Jeetashree Aparajeeta

According to our database, Jeetashree Aparajeeta authored at least 6 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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 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

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

2021

Deep Phenotypic Cell Classification using Capsule Neural Network.

Subhankar Chattoraj, Arnab Chakraborty, Akash Gupta, Yash Vishwakarma, Karan Vishwakarma, Jeetashree Aparajeeta

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2018

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

2016

Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image.

Jeetashree Aparajeeta, Pradipta Kumar Nanda, Niva Das

Appl. Soft Comput., 2016

2015

Bias field estimation and segmentation of MR image using modified fuzzy-C means algorithms.

Jeetashree Aparajeeta, Pradipta Kumar Nanda, Niva Das

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015