97 citations · 489 across the 41 of their papers we have counts for
3 papers · 1 filter
Semi-supervised few-shot learning for medical image segmentation
Abdur R Feyjie, Reza Azad, Marco Pedersoli +3
Recent years have witnessed the great progress of deep neural networks on semantic segmentation, particularly in medical imaging. Nevertheless, training high-performing models requ…
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
Maryam Asadi-Aghbolaghi, Reza Azad, Mahmood Fathy +1
Medical image segmentation has been very challenging due to the large variation of anatomy across different cases. Recent advances in deep learning frameworks have exhibited faster…
On the Texture Bias for Few-Shot CNN Segmentation
Reza Azad, Abdur R Fayjie, Claude Kauffman +3
Despite the initial belief that Convolutional Neural Networks (CNNs) are driven by shapes to perform visual recognition tasks, recent evidence suggests that texture bias in CNNs pr…