Matthew Blaschko

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Citations	6248	3848
h-index	31	27
i10-index	53	45

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Christoph H. LampertProfessor at IST AustriaVerified email at ist.ac.at
Maxim BermanAppleVerified email at esat.kuleuven.be
Amal Rannen TrikiResearch Scientist at DeepMindVerified email at google.com
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Esa RahtuAssociate Professor, Tampere University, FinlandVerified email at tuni.fi
Juho KannalaAssistant Professor, Aalto University, FinlandVerified email at aalto.fi
José Ignacio OrlandoAssistant Researcher, CONICET / UNICENVerified email at conicet.gov.ar
Andrea VedaldiUniversity of OxfordVerified email at robots.ox.ac.uk
Eugene BelilovskyAssistant Professor, Concordia University and Mila Quebec AI InstituteVerified email at concordia.ca
Elena ProkofyevaScientific Institute of Public Health/ FAMHPVerified email at biomed-engineering.de
Tinne TuytelaarsKU Leuven - PSI, BelgiumVerified email at esat.kuleuven.be
Subhransu MajiUniversity of Massachusetts, AmherstVerified email at cs.umass.edu
Thomas HofmannProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Andreas BartelsGroup leader, Vision and Cognition Lab, University of TübingenVerified email at tuebingen.mpg.de
Joao Barbosa BredaMD, PhD KU Leuven/University of PortoVerified email at kuleuven.be
Dimitri LisiniRobot, Inc.Verified email at cs.umass.edu
Patrick De BoeverUniversity of Antwerp & Hasselt UniversityVerified email at uantwerpen.be
Bart ElenPrincipal data scientist at VITO HealthVerified email at vito.be
Ruben HemelingsPhD, KU LeuvenVerified email at kuleuven.be
Wojciech ZarembaCo-Founder of OpenAI. Head of Language and Codegen teams. Driving research on Codex, and GPT-(n+1).Verified email at openai.com

Matthew Blaschko

KU Leuven

Verified email at esat.kuleuven.be - Homepage

Machine Learning Computer Vision Medical Image Analysis


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Beyond sliding windows: Object localization by efficient subwindow search CH Lampert, MB Blaschko, T Hofmann 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008	982	2008
Fine-grained visual classification of aircraft S Maji, E Rahtu, J Kannala, M Blaschko, A Vedaldi arXiv preprint arXiv:1306.5151, 2013	672	2013
Efficient subwindow search: A branch and bound framework for object localization CH Lampert, MB Blaschko, T Hofmann IEEE transactions on pattern analysis and machine intelligence 31 (12), 2129 …, 2009	483	2009
Learning to localize objects with structured output regression MB Blaschko, CH Lampert European conference on computer vision, 2-15, 2008	431	2008
The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks M Berman, A Rannen Triki, MB Blaschko	314	2018
A discriminatively trained fully connected conditional random field model for blood vessel segmentation in fundus images JI Orlando, E Prokofyeva, MB Blaschko IEEE transactions on Biomedical Engineering 64 (1), 16-27, 2016	306	2016
Combining local and global image features for object class recognition DA Lisin, MA Mattar, MB Blaschko, EG Learned-Miller, MC Benfield 2005 IEEE computer society conference on computer vision and pattern …, 2005	256	2005
Unsupervised object discovery: A comparison T Tuytelaars, CH Lampert, MB Blaschko, W Buntine International journal of computer vision 88 (2), 284-302, 2010	240	2010
Correlational spectral clustering MB Blaschko, CH Lampert 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	233	2008
Learning a category independent object detection cascade E Rahtu, J Kannala, M Blaschko 2011 international conference on Computer Vision, 1052-1059, 2011	204	2011
Encoder based lifelong learning A Rannen, R Aljundi, MB Blaschko, T Tuytelaars Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017	173	2017
An ensemble deep learning based approach for red lesion detection in fundus images JI Orlando, E Prokofyeva, M Del Fresno, MB Blaschko Computer methods and programs in biomedicine 153, 115-127, 2018	147	2018
Learning fully-connected CRFs for blood vessel segmentation in retinal images JI Orlando, M Blaschko international conference on medical image computing and computer-assisted …, 2014	127	2014
Understanding objects in detail with fine-grained attributes A Vedaldi, S Mahendran, S Tsogkas, S Maji, R Girshick, J Kannala, ... Proceedings of the IEEE conference on computer vision and pattern …, 2014	117	2014
Convolutional neural network transfer for automated glaucoma identification JI Orlando, E Prokofyeva, M del Fresno, MB Blaschko 12th international symposium on medical information processing and analysis …, 2017	104	2017
B-tests: Low variance kernel two-sample tests W Zaremba, A Gretton, M Blaschko arXiv preprint arXiv:1307.1954, 2013	96	2013
Simultaneous object detection and ranking with weak supervision M Blaschko, A Vedaldi, A Zisserman Advances in neural information processing systems, 235-243, 2010	94	2010
Automatic in situ identification of plankton MB Blaschko, G Holness, MA Mattar, D Lisin, PE Utgoff, AR Hanson, ... 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION …, 2005	89	2005
Optimizing the dice score and jaccard index for medical image segmentation: Theory and practice J Bertels, T Eelbode, M Berman, D Vandermeulen, F Maes, R Bisschops, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019	72	2019
Semi-supervised laplacian regularization of kernel canonical correlation analysis MB Blaschko, CH Lampert, A Gretton Joint European conference on machine learning and knowledge discovery in …, 2008	72	2008

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