3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked Autoencoder
Son T. Ly, Bai Lin, Hung Q. Vo +3
Reliable large-scale cell detection and segmentation is the fundamental first step to understanding biological processes in the brain. The ability to phenotype cells at scale can a…
cs.CV2020★ 3 cited
Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification
Pengyu Yuan, Aryan Mobiny, Jahandar Jahanipour +6
Deep Neural Networks (or DNNs) must constantly cope with distribution changes in the input data when the task of interest or the data collection protocol changes. Retraining a netw…