Journals:

[1]. Achara, Akshit, and Ram Krishna Pandey. "Revealing the Underlying Patterns: Investigating Dataset Similarity, Performance, and Generalization." 

Neurocomputing (2023).

[2]. Ram Krishna Pandey, and Akshit Achara. "TrueDeep: A systematic approach of crack detection with less data." Expert Systems with Applications (2023): 122785.

[3]. Ashe, J, John Graf, Radhika M, Kirk W, Victoria C, S Abate, Ram Krishna Pandey et al. "Investigation of liver-targeted peripheral Focused Ultrasound Stimulation (pFUS) and its effect on glucose homeostasis and insulin resistance in Type 2 Diabetes Mellitus: a proof of concept, Phase 1 Trial." QJM: An International Journal of Medicine (2023): hcad098. 

[4]. Ram Krishna Pandey, and Ramakrishnan Angarai Ganesan. "DeepInterpolation: fusion of multiple interpolations and CNN to obtain super‐resolution." IET Image Processing 14, no. 15 (2020): 4000-4011.

[5]. Ram Krishna Pandey, and A. G. Ramakrishnan. "Efficient document-image super-resolution using convolutional neural network." Sādhanā 43 (2018): 1-6 

Conferences:

[1]. Ram Krishna Pandey, and Akshit Achara. "CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity." arXiv preprint arXiv:2209.04648 (2022).

[2]. Ram Krishna Pandey, A. G. Ramakrishnan, and Souvik Karmakar. "Effects of modifying the input features and the loss function on improving emotion classification." In TENCON 2019-2019 IEEE Region 10 Conference (TENCON), pp. 1159-1162. IEEE, 2019.

[3]. Ram Krishna Pandey, Souvik Karmakar, A. G. Ramakrishnan, and Nabagata Saha. "Improving facial emotion recognition systems with crucial feature extractors." In Image Analysis and Processing–ICIAP 2019: 20th International Conference, Trento, Italy, September 9–13, 2019, Proceedings, Part I 20, pp. 268-279. Springer International Publishing, 2019.

[4]. Ram Krishna Pandey, Harpreet Singh, and A. G. Ramakrishnan. "Improvement of image denoising algorithms by preserving the edges." In Computer Analysis of Images and Patterns: 18th International Conference, CAIP 2019, Salerno, Italy, September 3–5, 2019, Proceedings, Part II 18, pp. 496-506. Springer International Publishing, 2019. 

[5]. Ram Krishna Pandey, and A. G. Ramakrishnan. "Improving the perceptual quality of document images using deep neural network." In Advances in Neural Networks–ISNN 2019: 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II 16, pp. 448-459. Springer International Publishing, 2019.

[6]. Ram Krishna Pandey, Nabagata Saha, Samarjit Karmakar, and A. G. Ramakrishnan. "MSCE: An edge-preserving robust loss function for improving super-resolution algorithms." In Neural Information Processing: 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part VI 25, pp. 566-575. Springer International Publishing, 2018.

[7]. Ram Krishna Pandey, Samarjit Karmakar, and A. G. Ramakrishnan. "Computationally efficient approaches for image style transfer." In 2018 15th IEEE India Council International Conference (INDICON), pp. 1-6. IEEE, 2018.

[8]. Ram Krishna Pandey, Shishira R. Maiya, and A. G. Ramakrishnan. "A new approach for upscaling document images for improving their quality." In 2017 14th IEEE India Council International Conference (INDICON), pp. 1-6. IEEE, 2017.

Abstract:

[1]. Ashe, J, John Graf, Radhika M, Kirk W, Victoria C, S Abate, Ram Krishna Pandey et al. "The Fifth Bioelectronic Medicine Summit." PNAS 118 (2021): 1-9.

Patent: 

[1]. Ram Krishna Pandey, A G Ramakrishnan, "Device and method for enhancing readability of a low-resolution binary image."  

Technical reports: 

[1]. Ram Krishna Pandey, Souvik Karmakar, A. G. Ramakrishnan, and Nabagata Saha. "Improving facial emotion recognition systems using gradient and laplacian images." arXiv preprint arXiv:1902.05411 (2019).

[2]. Ram Krishna Pandey, K. Vignesh, and A. G. Ramakrishnan, Chandrahasa B. "Binary document image super resolution for improved readability and OCR performance." arXiv preprint arXiv:1812.02475 (2018). 

[3]. Ram Krishna Pandey, Vasan, A. and Ramakrishnan, A.G., 2018. Segmentation of liver lesions with reduced complexity deep models. arXiv preprint arXiv:1805.09233. 

[4]. Ram Krishna Pandey, and A. G. Ramakrishnan. "A hybrid approach of interpolations and CNN to obtain super-resolution." arXiv preprint arXiv:1805.09400 (2018).