Neelam Sinha

Orcid: 0000-0001-8164-8412

According to our database1, Neelam Sinha authored at least 73 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
CAM based fine-grained spatial feature supervision for hierarchical yoga pose classification using multi-stage transfer learning.
Expert Syst. Appl., 2024

Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment.
CoRR, 2024

Bayesian Network Modeling of Causal Influence within Cognitive Domains and Clinical Dementia Severity Ratings for Western and Indian Cohorts.
CoRR, 2024

Non-linear Analysis Based ECG Classification of Cardiovascular Disorders.
CoRR, 2024

Classification of Alzheimer's Dementia vs. Healthy subjects by studying structural disparities in fMRI Time-Series of DMN.
CoRR, 2024

MRI Volume-Based Robust Brain Age Estimation Using Weight-Shared Spatial Attention in 3D CNNs.
CoRR, 2024

Overcoming Scene Context Constraints for Object Detection in wild using Defilters.
CoRR, 2024

Towards understanding the nature of direct functional connectivity in visual brain network.
CoRR, 2024

Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI.
CoRR, 2024

Analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology.
Proceedings of the Topology- and Graph-Informed Imaging Informatics, 2024

MCI Detection Using FMRI Time Series Embeddings of Recurrence Plots.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Localizing and Assessing Node Significance in Default Mode Network Using Sub-Community Detection in Mild Cognitive Impairment.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Time-Invariant Latent Space Signatures for Enhanced Time-Frequency Domain Representation.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning.
CoRR, 2023

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

Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision.
Proceedings of the Third International Conference on AI-ML Systems, 2023

YOLOv7-DocInstSeg: Efficient Instance Segmentation Framework for Document Analysis and Recognition.
Proceedings of the Third International Conference on AI-ML Systems, 2023

2022
Analysis of single channel electroencephalographic signals for visual creativity: A pilot study.
Biomed. Signal Process. Control., 2022

Analysis of EEG for Parkinson's Disease Detection.
Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

Modified U-Net Based Covid-19 Lesion Segmentation Using CT Scans.
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

Transfer Learning for Fundus Image Quality Assessment Using Discriminating Patches.
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

VCA-Net: Visual Creativity Analysis using Deep Neural Network✱.
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

Novel Complex AUTOMAP for Accelerated MRI.
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

Deep Learning Based EEG Analysis Using Video Analytics.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Inter-channel Covariance Matrices Based Analyses of EEG Baselines.
Proceedings of the 30th European Signal Processing Conference, 2022

The Complex-valued PD-net for MRI reconstruction of knee images.
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

Semi-supervised Learning Using Variational Autoencoder - A Cluster Based Approach.
Proceedings of the Pattern Recognition and Machine Intelligence, 2021

Multi-stage Transfer Learning Based Yoga Pose Recognition Using CNN.
Proceedings of the Pattern Recognition and Machine Intelligence, 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

Class Specific Interpretability in CNN Using Causal Analysis.
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

Spatio-Temporal Features Based Surgical Phase Classification Using CNNs.
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

Classification of Human Emotions using EEG-based Causal Connectivity Patterns.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

2020
Small Segment Emphasized Performance Evaluation Metric for Medical Images.
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

Alcoholic EEG Analysis Using Riemann Geometry Based Framework.
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

Video Key Frame Detection Using Block Sparse Coding.
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
Cognitive state classification using transformed fMRI data.
CoRR, 2016

Analyzing Cognitive States Using fMRI Data.
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

Distribution Based EEG Baseline Classification.
Proceedings of the Computer Vision, Graphics, and Image Processing, 2016

2015
Statistical features based epileptic seizure EEG detection - an efficacy evaluation.
Proceedings of the 2015 International Conference on Advances in Computing, 2015

EEG signal classification in non-linear framework with filtered training data.
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
Edge-enhanced Dynamic MR imaging using compressed sensing.
Proceedings of the International Conference on Advances in Computing, 2013

2012
Distinguishing cognitive states using iterative classification.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

Optic disk localization using L1 minimization.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2010
A Class of Optimal Quaternary Codes.
Ars Comb., 2010

2007
Parallel Magnetic Resonance Imaging using Neural Networks.
Proceedings of the International Conference on Image Processing, 2007

2006
Ultra-Fast fMRI Imaging with High-Fidelity Activation Map.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2002
Blood Cell Segmentation Using EM Algorithm.
Proceedings of the ICVGIP 2002, 2002


  Loading...