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ORCIDKeerthy Gopalakrishnan
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2020 – today
- 2023
[j4]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:
Practicing Digital Gastroenterology through Phonoenterography Leveraging Artificial Intelligence: Future Perspectives Using Microwave Systems. Sensors 23(4): 2302 (2023)- [j3]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:
Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging. Sensors 23(12): 5514 (2023) - [j2]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:
Estimation of Physiologic Pressures: Invasive and Non-Invasive Techniques, AI Models, and Future Perspectives. Sensors 23(12): 5744 (2023) - [c5]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 - [c4]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:
On the Diagnosis of Nonalcoholic Steatohepatitis Using Dielectric Properties: Feasibility in Mouse Model. eIT 2023: 649-654 - [c3]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
- [j1]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:
Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity. Sensors 22(24): 9919 (2022) - [c2]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 - [c1]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:
Multiclass Classification of Nonalcoholic Steatohepatitis Mouse Models Using Dielectric Properties as Disease Biomarker. BIBM 2022: 3137-3143
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