Neelam Sinha
International Institute of Information Technology Bangalore
H-index: 11
Asia-India
Top articles of Neelam Sinha
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI | arXiv e-prints | R Ammu Debanjali Bhattacharya Ameiy Acharya Ninad Aithal Neelam Sinha | 2024/2 |
Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data | arXiv preprint arXiv:2307.07703 | Sai Pradeep Chakka Sunil Kumar Vengalil Neelam Sinha | 2023/7/15 |
MCI Detection using fMRI Time series embeddings of recurrence plots | Ninad Aithal Chakka Sai Pradeep Neelam Sinha | 2024 | |
Localizing and Assessing Node Significance in Default Mode Network using Sub-Community Detection in Mild Cognitive Impairment | Ameiy Acharya Chakka Sai Pradeep Neelam Sinha | 2024 | |
CAM based fine-grained spatial feature supervision for hierarchical yoga pose classification using multi-stage transfer learning | Chakka Sai Pradeep Neelam Sinha | 2023/7 | |
Towards understanding the nature of direct functional connectivity in visual brain network | arXiv preprint arXiv:2403.11480 | Debanjali Bhattacharya Neelam Sinha | 2024/3/18 |
Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5 | arXiv e-prints | Vamshi Krishna Kancharla Debanjali Bhattacharya Neelam Sinha Jitender Saini Pramod Kumar Pal | 2023/6 |
Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision | arXiv preprint arXiv:2309.15495 | Naveen Kanigiri Manohar Suggula Debanjali Bhattacharya Neelam Sinha | 2023/9/27 |
Spatial Encoding of BOLD fMRI Time Series for Categorizing Static Images across Visual Datasets: A Pilot Study on Human Vision | Vamshi Kancharla Debanjali Bhattacharya Neelam Sinha | 2023 | |
An end-to-end Complex-valued Neural Network approach for k-space interpolation in Parallel MRI | Poornima Jain Neelam Sinha G Srinivasaraghavan | 2023/4/28 | |
ANALYSIS OF MILD COGNITIVE IMPAIRMENT UTILIZING COVARIANCE MATRICES OF BRAIN REGIONS | R Ammu Neelam Sinha | 2023/9 | |
Intracranial Hemorrhage Detection and Category Classification using Attention Aware Pure Convnets | Snigdha Agarwal Neelam Sinha | 2023 | |
Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data | arXiv preprint arXiv:2304.11560 | Chakka Sai Pradeep Neelam Sinha | 2023/4/23 |
3D SEGMENTATION OF UNRUPTURED INTRACRANIAL ANEURYSMS USING TASK SPECIFIC TRANSFER LEARNING AND PURE CONVNETS | Snigdha Agarwal Neelam Sinha | 2023/9 | |
Spatial encoding of EEG brain wave signals to predict student's mental state during E-learning | Saikrishna Kapparapu Debanjali Bhattacharya Neelam Sinha | 2023/9 | |
Challenges in the acquisition of non-invasive brain signals–electroencephalographic signals (EEG) | Cognitive Sensing Technologies and Applications | K Gopika Gopan Neelam Sinha | 2023 |
Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning | arXiv preprint arXiv:2311.08417 | Debanjali Bhattacharya Neelam Sinha Amit Chattopadhyay | 2023/11/3 |
Measuring Deviation from Stochasticity in Time-Series Using Autoencoder Based Time-Invariant Representation: Application to Black Hole Data | Chakka Sai Pradeep Neelam Sinha Banibrata Mukhopadhyay | 2023/6/4 | |
Cognitive task and workload classification using EEG signal | Cognitive Sensing Technologies and Applications | Debanjali Bhattacharya Neelam Sinha | 2023 |
Surgical phase classification and operative skill assessment through spatial context aware CNNs and time-invariant feature extracting autoencoders | Biocybernetics and Biomedical Engineering | Chakka Sai Pradeep Neelam Sinha | 2023/10/1 |
Co-Authors
