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Neelam Sinha

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Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI

Feb 05, 2024
Ammu R., Debanjali Bhattacharya, Ameiy Acharya, Ninad Aithal, Neelam Sinha

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Localizing and Assessing Node Significance in Default Mode Network using Sub-Community Detection in Mild Cognitive Impairment

Dec 04, 2023
Ameiy Acharya, Chakka Sai Pradeep, Neelam Sinha

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MCI Detection using fMRI time series embeddings of Recurrence plots

Nov 30, 2023
Ninad Aithal, Chakka Sai Pradeep, Neelam Sinha

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Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning

Nov 03, 2023
Debanjali Bhattacharya, Neelam Sinha, Yashwanth R., Amit Chattopadhyay

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Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision

Sep 27, 2023
Naveen Kanigiri, Manohar Suggula, Debanjali Bhattacharya, Neelam Sinha

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Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision

Sep 07, 2023
Vamshi K. Kancharala, Debanjali Bhattacharya, Neelam Sinha

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Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data

Jul 15, 2023
Sai Pradeep Chakka, Sunil Kumar Vengalil, Neelam Sinha

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Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5

Jun 01, 2023
Vamshi Krishna Kancharla, Debanjali Bhattacharya, Neelam Sinha, Jitender Saini, Pramod Kumar Pal, Sandhya M

Figure 1 for Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5
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Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data

Apr 23, 2023
Chakka Sai Pradeep, Neelam Sinha

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SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation

Sep 08, 2021
Ammu R, Neelam Sinha

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