Removal and interpolation of missing values using wavelet neural network for heterogeneous data sets. - Lipismita Panigrahi; Ruchi Ranjan; Kaberi Das; Debahuti Mishra (ICACCI, 2012)

Sampling correctly for improving classification accuracy: a hybrid higher order neural classifier (HHONC) approach. - Prem Pujari Pati; Kaberi Das; Debahuti Mishra; Shruti Mishra; Lipismita Panigrahi (ICACCI, 2012)

An enhancement in automatic seed selection in breast cancer ultrasound images using texture features. - Lipismita Panigrahi; Keshri Verma; Bikesh Kumar Singh (ICACCI, 2016)

Integrating radiologist feedback with computer aided diagnostic systems for breast cancer risk prediction in ultrasonic images: An experimental investigation in machine learning paradigm. - Bikesh Kumar Singh; Kesari Verma; Lipismita Panigrahi; A. S. Thoke (Expert Syst. Appl., 2017)

Hybrid segmentation method based on multi-scale Gaussian kernel fuzzy clustering with spatial bias correction and region-scalable fitting for breast US images. - Lipismita Panigrahi; Kesari Verma; Bikesh Kumar Singh (IET Comput. Vis., 2018)

Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution. - Lipismita Panigrahi; Kesari Verma; Bikesh Kumar Singh (Expert Syst. Appl., 2019)

A Novel Breast Ultrasound Image Augmentation Method Using Advanced Neural Style Transfer: An Efficient and Explainable Approach. - Lipismita Panigrahi; Prianka Rani Saha; Jurdana Masuma Iqrah; Sushil K. Prasad (CoRR, 2024)

mBCCf: Multilevel Breast Cancer Classification Framework Using Radiomic Features. - Lipismita Panigrahi; Tej Bahadur Chandra; Atul Kumar Srivastava; Neeraj Varshney; Kamred Udham Singh; Shambhu Mahato (Int. J. Intell. Syst., 2024)