Narinder Singh Punn
Orcid: 0000-0003-1175-1865
According to our database1,
Narinder Singh Punn
authored at least 31 papers
between 2018 and 2022.
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Bibliography
2022
CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images.
Neural Process. Lett., 2022
RCA-IUnet: a residual cross-spatial attention-guided inception U-Net model for tumor segmentation in breast ultrasound imaging.
Mach. Vis. Appl., 2022
BT-Unet: A self-supervised learning framework for biomedical image segmentation using barlow twins with U-net models.
Mach. Learn., 2022
Artif. Intell. Rev., 2022
Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13, 2022
2021
Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation.
Multim. Tools Appl., 2021
MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification.
CoRR, 2021
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks.
Appl. Intell., 2021
Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Fruit classification using deep feature maps in the presence of deceptive similar classes.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the Database and Expert Systems Applications, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the Big Data Analytics - 9th International Conference, 2021
Proceedings of the Big Data Analytics - 9th International Conference, 2021
MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification.
Proceedings of the Big Data Analytics - 9th International Conference, 2021
2020
Inception U-Net Architecture for Semantic Segmentation to Identify Nuclei in Microscopy Cell Images.
ACM Trans. Multim. Comput. Commun. Appl., 2020
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images.
CoRR, 2020
Fruit classification using deep feature maps in the presence of deceptive similar classes.
CoRR, 2020
CoRR, 2020
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review.
CoRR, 2020
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques.
CoRR, 2020
Proceedings of the Big Data Analytics - 8th International Conference, 2020
2019
Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019
2018
Proceedings of the Big Data Analytics - 6th International Conference, 2018