Neelam Sinha

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 61

Top Topics

Transfer Learning

Corpus Callosum

Covariance Matrices

Top Venues

Publications

Sneha Noble, Chakka Sai Pradeep, Neelam Sinha, Thomas Gregor Issac
Classification of Alzheimer's Dementia vs. Healthy subjects by studying structural disparities in fMRI Time-Series of DMN. CoRR (2024)
Debanjali Bhattacharya, Neelam Sinha
Towards understanding the nature of direct functional connectivity in visual brain network. CoRR (2024)
Sai Pradeep Chakka, Neelam Sinha
CAM based fine-grained spatial feature supervision for hierarchical yoga pose classification using multi-stage transfer learning. Expert Syst. Appl. 249 (2024)
Vamshi Krishna Kancharla, Neelam Sinha
MRI Volume-Based Robust Brain Age Estimation Using Weight-Shared Spatial Attention in 3D CNNs. CoRR (2024)
Ammu R., Debanjali Bhattacharya, Ameiy Acharya, Ninad Aithal, Neelam Sinha
Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI. CoRR (2024)
Vamshi Krishna Kancharla, Neelam Sinha
Overcoming Scene Context Constraints for Object Detection in wild using Defilters. CoRR (2024)
Debanjali Bhattacharya, Ninad Aithal, Manish Jayswal, Neelam Sinha
Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology. CoRR (2024)
Naveen Kanigiri, Manohar Suggula, Debanjali Bhattacharya, Neelam Sinha
Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision. AIMLSystems (2023)
Vamshi Krishna Kancharla, Neelam Sinha
YOLOv7-DocInstSeg: Efficient Instance Segmentation Framework for Document Analysis and Recognition. AIMLSystems (2023)
Ninad Aithal, Chakka Sai Pradeep, Neelam Sinha
MCI Detection using fMRI time series embeddings of Recurrence plots. CoRR (2023)
Vamshi Krishna Kancharla, Debanjali Bhattacharya, Neelam Sinha, Jitender Saini, Pramod Kumar Pal, M. Sandhya
Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5. CoRR (2023)
Chakka Sai Pradeep, Neelam Sinha, Banibrata Mukhopadhyay
Measuring Deviation from Stochasticity in Time-Series Using Autoencoder Based Time-Invariant Representation: Application to Black Hole Data. ICASSP (2023)
Chakka Sai Pradeep, Neelam Sinha
CAM Based Fine-grained Spatial Feature Supervision On Surgical-PPE: A New Dataset For Surgical PPE Kit Presence Detection. EMBC (2023)
Sai Krishna Kopparapu, Debanjali Bhattacharya, Neelam Sinha
Spatial Encoding of EEG Brain Wave Signals to Predict Student's Mental State During E-Learning. MLSP (2023)
Vamshi Krishna Kancharala, Debanjali Bhattacharya, Neelam Sinha
Spatial Encoding of BOLD fMRI Time Series for Categorizing Static Images Across Visual Datasets: A Pilot Study on Human Vision. TENCON (2023)
Sai Pradeep Chakka, Sunil Kumar Vengalil, Neelam Sinha
Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data. CoRR (2023)
Naveen Kanigiri, Manohar Suggula, Debanjali Bhattacharya, Neelam Sinha
Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision. CoRR (2023)
Ammu R, Neelam Sinha
Analysis of Mild Cognitive Impairment Utilizing Covariance Matrices of Brain Regions. MLSP (2023)
Snigdha Agarwal, Neelam Sinha
Intracranial Hemorrhage Detection and Category Classification Using Attention Aware Pure Convnets. ISBI (2023)
Ameiy Acharya, Chakka Sai Pradeep, Neelam Sinha
Localizing and Assessing Node Significance in Default Mode Network using Sub-Community Detection in Mild Cognitive Impairment. CoRR (2023)
Debanjali Bhattacharya, Neelam Sinha, Yashwanth Ramamurthi, Amit Chattopadhyay
Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning. CoRR (2023)
Snigdha Agarwal, Neelam Sinha
3D Segmentation of Unruptured Intracranial Aneurysms using Task Specific Transfer Learning and Pure Convnets. MLSP (2023)
Chakka Sai Pradeep, Neelam Sinha
Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data. CoRR (2023)
Vamshi Krishna Kancharala, Debanjali Bhattacharya, Neelam Sinha
Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision. CoRR (2023)
Darshil Shah, Gopika Gopan K, Neelam Sinha
VCA-Net: Visual Creativity Analysis using Deep Neural Network✱. ICVGIP (2022)
Gopika Gopan K., Neelam Sinha, Dinesh Babu J.
Inter-channel Covariance Matrices Based Analyses of EEG Baselines. EUSIPCO (2022)
Darshil Shah, K. Gopika Gopan, Neelam Sinha
Analysis of EEG for Parkinson's Disease Detection. SPCOM (2022)
Chakka Sai Pradeep, Neelam Sinha
Multi-Tasking DSSD Architecture for Laparoscopic Cholecystectomy Surgical Assistance Systems. ISBI (2022)
Gopika Gopan K., S. V. R. Aditya Reddy, Madhav Rao, Neelam Sinha
Analysis of single channel electroencephalographic signals for visual creativity: A pilot study. Biomed. Signal Process. Control. 75 (2022)
Poornima Jain, Chakka Sai Pradeep, Neelam Sinha
The Complex-valued PD-net for MRI reconstruction of knee images. EMBC (2022)
Poornima Jain, Punith Bv, Neelam Sinha
Novel Complex AUTOMAP for Accelerated MRI. ICVGIP (2022)
K. Gopika Gopan, Pavan Sudeesh Peruru, Neelam Sinha
Modified U-Net Based Covid-19 Lesion Segmentation Using CT Scans. SPCOM (2022)
Darshil Shah, Meghna Govind, Gopika Gopan K, Neelam Sinha
Deep Learning Based EEG Analysis Using Video Analytics. ICIP (2022)
Snigdha Agarwal, Chakka Sai Pradeep, Neelam Sinha
Temporal Surgical Gesture Segmentation and Classification in Multi-gesture Robotic Surgery using Fine-tuned features and Calibrated MS-TCN. SPCOM (2022)
Ritu Lahoti, Neelam Sinha, Vinod V. Reddy
Multi-view Learning with Two-stage Training of 2D CNNs for Tumor Sub-regions Segmentation from 3D Brain MRI Volumes. ICVGIP (2022)
Chakka Sai Pradeep, Neelam Sinha
Fused Multilayer Layer-CAM Fine-Grained Spatial Feature Supervision for Surgical Phase Classification Using CNNs. ECCV Workshops (6) (2022)
Sai Pradeep Chakka, Neelam Sinha
Supervised Contrastive Multi-tasking Learning Based Hierarchical Yoga Pose Classification Using CNNs. ICVGIP (2022)
Ammu R, Neelam Sinha
Transfer Learning for Fundus Image Quality Assessment Using Discriminating Patches. ISBI (2022)
Sunil Kumar Vengalil, Neelam Sinha
Semi-supervised Learning Using Variational Autoencoder - A Cluster Based Approach. PReMI (2021)
Ankit Yadu, P. K. Suhas, Neelam Sinha
Class Specific Interpretability in CNN Using Causal Analysis. ICIP (2021)
Ritu Lahoti, Sunil Kumar Vengalil, Punith B. Venkategowda, Neelam Sinha, Vinod Veera Reddy
Whole Tumor Segmentation from Brain MR images using Multi-view 2D Convolutional Neural Network. EMBC (2021)
Chakka Sai Pradeep, Neelam Sinha
Spatio-Temporal Features Based Surgical Phase Classification Using CNNs. EMBC (2021)
Ammu R, Rajikha Raja, Neelam Sinha, Jitender Saini
Analysis of vascular dysregulation caused by infiltrating glioma cells using bold fMRI. ICVGIP (2021)
Atharva Kadethankar, Neelam Sinha, Vinayaka Hegde, Abhishek Burman
Signature Feature Marking Enhanced IRM Framework for Drone Image Analysis in Precision Agriculture. ICASSP (2021)
Yogesh Kochar, Sunil Kumar Vengalil, Neelam Sinha
Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks. CoRR (2021)
J. Siva Ramakrishna, Neelam Sinha, Hariharan Ramasangu
Classification of Human Emotions using EEG-based Causal Connectivity Patterns. CIBCB (2021)
Ammu R, Neelam Sinha
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation. CoRR (2021)
Sunil Kumar Vengalil, Neelam Sinha
Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks. CoRR (2021)
Chakka Sai Pradeep, Neelam Sinha
Multi-stage Transfer Learning Based Yoga Pose Recognition Using CNN. PReMI (2021)
Debanjali Bhattacharya, Neelam Sinha, Jitender Saini
Radial Cumulative Frequency Distribution: A New Imaging Signature to Detect Chromosomal Arms 1p/19q Co-deletion Status in Glioma. CVIP (1) (2020)
R. Ammu, Neelam Sinha
Small Segment Emphasized Performance Evaluation Metric for Medical Images. SPCOM (2020)
Atharva Kadethankar, Neelam Sinha, Abhishek Burman, Vinayaka Hegde
Deep Learning Based Detection of Rhinoceros Beetle Infestation in Coconut Trees Using Drone Imagery. CVIP (1) (2020)
Debanjali Bhattacharya, Neelam Sinha, Jitender Saini
Detection of Chromosomal Arms 1p/19q Codeletion in Low Graded Glioma using Probability Distribution of MRI Volume Heterogeneity. TENCON (2019)
Debanjali Bhattacharya, Sunil Kumar Vengalil, Neelam Sinha, Jitender Saini, Pramod Kumar Pal, M. Sandhya
Structural MRI based texture analysis of corpus callosum in patients with Progressive Supraneuclear Palsy. TENCON (2019)
Gopika Gopan K., Neelam Sinha, Dinesh Babu Jayagopi
Alcoholic EEG Analysis Using Riemann Geometry Based Framework. EUSIPCO (2019)
Hema Sundara Srinivasula Reddy GogiReddy, Neelam Sinha
Video Key Frame Detection Using Block Sparse Coding. CVIP (1) (2018)
Debanjali Bhattacharya, Neelam Sinha
An improved approach of high graded glioma segmentation using sparse autoencoder and fuzzy c-means clustering from multi-modal MR images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Debanjali Bhattacharya, Neelam Sinha, Jitender Saini
Quantitative analysis of structural variations in corpus callosum in adults with multiple system atrophy (MSA). Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Gopika Gopan K., Neelam Sinha, Dinesh Babu J.
Distribution Based EEG Baseline Classification. ICVGIP Workshops (2016)
Pankaj Pandey, Byom Kesh Jha, Neelam Sinha
Analyzing Cognitive States Using fMRI Data. MIUA (2016)
Hariharan Ramasangu, Neelam Sinha
Cognitive state classification using transformed fMRI data. CoRR (2016)
Gopika Gopan K., Neelam Sinha, Dinesh Babu J.
Statistical features based epileptic seizure EEG detection - an efficacy evaluation. ICACCI (2015)
K. Gopika Gopan, Neelam Sinha, Dinesh Babu J.
EEG signal classification in non-linear framework with filtered training data. EUSIPCO (2015)
Rakshatha P. Krishnamurthy, Neelam Sinha, Jitender Saini, Pramod Kumar Pal
Classification of essential tremors (ET) disorder and healthy controls using a masking technique. Medical Imaging: Image Processing (2014)
Rajikha Raja, Neelam Sinha
Edge-enhanced Dynamic MR imaging using compressed sensing. ICACCI (2013)
Rakshatha P. Krishnamurthy, Vishal Vijayakumar, Neelam Sinha, Phaneendra K. Yalavarthy
Distinguishing cognitive states using iterative classification. ICVGIP (2012)
Neelam Sinha, R. Venkatesh Babu
Optic disk localization using L1 minimization. ICIP (2012)
Kishore Sinha, Neelam Sinha
A Class of Optimal Quaternary Codes. Ars Comb. 94 (2010)
Neelam Sinha, Manojkumar Saranathan, Kalpathi R. Ramakrishnan, Suresh Sundaram
Parallel Magnetic Resonance Imaging using Neural Networks. ICIP (3) (2007)
Neelam Sinha, Manojkumar Saranathan, A. G. Ramakrishnan, Juan Zhou, Jagath C. Rajapakse
Ultra-Fast fMRI Imaging with High-Fidelity Activation Map. ICONIP (2) (2006)
Neelam Sinha, A. G. Ramakrishnan
Blood Cell Segmentation Using EM Algorithm. ICVGIP (2002)