Jeetashree Aparajeeta

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Publications (11)

• Enhanced detection of mild cognitive impairment in Alzheimer’s disease: a hybrid model integrating dual biomarkers and advanced machine learning
  BMC Geriatrics 2025 DOI: 10.1186/s12877-025-05683-5
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• Unsupervised Detection of Anomalies in MR Brain Images Using Cross Correlation Encoder-Decoder GAN of Multivariate Time-Series
  Learning and Analytics in Intelligent Systems 2025 DOI: 10.1007/978-3-031-82706-8_12
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• Transforming E-Learning: The Impact of CampusIQ
  2024 Global Conference on Communications and Information Technologies (GCCIT) 2024 DOI: 10.1109/gccit63234.2024.10862637
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• Deep Learning Applications in MRI-Based Detection of the Hippocampal Region for Alzheimer’s Diagnosis
  IEEE Access 2024 DOI: 10.1109/access.2024.3426085
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• Diagnosis of Alzheimer’s Disease using Convolutional Neural Network with Select Slices by Landmark on Hippocampus in MRI Images
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3285115
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• Automated Crowd Size Estimation in Dense Crowd Images—Application in Detecting COVID-19 Guideline Violations
  Cognitive Informatics and Soft Computing 2022 DOI: 10.1007/978-981-16-8763-1_43
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• Deep Phenotypic Cell Classification using Capsule Neural Network
  2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021 DOI: 10.1109/embc46164.2021.9629862
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• Variable Variance Adaptive Mean-Shift and possibilistic fuzzy C-means based recursive framework for brain MR image segmentation
  Expert Systems with Applications 2018 DOI: 10.1016/j.eswa.2017.09.049
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• A recursive framework for bias field estimation and segmentation of noisy brain MR images
  2017 4th International Conference on Signal Processing and Integrated Networks, SPIN 2017 2017 DOI: 10.1109/SPIN.2017.8049929
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• Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image
  Applied Soft Computing Journal 2016 DOI: 10.1016/j.asoc.2015.12.003
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