N. S. Punn

Most-cited papers

Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
2020arXiv.org261 citations
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Modality specific U-Net variants for biomedical image segmentation: a survey
N. S. Punn, Sonali Agarwal
2021Artificial Intelligence Review246 citations Open access
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Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
N. S. Punn, Sonali Agarwal
2020Applied intelligence (Boston)203 citations Open access
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Face Mask Detection using Transfer Learning of InceptionV3
G. Chowdary, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
2020Journées Bases de Données Avancées202 citations Open access
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COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms
N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
2020medRxiv202 citations Open access
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Inception U-Net Architecture for Semantic Segmentation to Identify Nuclei in Microscopy Cell Images
N. S. Punn, Sonali Agarwal
2020ACM Trans. Multim. Comput. Commun. Appl.128 citations
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RCA-IUnet: a residual cross-spatial attention-guided inception U-Net model for tumor segmentation in breast ultrasound imaging
N. S. Punn, Sonali Agarwal
2021Machine Vision and Applications91 citations Open access
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Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review
Sonali Agarwal, N. S. Punn, S. K. Sonbhadra, P. Nagabhushan +2 more
2020arXiv.org68 citations
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BT-Unet: A self-supervised learning framework for biomedical image segmentation using barlow twins with U-net models
N. S. Punn, Sonali Agarwal
2021Machine-mediated learning58 citations Open access
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BERT-Based Sentiment Analysis: A Software Engineering Perspective
Himanshu Batra, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
2021International Conference on Database and Expert Systems Applications57 citations Open access
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Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation
N. S. Punn, Sonali Agarwal
2020Multimedia tools and applications51 citations
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CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images
N. S. Punn, Sonali Agarwal
2020Neural Processing Letters38 citations Open access
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Hate speech detection using static BERT embeddings
G. Rajput, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
2021Journées Bases de Données Avancées32 citations Open access
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Anomaly detection in surveillance videos using transformer based attention model
Kapil Deshpande, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
2022International Conference on Neural Information Processing24 citations Open access
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White blood cell subtype detection and classification
N. Praveen, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal +2 more
20212021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)21 citations Open access
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Crowd Analysis for Congestion Control Early Warning System on Foot Over Bridge
N. S. Punn, Sonali Agarwal
2019International Conference on Contemporary Computing21 citations
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MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification
S. Gupta, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
2021Journées Bases de Données Avancées20 citations Open access
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Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function
Nikhil Nasalwai, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
2021Pacific-Asia Conference on Knowledge Discovery and Data Mining19 citations
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Liver fibrosis classification from ultrasound using machine learning: a systematic literature review
N. S. Punn, Bhavik N. Patel, Imon Banerjee
2023Abdominal Radiology13 citations
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Impact of Attention on Adversarial Robustness of Image Classification Models
Prachi Agrawal, N. S. Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
20212021 IEEE International Conference on Big Data (Big Data)8 citations Open access
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Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning
Uppala Sumanth, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
2020Data Management, Analytics and Innovation8 citations Open access
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Testing Big Data Application
N. S. Punn, Sonali Agarwal, M. Syafrullah, K. Adiyarta
20192019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)8 citations
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CTAUNet: Improved retinal blood vessel segmentation with collaborative transformer attention U-Net
N. S. Punn, Sunil Kumar
2025Neural computing & applications (Print)6 citations
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Impact of the composition of feature extraction and class sampling in medicare fraud detection
Akrity Kumari, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
2022International Conference on Neural Information Processing6 citations Open access
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Fruit classification using deep feature maps in the presence of deceptive similar classes
Mohit Dandekar, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal +1 more
2020IEEE International Joint Conference on Neural Network6 citations Open access
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CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images
N. S. Punn, Sonali Agarwal
2020arXiv.org6 citations
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Ensemble Meta-Learning using SVM for Improving Cardiovascular Disease Risk Prediction
N. S. Punn, Deepak Kumar Dewangan
2024medRxiv4 citations Open access
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Cerebral palsy detection from infant using movements of their salient body parts and a feature fusion model
Subodh Rajpopat, Sunil Kumar, N. S. Punn
2024Journal of Supercomputing4 citations
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Machine learning equipped web based disease prediction and recommender system
Harish Rajora, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
20214 citations
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Towards Machine Learning to Machine Wisdom: A Potential Quest
P. Nagabhushan, S. K. Sonbhadra, N. S. Punn, Sonali Agarwal
2021Journées Bases de Données Avancées3 citations
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DINOv2KAN: Kolmogorov-Arnold Network with DINOv2 Vision Transformer for enhanced characterization of Alzheimer's Disease
Soham Lahiri, Akanksha Dhar, N. S. Punn, Bikash Santra
2026Biomedical Signal Processing and Control2 citations
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Enhanced QSAR Modeling for Drug Discovery: Leveraging Advanced Computational Tools and Techniques
M. C. Tanay, Rahul Rathnam, P. Krishna, Mrinal Devnath +1 more
20242024 IEEE Region 10 Symposium (TENSYMP)2 citations
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LWU-Net approach for Efficient Gastro-Intestinal Tract Image Segmentation in Resource-Constrained Environments
M. J. Sai, N. S. Punn
2023medRxiv2 citations Open access
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Web based disease prediction and recommender system
Harish Rajora, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
2021arXiv.org2 citations
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Recommending best course of treatment based on similarities of prognostic markers
Sudhanshu, N. S. Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
2021International Conference on Neural Information Processing2 citations Open access
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MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification
Sachin Gupta, N. S. Punn, S. K. Sonbhadra, Sonali Agarwal
2021arXiv.org1 citations
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EVC-Net: A Hybrid Deep Learning Network for Breast Cancer Classification from Histopathological Images
S. Kushwah, N. S. Punn, M. Bhattacharya
2026ACM Transactions on Intelligent Systems and Technology0 citations
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Synthesizing Functional Insights from Structural MRI for Alzheimer's Detection Using Deep Correlation Multimodal Image Learning
Soham Lahiri, Priyanka Srivastava, N. S. Punn, Bikash Santra
2026IEEE International Symposium on Biomedical Imaging0 citations
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Hierarchical Attention Lightweight U-Net for Gastro-Intestinal Tract Segmentation
Jayanth Sai Marreddi, N. S. Punn
2026ACM Trans. Comput. Heal.0 citations Open access
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Integrating Clinical Evidence Into Health Insurance Pricing: A CatBoost-Centered Stacking Approach
B. Sriram, N. S. Punn, Vivek Tiwari, Sunil Kumar
20262026 5th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.00 citations
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Enhancing robustness against adversarial attacks in biomedical image classification through squeezed quantized self-supervised contrastive learning
N. S. Punn, S. Tapaswi
2026Biomedical Signal Processing and Control0 citations
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RMTA-Net: recurrent conditioned memory-guided temporal attention with spatial feature enhancement for video anomaly detection
Santosh Prakash Chouhan, N. S. Punn, M. Bhattacharya
2026Complex & Intelligent Systems0 citations Open access
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LTM-UNet: Linear Transformer–Mamba with Attention-Based U-Net for Context-Aware Breast Ultrasound Image Segmentation
S. Kushwah, Santosh Prakash Chouhan, N. S. Punn, M. Bhattacharya
2026Diagnostics0 citations Open access
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KS-TMIL: A K-Stage Transformer approach with multiple instance learning model for ovarian cancer subtype classification
M. J. Sai, N. S. Punn
2025Comput. Biol. Medicine0 citations
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AEGC-Net: Attention-Enhanced Grad-CAM Network for Breast Cancer Histopathology Classification
B. Kumar, Mrinal Devnath, N. S. Punn
2025International Conference on Computational Intelligence and Communication Networks0 citations
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Unleashing Password Potential: VAEs vs GANs in a Password Guessing Duel
Siddhant Salve, N. S. Punn, Deepak Kumar Dewangan, Sonali Agarwal
20242024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)0 citations
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2.5D Deep Learning Approach for Precise Image Segmentation of Gastro-Intestinal Tract
Jayanth Sai Marreddi, N. S. Punn
20242024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)0 citations
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Testing Concept Drift Detection Technique on Data Stream
N. S. Punn, Sonali Agarwal
2018Journées Bases de Données Avancées0 citations
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