1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.IV2020★ 1 cited
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Issam Laradji, Pau Rodriguez, Oscar Mañas +6
Coronavirus Disease 2019 (COVID-19) has spread aggressively across the world causing an existential health crisis. Thus, having a system that automatically detects COVID-19 in tomo…
cs.CV2019
Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation
Lironne Kurzman, David Vazquez, Issam Laradji
We propose a Class-Based Styling method (CBS) that can map different styles for different object classes in real-time. CBS achieves real-time performance by carrying out two steps…