255 citations · 1.2k across the 18 of their papers we have counts for
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BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models
Narinder Singh Punn, Sonali Agarwal
Deep learning has brought the most profound contribution towards biomedical image segmentation to automate the process of delineation in medical imaging. To accomplish such task, t…
Impact of Attention on Adversarial Robustness of Image Classification Models
Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Adversarial attacks against deep learning models have gained significant attention and recent works have proposed explanations for the existence of adversarial examples and techniq…
White blood cell subtype detection and classification
Nalla Praveen, Narinder Singh Punn, Sanjay Kumar Sonbhadra +3
Machine learning has endless applications in the health care industry. White blood cell classification is one of the interesting and promising area of research. The classification…
RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging
Narinder Singh Punn, Sonali Agarwal
The advancements in deep learning technologies have produced immense contributions to biomedical image analysis applications. With breast cancer being the common deadliest disease…
Machine learning equipped web based disease prediction and recommender system
Harish Rajora, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Worldwide, several cases go undiagnosed due to poor healthcare support in remote areas. In this context, a centralized system is needed for effective monitoring and analysis of the…
BERT-Based Sentiment Analysis: A Software Engineering Perspective
Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Sentiment analysis can provide a suitable lead for the tools used in software engineering along with the API recommendation systems and relevant libraries to be used. In this conte…
MAG-Net: Multi-task attention guided network for brain tumor segmentation and classification
Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Brain tumor is the most common and deadliest disease that can be found in all age groups. Generally, MRI modality is adopted for identifying and diagnosing tumors by the radiologis…
Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn, Sonali Agarwal
With the advent of advancements in deep learning approaches, such as deep convolution neural network, residual neural network, adversarial network; U-Net architectures are most wid…
Hate speech detection using static BERT embeddings
Gaurav Rajput, Narinder Singh punn, Sanjay Kumar Sonbhadra +1
With increasing popularity of social media platforms hate speech is emerging as a major concern, where it expresses abusive speech that targets specific group characteristics, such…