Sartorius Cell Segmentation Competition

In this competition i detected and delineate distinct objects of interest in biological phase contrast microscopy images depicting neuronal cell types commonly used in the study of neurological disorders. At first, i tried with a UNet with transfer learning using the Imagenet weights,then , i...

BCI Predict w/ KFOLD LGBM Training and BayesianOpt

University of San Diego , California (UCSD) Neural Data Challenge.Motor Imagery (MI) for left vs right hand imagined movement is one common neural pattern Cognitive Neuroscience has identified is detectable through EEG data. In this dataset competition, I used, continuous and epoched neural...

fMRI Flanker BOLD GLM Using FSL and nilearn

In this study i ran a MVPA on the Flanker-task dataset,identifying different statistical correlations between task events and spike in Blood-oxygenated-level-dependant (BOLD) signal.After the analysis, i had in fact found a difference in activity in the Occipital Region of the brain,suggesting...

Chest X-RAY Abnormalities w/ YOLOv5

In this competition, I've used Transfer Learning on YOLOV5 using the COCO weights to localize and classify 14 types of thoracic abnormalities from chest radiograph,like Cardiomegaly,Pleural Thickening,Calcification and other lesions.For training and fine-tuning i've used a Multi-GPU instance (4...