A clustering and graph deep learning-based framework for COVID-19 drug repurposing

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).

Clustering

Bounding Box Priors for Cell Detection with Point Annotations

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.

Cell Detection

Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

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.

BIG-bench Machine Learning Clustering +1

Urine Microscopic Image Dataset

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.