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Dhar MK, Deb M, Elangovan P, Gopalakrishnan K, Sood D, Kaur A, Parikh C, Rapolu S, Panjwani GAR, Ansari RA, et al. A Novel 3D Convolutional Neural Network-Based Deep Learning Model for Spatiotemporal Feature Mapping for Video Analysis: Feasibility Study for Gastrointestinal Endoscopic Video Classification. Journal of Imaging. 2025; 11(7):243. https://doi.org/10.3390/jimaging11070243

Dhar, Mrinal Kanti, Mou Deb, Poonguzhali Elangovan, Keerthy Gopalakrishnan, Divyanshi Sood, Avneet Kaur, Charmy Parikh, Swetha Rapolu, Gianeshwaree Alias Rachna Panjwani, Rabiah Aslam Ansari, and et al. 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" Journal of Imaging 11, no. 7: 243. https://doi.org/10.3390/jimaging11070243

Dhar, M. K., Deb, M., Elangovan, P., Gopalakrishnan, K., Sood, D., Kaur, A., Parikh, C., Rapolu, S., Panjwani, G. A. R., Ansari, R. A., Asadimanesh, N., Karuppiah, S. S., Helgeson, S. A., Akshintala, V. S., & Arunachalam, S. P. (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. Journal of Imaging, 11(7), 243. https://doi.org/10.3390/jimaging11070243