Analysis of Pancreas Histological Images for Glucose Intolerance Identification Using Wavelet Decomposition. - Tathagata Bandyopadhyay; Sreetama Mitra; Shyamali Mitra; Luís Miguel Rato; Nibaran Das (FICTA (1), 2016)

SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images. - Soumyajyoti Dey; Soham Das 003; Swarnendu Ghosh; Shyamali Mitra; Sukanta Chakrabarty; Nibaran Das (CoRR, 2020)

Cytology Image Analysis Techniques Towards Automation: Systematically Revisited. - Shyamali Mitra; Nibaran Das; Soumyajyoti Dey; Sukanta Chakrabarty; Mita Nasipuri; Mrinal Kanti Naskar (CoRR, 2020)

Identification of Malignancy from Cytological Images Based on Superpixel and Convolutional Neural Networks. - Shyamali Mitra; Soumyajyoti Dey; Nibaran Das; Sukanta Chakrabarty; Mita Nasipuri; Mrinal Kanti Naskar (Intelligent Computing Paradigm, 2020)

A Low Latency Stochastic Square Root Circuit. - Shyamali Mitra; Debojyoti Banerjee; Mrinal K. Naskar (VLSID, 2021)

ReCo1: A Fault resilient technique of Correlation Sensitive Stochastic Designs. - Shyamali Mitra; Sayantan Banerjee; Mrinal Kanti Naskar (CoRR, 2021)

Niblack Binarization on Document Images: Area Efficient, Low Cost, and Noise Tolerant Stochastic Architecture. - Shyamali Mitra; KC Santosh; Mrinal Kanti Naskar (Int. J. Pattern Recognit. Artif. Intell., 2021)

Ensemble Framework for Unsupervised Cervical Cell Segmentation. - Agnimitra Sen; Shyamali Mitra; Sukanta Chakraborty; Debashri Mondal; KC Santosh; Nibaran Das (CBMS, 2022)

Remodelling correlation: A fault resilient technique of correlation sensitive stochastic designs. - Shyamali Mitra; Sayantan Banerjee; Mrinal Kanti Naskar (Array, 2022)

Cytology Image Analysis Techniques Toward Automation: Systematically Revisited. - Shyamali Mitra; Nibaran Das; Soumyajyoti Dey; Sukanta Chakraborty; Mita Nasipuri; Mrinal Kanti Naskar (ACM Comput. Surv., 2022)

FPGA implementation of fast square root algorithm with tunable accuracy. - Shyamali Mitra; Arunasish Datta; Souradeep Sikdar; Mrinal Kanti Naskar (Int. J. Embed. Syst., 2022)

GC-EnC: A Copula based ensemble of CNNs for malignancy identification in breast histopathology and cytology images. - Soumyajyoti Dey; Shyamali Mitra; Sukanta Chakraborty; Debashri Mondal; Mita Nasipuri; Nibaran Das (Comput. Biol. Medicine, 2023)

ULGss: A Strategy to construct a Library of Universal Logic Gates for N-variable Boolean Logic beyond NAND and NOR. - Aadarsh G. Goenka; Shyamali Mitra; Mrinal K. Naskar; Nibaran Das (CoRR, 2023)

Development of Noise Tolerant Document Image Binarization Technique Employing an Accurate Square Root Circuit. - Shyamali Mitra; Debojyoti Banerjee; Mrinal K. Naskar (SN Comput. Sci., 2023)

A Low Latency and Compact GCD Design Using an Intelligent Seed-Selection Scheme of LL-PRNG. - Shyamali Mitra; Aadarsh G. Goenka; Mrinal K. Naskar (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images. - Dibyasree Guha; Shyamali Mitra; Somenath Kuiry; Nibaran Das (CoRR, 2024)

ResQ: A hybrid classical-quantum model for efficient breast cancer image classification. - Dibyasree Guha; Somenath Kuiry; Shyamali Mitra; Siddhartha Bhattacharyya; Nibaran Das (Appl. Soft Comput., 2025)