17 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
Deep Active Learning for Axon-Myelin Segmentation on Histology Data
Melanie Lubrano di Scandalea, Christian S. Perone, Mathieu Boudreau +1
Semantic segmentation is a crucial task in biomedical image processing, which recent breakthroughs in deep learning have allowed to improve. However, deep learning methods in gener…
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
Christian S. Perone, Pedro Ballester, Rodrigo C. Barros +1
Recent advances in deep learning methods have come to define the state-of-the-art for many medical imaging applications, surpassing even human judgment in several tasks. Those mode…
Deep semi-supervised segmentation with weight-averaged consistency targets
Christian S. Perone, Julien Cohen-Adad
Recently proposed techniques for semi-supervised learning such as Temporal Ensembling and Mean Teacher have achieved state-of-the-art results in many important classification bench…
Towards ECDSA key derivation from deep embeddings for novel Blockchain applications
Christian S. Perone
In this work, we propose a straightforward method to derive Elliptic Curve Digital Signature Algorithm (ECDSA) key pairs from embeddings created using Deep Learning and Metric Lear…