Navarun Das, Elima Hussain, Lipi B. Mahanta, Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network, Neural Networks, May 2020, ISSN 0893-6080, https://doi.org/10.1016/j.neunet.2020.05.003 (Impact factor = 8.050).
Lipi B. Mahanta, Elima Hussain, Navarun Das, Manish Chowdhury, Lopamudra Kakoti, IHC-Net: A Fully Convolutional Neural Network for automated nuclear segmentation and ensemble classification for Allred scoring in breast pathology, Applied Soft Computing (Impact factor = 6.725)
Elima Hussain, Lipi B. Mahanta, Chandana Ray Das, Manjula Choudhury, Manish Chowdhury, A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images, Artificial Intelligence in Medicine, Volume 107, 2020, 101897, ISSN 0933-3657, https://doi.org/10.1016/j.artmed.2020.101897 (Impact factor = 5.326).
Elima Hussain, Lipi B. Mahanta, Chandana Ray Das, Ratna Kanta Talukdar, A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network, Tissue and Cell, Volume 65, August 2020, 101347, ISSN 0040-8166, https://doi.org/10.1016/j.tice.2020.101347 (Impact factor = 2.466).
Elima Hussain, Lipi B. Mahanta, Himakshi Borah, Chandana Ray Das, Liquid based-cytology Pap smear dataset for automated multi-class diagnosis of pre-cancerous and cervical cancer lesions, Data in Brief, Volume 30, June 2020, 105589, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2020.105589 (Impact factor = 1.7).
Elima Hussain, Kishore Kashyap, “A review on Optical Character Recognition Techniques for different Indian Scripts” , Proceedings of International Conference on Computing & Communication Systems, April 2015, Vol. 1, ISBN: 978-1-4799-5857-01
Mahanta L.B., Hussain E., Bora K. (2021) AIM and Cervical Cancer. In: Lidströmer N., Ashrafian H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-58080-3_253-1