	—	`conf`	Intrinsic Mode Function Complexity Index Using Empirical Mode Decomposition discriminates Normal Sinus Rhythm and Atrial Fibrillation on a Single Lead ECG. EMBC Suganti Shivaram, Divaakar Siva Baala Sundaram, Rogith Balasubramani, Anjani Muthyala, Shivaram Poigai Arunachalam
2018	J	`jnl`	Novel Quantitative Analytical Approaches for Rotor Identification and Associated Implications for Mapping. IEEE Trans. Biomed. Eng. Elizabeth M. Annoni, Shivaram Poigai Arunachalam, Suraj Kapa, Siva K. Mulpuru, Paul A. Friedman, Elena G. Tolkacheva
2018	—	`conf`	Single Lead ECG Discrimination Between Normal Sinus Rhythm and Sleep Apnea with Intrinsic Mode Function Complexity Index Using Empirical Mode Decomposition. EIT Divaakar Siva Baala Sundaram, Rogith Balasubramani, Suganti Shivaram, Anjani Muthyala, Shivaram Poigai Arunachalam
2017	—	`conf`	Identifying factors influencing patient alone time at the emergency department using RFID data: What is next? BHI Shivaram Poigai Arunachalam, Mustafa Y. Sir, Gomathi Marisamy, Annie Sadosty, David M. Nestler, Thomas R. Hellmich, Kalyan S. Pasupathy
2017	—	`conf`	Improving workload management for reducing readmissions and follow-up visits in outpatient practice using a novel application - Cohort Knowledge Solutions (CKS). EIT Divaakar Siva Baala Sundaram, Shivaram Poigai Arunachalam, Tiffany M. Berg, Carolyn M. Devens, Laurie L. Bicknese, Beena A. Thattil, Praveen K. Ramu, Rajeev Chaudhry
2016	—	`conf`	Kurtosis as a statistical approach to identify the pivot point of the rotor. EMBC Shivaram Poigai Arunachalam, Elizabeth M. Annoni, Siva K. Mulpuru, Paul A. Friedman, Elena G. Tolkacheva
2016	—	`conf`	Linking Patient Alone Time and Provider Time to Staffing Levels and LOS at the Emergency Department: A RFID Based Study. ICHI Shivaram Poigai Arunachalam, Gomathi Marisamy, Mustafa Y. Sir, David M. Nestler, Thomas R. Hellmich, Kalyan S. Pasupathy
2015	—	`conf`	Feasibility of visualizing higher regions of Shannon entropy in atrial fibrillation patients. EMBC Shivaram Poigai Arunachalam, Siva K. Mulpuru, Paul A. Friedman, Elena G. Tolkacheva
2012	—	`conf`	Calibration and evaluation of a magnetically tracked ICE probe for guidance of left atrial ablation therapy. Image-Guided Procedures Cristian A. Linte, Maryam E. Rettmann, Ben Dilger, Mia S. Gunawan, Shivaram Poigai Arunachalam, David R. Holmes III, Douglas L. Packer, Richard A. Robb