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Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings., , , , , , , , , и 7 other автор(ы). BrainLes@MICCAI, том 13769 из Lecture Notes in Computer Science, стр. 3-13. Springer, (2022)Label-Set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation., , , , , , , , , и 2 other автор(ы). MICCAI (2), том 12902 из Lecture Notes in Computer Science, стр. 647-657. Springer, (2021)Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging., , , , , , , , , и 30 other автор(ы). CoRR, (2020)Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients., , , , , , , , , и 12 other автор(ы). CoRR, (2020)Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for Brain Tumor Segmentation: BraTS 2020 Challenge., , и . BrainLes@MICCAI (2), том 12659 из Lecture Notes in Computer Science, стр. 200-214. Springer, (2020)Incompressible Image Registration Using Divergence-Conforming B-Splines., , , , , и . MICCAI (2), том 11765 из Lecture Notes in Computer Science, стр. 438-446. Springer, (2019)On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task., , , , , и . IPMI, том 10265 из Lecture Notes in Computer Science, стр. 348-360. Springer, (2017)Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation., , , , , , и . MICCAI (3), том 10435 из Lecture Notes in Computer Science, стр. 285-293. Springer, (2017)ToolNet: Holistically-nested real-time segmentation of robotic surgical tools., , , , , , , , , и 1 other автор(ы). IROS, стр. 5717-5722. IEEE, (2017)Context Aware 3D CNNs for Brain Tumor Segmentation., , , , , , , , и . BrainLes@MICCAI (2), том 11384 из Lecture Notes in Computer Science, стр. 299-310. Springer, (2018)