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Antonio Criminisi

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Sequential Ensembling for Semantic Segmentation

Oct 08, 2022
Rawal Khirodkar, Brandon Smith, Siddhartha Chandra, Amit Agrawal, Antonio Criminisi

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Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement

Jul 31, 2019
Ryutaro Tanno, Daniel Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander

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Deep Learning with Mixed Supervision for Brain Tumor Segmentation

Dec 10, 2018
Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache

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Adaptive Neural Trees

Oct 07, 2018
Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya Nori

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Semi-Supervised Learning via Compact Latent Space Clustering

Jul 29, 2018
Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori

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3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context

Jul 23, 2018
Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache

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Autofocus Layer for Semantic Segmentation

Jun 11, 2018
Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison Cottrell, Antonio Criminisi, Aditya Nori

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Measuring Neural Net Robustness with Constraints

Jun 16, 2017
Osbert Bastani, Yani Ioannou, Leonidas Lampropoulos, Dimitrios Vytiniotis, Aditya Nori, Antonio Criminisi

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Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution

May 30, 2017
Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander

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Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

Dec 28, 2016
Konstantinos Kamnitsas, Christian Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker

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