Jeetashree Aparajeeta

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 6

Top Topics

Brain Mr Image Segmentation

Magnetic Resonance Images

Top Venues

Expert Syst. Appl.

Publications

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
Deep Learning Applications in MRI-Based Detection of the Hippocampal Region for Alzheimer's Diagnosis. IEEE Access 12 (2024)
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
Diagnosis of Alzheimer's Disease Using Convolutional Neural Network With Select Slices by Landmark on Hippocampus in MRI Images. IEEE Access 11 (2023)
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
Deep Learning Approach to Predict Alzheimer's Disease through Magnetic Resonance Images. ICCE-Taiwan (2023)
Subhankar Chattoraj, Arnab Chakraborty, Akash Gupta, Yash Vishwakarma, Karan Vishwakarma, Jeetashree Aparajeeta
Deep Phenotypic Cell Classification using Capsule Neural Network. EMBC (2021)
Jeetashree Aparajeeta, Sasmita Mahakud, Pradipta Kumar Nanda, Niva Das
Variable Variance Adaptive Mean-Shift and possibilistic fuzzy C-means based recursive framework for brain MR image segmentation. Expert Syst. Appl. 92 (2018)
Jeetashree Aparajeeta, Pradipta Kumar Nanda, Niva Das
Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image. Appl. Soft Comput. 41 (2016)
Jeetashree Aparajeeta, Pradipta Kumar Nanda, Niva Das
Bias field estimation and segmentation of MR image using modified fuzzy-C means algorithms. ICAPR (2015)