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Glaucoma detection beyond the optic disc: The importance of the peripapillary region using explainable deep learning


Mar 22, 2021
Ruben Hemelings, Bart Elen, João Barbosa Breda, Matthew B. Blaschko, Patrick De Boever, Ingeborg Stalmans


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Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index


Oct 26, 2020
Tom Eelbode, Jeroen Bertels, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko

* 15 pages, 14 figures, accepted for publication in IEEE Transactions on Medical Imaging (2020) 

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Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation


Oct 06, 2020
Xingchen Ma, Matthew B. Blaschko

* Code available at https://github.com/maxc01/addtree. arXiv admin note: substantial text overlap with arXiv:2006.11771 

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Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization


Jun 21, 2020
Xingchen Ma, Matthew B. Blaschko

* AISTATS2020 
* AISTATS2020. Code link: https://github.com/maxc01/addtree 

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Pathological myopia classification with simultaneous lesion segmentation using deep learning


Jun 04, 2020
Ruben Hemelings, Bart Elen, Matthew B. Blaschko, Julie Jacob, Ingeborg Stalmans, Patrick De Boever

* 18 pages, 2 figures, preprint to journal 

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AOWS: Adaptive and optimal network width search with latency constraints


May 21, 2020
Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Gerard Medioni

* Accepted to CVPR 2020 (oral) 

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Discriminative training of conditional random fields with probably submodular constraints


Nov 25, 2019
Maxim Berman, Matthew B. Blaschko

* 14 pages 

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Adaptive Compression-based Lifelong Learning


Jul 23, 2019
Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia

* Accepted at BMVC 2019 

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Towards a glaucoma risk index based on simulated hemodynamics from fundus images


Oct 25, 2018
José Ignacio Orlando, João Barbosa Breda, Karel van Keer, Matthew B. Blaschko, Pablo J. Blanco, Carlos A. Bulant

* MICCAI 2018 paper 

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Yes, IoU loss is submodular - as a function of the mispredictions


Sep 06, 2018
Maxim Berman, Matthew B. Blaschko, Amal Rannen Triki, Jiaqian Yu


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Function Norms and Regularization in Deep Networks


Jun 28, 2018
Amal Rannen Triki, Maxim Berman, Matthew B. Blaschko

* 17 pages, 8 figures 

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Efficient semantic image segmentation with superpixel pooling


Jun 07, 2018
Mathijs Schuurmans, Maxim Berman, Matthew B. Blaschko


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The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks


Apr 09, 2018
Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko

* Accepted as a conference paper at CVPR 2018 

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An Ensemble Deep Learning Based Approach for Red Lesion Detection in Fundus Images


Oct 12, 2017
José Ignacio Orlando, Elena Prokofyeva, Mariana del Fresno, Matthew B. Blaschko

* Accepted for publication in Computer Methods and Programs in Biomedicine 

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Slack and Margin Rescaling as Convex Extensions of Supermodular Functions


Aug 10, 2017
Matthew B. Blaschko

* v2 corrects a bug in the maths of v1 

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Intraoperative margin assessment of human breast tissue in optical coherence tomography images using deep neural networks


Mar 31, 2017
Amal Rannen Triki, Matthew B. Blaschko, Yoon Mo Jung, Seungri Song, Hyun Ju Han, Seung Il Kim, Chulmin Joo

* 16 pages, 9 figures 

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An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses


Feb 13, 2017
Jiaqian Yu, Matthew B. Blaschko


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Stochastic Function Norm Regularization of Deep Networks


Dec 07, 2016
Amal Rannen Triki, Matthew B. Blaschko

* 13 pages, 12 figures 

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Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity


Nov 18, 2016
Eugene Belilovsky, Gaël Varoquaux, Matthew B. Blaschko

* Neural Information Processing Systems (NIPS) 2016, Dec 2016, Barcelona, Spain 

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A Test of Relative Similarity For Model Selection in Generative Models


Feb 15, 2016
Wacha Bounliphone, Eugene Belilovsky, Matthew B. Blaschko, Ioannis Antonoglou, Arthur Gretton

* International Conference on Learning Representations 2016 

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