63 citations · 94 across the 3 of their papers we have counts for
3 papers
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance
Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh +3
We introduce CASED, a novel curriculum sampling algorithm that facilitates the optimization of deep learning segmentation or detection models on data sets with extreme class imbala…
HeMIS: Hetero-Modal Image Segmentation
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados +1
We introduce a deep learning image segmentation framework that is extremely robust to missing imaging modalities. Instead of attempting to impute or synthesize missing data, the pr…
Deep learning trends for focal brain pathology segmentation in MRI
Mohammad Havaei, Nicolas Guizard, Hugo Larochelle +1
Segmentation of focal (localized) brain pathologies such as brain tumors and brain lesions caused by multiple sclerosis and ischemic strokes are necessary for medical diagnosis, su…