Detection of Liver Tumor in CT Images Using Watershed and Hidden Markov Random Field Expectation Maximization Algorithm. - Amita Das; Soumya S. Panda; Sukanta Sabut (CICBA (2), 2017)

Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier. - Monalisa Mohanty; Santanu Kumar Sahoo; Pradyut Kumar Biswal; Sukanta Sabut (Biomed. Signal Process. Control., 2018)

Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images. - Asit Kumar Subudhi; U. Rajendra Acharya; Manasa Dash; Subhransu Jena; Sukanta Sabut (Comput. Biol. Medicine, 2018)

Adaptive fuzzy clustering-based texture analysis for classifying liver cancer in abdominal CT images. - Amita Das; Priti Das; Soumya S. Panda; Sukanta Sabut (Int. J. Comput. Biol. Drug Des., 2018)

Classification of heart rhythm disorders using instructive features and artificial neural networks. - Santanu Kumar Sahoo; Priti Das; Prativa Biswal; Sukanta Sabut (Int. J. Medical Eng. Informatics, 2018)

Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in brain MRI. - Asit Kumar Subudhi; Subhransu Jena; Sukanta Sabut (Medical Biol. Eng. Comput., 2018)

Automatic detection of ischemic stroke using higher order spectra features in brain MRI images. - U. Rajendra Acharya; Kristen M. Meiburger; Oliver Faust; Joel E. W. Koh; Shu Lih Oh; Edward J. Ciaccio; Asit Kumar Subudhi; V. Jahmunah 001; Sukanta Sabut (Cogn. Syst. Res., 2019)

Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques. - Amita Das; U. Rajendra Acharya; Soumya S. Panda; Sukanta Sabut (Cogn. Syst. Res., 2019)

Automated Detection of Brain Stroke in MRI with Hybrid Fuzzy C-Means Clustering and Random Forest Classifier. - Asit Kumar Subudhi; Subhransu Jena; Sukanta Sabut (Int. J. Comput. Intell. Appl., 2019)

Automatic Classification of Cardiac Arrhythmias Based on Hybrid Features and Decision Tree Algorithm. - Santanu Kumar Sahoo; Asit Kumar Subudhi; Manasa Dash; Sukanta Sabut (Int. J. Autom. Comput., 2020)

Machine learning approach to recognize ventricular arrhythmias using VMD based features. - Monalisa Mohanty; Pradyut Kumar Biswal; Sukanta Sabut (Multidimens. Syst. Signal Process., 2020)

Classification of ventricular arrhythmias using empirical mode decomposition and machine learning algorithms. - Monalisa Mohanty; Manasa Dash; Pradyut Kumar Biswal; Sukanta Sabut (Prog. Artif. Intell., 2021)

Deep learning approach for classifying ischemic stroke using DWI sequences of brain MRIs. - Sukanta Sabut; Prasanta Patra; Arun Ray (Int. J. Intell. Syst. Technol. Appl., 2022)

Deep learning-based system to predict cardiac arrhythmia using hybrid features of transform techniques. - Santanu Kumar Sahoo; Pradipta K. Dash; S. P. Mishra; Sukanta Sabut (Intell. Syst. Appl., 2022)

Decision Support System for Predicting Ventricular Arrhythmias Using Non-linear Features of ECG Signals. - Monalisa Mohanty; Pradipta Kishore Dash; Sukanta Sabut (SN Comput. Sci., 2024)

Transfer learning based epileptic seizure classification using scalogram images of EEG signals. - Sasweta Pattnaik; B. Nageswara Rao; Nirmal Kumar Rout; Sukanta Sabut (Multim. Tools Appl., 2024)