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2020 – today
- 2024
[j3]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: 123625 (2024)- [c54]Chakka Sai Pradeep, Neelam Sinha:
Time-Invariant Latent Space Signatures for Enhanced Time-Frequency Domain Representation. IJCNN 2024: 1-8 - [c53]Ameiy Acharya, Chakka Sai Pradeep, Neelam Sinha:
Localizing and Assessing Node Significance in Default Mode Network Using Sub-Community Detection in Mild Cognitive Impairment. ISBI 2024: 1-4 - [c52]Ninad Aithal, Chakka Sai Pradeep, Neelam Sinha:
MCI Detection Using FMRI Time Series Embeddings of Recurrence Plots. ISBI 2024: 1-4 - [c51]Debanjali Bhattacharya, Ninad Aithal, Manish Jayswal, Neelam Sinha:
Analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology. TGI3@MICCAI 2024: 33-42 - [i21]Ammu R, Debanjali Bhattacharya, Ameiy Acharya, Ninad Aithal, Neelam Sinha:
Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI. CoRR abs/2402.02811 (2024) - [i20]Debanjali Bhattacharya, Neelam Sinha:
Towards understanding the nature of direct functional connectivity in visual brain network. CoRR abs/2403.11480 (2024) - [i19]Vamshi Krishna Kancharla, Neelam Sinha:
Overcoming Scene Context Constraints for Object Detection in wild using Defilters. CoRR abs/2404.08293 (2024) - [i18]Vamshi Krishna Kancharla, Neelam Sinha:
MRI Volume-Based Robust Brain Age Estimation Using Weight-Shared Spatial Attention in 3D CNNs. CoRR abs/2407.06686 (2024) - [i17]Debanjali Bhattacharya, Ninad Aithal, Manish Jayswal, Neelam Sinha:
Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology. CoRR abs/2407.17938 (2024) - [i16]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 abs/2407.19990 (2024) - [i15]Suraj Kumar Behera, Debanjali Bhattacharya, Ninad Aithal, Neelam Sinha:
Non-linear Analysis Based ECG Classification of Cardiovascular Disorders. CoRR abs/2408.01542 (2024) - [i14]Wupadrasta Santosh Kumar, Sayali Rajendra Bhutare, Neelam Sinha, Thomas Gregor Issac:
Bayesian Network Modeling of Causal Influence within Cognitive Domains and Clinical Dementia Severity Ratings for Western and Indian Cohorts. CoRR abs/2408.12669 (2024) - [i13]Ninad Aithal, Debanjali Bhattacharya, Neelam Sinha, Thomas Gregor Issac:
Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment. CoRR abs/2408.15647 (2024) - 2023
- [c50]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: 6:1-6:6 - [c49]Vamshi Krishna Kancharla, Neelam Sinha:
YOLOv7-DocInstSeg: Efficient Instance Segmentation Framework for Document Analysis and Recognition. AIMLSystems 2023: 12:1-12:6 - [c48]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: 1-5 - [c47]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: 1-5 - [c46]Snigdha Agarwal, Neelam Sinha:
Intracranial Hemorrhage Detection and Category Classification Using Attention Aware Pure Convnets. ISBI 2023: 1-5 - [c45]Snigdha Agarwal, Neelam Sinha:
3D Segmentation of Unruptured Intracranial Aneurysms using Task Specific Transfer Learning and Pure Convnets. MLSP 2023: 1-6 - [c44]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: 1-6 - [c43]Ammu R, Neelam Sinha:
Analysis of Mild Cognitive Impairment Utilizing Covariance Matrices of Brain Regions. MLSP 2023: 1-6 - [c42]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: 1117-1122 - [i12]Chakka Sai Pradeep, Neelam Sinha:
Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data. CoRR abs/2304.11560 (2023) - [i11]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 abs/2306.00473 (2023) - [i10]Sai Pradeep Chakka, Sunil Kumar Vengalil, Neelam Sinha:
Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data. CoRR abs/2307.07703 (2023) - [i9]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 abs/2309.03590 (2023) - [i8]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 abs/2309.15495 (2023) - [i7]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 abs/2311.08417 (2023) - [i6]Ninad Aithal, Chakka Sai Pradeep, Neelam Sinha:
MCI Detection using fMRI time series embeddings of Recurrence plots. CoRR abs/2311.18265 (2023) - [i5]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 abs/2312.01768 (2023) - 2022
- [j2]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: 103542 (2022) - [c41]Chakka Sai Pradeep, Neelam Sinha:
Fused Multilayer Layer-CAM Fine-Grained Spatial Feature Supervision for Surgical Phase Classification Using CNNs. ECCV Workshops (6) 2022: 712-726 - [c40]Poornima Jain, Chakka Sai Pradeep, Neelam Sinha:
The Complex-valued PD-net for MRI reconstruction of knee images. EMBC 2022: 2093-2096 - [c39]Gopika Gopan K., Neelam Sinha, Dinesh Babu J.:
Inter-channel Covariance Matrices Based Analyses of EEG Baselines. EUSIPCO 2022: 1303-1307 - [c38]Darshil Shah, Meghna Govind, Gopika Gopan K, Neelam Sinha:
Deep Learning Based EEG Analysis Using Video Analytics. ICIP 2022: 536-540 - [c37]Sai Pradeep Chakka, Neelam Sinha:
Supervised Contrastive Multi-tasking Learning Based Hierarchical Yoga Pose Classification Using CNNs. ICVGIP 2022: 19:1-19:9 - [c36]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: 27:1-27:8 - [c35]Darshil Shah, Gopika Gopan K, Neelam Sinha:
VCA-Net: Visual Creativity Analysis using Deep Neural Network✱. ICVGIP 2022: 34:1-34:8 - [c34]Poornima Jain, Punith B. Venkategowda, Neelam Sinha:
Novel Complex AUTOMAP for Accelerated MRI. ICVGIP 2022: 35:1-35:9 - [c33]Chakka Sai Pradeep, Neelam Sinha:
Multi-Tasking DSSD Architecture for Laparoscopic Cholecystectomy Surgical Assistance Systems. ISBI 2022: 1-4 - [c32]Ammu R, Neelam Sinha:
Transfer Learning for Fundus Image Quality Assessment Using Discriminating Patches. ISBI 2022: 1-4 - [c31]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: 1-5 - [c30]K. Gopika Gopan, Pavan Sudeesh Peruru, Neelam Sinha:
Modified U-Net Based Covid-19 Lesion Segmentation Using CT Scans. SPCOM 2022: 1-5 - [c29]Darshil Shah, K. Gopika Gopan, Neelam Sinha:
Analysis of EEG for Parkinson's Disease Detection. SPCOM 2022: 1-5 - 2021
- [c28]J. Siva Ramakrishna, Neelam Sinha, Hariharan Ramasangu:
Classification of Human Emotions using EEG-based Causal Connectivity Patterns. CIBCB 2021: 1-8 - [c27]Chakka Sai Pradeep, Neelam Sinha:
Spatio-Temporal Features Based Surgical Phase Classification Using CNNs. EMBC 2021: 3332-3335 - [c26]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: 4111-4114 - [c25]Atharva Kadethankar, Neelam Sinha, Vinayaka Hegde, Abhishek Burman:
Signature Feature Marking Enhanced IRM Framework for Drone Image Analysis in Precision Agriculture. ICASSP 2021: 2385-2389 - [c24]Ankit Yadu, P. K. Suhas, Neelam Sinha:
Class Specific Interpretability in CNN Using Causal Analysis. ICIP 2021: 3702-3706 - [c23]Ammu R, Rajikha Raja, Neelam Sinha, Jitender Saini:
Analysis of vascular dysregulation caused by infiltrating glioma cells using bold fMRI. ICVGIP 2021: 18:1-18:7 - [c22]Chakka Sai Pradeep, Neelam Sinha:
Multi-stage Transfer Learning Based Yoga Pose Recognition Using CNN. PReMI 2021: 151-159 - [c21]Sunil Kumar Vengalil, Neelam Sinha:
Semi-supervised Learning Using Variational Autoencoder - A Cluster Based Approach. PReMI 2021: 529-536 - [i4]Sunil Kumar Vengalil, Neelam Sinha:
Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks. CoRR abs/2109.00479 (2021) - [i3]Yogesh Kochar, Sunil Kumar Vengalil, Neelam Sinha:
Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks. CoRR abs/2109.01572 (2021) - [i2]Ammu R, Neelam Sinha:
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation. CoRR abs/2109.03435 (2021) - 2020
- [c20]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: 44-55 - [c19]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: 463-474 - [c18]Ammu R, Neelam Sinha:
Small Segment Emphasized Performance Evaluation Metric for Medical Images. SPCOM 2020: 1-5
2010 – 2019
- 2019
- [c17]Gopika Gopan K., Neelam Sinha, Dinesh Babu Jayagopi:
Alcoholic EEG Analysis Using Riemann Geometry Based Framework. EUSIPCO 2019: 1-5 - [c16]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: 441-446 - [c15]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: 2695-2699 - 2018
- [c14]Hema Sundara Srinivasula Reddy GogiReddy, Neelam Sinha:
Video Key Frame Detection Using Block Sparse Coding. CVIP (1) 2018: 85-93 - [c13]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: 1057813 - 2017
- [c12]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: 101371Z - 2016
- [c11]Gopika Gopan K., Neelam Sinha, Dinesh Babu J.:
Distribution Based EEG Baseline Classification. ICVGIP Workshops 2016: 314-321 - [c10]Pankaj Pandey, Byom Kesh Jha, Neelam Sinha:
Analyzing Cognitive States Using fMRI Data. MIUA 2016: 35-41 - [i1]Hariharan Ramasangu, Neelam Sinha:
Cognitive state classification using transformed fMRI data. CoRR abs/1604.05413 (2016) - 2015
- [c9]K. Gopika Gopan, Neelam Sinha, Dinesh Babu J.:
EEG signal classification in non-linear framework with filtered training data. EUSIPCO 2015: 624-628 - [c8]Gopika Gopan K., Neelam Sinha, Dinesh Babu J.:
Statistical features based epileptic seizure EEG detection - an efficacy evaluation. ICACCI 2015: 1394-1398 - 2014
- [c7]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: 90341Z - 2013
- [c6]Rajikha Raja, Neelam Sinha:
Edge-enhanced Dynamic MR imaging using compressed sensing. ICACCI 2013: 1686-1690 - 2012
- [c5]Neelam Sinha, R. Venkatesh Babu:
Optic disk localization using L1 minimization. ICIP 2012: 2829-2832 - [c4]Rakshatha P. Krishnamurthy, Vishal Vijayakumar, Neelam Sinha, Phaneendra K. Yalavarthy:
Distinguishing cognitive states using iterative classification. ICVGIP 2012: 21 - 2010
- [j1]Kishore Sinha, Neelam Sinha:
A Class of Optimal Quaternary Codes. Ars Comb. 94 (2010)
2000 – 2009
- 2007
- [c3]Neelam Sinha, Manojkumar Saranathan, Kalpathi R. Ramakrishnan, Suresh Sundaram:
Parallel Magnetic Resonance Imaging using Neural Networks. ICIP (3) 2007: 149-152 - 2006
- [c2]Neelam Sinha, Manojkumar Saranathan, A. G. Ramakrishnan, Juan Zhou, Jagath C. Rajapakse:
Ultra-Fast fMRI Imaging with High-Fidelity Activation Map. ICONIP (2) 2006: 361-368 - 2002
- [c1]Neelam Sinha, A. G. Ramakrishnan:
Blood Cell Segmentation Using EM Algorithm. ICVGIP 2002
Coauthor Index
Sai Pradeep Chakka
aka: Chakka Sai Pradeep
aka: Chakka Sai Pradeep
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last updated on 2024-11-04 21:43 CET by the dblp team
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