Blood Cell Segmentation Using EM Algorithm. - Neelam Sinha; A. G. Ramakrishnan (ICVGIP, 2002)

Ultra-Fast fMRI Imaging with High-Fidelity Activation Map. - Neelam Sinha; Manojkumar Saranathan; A. G. Ramakrishnan; Juan Zhou; Jagath C. Rajapakse (ICONIP (2), 2006)

Parallel Magnetic Resonance Imaging using Neural Networks. - Neelam Sinha; Manojkumar Saranathan; Kalpathi R. Ramakrishnan; Suresh Sundaram 002 (ICIP (3), 2007)

A Class of Optimal Quaternary Codes. - Kishore Sinha; Neelam Sinha (Ars Comb., 2010)

Optic disk localization using L1 minimization. - Neelam Sinha; R. Venkatesh Babu (ICIP, 2012)

Distinguishing cognitive states using iterative classification. - Rakshatha P. Krishnamurthy; Vishal Vijayakumar; Neelam Sinha; Phaneendra K. Yalavarthy (ICVGIP, 2012)

Edge-enhanced Dynamic MR imaging using compressed sensing. - Rajikha Raja; Neelam Sinha (ICACCI, 2013)

Classification of essential tremors (ET) disorder and healthy controls using a masking technique. - Rakshatha P. Krishnamurthy; Neelam Sinha; Jitender Saini; Pramod Kumar Pal (Image Processing, 2014)

EEG signal classification in non-linear framework with filtered training data. - K. Gopika Gopan; Neelam Sinha; Dinesh Babu J. (EUSIPCO, 2015)

Statistical features based epileptic seizure EEG detection - an efficacy evaluation. - Gopika Gopan K.; Neelam Sinha; Dinesh Babu J. (ICACCI, 2015)

Distribution Based EEG Baseline Classification. - Gopika Gopan K.; Neelam Sinha; Dinesh Babu J. (ICVGIP Workshops, 2016)

Analyzing Cognitive States Using fMRI Data. - Pankaj Pandey; Byom Kesh Jha; Neelam Sinha (MIUA, 2016)

Customizing CNNs for blood vessel segmentation from fundus images. - Sunil Kumar Vengalil; Neelam Sinha; Srinivas S. S. Kruthiventi; R. Venkatesh Babu (SPCOM, 2016)

Cognitive state classification using transformed fMRI data. - Hariharan Ramasangu; Neelam Sinha (CoRR, 2016)

Quantitative analysis of structural variations in corpus callosum in adults with multiple system atrophy (MSA). - Debanjali Bhattacharya; Neelam Sinha; Jitender Saini (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Video Key Frame Detection Using Block Sparse Coding. - Hema Sundara Srinivasula Reddy GogiReddy; Neelam Sinha (CVIP (1), 2018)

An improved approach of high graded glioma segmentation using sparse autoencoder and fuzzy c-means clustering from multi-modal MR images. - Debanjali Bhattacharya; Neelam Sinha (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Alcoholic EEG Analysis Using Riemann Geometry Based Framework. - Gopika Gopan K.; Neelam Sinha; Dinesh Babu Jayagopi (EUSIPCO, 2019)

Detection of Chromosomal Arms 1p/19q Codeletion in Low Graded Glioma using Probability Distribution of MRI Volume Heterogeneity. - Debanjali Bhattacharya; Neelam Sinha; Jitender Saini (TENCON, 2019)

Structural MRI based texture analysis of corpus callosum in patients with Progressive Supraneuclear Palsy. - Debanjali Bhattacharya; Sunil Kumar Vengalil; Neelam Sinha; Jitender Saini; Pramod Kumar Pal; M. Sandhya (TENCON, 2019)

Radial Cumulative Frequency Distribution: A New Imaging Signature to Detect Chromosomal Arms 1p/19q Co-deletion Status in Glioma. - Debanjali Bhattacharya; Neelam Sinha; Jitender Saini (CVIP (1), 2020)

Deep Learning Based Detection of Rhinoceros Beetle Infestation in Coconut Trees Using Drone Imagery. - Atharva Kadethankar; Neelam Sinha; Abhishek Burman; Vinayaka Hegde (CVIP (1), 2020)

Small Segment Emphasized Performance Evaluation Metric for Medical Images. - Ammu R; Neelam Sinha (SPCOM, 2020)

Classification of Human Emotions using EEG-based Causal Connectivity Patterns. - J. Siva Ramakrishna; Neelam Sinha; Hariharan Ramasangu (CIBCB, 2021)

Whole Tumor Segmentation from Brain MR images using Multi-view 2D Convolutional Neural Network. - Ritu Lahoti; Sunil Kumar Vengalil; Punith B. Venkategowda; Neelam Sinha; Vinod Veera Reddy (EMBC, 2021)

Spatio-Temporal Features Based Surgical Phase Classification Using CNNs. - Chakka Sai Pradeep; Neelam Sinha (EMBC, 2021)

Signature Feature Marking Enhanced IRM Framework for Drone Image Analysis in Precision Agriculture. - Atharva Kadethankar; Neelam Sinha; Vinayaka Hegde; Abhishek Burman (ICASSP, 2021)

Class Specific Interpretability in CNN Using Causal Analysis. - Ankit Yadu; P. K. Suhas; Neelam Sinha (ICIP, 2021)

Analysis of vascular dysregulation caused by infiltrating glioma cells using bold fMRI. - Ammu R; Rajikha Raja; Neelam Sinha; Jitender Saini (ICVGIP, 2021)

Multi-stage Transfer Learning Based Yoga Pose Recognition Using CNN. - Chakka Sai Pradeep; Neelam Sinha (PReMI, 2021)

Semi-supervised Learning Using Variational Autoencoder - A Cluster Based Approach. - Sunil Kumar Vengalil; Neelam Sinha (PReMI, 2021)

Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks. - Sunil Kumar Vengalil; Neelam Sinha (CoRR, 2021)

Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks. - Yogesh Kochar; Sunil Kumar Vengalil; Neelam Sinha (CoRR, 2021)

SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation. - Ammu R; Neelam Sinha (CoRR, 2021)

Fused Multilayer Layer-CAM Fine-Grained Spatial Feature Supervision for Surgical Phase Classification Using CNNs. - Chakka Sai Pradeep; Neelam Sinha (ECCV Workshops (6), 2022)

The Complex-valued PD-net for MRI reconstruction of knee images. - Poornima Jain; Chakka Sai Pradeep; Neelam Sinha (EMBC, 2022)

Inter-channel Covariance Matrices Based Analyses of EEG Baselines. - Gopika Gopan K.; Neelam Sinha; Dinesh Babu J. (EUSIPCO, 2022)

Deep Learning Based EEG Analysis Using Video Analytics. - Darshil Shah; Meghna Govind; Gopika Gopan K; Neelam Sinha (ICIP, 2022)

Supervised Contrastive Multi-tasking Learning Based Hierarchical Yoga Pose Classification Using CNNs. - Sai Pradeep Chakka; Neelam Sinha (ICVGIP, 2022)

Novel Complex AUTOMAP for Accelerated MRI. - Poornima Jain; Punith B. Venkategowda; Neelam Sinha (ICVGIP, 2022)

Multi-view Learning with Two-stage Training of 2D CNNs for Tumor Sub-regions Segmentation from 3D Brain MRI Volumes. - Ritu Lahoti; Neelam Sinha; Vinod V. Reddy (ICVGIP, 2022)

VCA-Net: Visual Creativity Analysis using Deep Neural Network✱. - Darshil Shah; Gopika Gopan K; Neelam Sinha (ICVGIP, 2022)

Multi-Tasking DSSD Architecture for Laparoscopic Cholecystectomy Surgical Assistance Systems. - Chakka Sai Pradeep; Neelam Sinha (ISBI, 2022)

Transfer Learning for Fundus Image Quality Assessment Using Discriminating Patches. - Ammu R; Neelam Sinha (ISBI, 2022)

Temporal Surgical Gesture Segmentation and Classification in Multi-gesture Robotic Surgery using Fine-tuned features and Calibrated MS-TCN. - Snigdha Agarwal; Chakka Sai Pradeep; Neelam Sinha (SPCOM, 2022)

Modified U-Net Based Covid-19 Lesion Segmentation Using CT Scans. - K. Gopika Gopan; Pavan Sudeesh Peruru; Neelam Sinha (SPCOM, 2022)

Analysis of EEG for Parkinson's Disease Detection. - Darshil Shah; K. Gopika Gopan; Neelam Sinha (SPCOM, 2022)

Analysis of single channel electroencephalographic signals for visual creativity: A pilot study. - Gopika Gopan K.; S. V. R. Aditya Reddy; Madhav Rao; Neelam Sinha (Biomed. Signal Process. Control., 2022)

YOLOv7-DocInstSeg: Efficient Instance Segmentation Framework for Document Analysis and Recognition. - Vamshi Krishna Kancharla; Neelam Sinha (AIMLSystems, 2023)

Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision. - Naveen Kanigiri; Manohar Suggula; Debanjali Bhattacharya; Neelam Sinha (AIMLSystems, 2023)

CAM Based Fine-grained Spatial Feature Supervision On Surgical-PPE: A New Dataset For Surgical PPE Kit Presence Detection. - Chakka Sai Pradeep; Neelam Sinha (EMBC, 2023)

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 (ICASSP, 2023)

Intracranial Hemorrhage Detection and Category Classification Using Attention Aware Pure Convnets. - Snigdha Agarwal; Neelam Sinha (ISBI, 2023)

3D Segmentation of Unruptured Intracranial Aneurysms using Task Specific Transfer Learning and Pure Convnets. - Snigdha Agarwal; Neelam Sinha (MLSP, 2023)

Spatial Encoding of EEG Brain Wave Signals to Predict Student's Mental State During E-Learning. - Sai Krishna Kopparapu; Debanjali Bhattacharya; Neelam Sinha (MLSP, 2023)

Analysis of Mild Cognitive Impairment Utilizing Covariance Matrices of Brain Regions. - Ammu R; Neelam Sinha (MLSP, 2023)

Spatial Encoding of BOLD fMRI Time Series for Categorizing Static Images Across Visual Datasets: A Pilot Study on Human Vision. - Vamshi Krishna Kancharala; Debanjali Bhattacharya; Neelam Sinha (TENCON, 2023)

Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data. - Chakka Sai Pradeep; Neelam Sinha (CoRR, 2023)

Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5. - Vamshi Krishna Kancharla; Debanjali Bhattacharya; Neelam Sinha; Jitender Saini; Pramod Kumar Pal; M. Sandhya (CoRR, 2023)

Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data. - Sai Pradeep Chakka; Sunil Kumar Vengalil; Neelam Sinha (CoRR, 2023)

Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning. - Debanjali Bhattacharya; Neelam Sinha; Yashwanth Ramamurthi; Amit Chattopadhyay (CoRR, 2023)

Self-supervised Siamese Network Using Vision Transformer for Depth Estimation in Endoscopic Surgeries. - Snigdha Agarwal; Neelam Sinha (ICPR (12), 2024)

Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment. - Ninad Aithal; Debanjali Bhattacharya; Neelam Sinha; Thomas Gregor Issac (ICPR (12), 2024)

Dementia Disease Progression Analysis from 2D Cellular Automata Architecture. - Siva Manohar Reddy Kesu; Neelam Sinha; Hariharan Ramasangu (ICVGIP, 2024)

Time-Invariant Latent Space Signatures for Enhanced Time-Frequency Domain Representation. - Chakka Sai Pradeep; Neelam Sinha (IJCNN, 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 (ISBI, 2024)

MCI Detection Using FMRI Time Series Embeddings of Recurrence Plots. - Ninad Aithal; Chakka Sai Pradeep; Neelam Sinha (ISBI, 2024)

Analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology. - Debanjali Bhattacharya; Ninad Aithal; Manish Jayswal; Neelam Sinha (TGI3@MICCAI, 2024)

Identification of Stochasticity by Matrix-Decomposition: Applied on Black Hole Data. - Chakka Sai Pradeep; Neelam Sinha (SPCOM, 2024)

Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI. - Ammu R; Debanjali Bhattacharya; Ameiy Acharya; Ninad Aithal; Neelam Sinha (CoRR, 2024)

Towards understanding the nature of direct functional connectivity in visual brain network. - Debanjali Bhattacharya; Neelam Sinha (CoRR, 2024)

Overcoming Scene Context Constraints for Object Detection in wild using Defilters. - Vamshi Krishna Kancharla; Neelam Sinha (CoRR, 2024)

MRI Volume-Based Robust Brain Age Estimation Using Weight-Shared Spatial Attention in 3D CNNs. - Vamshi Krishna Kancharla; Neelam Sinha (CoRR, 2024)

Classification of Alzheimer's Dementia vs. Healthy subjects by studying structural disparities in fMRI Time-Series of DMN. - Sneha Noble; Chakka Sai Pradeep; Neelam Sinha; Thomas Gregor Issac (CoRR, 2024)

Non-linear Analysis Based ECG Classification of Cardiovascular Disorders. - Suraj Kumar Behera; Debanjali Bhattacharya; Ninad Aithal; Neelam Sinha (CoRR, 2024)

Bayesian Network Modeling of Causal Influence within Cognitive Domains and Clinical Dementia Severity Ratings for Western and Indian Cohorts. - Wupadrasta Santosh Kumar; Sayali Rajendra Bhutare; Neelam Sinha; Thomas Gregor Issac (CoRR, 2024)

Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations. - Debanjali Bhattacharya; Rajneet Kaur; Ninad Aithal; Neelam Sinha; Thomas Gregor Issac (CoRR, 2024)

CAM based fine-grained spatial feature supervision for hierarchical yoga pose classification using multi-stage transfer learning. - Sai Pradeep Chakka; Neelam Sinha (Expert Syst. Appl., 2024)

Alzheimer's Disease Classification Using Retinal OCT: TransnetOCT and Swin Transformer Models. - Siva Manohar Reddy Kesu; Neelam Sinha; Hariharan Ramasangu; Thomas Gregor Issac (CoRR, 2025)

Graph Classification and Radiomics Signature for Identification of Tuberculous Meningitis. - Snigdha Agarwal; Ganaraja V. H; Neelam Sinha; Abhilasha Indoria; Netravathi M; Jitender Saini (CoRR, 2025)

Chest X-ray Classification using Deep Convolution Models on Low-resolution images with Uncertain Labels. - Snigdha Agarwal; Neelam Sinha (CoRR, 2025)