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Dive Into the New Age of Bio-AI research

Our Teams published software

Physics based sub-cellular organelles simulation

For generation of sub-cellular organelles using physics based AI.

Souce code -

For more details - CVPR 2020 paper . Sekh, A. A., Opstad, I. S., Birgisdottir, A. B., Myrmel, T., Ahluwalia, B. S., Agarwal, K., & Prasad, D. K. (2020). Learning nanoscale motion patterns of vesicles in living cells. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 14014-14023). 

COVID-19 country-wise risk prediction using AI

Dataset and source code -

Neural network based country wise risk prediction of COVID-19.

For more details - Pal, R., Sekh, A. A., Kar, S., & Prasad, D. K. (2020). Neural network based country wise risk prediction of COVID-19. Applied Sciences, 10(18), 6448. Link

For disease classification using OCT data

For source code, dataset and pretrained model on 2 public datasets and AIIMS dataset.

A.Butola, D. K. Prasad, A. Ahmad, V. Dubey, D. Qaiser, A. Srivastava, P. Senthilkumaran, B. S. Ahluwalia, and D. S. Mehta. "Deep learning architecture LightOCT for diagnostic decision support using optical coherence tomography images of biological samples.", Biomedical Optics Express, 2020. (Source code and pretrained model)

Single image dehazing

Code and pretrained model -

Our model is Rank1 across 3 public dehazing dataset including homogeneous and among top in non-homogeneous dataset.

Related paper: A. Singh, A. Bhave, and D. K. Prasad. "Single image dehazing for a variety of haze scenarios using back projected pyramid network." In European Conference on Computer Vision Workshops, pp. 166-181. Springer, Cham, 2020.

Our research is in line with some of the UN sustainable development goals.

Link to our team Github page.
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