Author of the publication

Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks.

, , , , , and . CoRR, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation., , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 260-272. PMLR, (2019)Hybrid Labels for Brain Tumor Segmentation., , , and . BrainLes@MICCAI (2), volume 11993 of Lecture Notes in Computer Science, page 158-166. Springer, (2019)Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks., , , , , and . CoRR, (2018)Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection., , , , , and . IEEE Access, (2019)Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning., , , , , , , and . CoRR, (2017)Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets for IsoIntense Infant Brain MRI Segmentation., , , and . CoRR, (2018)Real-time automatic fetal brain extraction in fetal MRI by deep learning., , , , , , , and . ISBI, page 720-724. IEEE, (2018)