Matthew B Blaschko

The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses

Matthew B. Blaschko, Jiaqian Yu, Matthew B Blaschko, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning

Matthew B. Blaschko, Matthew B Blaschko, Ruben Hemelings, 2020, Acta ophthalmologica.

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

Matthew B. Blaschko, Matthew B Blaschko, Xingchen Ma, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index

Matthew B. Blaschko, Dirk Vandermeulen, Frederik Maes, 2020, IEEE Transactions on Medical Imaging.

Pointwise visual field estimation from optical coherence tomography in glaucoma: a structure-function analysis using deep learning pdf

Matthew B. Blaschko, Matthew B Blaschko, Ruben Hemelings, 2021, ArXiv.

Proliferative diabetic retinopathy characterization based on fractal features: Evaluation on a publicly available dataset

Matthew B. Blaschko, Alejandro Clausse, José Ignacio Orlando, 2017, Medical physics.