9 citations · 10 across the 5 of their papers we have counts for
5 papers
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation
Samayan Bhattacharya, Sk Shahnawaz, Avigyan Bhattacharya
Unets have become the standard method for semantic segmentation of medical images, along with fully convolutional networks (FCN). Unet++ was introduced as a variant of Unet, in ord…
Using Machine Learning to Predict Air Quality Index in New Delhi
Samayan Bhattacharya, Sk Shahnawaz
Air quality has a significant impact on human health. Degradation in air quality leads to a wide range of health issues, especially in children. The ability to predict air quality…
Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learning
Samayan Bhattacharya, Sk Shahnawaz
Animal pose estimation has recently come into the limelight due to its application in biology, zoology, and aquaculture. Deep learning methods have effectively been applied to huma…
Animal inspired Application of a Variant of Mel Spectrogram for Seismic Data Processing
Samayan Bhattacharya, Sk Shahnawaz
Predicting disaster events from seismic data is of paramount importance and can save thousands of lives, especially in earthquake-prone areas and habitations around volcanic crater…
Atrial Fibrillation: A Medical and Technological Review
Samayan Bhattacharya, Sk Shahnawaz
Atrial Fibrillation (AF) is the most common type of arrhythmia (Greek a-, loss + rhythmos, rhythm = loss of rhythm) leading to hospitalization in the United States. Though sometime…