Akhila Sai Sree Cherukuri

According to our database, Akhila Sai Sree Cherukuri authored at least 4 papers in 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

Proceedings of the IEEE International Conference on Electro Information Technology, 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

Proceedings of the IEEE International Conference on Electro Information Technology, 2023

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

Proceedings of the IEEE International Conference on Electro Information Technology, 2023