Neelam Sinha
Orcid: 0000-0001-8164-8412
According to our database1,
Neelam Sinha
authored at least 61 papers
between 2002 and 2024.
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Bibliography
2024
Towards understanding the nature of direct functional connectivity in visual brain network.
CoRR, 2024
CoRR, 2024
2023
Localizing and Assessing Node Significance in Default Mode Network using Sub-Community Detection in Mild Cognitive Impairment.
CoRR, 2023
Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning.
CoRR, 2023
Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision.
CoRR, 2023
CoRR, 2023
Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5.
CoRR, 2023
Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data.
CoRR, 2023
Spatial Encoding of BOLD fMRI Time Series for Categorizing Static Images Across Visual Datasets: A Pilot Study on Human Vision.
Proceedings of the IEEE Region 10 Conference, 2023
Analysis of Mild Cognitive Impairment Utilizing Covariance Matrices of Brain Regions.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Spatial Encoding of EEG Brain Wave Signals to Predict Student's Mental State During E-Learning.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
3D Segmentation of Unruptured Intracranial Aneurysms using Task Specific Transfer Learning and Pure Convnets.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Intracranial Hemorrhage Detection and Category Classification Using Attention Aware Pure Convnets.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Measuring Deviation from Stochasticity in Time-Series Using Autoencoder Based Time-Invariant Representation: Application to Black Hole Data.
Proceedings of the IEEE International Conference on Acoustics, 2023
CAM Based Fine-grained Spatial Feature Supervision On Surgical-PPE: A New Dataset For Surgical PPE Kit Presence Detection.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Analysis of single channel electroencephalographic signals for visual creativity: A pilot study.
Biomed. Signal Process. Control., 2022
Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022
Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022
Temporal Surgical Gesture Segmentation and Classification in Multi-gesture Robotic Surgery using Fine-tuned features and Calibrated MS-TCN.
Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Multi-Tasking DSSD Architecture for Laparoscopic Cholecystectomy Surgical Assistance Systems.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022
Multi-view Learning with Two-stage Training of 2D CNNs for Tumor Sub-regions Segmentation from 3D Brain MRI Volumes.
Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022
Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022
Supervised Contrastive Multi-tasking Learning Based Hierarchical Yoga Pose Classification Using CNNs.
Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Fused Multilayer Layer-CAM Fine-Grained Spatial Feature Supervision for Surgical Phase Classification Using CNNs.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation.
CoRR, 2021
Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks.
CoRR, 2021
Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks.
CoRR, 2021
Analysis of vascular dysregulation caused by infiltrating glioma cells using bold fMRI.
Proceedings of the ICVGIP '21: Indian Conference on Computer Vision, Graphics and Image Processing, Jodhpur, India, December 19, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Signature Feature Marking Enhanced IRM Framework for Drone Image Analysis in Precision Agriculture.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Whole Tumor Segmentation from Brain MR images using Multi-view 2D Convolutional Neural Network.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021
2020
Proceedings of the International Conference on Signal Processing and Communications, 2020
Deep Learning Based Detection of Rhinoceros Beetle Infestation in Coconut Trees Using Drone Imagery.
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020
Radial Cumulative Frequency Distribution: A New Imaging Signature to Detect Chromosomal Arms 1p/19q Co-deletion Status in Glioma.
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020
2019
Structural MRI based texture analysis of corpus callosum in patients with Progressive Supraneuclear Palsy.
Proceedings of the TENCON 2019, 2019
Detection of Chromosomal Arms 1p/19q Codeletion in Low Graded Glioma using Probability Distribution of MRI Volume Heterogeneity.
Proceedings of the TENCON 2019, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
2018
An improved approach of high graded glioma segmentation using sparse autoencoder and fuzzy c-means clustering from multi-modal MR images.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Proceedings of 3rd International Conference on Computer Vision and Image Processing - CVIP 2018, Jabalpur, India, September 29, 2018
2017
Quantitative analysis of structural variations in corpus callosum in adults with multiple system atrophy (MSA).
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
2016
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016
Proceedings of the Computer Vision, Graphics, and Image Processing, 2016
2015
Proceedings of the 2015 International Conference on Advances in Computing, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
Classification of essential tremors (ET) disorder and healthy controls using a masking technique.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
2013
Proceedings of the International Conference on Advances in Computing, 2013
2012
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
2010
A Class of Optimal Quaternary Codes.
Ars Comb., 2010
2007
Proceedings of the International Conference on Image Processing, 2007
2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2002
Blood Cell Segmentation Using EM Algorithm.
Proceedings of the ICVGIP 2002, 2002