3 papers
eess.IV2021
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation
Maria Baldeon-Calisto, Susana K. Lai-Yuen
Deep learning models have obtained state-of-the-art results for medical image analysis. However, when these models are tested on an unseen domain there is a significant performance…
cs.CV2020
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework
Maria Baldeon Calisto, Susana Lai-Yuen
Deep learning methods have become very successful at solving many complex tasks such as image classification and segmentation, speech recognition and machine translation. Neverthel…
eess.IV2019
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation
Maria G. Baldeon Calisto, Susana K. Lai-Yuen
Segmentation is a critical step in medical image analysis. Fully Convolutional Networks (FCNs) have emerged as powerful segmentation models achieving state-of-the-art results in va…