94 citations · 140 across the 8 of their papers we have counts for
8 papers
Impact of the composition of feature extraction and class sampling in medicare fraud detection
Akrity Kumari, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
With healthcare being critical aspect, health insurance has become an important scheme in minimizing medical expenses. Following this, the healthcare industry has seen a significan…
Anomaly detection in surveillance videos using transformer based attention model
Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Surveillance footage can catch a wide range of realistic anomalies. This research suggests using a weakly supervised strategy to avoid annotating anomalous segments in training vid…
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…
Recommending best course of treatment based on similarities of prognostic markers
Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
With the advancement in the technology sector spanning over every field, a huge influx of information is inevitable. Among all the opportunities that the advancements in the techno…
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…