Mrinal Kanti Dhar

According to our database, Mrinal Kanti Dhar authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Novel 3D Convolutional Neural Network-Based Deep Learning Model for Spatiotemporal Feature Mapping for Video Analysis: Feasibility Study for Gastrointestinal Endoscopic Video Classification.

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

J. Imaging, 2025

2024

Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study.

Mrinal Kanti Dhar, Chuanbo Wang, Yash Patel, Taiyu Zhang, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Keke Chen, Zeyun Yu

CoRR, 2024

FUSegNet: A deep convolutional neural network for foot ulcer segmentation.

Mrinal Kanti Dhar, Taiyu Zhang, Yash Patel, Sandeep Gopalakrishnan, Zeyun Yu

Biomed. Signal Process. Control., 2024

2023

A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-rays.

Mrinal Kanti Dhar, Mou Deb, D. Madhab, Zeyun Yu

CoRR, 2023

Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach.

Yash Patel, Tirth Shah, Mrinal Kanti Dhar, Taiyu Zhang, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu

CoRR, 2023

FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation.

Mrinal Kanti Dhar, Taiyu Zhang, Yash Patel, Zeyun Yu

CoRR, 2023

2022

S-R2F2U-Net: A single-stage model for teeth segmentation.

Mrinal Kanti Dhar, Zeyun Yu

CoRR, 2022

2021

Automatic tracing of mandibular canal pathways using deep learning.

Mrinal Kanti Dhar, Zeyun Yu

CoRR, 2021

2020

Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks.

Chuanbo Wang, D. M. Anisuzzaman, Victor Williamson, Mrinal Kanti Dhar, Behrouz Rostami, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu

CoRR, 2020