Publications

1. Ranjana Roy Chowdhury, Deepti R. Bathula, “Affinity Matrix Sampling for Enhanced Few-Shot Medical Image Classification”, submitted to Machine Vision and Applications, 2026.

2. Ranjana Roy Chowdhury, Usma Niyaz, Deepti R. Bathula, “Prototypical Aggregate Network – Boosting Few-Shot Learning for Medical Image Classification”, Multimedia Tools and Applications, 2026.

1. Ranjana Roy Chowdhury, Deepti R. Bathula, “Refining Prototypes with Selective Feature Maps: A Lightweight Approach to Few-Shot Medical Image Classification”, International Journal of Computer Applications, 2025.

2. Usma Niyaz, Abhishek Singh Sambyal, Ranjana Roy Chowdhury, Deepti R. Bathula, “SHAPER: Shape-aware Parameter-Efficient Representation Learning for Medical Image Segmentation”, Knowledge-Based Systems, 2025.

Ranjana Roy Chowdhury, Soumi Chattopadhyay, Chandranath Adak, “CAHPHF: Context-Aware Hierarchical QoS Prediction with Hybrid Filtering”, IEEE Transactions on Services Computing, 2022.

1. Soumi Chattopadhyay, Chandranath Adak, Ranjana Roy Chowdhury, “FES: A Fast Effi-cient Scalable QoS Prediction Framework”, submitted to IEEE Transactions on Services Computing, 2021.

2. Ranjana Roy, Shivam Gupta, Sravanthi Chede, “World War III Analysis using Signed Social Networks”, Social Network Analysis and Mining, 2021.

Ilyas Abbasi, Ranjana Roy Chowdhury, H. Leishang Chanu, Sujit Rabha, Dr. Tapadhir Acharjee, "A Hybrid Image Steganography Method", in International Journal of Research Technology and Engineering (IJRTE), ISSN:2277- 3878, Volume-8 Issue-3, September 2019.

Link: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.ijrte.org/wp-content/uploads/papers/v8i3/C6436098319.pdf

C. Adak, D. Ghosh, R. R. Chowdhury, S. Chattopadhyay, “COVID-19-affected Medical Image Analysis using Denser Net”, in Book Chapter of Data Science for COVID-19, Eds. U. Kose, D. Gupta, V.H.C. de Albuquerque, A. Khanna, Elsevier, 2020.

Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137508/