Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs

1 code implementation • 4 Nov 2023 • Fei He, Zhiyuan Yang, Mingyue Gao, Biplab Poudel, Newgin Sam Ebin Sam Dhas, Rajan Gyawali, Ashwin Dhakal, Jianlin Cheng, Dong Xu

Cryo-electron microscopy (cryo-EM) remains pivotal in structural biology, yet the task of protein particle picking, integral for 3D protein structure construction, is laden with manual inefficiencies.

Image Segmentation object-detection +2

Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5

no code implementations • 13 Apr 2023 • Elham Soltanikazemi, Ashwin Dhakal, Bijaya Kumar Hatuwal, Imad Eddine Toubal, Armstrong Aboah, Kannappan Palaniappan

The results demonstrate impressive precision, recall, and mAP scores of 0. 848, 0. 599, and 0. 641, respectively for the training data.

Data Augmentation object-detection +1

Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data Challenge

no code implementations • 3 Jun 2022 • Sajid Mahmud, Elham Soltanikazemi, Frimpong Boadu, Ashwin Dhakal, Jianlin Cheng

Most children infected with COVID-19 have no or mild symptoms and can recover automatically by themselves, but some pediatric COVID-19 patients need to be hospitalized or even to receive intensive medical care (e. g., invasive mechanical ventilation or cardiovascular support) to recover from the illnesses.