Subin Erattakulangara's Projects
protocol adaptive segmentation
classification of 3d CT datasets as covid and non covid
3D unet segmentation for upper airway segmentation.
multiple articulator segmentation tool for segmenting upper airway MRI. Uses transfer learning and custom loss functions.
app can scan and find a ble device
open-source electronics prototyping platform
3D unet with custom functionalities for creating a CT Lung segmentation model based on Unet 3D
working cycle gan with input as images
wamp database testing
Config files for my GitHub profile.
hyper parameter tuning using talos library , keras
pairing is the only main activity
start
MoDL: Model-Based Deep Learning Architecture for Inverse Problems
Transfer leanring based upper airway MRI segmentation. Transfer happens form the CT Trained dataset