1 code implementation • 24 Jun 2023 • Chaarvi Bansal, Rohitash Chandra, Vinti Agarwal, P. R. Deepa
The dataset consists of 438 drugs, of which 224 are under clinical trials for COVID-19 (category A).
no code implementations • 11 Nov 2022 • Hari Om Aggrawal, Dipam Goswami, Vinti Agarwal
We use this knowledge as a prior for classifying and detecting cells in images with only a few ground truth bounding box annotations, while most of the cells are annotated with points.
1 code implementation • 1 Aug 2022 • Rohitash Chandra, Chaarvi Bansal, Mingyue Kang, Tom Blau, Vinti Agarwal, Pranjal Singh, Laurence O. W. Wilson, Seshadri Vasan
This paper presents a framework that utilizes unsupervised machine learning methods to discriminate and visualize the associations between major COVID-19 variants based on their genome sequences.
1 code implementation • 19 Nov 2021 • Dipam Goswami, Hari Om Aggrawal, Rajiv Gupta, Vinti Agarwal
To alleviate the need for urine datsets, we prepare our urine sediment microscopic image (UMID) dataset comprising of around 3700 cell annotations and 3 categories of cells namely RBC, pus and epithelial cells.