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ORCIDAntonio Criminisi
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- affiliation: Microsoft Research
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2020 – today
- 2022
[j42]Maulik D. Majmudar
, Siddhartha Chandra, Kiran Yakkala, Samantha Kennedy, Amit Agrawal, Mark Sippel, Prakash Ramu, Apoorv Chaudhri, Brooke Smith, Antonio Criminisi, Steven B. Heymsfield, Fatima Cody Stanford:
Smartphone camera based assessment of adiposity: a validation study. npj Digit. Medicine 5 (2022)- [i15]Rawal Khirodkar, Brandon Smith, Siddhartha Chandra, Amit Agrawal, Antonio Criminisi:
Sequential Ensembling for Semantic Segmentation. CoRR abs/2210.05387 (2022) - 2021
- [j41]Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander:
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI. NeuroImage 225: 117366 (2021)
2010 – 2019
- 2019
- [j40]Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
3D convolutional neural networks for tumor segmentation using long-range 2D context. Comput. Medical Imaging Graph. 73: 60-72 (2019) - [c87]Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori:
Adaptive Neural Trees. ICML 2019: 6166-6175 - [i14]Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander:
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement. CoRR abs/1907.13418 (2019) - 2018
- [c86]Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori:
Semi-Supervised Learning via Compact Latent Space Clustering. ICML 2018: 2464-2473 - [c85]Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori:
Autofocus Layer for Semantic Segmentation. MICCAI (3) 2018: 603-611 - [i13]Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori:
Autofocus Layer for Semantic Segmentation. CoRR abs/1805.08403 (2018) - [i12]Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori:
Semi-Supervised Learning via Compact Latent Space Clustering. CoRR abs/1806.02679 (2018) - [i11]Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori:
Adaptive Neural Trees. CoRR abs/1807.06699 (2018) - [i10]Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context. CoRR abs/1807.08599 (2018) - [i9]Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Deep Learning with Mixed Supervision for Brain Tumor Segmentation. CoRR abs/1812.04571 (2018) - 2017
- [j39]Ján Margeta, Antonio Criminisi, Rocío Cabrera Lozoya, Daniel C. Lee, Nicholas Ayache:
Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(5): 339-349 (2017) - [j38]Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements. Medical Image Anal. 36: 79-97 (2017) - [j37]Daniel C. Alexander, Darko Zikic, Aurobrata Ghosh, Ryutaro Tanno, Viktor Wottschel, Jiaying Zhang, Enrico Kaden, Tim B. Dyrby, Stamatios N. Sotiropoulos, Hui Zhang, Antonio Criminisi:
Image quality transfer and applications in diffusion MRI. NeuroImage 152: 283-298 (2017) - [j36]Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Quantifying Registration Uncertainty With Sparse Bayesian Modelling. IEEE Trans. Medical Imaging 36(2): 607-617 (2017) - [c84]Yani Ioannou, Duncan P. Robertson, Roberto Cipolla, Antonio Criminisi:
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups. CVPR 2017: 5977-5986 - [c83]Loïc Le Folgoc, Aditya V. Nori, Antonio Criminisi:
Spectral Kernels for Probabilistic Analysis and Clustering of Shapes. IPMI 2017: 67-79 - [c82]Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker:
Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks. IPMI 2017: 597-609 - [c81]Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander:
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. MICCAI (1) 2017: 611-619 - [i8]Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander:
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. CoRR abs/1705.00664 (2017) - 2016
- [j35]Kenton O'Hara, Gerardo Gonzalez, Graeme P. Penney, Abigail Sellen, Robert Corish, Helena M. Mentis, Andreas Varnavas, Antonio Criminisi, Mark Rouncefield, Neville Dastur, Tom Carrell:
Erratum to: Interactional Order and Constructed Ways of Seeing with Touchless Imaging Systems in Surgery. Comput. Support. Cooperative Work. 25(2-3): 227 (2016) - [j34]Cecily Morrison, Kit Huckvale, Robert Corish, Jonas F. Dorn, Peter Kontschieder, Kenton O'Hara, Antonio Criminisi, Abigail Sellen:
Assessing Multiple Sclerosis With Kinect: Designing Computer Vision Systems for Real-World Use. Hum. Comput. Interact. 31(3-4): 191-226 (2016) - [j33]Antonio Criminisi:
Machine learning for medical images analysis. Medical Image Anal. 33: 91-93 (2016) - [j32]Henning Müller, Jayashree Kalpathy-Cramer, Allan Hanbury, Keyvan Farahani, Rinat Sergeev, Jin H. Paik, Arno Klein, Antonio Criminisi, Andrew D. Trister, Thea Norman, David N. Kennedy, Ganapati Srinivasa, Artem Mamonov, Nina Preuss:
Report on the Cloud-Based Evaluation Approaches Workshop 2015. SIGIR Forum 50(1): 38-41 (2016) - [c80]Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi:
Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information. AAAI 2016: 4365-4366 - [c79]Sukrit Shankar, Duncan P. Robertson, Yani Ioannou, Antonio Criminisi, Roberto Cipolla:
Refining Architectures of Deep Convolutional Neural Networks. CVPR 2016: 2212-2220 - [c78]Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi:
Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information. IJCAI 2016: 1676-1682 - [c77]Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bulò:
Deep Neural Decision Forests. IJCAI 2016: 4190-4194 - [c76]Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker:
DeepMedic for Brain Tumor Segmentation. BrainLes@MICCAI 2016: 138-149 - [c75]Loïc Le Folgoc, Aditya V. Nori, Siddharth Ancha, Antonio Criminisi:
Lifted Auto-Context Forests for Brain Tumour Segmentation. BrainLes@MICCAI 2016: 171-183 - [c74]Ryutaro Tanno, Aurobrata Ghosh, Francesco Grussu, Enrico Kaden, Antonio Criminisi, Daniel C. Alexander:
Bayesian Image Quality Transfer. MICCAI (2) 2016: 265-273 - [c73]Osbert Bastani, Yani Ioannou, Leonidas Lampropoulos, Dimitrios Vytiniotis, Aditya V. Nori, Antonio Criminisi:
Measuring Neural Net Robustness with Constraints. NIPS 2016: 2613-2621 - [c72]Yani Ioannou, Duncan P. Robertson, Jamie Shotton, Roberto Cipolla, Antonio Criminisi:
Training CNNs with Low-Rank Filters for Efficient Image Classification. ICLR (Poster) 2016 - [i7]Yani Ioannou, Duncan P. Robertson, Darko Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi:
Decision Forests, Convolutional Networks and the Models in-Between. CoRR abs/1603.01250 (2016) - [i6]Sukrit Shankar, Duncan P. Robertson, Yani Ioannou, Antonio Criminisi, Roberto Cipolla:
Refining Architectures of Deep Convolutional Neural Networks. CoRR abs/1604.06832 (2016) - [i5]Yani Ioannou, Duncan P. Robertson, Roberto Cipolla, Antonio Criminisi:
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups. CoRR abs/1605.06489 (2016) - [i4]Osbert Bastani, Yani Ioannou, Leonidas Lampropoulos, Dimitrios Vytiniotis, Aditya V. Nori, Antonio Criminisi:
Measuring Neural Net Robustness with Constraints. CoRR abs/1605.07262 (2016) - [i3]Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi:
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information. CoRR abs/1605.09062 (2016) - [i2]Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker:
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks. CoRR abs/1612.08894 (2016) - 2015
- [j31]Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [j30]Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr:
SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips. ACM Trans. Graph. 34(5): 154:1-154:17 (2015) - [j29]Ben Glocker, Jamie Shotton, Antonio Criminisi, Shahram Izadi:
Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding. IEEE Trans. Vis. Comput. Graph. 21(5): 571-583 (2015) - [c71]Helena M. Mentis, Kenton O'Hara, Gerardo Gonzalez, Abigail Sellen, Robert Corish, Antonio Criminisi, Rikin Trivedi, Pierre Theodore:
Voice or Gesture in the Operating Room. CHI Extended Abstracts 2015: 773-780 - [c70]Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bulò:
Deep Neural Decision Forests. ICCV 2015: 1467-1475 - [c69]Simon Blessenohl, Cecily Morrison, Antonio Criminisi, Jamie Shotton:
Improving Indoor Mobility of the Visually Impaired with Depth-Based Spatial Sound. ICCV Workshops 2015: 418-426 - [c68]Herve Lombaert, Antonio Criminisi, Nicholas Ayache:
Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation. MICCAI (1) 2015: 547-555 - [c67]Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr:
SemanticPaint: interactive segmentation and learning of 3D world. SIGGRAPH Talks 2015: 75:1 - 2014
- [j28]Kenton O'Hara, Gerardo Gonzalez, Abigail Sellen, Graeme P. Penney, Andreas Varnavas, Helena M. Mentis, Antonio Criminisi, Robert Corish, Mark Rouncefield, Neville Dastur, Tom Carrell:
Touchless interaction in surgery. Commun. ACM 57(1): 70-77 (2014) - [j27]Kenton O'Hara, Gerardo Gonzalez, Graeme P. Penney, Abigail Sellen, Robert Corish, Helena M. Mentis, Andreas Varnavas, Antonio Criminisi, Mark Rouncefield, Neville Dastur, Tom Carrell:
Interactional Order and Constructed Ways of Seeing with Touchless Imaging Systems in Surgery. Comput. Support. Cooperative Work. 23(3): 299-337 (2014) - [j26]Darko Zikic, Ben Glocker, Antonio Criminisi:
Encoding atlases by randomized classification forests for efficient multi-atlas label propagation. Medical Image Anal. 18(8): 1262-1273 (2014) - [j25]Sean Ryan Fanello, Cem Keskin, Shahram Izadi, Pushmeet Kohli, David Kim, David Sweeney, Antonio Criminisi, Jamie Shotton, Sing Bing Kang, Tim Paek:
Learning to be a depth camera for close-range human capture and interaction. ACM Trans. Graph. 33(4): 86:1-86:11 (2014) - [c66]Sean Ryan Fanello, Cem Keskin, Pushmeet Kohli, Shahram Izadi, Jamie Shotton, Antonio Criminisi, Ugo Pattacini, Tim Paek:
Filter Forests for Learning Data-Dependent Convolutional Kernels. CVPR 2014: 1709-1716 - [c65]Darko Zikic, Ben Glocker, Antonio Criminisi:
Classifier-Based Multi-atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-Free Scenarios. MCV 2014: 116-124 - [c64]Daniel C. Alexander, Darko Zikic, Jiaying Zhang, Hui Zhang, Antonio Criminisi:
Image Quality Transfer via Random Forest Regression: Applications in Diffusion MRI. MICCAI (3) 2014: 225-232 - [c63]Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Sparse Bayesian Registration. MICCAI (1) 2014: 235-242 - [c62]Peter Kontschieder, Jonas F. Dorn, Cecily Morrison, Robert Corish, Darko Zikic, Abigail Sellen, Marcus D'Souza, Christian P. Kamm, Jessica Burggraaff, Prejaas Tewarie, Thomas Vogel, Michela Azzarito, Ben Glocker, Peter Chin, Frank Dahlke, Chris Polman, Ludwig Kappos, Bernard M. J. Uitdehaag, Antonio Criminisi:
Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos. MICCAI (2) 2014: 429-437 - [c61]Herve Lombaert, Darko Zikic, Antonio Criminisi, Nicholas Ayache:
Laplacian Forests: Semantic Image Segmentation by Guided Bagging. MICCAI (2) 2014: 496-504 - [c60]Ján Margeta, Antonio Criminisi, Daniel C. Lee, Nicholas Ayache:
Recognizing Cardiac Magnetic Resonance Acquisition Planes. MIUA 2014: 125-130 - 2013
- [j24]Ender Konukoglu, Ben Glocker, Darko Zikic, Antonio Criminisi:
Neighbourhood approximation using randomized forests. Medical Image Anal. 17(7): 790-804 (2013) - [j23]Bjoern Holger Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi:
Whole-body anatomy localization via classification and regression forests. Medical Image Anal. 17(8): 1282 (2013) - [j22]Antonio Criminisi, Duncan P. Robertson, Ender Konukoglu, Jamie Shotton, Sayan D. Pathak, Steve White, Khan M. Siddiqui:
Regression forests for efficient anatomy detection and localization in computed tomography scans. Medical Image Anal. 17(8): 1293-1303 (2013) - [j21]Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl:
WESD-Weighted Spectral Distance for Measuring Shape Dissimilarity. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2284-2297 (2013) - [j20]Jamie Shotton, Ross B. Girshick, Andrew W. Fitzgibbon, Toby Sharp, Mat Cook, Mark Finocchio, Richard Moore, Pushmeet Kohli, Antonio Criminisi, Alex Kipman, Andrew Blake:
Efficient Human Pose Estimation from Single Depth Images. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2821-2840 (2013) - [c59]Peter Kontschieder, Pushmeet Kohli, Jamie Shotton, Antonio Criminisi:
GeoF: Geodesic Forests for Learning Coupled Predictors. CVPR 2013: 65-72 - [c58]Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, Andrew W. Fitzgibbon:
Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images. CVPR 2013: 2930-2937 - [c57]Richard Neil Pittman, Alessandro Forin, Antonio Criminisi, Jamie Shotton, Atabak Mahram:
Image Segmentation Using Hardware Forest Classifiers. FCCM 2013: 73-80 - [c56]Ben Glocker, Shahram Izadi, Jamie Shotton, Antonio Criminisi:
Real-time RGB-D camera relocalization. ISMAR 2013: 173-179 - [c55]Ján Margeta, Kristin McLeod, Antonio Criminisi, Nicholas Ayache:
Decision Forests for Segmentation of the Left Atrium from 3D MRI. STACOM 2013: 49-56 - [c54]Darko Zikic, Ben Glocker, Antonio Criminisi:
Atlas Encoding by Randomized Forests for Efficient Label Propagation. MICCAI (3) 2013: 66-73 - [c53]Ben Glocker, Darko Zikic, Ender Konukoglu, David R. Haynor, Antonio Criminisi:
Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations. MICCAI (2) 2013: 262-270 - [c52]Dong Hye Ye, Darko Zikic, Ben Glocker, Antonio Criminisi, Ender Konukoglu:
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization. MICCAI (1) 2013: 606-613 - [c51]Jamie Shotton, Toby Sharp, Pushmeet Kohli, Sebastian Nowozin, John M. Winn, Antonio Criminisi:
Decision Jungles: Compact and Rich Models for Classification. NIPS 2013: 234-242 - [e2]Bjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, Antonio Criminisi:
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7766, Springer 2013, ISBN 978-3-642-36619-2 [contents] - 2012
- [j19]Antonio Criminisi, Jamie Shotton, Ender Konukoglu:
Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning. Found. Trends Comput. Graph. Vis. 7(2-3): 81-227 (2012) - [j18]Ender Konukoglu, Ben Glocker, Dong Hye Ye, Antonio Criminisi, Kilian M. Pohl:
Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity. IEEE Trans. Medical Imaging 31(12): 2278-2289 (2012) - [c50]Ben Glocker, Olivier Pauly, Ender Konukoglu, Antonio Criminisi:
Joint Classification-Regression Forests for Spatially Structured Multi-object Segmentation. ECCV (4) 2012: 870-881 - [c49]Karen Simonyan, Marc Modat, Sébastien Ourselin, David M. Cash, Antonio Criminisi, Andrew Zisserman:
Immediate ROI Search for 3-D Medical Images. MCBR-CDS 2012: 56-67 - [c48]Ender Konukoglu, Ben Glocker, Darko Zikic, Antonio Criminisi:
Neighbourhood Approximation Forests. MICCAI (3) 2012: 75-82 - [c47]Ezequiel Geremia, Bjoern H. Menze, Marcel Prastawa, Marc-André Weber, Antonio Criminisi, Nicholas Ayache:
Brain Tumor Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model. MCV 2012: 273-282 - [c46]Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Current-Based 4D Shape Analysis for the Mechanical Personalization of Heart Models. MCV 2012: 283-292 - [c45]Darko Zikic, Ben Glocker, Ender Konukoglu, Antonio Criminisi, Çagatay Demiralp, Jamie Shotton, Owen M. Thomas, Tilak Das, Raj Jena, Stephen J. Price:
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR. MICCAI (3) 2012: 369-376 - [c44]Ben Glocker, Johannes Feulner, Antonio Criminisi, David R. Haynor, Ender Konukoglu:
Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans. MICCAI (3) 2012: 590-598 - [c43]Peter Kontschieder, Samuel Rota Bulò, Antonio Criminisi, Pushmeet Kohli, Marcello Pelillo, Horst Bischof:
Context-Sensitive Decision Forests for Object Detection. NIPS 2012: 440-448 - [i1]Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl:
WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity. CoRR abs/1208.5016 (2012) - 2011
- [j17]Ezequiel Geremia, Olivier Clatz, Bjoern H. Menze, Ender Konukoglu, Antonio Criminisi, Nicholas Ayache:
Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images. NeuroImage 57(2): 378-390 (2011) - [j16]Pei Yin, Antonio Criminisi, John M. Winn, Irfan A. Essa:
Bilayer Segmentation of Webcam Videos Using Tree-Based Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 30-42 (2011) - [j15]Florian Schroff, Antonio Criminisi, Andrew Zisserman:
Harvesting Image Databases from the Web. IEEE Trans. Pattern Anal. Mach. Intell. 33(4): 754-766 (2011) - [c42]Rose Johnson, Kenton O'Hara, Abigail Sellen, Claire Cousins, Antonio Criminisi:
Exploring the potential for touchless interaction in image-guided interventional radiology. CHI 2011: 3323-3332 - [c41]Ross B. Girshick, Jamie Shotton, Pushmeet Kohli, Antonio Criminisi, Andrew W. Fitzgibbon:
Efficient regression of general-activity human poses from depth images. ICCV 2011: 415-422 - [c40]Juan Eugenio Iglesias, Ender Konukoglu, Albert Montillo, Zhuowen Tu, Antonio Criminisi:
Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning. IPMI 2011: 25-36 - [c39]Albert Montillo, Jamie Shotton, John M. Winn, Juan Eugenio Iglesias, Dimitris N. Metaxas, Antonio Criminisi:
Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images. IPMI 2011: 184-196 - [c38]Antonio Criminisi, Krishna Juluru, Sayan D. Pathak:
A Discriminative-Generative Model for Detecting Intravenous Contrast in CT Images. MICCAI (3) 2011: 49-57 - [c37]Ján Margeta, Ezequiel Geremia, Antonio Criminisi, Nicholas Ayache:
Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data. STACOM 2011: 109-119 - [c36]Olivier Pauly, Ben Glocker, Antonio Criminisi, Diana Mateus, Axel Martinez-Möller, Stephan G. Nekolla, Nassir Navab:
Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences. MICCAI (3) 2011: 239-247 - [c35]Karen Simonyan, Andrew Zisserman, Antonio Criminisi:
Immediate Structured Visual Search for Medical Images. MICCAI (3) 2011: 288-296 - [c34]Ender Konukoglu, Antonio Criminisi, Sayan D. Pathak, Duncan P. Robertson, Steve White, David R. Haynor, Khan M. Siddiqui:
Robust linear registration of CT images using random regression forests. Medical Imaging: Image Processing 2011: 79621X - [e1]Bjoern H. Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi:
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6533, Springer 2011, ISBN 978-3-642-18420-8 [contents] - 2010
- [j14]Antonio Criminisi, Toby Sharp, Carsten Rother, Patrick Pérez:
Geodesic image and video editing. ACM Trans. Graph. 29(5): 134:1-134:15 (2010) - [c33]Varun Gulshan, Carsten Rother, Antonio Criminisi, Andrew Blake, Andrew Zisserman:
Geodesic star convexity for interactive image segmentation. CVPR 2010: 3129-3136 - [c32]Christian Richardt, Douglas Orr, Ian P. Davies, Antonio Criminisi, Neil A. Dodgson:
Real-Time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid. ECCV (3) 2010: 510-523 - [c31]Antonio Criminisi, Jamie Shotton, Duncan P. Robertson, Ender Konukoglu:
Regression Forests for Efficient Anatomy Detection and Localization in CT Studies. MCV 2010: 106-117 - [c30]Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, Ender Konukoglu, Antonio Criminisi, Nicholas Ayache:
Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images. MICCAI (1) 2010: 111-118
2000 – 2009
- 2009
- [j13]Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi:
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context. Int. J. Comput. Vis. 81(1): 2-23 (2009) - [j12]