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ORCIDJeetashree Aparajeeta
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2020 – today
- 2024
[j4]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: 103830-103838 (2024)- 2023
- [j3]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: 61688-61697 (2023) - [c3]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: 845-846 - 2021
- [c2]Subhankar Chattoraj, Arnab Chakraborty, Akash Gupta, Yash Vishwakarma, Karan Vishwakarma, Jeetashree Aparajeeta:
Deep Phenotypic Cell Classification using Capsule Neural Network. EMBC 2021: 4031-4036
2010 – 2019
- 2018
- [j2]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: 317-333 (2018) - 2016
- [j1]Jeetashree Aparajeeta, Pradipta Kumar Nanda, Niva Das:
Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image. Appl. Soft Comput. 41: 104-119 (2016) - 2015
- [c1]Jeetashree Aparajeeta, Pradipta Kumar Nanda, Niva Das:
Bias field estimation and segmentation of MR image using modified fuzzy-C means algorithms. ICAPR 2015: 1-6
Coauthor Index
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