Erik Meijering
Orcid: 0000-0001-8015-8358Affiliations:
- University of New South Wales, School of Computer Science and Engineering, Sydney, Australia
- Erasmus University Medical Center, Rotterdam, The Netherlands
- Swiss Federal Institute of Technology, Biomedical Imaging Group, Lausanne, Switzerland
- University Medical Center Utrecht, Image Sciences Institute, The Netherlands
- Utrecht University, The Netherlands (PhD 2000)
According to our database1,
Erik Meijering
authored at least 126 papers
between 1998 and 2024.
Collaborative distances:
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Bibliography
2024
SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
LSKANet: Long Strip Kernel Attention Network for Robotic Surgical Scene Segmentation.
IEEE Trans. Medical Imaging, April, 2024
MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion.
CoRR, 2024
BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion.
CoRR, 2024
2023
Comput. Biol. Medicine, December, 2023
IEEE Trans. Medical Imaging, November, 2023
From Nano to Macro: An overview of the IEEE Bio Image and Signal Processing Technical Committee.
IEEE Signal Process. Mag., June, 2023
A Compound Loss Function With Shape Aware Weight Map for Microscopy Cell Segmentation.
IEEE Trans. Medical Imaging, May, 2023
Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency.
IEEE Trans. Medical Imaging, May, 2023
Eng. Appl. Artif. Intell., May, 2023
Imbalanced classification for protein subcellular localization with multilabel oversampling.
Bioinform., January, 2023
IEEE Trans. Medical Imaging, 2023
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation.
CoRR, 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR, 2023
hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images.
CoRR, 2023
Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning.
CoRR, 2023
Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI Scans.
CoRR, 2023
Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
Large-Kernel Attention Network with Distance Regression and Topological Self-correction for Airway Segmentation.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2022
Datasets used in "3-D quantification of filopodia in motile cancer cells" IEEE Transactions on Medical Imaging 38(3), 862-872 (2019).
Dataset, May, 2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
Deep-Learning-Based Automated Neuron Reconstruction From 3D Microscopy Images Using Synthetic Training Images.
IEEE Trans. Medical Imaging, 2022
DeepRayburst for Automatic Shape Analysis of Tree-Like Structures in Biomedical Images.
IEEE J. Biomed. Health Informatics, 2022
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure.
IEEE Trans. Biomed. Eng., 2022
IEEE Signal Process. Mag., 2022
CoRR, 2022
CoRR, 2022
Attention Guided Deep Supervision Model for Prostate Segmentation in Multisite Heterogeneous MRI Data.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Hybrid Attentive Unet for Segmentation of Lower Leg Muscles and Bones From MRI Scans For Musculoskeletal Research.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
3D Neuron Microscopy Image Segmentation via the Ray-Shooting Model and a DC-BLSTM Network.
IEEE Trans. Medical Imaging, 2021
Spherical-Patches Extraction for Deep-Learning-Based Critical Points Detection in 3D Neuron Microscopy Images.
IEEE Trans. Medical Imaging, 2021
Efficient 3D Junction Detection in Biomedical Images Based on a Circular Sampling Model and Reverse Mapping.
IEEE J. Biomed. Health Informatics, 2021
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation.
CoRR, 2021
Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search.
Bioinform., 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multi-Label Classification Based On Subcellular Region-Guided Feature Description For Protein Localisation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Deformable Convolution and Semi-supervised Learning in Point Clouds for Aneurysm Classification and Segmentation.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Image Process., 2019
Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images Using Sequential Monte Carlo Estimation.
Neuroinformatics, 2019
Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning.
Neuroinformatics, 2019
Facilitating Data Association In Particle Tracking Using Autoencoding And Score Matching.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Nerve Fiber Segmentation in Bright-Field Microscopy Images of Skin Biopsies Using Deep Learning.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
IEEE Signal Process. Mag., 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Accurate estimation of intracellular dynamics and underlying spatial structures using hierarchical trajectory smoothing.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Segmentation of actin-stained 3D fluorescent cells with filopodial protrusions using convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Bioinform., 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Neuron reconstruction from fluorescence microscopy images using sequential Monte Carlo estimation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Fuzzy-Logic Based Detection and Characterization of Junctions and Terminations in Fluorescence Microscopy Images of Neurons.
Neuroinformatics, 2016
Automatic detection of neurons in high-content microscope images using machine learning approaches.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Poisson Point Processes for Solving Stochastic Inverse Problems in Fluorescence Microscopy.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016
2015
IEEE Signal Process. Mag., 2015
Quantitative Bioimaging: Signal Processing in Light Microscopy [From the Guest Editors].
IEEE Signal Process. Mag., 2015
Quantitative comparison of multiframe data association techniques for particle tracking in time-lapse fluorescence microscopy.
Medical Image Anal., 2015
Automated neuron morphology reconstruction using fuzzy-logic detection and Bayesian tracing algorithms.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Advances and Challenges in Dynamic Bioimage Analysis.
Proceedings of the BIODEVICES 2015, 2015
2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
CoRR, 2013
Super-Resolution Reconstruction Using Cross-Scale Self-similarity in Multi-slice MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
IEEE Signal Process. Mag., 2012
Medical Image Anal., 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Super-resolution reconstruction of whole-body MRI mouse data: An interactive approach.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Automated lineage tree reconstruction from Caenorhabditis elegans image data using particle filtering based cell tracking.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
IEEE Trans. Medical Imaging, 2010
Correction to "Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy".
IEEE Trans. Medical Imaging, 2010
IEEE Trans. Medical Imaging, 2010
IEEE Trans. Image Process., 2010
Automated analysis of time-lapse fluorescence microscopy images: from live cell images to intracellular foci.
Bioinform., 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Quantitative Comparison of Spot Detection Methods in Live-Cell Fluorescence Microscopy Imaging.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Energy Minimization Methods for Cell Motion Correction and Intracellular Analysis in Live-Cell Fluorescence Microscopy.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
Particle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images: Application to Microtubule Growth Analysis.
IEEE Trans. Medical Imaging, 2008
Multiple object tracking in molecular bioimaging by Rao-Blackwellized marginal particle filtering.
Medical Image Anal., 2008
A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Advanced level-set based multiple-cell segmentation and tracking in time-lapse fluorescence microscopy images.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
Advanced Particle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
A Variational Model for Level-set Based Cell Tracking in Time-lapse Fluorescence Microscopy Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimaging.
Proceedings of the Information Processing in Medical Imaging, 2007
2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
2005
2004
VAMPIRE: Improved Method for Automated Center Lumen Line Definition in Atherosclerotic Carotid Arteries in CTA Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Neurite Tracing in Fluorescence Microscopy Images using Ridge Filtering and Graph Searching: Principles and Validation.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
2003
Proceedings of the Signal and Image Processing (SIP 2003), 2003
2002
Prolog to a chronology of interpolation: from ancient astronomy to modern signal and image processing.
Proc. IEEE, 2002
A chronology of interpolation: from ancient astronomy to modern signal and image processing.
Proc. IEEE, 2002
Diffusion-enhanced visualization and quantification of vascular anomalies in three-dimensional rotational angiography: Results of an in-vitro evaluation.
Medical Image Anal., 2002
2001
Quantitative evaluation of convolution-based methods for medical image interpolation.
Medical Image Anal., 2001
Evaluation of Diffusion Techniques for Improved Vessel Visualization and Quantification in Three-Dimensional Rotational Angiography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001
2000
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000
Spline interpolation in medical imaging: Comparison with other convolution-based approaches.
Proceedings of the 10th European Signal Processing Conference, 2000
1999
IEEE Trans. Medical Imaging, 1999
Image reconstruction by convolution with symmetrical piecewise nth-order polynomial kernels.
IEEE Trans. Image Process., 1999
Quantitative Comparison of Sinc-Approximating Kernels for Medical Image Interpolation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999
Proceedings of the 1999 International Conference on Image Processing, 1999
Proceedings of the 1999 International Conference on Image Processing, 1999
Piecewise Polynomial Kernels for Image Interpolation: A Generalization of Cubic Convolution.
Proceedings of the 1999 International Conference on Image Processing, 1999
1998
Proceedings of the Medical Imaging 1998: Image Processing, 1998
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998