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Matthew B Blaschko

Showing results (11-20 of 22) with videos related to

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IEEE Transactions on Medical Imaging|August 4, 2020
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard IndexTom Eelbode, Jeroen Bertels, Maxim Berman, et al.
Scientific Reports|October 14, 2021
Deep learning on fundus images detects glaucoma beyond the optic discRuben Hemelings, Bart Elen, João Barbosa-Breda, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|July 10, 2019
Artery-vein segmentation in fundus images using a fully convolutional networkRuben Hemelings, Bart Elen, Ingeborg Stalmans, et al.
IEEE Transactions on Cybernetics|October 6, 2021
Kinematics Design of a MacPherson Suspension Architecture Based on Bayesian OptimizationSinnu Susan Thomas, Jacopo Palandri, Mohsen Lakehal-Ayat, et al.
Medical Physics|October 19, 2017
Proliferative diabetic retinopathy characterization based on fractal features: Evaluation on a publicly available datasetJosé Ignacio Orlando, Karel van Keer, João Barbosa Breda, et al.
Translational Vision Science & Technology|August 23, 2022
Pointwise Visual Field Estimation From Optical Coherence Tomography in Glaucoma Using Deep LearningRuben Hemelings, Bart Elen, João Barbosa-Breda, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 2, 2018
Intraoperative margin assessment of human breast tissue in optical coherence tomography images using deep neural networksAmal Rannen Triki, Matthew B Blaschko, Yoon Mo Jung, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 12, 2015
Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support normEugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, et al.
Acta Ophthalmologica|July 26, 2019
Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learningRuben Hemelings, Bart Elen, João Barbosa-Breda, et al.
NPJ Digital Medicine|June 13, 2023
A generalizable deep learning regression model for automated glaucoma screening from fundus imagesRuben Hemelings, Bart Elen, Alexander K Schuster, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Medical Imaging|August 4, 2020
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard IndexTom Eelbode, Jeroen Bertels, Maxim Berman, et al.
Scientific Reports|October 14, 2021
Deep learning on fundus images detects glaucoma beyond the optic discRuben Hemelings, Bart Elen, João Barbosa-Breda, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|July 10, 2019
Artery-vein segmentation in fundus images using a fully convolutional networkRuben Hemelings, Bart Elen, Ingeborg Stalmans, et al.
IEEE Transactions on Cybernetics|October 6, 2021
Kinematics Design of a MacPherson Suspension Architecture Based on Bayesian OptimizationSinnu Susan Thomas, Jacopo Palandri, Mohsen Lakehal-Ayat, et al.
Medical Physics|October 19, 2017
Proliferative diabetic retinopathy characterization based on fractal features: Evaluation on a publicly available datasetJosé Ignacio Orlando, Karel van Keer, João Barbosa Breda, et al.
Translational Vision Science & Technology|August 23, 2022
Pointwise Visual Field Estimation From Optical Coherence Tomography in Glaucoma Using Deep LearningRuben Hemelings, Bart Elen, João Barbosa-Breda, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 2, 2018
Intraoperative margin assessment of human breast tissue in optical coherence tomography images using deep neural networksAmal Rannen Triki, Matthew B Blaschko, Yoon Mo Jung, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 12, 2015
Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support normEugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, et al.
Acta Ophthalmologica|July 26, 2019
Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learningRuben Hemelings, Bart Elen, João Barbosa-Breda, et al.
NPJ Digital Medicine|June 13, 2023
A generalizable deep learning regression model for automated glaucoma screening from fundus imagesRuben Hemelings, Bart Elen, Alexander K Schuster, et al.
Pageof 3