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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

* Submitted to SPIE Journal of Medical Imaging 

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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

* Presented as a long oral in ICML 2018. Post-conference camera ready 

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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

* Submitted to the journal Computerized Medical Imaging and Graphics 

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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

* Published on MICCAI 2018 

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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

* Accepted paper at MICCAI 2017 

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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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Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

Nov 30, 2016
Yani Ioannou, Duncan Robertson, Roberto Cipolla, Antonio Criminisi

* Updated full version of paper, in full letter paper two-column paper. Includes many textual changes, updated CIFAR10 results, and new analysis of inter/intra-layer correlation 

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Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information

May 29, 2016
Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi

* 7 pages, 5 figures, IJCAI 2016 

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Refining Architectures of Deep Convolutional Neural Networks

Apr 22, 2016
Sukrit Shankar, Duncan Robertson, Yani Ioannou, Antonio Criminisi, Roberto Cipolla

* 9 pages, 6 figures, CVPR 2016 

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Decision Forests, Convolutional Networks and the Models in-Between

Mar 03, 2016
Yani Ioannou, Duncan Robertson, Darko Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi

* Microsoft Research Technical Report 

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Training CNNs with Low-Rank Filters for Efficient Image Classification

Feb 07, 2016
Yani Ioannou, Duncan Robertson, Jamie Shotton, Roberto Cipolla, Antonio Criminisi

* International Conference on Learning Representations (ICLR), San Juan, Puerto Rico, 2-4 May 2016 
* Published as a conference paper at ICLR 2016. v3: updated ICLR status. v2: Incorporated reviewer's feedback including: Amend Fig. 2 and 5 descriptions to explain that there are no ReLUs within the figures. Fix headings of Table 5 - Fix typo in the sentence at bottom of page 6. Add ref. to Predicting Parameters in Deep Learning. Fix Table 6, GMP-LR and GMP-LR-2x had incorrect numbers of filters 

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WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity

Aug 24, 2012
Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl

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