Neelam Sinha - RankMe

92 papers B 5C 4Misc 2Journal 33Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interpreting Kolmogorov-Arnold Networks in Neuroimaging: A Path-Based Attribution Framework. Trans. Mach. Learn. Res. Suhrud Murthy, Venkatesh Babu Radhakrishnan, Neelam Sinha
2026	J	`jnl`	Multi-Task Learning with Additive U-Net for Image Denoising and Classification. CoRR Vikram Lakkavalli, Neelam Sinha
2025	J	`jnl`	A Novel Vascular Risk Scoring Framework for Quantifying Sex-Specific Cerebral Perfusion from 3D pCASL MRI. CoRR Sneha Noble, Neelam Sinha, Vaanathi Sundareshan, Thomas Gregor Issac
2025	J	`jnl`	Alzheimer's Disease Classification Using Retinal OCT: TransnetOCT and Swin Transformer Models. CoRR Siva Manohar Reddy Kesu, Neelam Sinha, Hariharan Ramasangu, Thomas Gregor Issac
2025	J	`jnl`	Chest X-ray Classification using Deep Convolution Models on Low-resolution images with Uncertain Labels. CoRR Snigdha Agarwal, Neelam Sinha
2025	J	`jnl`	Graph Classification and Radiomics Signature for Identification of Tuberculous Meningitis. CoRR Snigdha Agarwal, Ganaraja V. H, Neelam Sinha, Abhilasha Indoria, Netravathi M, Jitender Saini
2025	J	`jnl`	Towards understanding the functional connectivity patterns in visual brain network. Medical Biol. Eng. Comput. Debanjali Bhattacharya, Neelam Sinha
2025	J	`jnl`	sMRI-based Brain Age Estimation in MCI using Persistent Homology. CoRR Debanjali Bhattacharya, Neelam Sinha
2024	—	`conf`	Analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology. TGI3@MICCAI Debanjali Bhattacharya, Ninad Aithal, Manish Jayswal, Neelam Sinha
2024	J	`jnl`	Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology. CoRR Debanjali Bhattacharya, Ninad Aithal, Manish Jayswal, Neelam Sinha
2024	J	`jnl`	Bayesian Network Modeling of Causal Influence within Cognitive Domains and Clinical Dementia Severity Ratings for Western and Indian Cohorts. CoRR Wupadrasta Santosh Kumar, Sayali Rajendra Bhutare, Neelam Sinha, Thomas Gregor Issac
2024	J	`jnl`	CAM based fine-grained spatial feature supervision for hierarchical yoga pose classification using multi-stage transfer learning. Expert Syst. Appl. Sai Pradeep Chakka, Neelam Sinha
2024	J	`jnl`	Classification of Alzheimer's Dementia vs. Healthy subjects by studying structural disparities in fMRI Time-Series of DMN. CoRR Sneha Noble, Chakka Sai Pradeep, Neelam Sinha, Thomas Gregor Issac
2024	—	`conf`	Dementia Disease Progression Analysis from 2D Cellular Automata Architecture. ICVGIP Siva Manohar Reddy Kesu, Neelam Sinha, Hariharan Ramasangu
2024	—	`conf`	Identification of Stochasticity by Matrix-Decomposition: Applied on Black Hole Data. SPCOM Chakka Sai Pradeep, Neelam Sinha
2024	—	`conf`	Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment. ICPR (12) Ninad Aithal, Debanjali Bhattacharya, Neelam Sinha, Thomas Gregor Issac
2024	J	`jnl`	Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment. CoRR Ninad Aithal, Debanjali Bhattacharya, Neelam Sinha, Thomas Gregor Issac
2024	—	`conf`	Localizing and Assessing Node Significance in Default Mode Network Using Sub-Community Detection in Mild Cognitive Impairment. ISBI Ameiy Acharya, Chakka Sai Pradeep, Neelam Sinha
2024	—	`conf`	MCI Detection Using FMRI Time Series Embeddings of Recurrence Plots. ISBI Ninad Aithal, Chakka Sai Pradeep, Neelam Sinha
2024	J	`jnl`	MRI Volume-Based Robust Brain Age Estimation Using Weight-Shared Spatial Attention in 3D CNNs. CoRR Vamshi Krishna Kancharla, Neelam Sinha
2024	J	`jnl`	Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI. CoRR Ammu R, Debanjali Bhattacharya, Ameiy Acharya, Ninad Aithal, Neelam Sinha
2024	J	`jnl`	Non-linear Analysis Based ECG Classification of Cardiovascular Disorders. CoRR Suraj Kumar Behera, Debanjali Bhattacharya, Ninad Aithal, Neelam Sinha
2024	J	`jnl`	Overcoming Scene Context Constraints for Object Detection in wild using Defilters. CoRR Vamshi Krishna Kancharla, Neelam Sinha
2024	J	`jnl`	Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations. CoRR Debanjali Bhattacharya, Rajneet Kaur, Ninad Aithal, Neelam Sinha, Thomas Gregor Issac
2024	—	`conf`	Self-supervised Siamese Network Using Vision Transformer for Depth Estimation in Endoscopic Surgeries. ICPR (12) Snigdha Agarwal, Neelam Sinha
2024	B	`conf`	Time-Invariant Latent Space Signatures for Enhanced Time-Frequency Domain Representation. IJCNN Chakka Sai Pradeep, Neelam Sinha
2024	J	`jnl`	Towards understanding the nature of direct functional connectivity in visual brain network. CoRR Debanjali Bhattacharya, Neelam Sinha
2023	—	`conf`	3D Segmentation of Unruptured Intracranial Aneurysms using Task Specific Transfer Learning and Pure Convnets. MLSP Snigdha Agarwal, Neelam Sinha
2023	—	`conf`	Analysis of Mild Cognitive Impairment Utilizing Covariance Matrices of Brain Regions. MLSP Ammu R, Neelam Sinha
2023	—	`conf`	CAM Based Fine-grained Spatial Feature Supervision On Surgical-PPE: A New Dataset For Surgical PPE Kit Presence Detection. EMBC Chakka Sai Pradeep, Neelam Sinha
2023	J	`jnl`	Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data. CoRR Sai Pradeep Chakka, Sunil Kumar Vengalil, Neelam Sinha
2023	J	`jnl`	Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data. CoRR Chakka Sai Pradeep, Neelam Sinha
2023	J	`jnl`	Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning. CoRR Debanjali Bhattacharya, Neelam Sinha, Yashwanth Ramamurthi, Amit Chattopadhyay
2023	J	`jnl`	Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5. CoRR Vamshi Krishna Kancharla, Debanjali Bhattacharya, Neelam Sinha, Jitender Saini, Pramod Kumar Pal, M. Sandhya
2023	—	`conf`	Intracranial Hemorrhage Detection and Category Classification Using Attention Aware Pure Convnets. ISBI Snigdha Agarwal, Neelam Sinha
2023	—	`conf`	Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision. AIMLSystems Naveen Kanigiri, Manohar Suggula, Debanjali Bhattacharya, Neelam Sinha
2023	J	`jnl`	Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision. CoRR Naveen Kanigiri, Manohar Suggula, Debanjali Bhattacharya, Neelam Sinha
2023	J	`jnl`	Localizing and Assessing Node Significance in Default Mode Network using Sub-Community Detection in Mild Cognitive Impairment. CoRR Ameiy Acharya, Chakka Sai Pradeep, Neelam Sinha
2023	J	`jnl`	MCI Detection using fMRI time series embeddings of Recurrence plots. CoRR Ninad Aithal, Chakka Sai Pradeep, Neelam Sinha
2023	Misc	`conf`	Measuring Deviation from Stochasticity in Time-Series Using Autoencoder Based Time-Invariant Representation: Application to Black Hole Data. ICASSP Chakka Sai Pradeep, Neelam Sinha, Banibrata Mukhopadhyay
2023	C	`conf`	Spatial Encoding of BOLD fMRI Time Series for Categorizing Static Images Across Visual Datasets: A Pilot Study on Human Vision. TENCON Vamshi Krishna Kancharala, Debanjali Bhattacharya, Neelam Sinha
2023	—	`conf`	Spatial Encoding of EEG Brain Wave Signals to Predict Student's Mental State During E-Learning. MLSP Sai Krishna Kopparapu, Debanjali Bhattacharya, Neelam Sinha
2023	J	`jnl`	Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision. CoRR Vamshi Krishna Kancharala, Debanjali Bhattacharya, Neelam Sinha
2023	—	`conf`	YOLOv7-DocInstSeg: Efficient Instance Segmentation Framework for Document Analysis and Recognition. AIMLSystems Vamshi Krishna Kancharla, Neelam Sinha
2022	—	`conf`	Analysis of EEG for Parkinson's Disease Detection. SPCOM Darshil Shah, K. Gopika Gopan, Neelam Sinha
2022	J	`jnl`	Analysis of single channel electroencephalographic signals for visual creativity: A pilot study. Biomed. Signal Process. Control. Gopika Gopan K., S. V. R. Aditya Reddy, Madhav Rao, Neelam Sinha
2022	B	`conf`	Deep Learning Based EEG Analysis Using Video Analytics. ICIP Darshil Shah, Meghna Govind, Gopika Gopan K, Neelam Sinha
2022	—	`conf`	Fused Multilayer Layer-CAM Fine-Grained Spatial Feature Supervision for Surgical Phase Classification Using CNNs. ECCV Workshops (6) Chakka Sai Pradeep, Neelam Sinha
2022	—	`conf`	Inter-channel Covariance Matrices Based Analyses of EEG Baselines. EUSIPCO Gopika Gopan K., Neelam Sinha, Dinesh Babu J.
2022	—	`conf`	Modified U-Net Based Covid-19 Lesion Segmentation Using CT Scans. SPCOM K. Gopika Gopan, Pavan Sudeesh Peruru, Neelam Sinha
2022	—	`conf`	Multi-Tasking DSSD Architecture for Laparoscopic Cholecystectomy Surgical Assistance Systems. ISBI Chakka Sai Pradeep, Neelam Sinha
2022	—	`conf`	Multi-view Learning with Two-stage Training of 2D CNNs for Tumor Sub-regions Segmentation from 3D Brain MRI Volumes. ICVGIP Ritu Lahoti, Neelam Sinha, Vinod V. Reddy
2022	—	`conf`	Novel Complex AUTOMAP for Accelerated MRI. ICVGIP Poornima Jain, Punith B. Venkategowda, Neelam Sinha
2022	—	`conf`	Supervised Contrastive Multi-tasking Learning Based Hierarchical Yoga Pose Classification Using CNNs. ICVGIP Sai Pradeep Chakka, Neelam Sinha
2022	—	`conf`	Temporal Surgical Gesture Segmentation and Classification in Multi-gesture Robotic Surgery using Fine-tuned features and Calibrated MS-TCN. SPCOM Snigdha Agarwal, Chakka Sai Pradeep, Neelam Sinha
2022	—	`conf`	The Complex-valued PD-net for MRI reconstruction of knee images. EMBC Poornima Jain, Chakka Sai Pradeep, Neelam Sinha
2022	—	`conf`	Transfer Learning for Fundus Image Quality Assessment Using Discriminating Patches. ISBI Ammu R, Neelam Sinha
2022	—	`conf`	VCA-Net: Visual Creativity Analysis using Deep Neural Network✱. ICVGIP Darshil Shah, Gopika Gopan K, Neelam Sinha
2021	—	`conf`	Analysis of vascular dysregulation caused by infiltrating glioma cells using bold fMRI. ICVGIP Ammu R, Rajikha Raja, Neelam Sinha, Jitender Saini
2021	B	`conf`	Class Specific Interpretability in CNN Using Causal Analysis. ICIP Ankit Yadu, P. K. Suhas, Neelam Sinha
2021	C	`conf`	Classification of Human Emotions using EEG-based Causal Connectivity Patterns. CIBCB J. Siva Ramakrishna, Neelam Sinha, Hariharan Ramasangu
2021	—	`conf`	Multi-stage Transfer Learning Based Yoga Pose Recognition Using CNN. PReMI Chakka Sai Pradeep, Neelam Sinha
2021	J	`jnl`	SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation. CoRR Ammu R, Neelam Sinha
2021	—	`conf`	Semi-supervised Learning Using Variational Autoencoder - A Cluster Based Approach. PReMI Sunil Kumar Vengalil, Neelam Sinha
2021	Misc	`conf`	Signature Feature Marking Enhanced IRM Framework for Drone Image Analysis in Precision Agriculture. ICASSP Atharva Kadethankar, Neelam Sinha, Vinayaka Hegde, Abhishek Burman
2021	—	`conf`	Spatio-Temporal Features Based Surgical Phase Classification Using CNNs. EMBC Chakka Sai Pradeep, Neelam Sinha
2021	J	`jnl`	Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks. CoRR Sunil Kumar Vengalil, Neelam Sinha
2021	J	`jnl`	Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks. CoRR Yogesh Kochar, Sunil Kumar Vengalil, Neelam Sinha
2021	—	`conf`	Whole Tumor Segmentation from Brain MR images using Multi-view 2D Convolutional Neural Network. EMBC Ritu Lahoti, Sunil Kumar Vengalil, Punith B. Venkategowda, Neelam Sinha, Vinod Veera Reddy
2020	—	`conf`	Deep Learning Based Detection of Rhinoceros Beetle Infestation in Coconut Trees Using Drone Imagery. CVIP (1) Atharva Kadethankar, Neelam Sinha, Abhishek Burman, Vinayaka Hegde
2020	—	`conf`	Radial Cumulative Frequency Distribution: A New Imaging Signature to Detect Chromosomal Arms 1p/19q Co-deletion Status in Glioma. CVIP (1) Debanjali Bhattacharya, Neelam Sinha, Jitender Saini
2020	—	`conf`	Small Segment Emphasized Performance Evaluation Metric for Medical Images. SPCOM Ammu R, Neelam Sinha
2019	—	`conf`	Alcoholic EEG Analysis Using Riemann Geometry Based Framework. EUSIPCO Gopika Gopan K., Neelam Sinha, Dinesh Babu Jayagopi
2019	C	`conf`	Detection of Chromosomal Arms 1p/19q Codeletion in Low Graded Glioma using Probability Distribution of MRI Volume Heterogeneity. TENCON Debanjali Bhattacharya, Neelam Sinha, Jitender Saini
2019	C	`conf`	Structural MRI based texture analysis of corpus callosum in patients with Progressive Supraneuclear Palsy. TENCON Debanjali Bhattacharya, Sunil Kumar Vengalil, Neelam Sinha, Jitender Saini, Pramod Kumar Pal, M. Sandhya
2018	—	`conf`	An improved approach of high graded glioma segmentation using sparse autoencoder and fuzzy c-means clustering from multi-modal MR images. Biomedical Applications in Molecular, Structural, and Functional Imaging Debanjali Bhattacharya, Neelam Sinha
2018	—	`conf`	Video Key Frame Detection Using Block Sparse Coding. CVIP (1) Hema Sundara Srinivasula Reddy GogiReddy, Neelam Sinha
2017	—	`conf`	Quantitative analysis of structural variations in corpus callosum in adults with multiple system atrophy (MSA). Biomedical Applications in Molecular, Structural, and Functional Imaging Debanjali Bhattacharya, Neelam Sinha, Jitender Saini
2016	—	`conf`	Analyzing Cognitive States Using fMRI Data. MIUA Pankaj Pandey, Byom Kesh Jha, Neelam Sinha
2016	J	`jnl`	Cognitive state classification using transformed fMRI data. CoRR Hariharan Ramasangu, Neelam Sinha
2016	—	`conf`	Customizing CNNs for blood vessel segmentation from fundus images. SPCOM Sunil Kumar Vengalil, Neelam Sinha, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2016	—	`conf`	Distribution Based EEG Baseline Classification. ICVGIP Workshops Gopika Gopan K., Neelam Sinha, Dinesh Babu J.
2015	—	`conf`	EEG signal classification in non-linear framework with filtered training data. EUSIPCO K. Gopika Gopan, Neelam Sinha, Dinesh Babu J.
2015	—	`conf`	Statistical features based epileptic seizure EEG detection - an efficacy evaluation. ICACCI Gopika Gopan K., Neelam Sinha, Dinesh Babu J.
2014	B	`conf`	Classification of essential tremors (ET) disorder and healthy controls using a masking technique. Image Processing Rakshatha P. Krishnamurthy, Neelam Sinha, Jitender Saini, Pramod Kumar Pal
2013	—	`conf`	Edge-enhanced Dynamic MR imaging using compressed sensing. ICACCI Rajikha Raja, Neelam Sinha
2012	—	`conf`	Distinguishing cognitive states using iterative classification. ICVGIP Rakshatha P. Krishnamurthy, Vishal Vijayakumar, Neelam Sinha, Phaneendra K. Yalavarthy
2012	B	`conf`	Optic disk localization using L1 minimization. ICIP Neelam Sinha, R. Venkatesh Babu
2010	J	`jnl`	A Class of Optimal Quaternary Codes. Ars Comb. Kishore Sinha, Neelam Sinha
2007	—	`conf`	Parallel Magnetic Resonance Imaging using Neural Networks. ICIP (3) Neelam Sinha, Manojkumar Saranathan, Kalpathi R. Ramakrishnan, Suresh Sundaram
2006	—	`conf`	Ultra-Fast fMRI Imaging with High-Fidelity Activation Map. ICONIP (2) Neelam Sinha, Manojkumar Saranathan, A. G. Ramakrishnan, Juan Zhou, Jagath C. Rajapakse
2002	—	`conf`	Blood Cell Segmentation Using EM Algorithm. ICVGIP Neelam Sinha, A. G. Ramakrishnan