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Shivaram Poigai Arunachalam
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2020 – today
- 2024
- [j8]Yu Shu
, Tianqi Gao Smith, Shivaram Poigai Arunachalam
Image-Decomposition-Enhanced Deep Learning for Detection of Rotor Cores in Cardiac Fibrillation. IEEE Trans. Biomed. Eng. 71(1): 68-76 (2024) - 2023
- [j7]Mansunderbir Singh, Priyanka Anvekar, Bhavana Baraskar, Namratha Pallipamu, Srikanth Gadam
Prospective of Pancreatic Cancer Diagnosis Using Cardiac Sensing. J. Imaging 9(8): 149 (2023) - [j6]Renisha Redij, Avneet Kaur
Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems. Sensors 23(4): 2302 (2023) - [j5]Arshia K. Sethi
Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging. Sensors 23(12): 5514 (2023) - [j4]Sharanya Manga, Neha Muthavarapu, Renisha Redij, Bhavana Baraskar, Avneet Kaur
Estimation of Physiologic Pressures: Invasive and Non-Invasive Techniques, AI Models, and Future Perspectives. Sensors 23(12): 5744 (2023) - [c19]Ankita Sethi, Shivam Damani, Arshia K. Sethi, Anjali Rajagopal, Keerthy Gopalakrishnan, Akhila Sai Sree Cherukuri, Shivaram Poigai Arunachalam:
Gastrointestinal Endoscopic Image Classification using a Novel Wavelet Decomposition Based Deep Learning Algorithm. eIT 2023: 616-621 - [c18]Akhila Sai Sree Cherukuri, Poulami Samaddar, Alejos Aguero Carlos, Keerthy Gopalakrishnan, Sunil Gaddam, Lucia T. Valenzuela Perez, Hyun Se Kim Lee
On the Diagnosis of Nonalcoholic Steatohepatitis Using Dielectric Properties: Feasibility in Mouse Model. eIT 2023: 649-654 - [c17]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:
Endoscopic Image Enhanced Deep Learning Algorithm for Inflammatory Bowel Disease (IBD) Polyp Detection: Feasibility Study. eIT 2023: 655-659 - 2022
- [j3]David Chen
Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. J. Imaging 8(5): 149 (2022) - [j2]Poulami Samaddar
Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity. Sensors 22(24): 9919 (2022) - [c16]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:
Deep Learning Based Classiftcation of Normal and Hepatic Fibrosis Mouse Model Using Digital Pathology Images. BIBM 2022: 2308-2313 - [c15]Poulami Samaddar, Poushali Samadder, Bhavana Baraskar, Priyanka Anvekar, Shalil Khanal, Sunil Gaddam
Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties. BIBM 2022: 2696-2703 - [c14]Poulami Samaddar, Keerthy Gopalakrishnan, Priyanka Anvekar, Poushali Samadder, Ivone Cristina Igreja E. Sa, Rachel Bayer, Sunil Gaddam
Multiclass Classification of Nonalcoholic Steatohepatitis Mouse Models Using Dielectric Properties as Disease Biomarker. BIBM 2022: 3137-3143 - [c13]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:
Biventricular Involvement In Hypertrophic Cardiomyopathy: Preliminary Analysis Of Cardiac MRIs With Visual Right Ventricular Hypertrophy. ICHI 2022: 134-137 - 2021
- [c12]Moein Enayati, Nasibeh Zanjirani Farahani
Incorporating RTLS-Based Spatiotemporal Information in Studying Physical Activities of Clinical Staff*. EMBC 2021: 2386-2391 - 2020
- [c11]Nasibeh Zanjirani Farahani
Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes. BIBM 2020: 1932-1937
2010 – 2019
- 2019
- [c10]Divaakar Siva Baala Sundaram, Suganti Shivaram, Rogith Balasubramani, Anjani Muthyala, Shivaram Poigai Arunachalam:
Discriminating Normal Phonocardiogram From Artifact Using a Multiscale Entropy Technique. EIT 2019: 542-545 - [c9]Shivaram Poigai Arunachalam, Onur Asan, David M. Nestler, Heather A. Heaton, Thomas R. Hellmich, Phichet Wutthisirisart, Gomathi Marisamy, Kalyan S. Pasupathy, Mustafa Y. Sir:
Patient-Care Team Contact Patterns Impact Treatment Length of Stay in the Emergency Department. EMBC 2019: 345-348 - 2018
- [j1]Elizabeth M. Annoni
Novel Quantitative Analytical Approaches for Rotor Identification and Associated Implications for Mapping. IEEE Trans. Biomed. Eng. 65(2): 273-281 (2018) - [c8]Divaakar Siva Baala Sundaram, Rogith Balasubramani, Suganti Shivaram, Anjani Muthyala, Shivaram Poigai Arunachalam:
Single Lead ECG Discrimination Between Normal Sinus Rhythm and Sleep Apnea with Intrinsic Mode Function Complexity Index Using Empirical Mode Decomposition. EIT 2018: 719-722 - [c7]Suganti Shivaram, Divaakar Siva Baala Sundaram, Rogith Balasubramani, Anjani Muthyala, Shivaram Poigai Arunachalam:
Intrinsic Mode Function Complexity Index Using Empirical Mode Decomposition discriminates Normal Sinus Rhythm and Atrial Fibrillation on a Single Lead ECG. EMBC 2018: 5990-5993 - 2017
- [c6]Shivaram Poigai Arunachalam
Identifying factors influencing patient alone time at the emergency department using RFID data: What is next? BHI 2017: 225-228 - [c5]Divaakar Siva Baala Sundaram, Shivaram Poigai Arunachalam
Improving workload management for reducing readmissions and follow-up visits in outpatient practice using a novel application - Cohort Knowledge Solutions (CKS). EIT 2017: 134-137 - 2016
- [c4]Shivaram Poigai Arunachalam
Kurtosis as a statistical approach to identify the pivot point of the rotor. EMBC 2016: 497-500 - [c3]Shivaram Poigai Arunachalam
Linking Patient Alone Time and Provider Time to Staffing Levels and LOS at the Emergency Department: A RFID Based Study. ICHI 2016: 102-105 - 2015
- [c2]Shivaram Poigai Arunachalam
Feasibility of visualizing higher regions of Shannon entropy in atrial fibrillation patients. EMBC 2015: 4499-4502 - 2012
- [c1]Cristian A. Linte, Maryam E. Rettmann, Ben Dilger, Mia S. Gunawan, Shivaram Poigai Arunachalam, David R. Holmes III, Douglas L. Packer, Richard A. Robb:
Calibration and evaluation of a magnetically tracked ICE probe for guidance of left atrial ablation therapy. Image-Guided Procedures 2012: 83162P
Coauthor Index
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last updated on 2024-11-28 21:28 CET by the dblp team
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