E. Bekkers

发表

Template Matching via Densities on the Roto-Translation Group

Remco Duits, Bart M. ter Haar Romeny, Marco Loog, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Training of Templates for Object Recognition in Invertible Orientation Scores: Application to Optic Nerve Head Detection in Retinal Images

Remco Duits, Erik J. Bekkers, Marco Loog, 2015, EMMCVPR.

Reliability of Using Retinal Vascular Fractal Dimension as a Biomarker in the Diabetic Retinopathy Detection

B. M. ter Haar Romeny, E. Bekkers, Jiong Zhang, 2016, Journal of ophthalmology.

PART I: Geometric Image Processing: Regularization, Representation, and Locally Adaptive Derivatives

R. Duits, E. Bekkers, 2018 .

DRAFT VERSION of PART II: Invertible Orientation Scores

R. Duits, E. Bekkers, 2018 .

Fourier Transform on the Homogeneous Space of 3D Positions and Orientations for Exact Solutions to PDEs

R. Duits, E. Bekkers, Alexey Pavlovich Mashtakov, 2018 .

PDE-based Group Equivariant Convolutional Neural Networks

R. Duits, E. Bekkers, J. Portegies, 2020, ArXiv.

PDE-based Group Equivariant Convolutional Neural Networks

R. Duits, E. Bekkers, J. Portegies, 2020, ArXiv.

PDE-Based Group Equivariant Convolutional Neural Networks

R. Duits, E. Bekkers, J. Portegies, 2020, Journal of Mathematical Imaging and Vision.

A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging

Angelica I. Avilés-Rivero, Ben Glocker, E. Bekkers, 2022, ArXiv.

Artificial intelligence extension of the OSCAR‐IB criteria

Thomas E. Wisnewski, Jerry L Prince, J. Schuman, 2021, Annals of clinical and translational neurology.

Fourier Transform on the Homogeneous Space of 3D Positions and Orientations for Exact Solutions to Linear PDEs

Remco Duits, Erik J. Bekkers, Alexey Mashtakov, 2018, Entropy.

Coronary CTA: stenosis classification and quantification, including automated measures.

Justus Roos, Erik Bekkers, E. Bekkers, 2009, Journal of cardiovascular computed tomography.

Design and Processing of Invertible Orientation Scores of 3D Images

Remco Duits, Erik J. Bekkers, Augustus J. E. M. Janssen, 2018, Journal of Mathematical Imaging and Vision.

B-Spline CNNs on Lie Groups

E. Bekkers, 2019, ICLR.

Geometric and Physical Quantities improve E(3) Equivariant Message Passing

Elise van der Pol, M. Welling, Johannes Brandstetter, 2021, ICLR.

FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes

Jakub M. Tomczak, David W. Romero, J. V. Gemert, 2021, ICLR.

CKConv: Continuous Kernel Convolution For Sequential Data

Jakub M. Tomczak, David W. Romero, M. Hoogendoorn, 2021, ICLR.

Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations pdf

Erik J. Bekkers, Marco Federici, Jan Zuiderveld, 2021, ArXiv.

Robust and Fast Vessel Segmentation via Gaussian Derivatives in Orientation Scores

Erik J. Bekkers, Samaneh Abbasi-Sureshjani, Jiong Zhang, 2015, ICIAP.

Multiscale Vascular Surface Model Generation From Medical Imaging Data Using Hierarchical Features

Erik J. Bekkers, Charles A. Taylor, Charles A. Taylor, 2008, IEEE Transactions on Medical Imaging.

Wavelet Networks: Scale Equivariant Learning From Raw Waveforms pdf

Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn, 2020, ArXiv.

Attentive Group Equivariant Convolutional Networks

Jakub M. Tomczak, David W. Romero, M. Hoogendoorn, 2020, ICML.

Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores

Josien P. W. Pluim, Remco Duits, Erik J. Bekkers, 2016, IEEE Transactions on Medical Imaging.

Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis

Remco Duits, Erik J. Bekkers, Josien P.W. Pluim, 2020, Medical Image Anal..

Roto-Translation Covariant Convolutional Networks for Medical Image Analysis pdf

Mitko Veta, Josien P. W. Pluim, Remco Duits, 2018, MICCAI.

Kendall Shape-VAE : Learning Shapes in a Generative Framework

Jakub M. Tomczak, Arianna Di Bernardo, Sharvaree P. Vadgama, 2022 .

Towards a General Purpose CNN for Long Range Dependencies in ND

Jakub M. Tomczak, David W. Romero, David M. Knigge, 2022, ArXiv.

ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups pdf

Erik J. Bekkers, Michael Defferrard, Hugo Aguettaz, 2021, ArXiv.

Brain-inspired algorithms for retinal image analysis

Julius Hannink, Remco Duits, Erik J. Bekkers, 2016, Machine Vision and Applications.

A Multi-Orientation Analysis Approach to Retinal Vessel Tracking

Remco Duits, Erik J. Bekkers, Bart M. ter Haar Romeny, 2012, Journal of Mathematical Imaging and Vision.

Nilpotent Approximations of Sub-Riemannian Distances for Fast Perceptual Grouping of Blood Vessels in 2D and 3D

Erik J. Bekkers, Da Chen, Jorg M. Portegies, 2017, Journal of Mathematical Imaging and Vision.

Recent Geometric Flows in Multi-orientation Image Processing via a Cartan Connection

R. Duits, B. M. N. Smets, A. J. Wemmenhove, 2021, Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging.

Sub-Riemannian Fast Marching in SE(2)

Remco Duits, Erik J. Bekkers, Jean-Marie Mirebeau, 2015, CIARP.

A PDE Approach to Data-Driven Sub-Riemannian Geodesics in SE(2)

Remco Duits, Erik J. Bekkers, Gonzalo Sanguinetti, 2015, SIAM J. Imaging Sci..

An Exploration of Conditioning Methods in Graph Neural Networks

E. Bekkers, Yeskendir Koishekenov, 2023, ArXiv.

Design and Processing of Invertible Orientation Scores of 3D Images for Enhancement of Complex Vasculature

R. Duits, A. Janssen, E. Bekkers, 2017, ArXiv.

Retinal vessel delineation using a brain-inspired wavelet transform and random forest

Erik J. Bekkers, Jiong Zhang, Bart M. ter Haar Romeny, 2017, Pattern Recognit..

Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN

Jakub M. Tomczak, David W. Romero, David M. Knigge, 2023, ICLR.

An Introduction to Equivariant Convolutional Neural Networks for Continuous Groups

E. Bekkers, 2021 .

Automatic detection of vascular bifurcations and crossings in retinal images using orientation scores

Erik J. Bekkers, Samaneh Abbasi-Sureshjani, Bart M. ter Haar Romeny, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Connor W. Coley, Chaitanya K. Joshi, Aria Mansouri Tehrani, 2023, arXiv.org.

Vascular biomarkers for diabetes and diabetic retinopathy screening

Erik J. Bekkers, Samaneh Abbasi-Sureshjani, Bart M. ter Haar Romeny, 2019, Computational Retinal Image Analysis.

Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data

I. Išgum, E. Bekkers, R. Knops, 2022, CinC.

Equivariant Deep Learning via Morphological and Linear Scale Space PDEs on the Space of Positions and Orientations

Remco Duits, Erik J. Bekkers, Jim Portegies, 2021, SSVM.

Data-Driven Sub-Riemannian Geodesics in SE(2)

R. Duits, E. Bekkers, A. Mashtakov, 2015, Scale Space and Variational Methods in Computer Vision.

E(n) Equivariant Message Passing Simplicial Networks

E. Bekkers, Rob D. Hesselink, Floor Eijkelboom, 2023, ICML.

Interpretable ECG classification via a query-based latent space traversal (qLST) pdf

Erik Bekkers, Pieter A. Doevendans, Melle B. Vessies, 2021, ArXiv.

On genuine invariance learning without weight-tying

A. Smeulders, E. Bekkers, A. Moskalev, 2023, TAG-ML.

DRAFT VERSION . Part III : Tracking in Orientation Scores Optimal Paths for Variants of the 2 D and 3 D Reeds-Shepp

R. Duits, E. Bekkers, J. Portegies, 2020 .

Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series

Jakub M. Tomczak, David W. Romero, E. Bekkers, 2020, 2006.05259.

FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes

Jakub M. Tomczak, David W. Romero, J. V. Gemert, 2021, ICLR.

Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space

David W. Romero, Sharvaree P. Vadgama, E. Bekkers, 2023, ArXiv.

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Connor W. Coley, Chaitanya K. Joshi, Aria Mansouri Tehrani, 2023, ArXiv.