Bias field estimation and segmentation of MR image using modified fuzzy-C means algorithms. - Jeetashree Aparajeeta; Pradipta Kumar Nanda; Niva Das (ICAPR, 2015)

Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image. - Jeetashree Aparajeeta; Pradipta Kumar Nanda; Niva Das (Appl. Soft Comput., 2016)

Variable Variance Adaptive Mean-Shift and possibilistic fuzzy C-means based recursive framework for brain MR image segmentation. - Jeetashree Aparajeeta; Sasmita Mahakud; Pradipta Kumar Nanda; Niva Das (Expert Syst. Appl., 2018)

Deep Phenotypic Cell Classification using Capsule Neural Network. - Subhankar Chattoraj; Arnab Chakraborty; Akash Gupta; Yash Vishwakarma; Karan Vishwakarma; Jeetashree Aparajeeta (EMBC, 2021)

Deep Learning Approach to Predict Alzheimer's Disease through Magnetic Resonance Images. - Gilang Titah Ramadhan; Yori Pusparani; Isack Farady; Elvin Nur Furqon; Chih-Yang Lin; Wen-Hung Chao; John Sahaya Rani Alex; Jeetashree Aparajeeta; Chi-Wen Lung (ICCE-Taiwan, 2023)

Diagnosis of Alzheimer's Disease Using Convolutional Neural Network With Select Slices by Landmark on Hippocampus in MRI Images. - Yori Pusparani; Chih-Yang Lin; Yih-Kuen Jan; Fu-Yu Lin; Ben-Yi Liau; Peter Ardhianto; Isack Farady; John Sahaya Rani Alex; Jeetashree Aparajeeta; Wen-Hung Chao; Chi-Wen Lung (IEEE Access, 2023)

Deep Learning Applications in MRI-Based Detection of the Hippocampal Region for Alzheimer's Diagnosis. - Yori Pusparani; Chih-Yang Lin; Yih-Kuen Jan; Fu-Yu Lin; Ben-Yi Liau; Peter Ardhianto; Elvin Nur Furqon; John Sahaya Rani Alex; Jeetashree Aparajeeta; Chi-Wen Lung (IEEE Access, 2024)