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ORCIDErik Meijering
Erik H. W. Meijering
Person information
- affiliation: University of New South Wales, School of Computer Science and Engineering, Sydney, Australia
- affiliation: Erasmus University Medical Center, Rotterdam, The Netherlands
- affiliation: Swiss Federal Institute of Technology, Biomedical Imaging Group, Lausanne, Switzerland
- affiliation: University Medical Center Utrecht, Image Sciences Institute, The Netherlands
- affiliation (PhD 2000): Utrecht University, The Netherlands
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2020 – today
- 2024
[j54]Tariq Mahmood Khan
, Syed Saud Naqvi, Erik Meijering:
ESDMR-Net: A lightweight network with expand-squeeze and dual multiscale residual connections for medical image segmentation. Eng. Appl. Artif. Intell. 133: 107995 (2024)- [j53]Min Liu, Yubin Han, Jiazheng Wang, Can Wang, Yaonan Wang, Erik Meijering:
LSKANet: Long Strip Kernel Attention Network for Robotic Surgical Scene Segmentation. IEEE Trans. Medical Imaging 43(4): 1308-1322 (2024) - [j52]Hao Du, Jiazheng Wang, Min Liu, Yaonan Wang, Erik Meijering:
SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5355-5366 (2024) - [i17]Raktim Kumar Mondol, Ewan K. A. Millar, Arcot Sowmya, Erik Meijering:
BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion. CoRR abs/2402.10717 (2024) - [i16]Raktim Kumar Mondol, Ewan K. A. Millar, Arcot Sowmya, Erik Meijering:
MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion. CoRR abs/2402.11788 (2024) - 2023
- [j51]Priyanka Rana, Arcot Sowmya, Erik Meijering, Yang Song:
Imbalanced classification for protein subcellular localization with multilabel oversampling. Bioinform. 39(1) (2023) - [j50]Runze Chen, Min Liu, Weixun Chen, Yaonan Wang, Erik Meijering:
Deep learning in mesoscale brain image analysis: A review. Comput. Biol. Medicine 167: 107617 (2023) - [j49]Tariq Mahmood Khan, Muhammad Arsalan, Imran Razzak, Erik Meijering:
Simple and robust depth-wise cascaded network for polyp segmentation. Eng. Appl. Artif. Intell. 121: 106023 (2023) - [j48]Yanming Zhu, Min Wang, Xuefei Yin, Jue Zhang, Erik Meijering, Jiankun Hu:
Deep Learning in Diverse Intelligent Sensor Based Systems. Sensors 23(1): 62 (2023) - [j47]Selin Aviyente, Alejandro F. Frangi, Erik Meijering, Arrate Muñoz-Barrutia, Michael Liebling, Dimitri Van De Ville, Jean-Christophe Olivo-Marin, Jelena Kovacevic, Michael Unser:
From Nano to Macro: An overview of the IEEE Bio Image and Signal Processing Technical Committee. IEEE Signal Process. Mag. 40(4): 61-71 (2023) - [j46]Xiaodan Wei, Qinghao Liu, Min Liu, Yaonan Wang, Erik Meijering:
3D Soma Detection in Large-Scale Whole Brain Images via a Two-Stage Neural Network. IEEE Trans. Medical Imaging 42(1): 148-157 (2023) - [j45]Yanming Zhu, Xuefei Yin, Erik Meijering:
A Compound Loss Function With Shape Aware Weight Map for Microscopy Cell Segmentation. IEEE Trans. Medical Imaging 42(5): 1278-1288 (2023) - [j44]Lei Fan, Arcot Sowmya, Erik Meijering, Yang Song:
Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency. IEEE Trans. Medical Imaging 42(5): 1401-1412 (2023) - [j43]Wenting Shen, Yaonan Wang, Min Liu, Jiazheng Wang, Renjie Ding, Zhe Zhang, Erik Meijering:
Branch Aggregation Attention Network for Robotic Surgical Instrument Segmentation. IEEE Trans. Medical Imaging 42(11): 3408-3419 (2023) - [c59]Yan Hu, Erik Meijering, Yang Song:
Large-Kernel Attention Network with Distance Regression and Topological Self-correction for Airway Segmentation. AI (1) 2023: 115-126 - [c58]Tariq Mahmood Khan, Muhammad Arsalan, Shahzaib Iqbal, Imran Razzak, Erik Meijering:
Feature Enhancer Segmentation Network (FES-Net)for Vessel Segmentation. DICTA 2023: 160-167 - [c57]Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan:
IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification. ICIP 2023: 2400-2404 - [c56]Kuruparan Shanmugalingam, Daniel Aaron Moses, Arcot Sowmya, Erik Meijering:
Membranous Urethral Reconstruction and Segmentation in Multiplanar T2W MRI Images. ISBI 2023: 1-4 - [c55]Jiayi Zhu, Bart Bolsterlee, Brian V. Y. Chow, Yang Song, Erik Meijering:
Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images. MICCAI (3) 2023: 659-669 - [c54]Kuruparan Shanmugalingam, Arcot Sowmya, Daniel Aaron Moses, Erik Meijering:
Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images. MLMI@MICCAI (1) 2023: 217-226 - [i15]Masoud Fetanat, Michael C. Stevens, Pankaj Jain, Christopher Hayward, Erik Meijering, Nigel H. Lovell:
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure. CoRR abs/2301.07710 (2023) - [i14]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i13]Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan:
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification. CoRR abs/2303.02310 (2023) - [i12]Jiayi Zhu, Bart Bolsterlee, Brian V. Y. Chow, Yang Song, Erik Meijering:
Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI Scans. CoRR abs/2303.05126 (2023) - [i11]Md Mamunur Rahaman, Ewan K. A. Millar, Erik Meijering:
Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning. CoRR abs/2303.09987 (2023) - [i10]Raktim Kumar Mondol, Ewan K. A. Millar, Peter H. Graham, Lois Browne, Arcot Sowmya, Erik Meijering:
hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images. CoRR abs/2304.04507 (2023) - [i9]Tariq Mahmood Khan, Muhammad Arsalan, Shahzaib Iqbal, Imran Razzak, Erik Meijering:
Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation. CoRR abs/2309.03535 (2023) - [i8]Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.:
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR abs/2309.12325 (2023) - [i7]Tariq Mahmood Khan, Syed Saud Naqvi, Erik Meijering:
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation. CoRR abs/2312.10585 (2023) - 2022
- [j42]Erik Meijering, Vince D. Calhoun, Gloria Menegaz, David J. Miller, Jong Chul Ye:
Deep Learning in Biological Image and Signal Processing [From the Guest Editors]. IEEE Signal Process. Mag. 39(2): 24-26 (2022) - [j41]Masoud Fetanat, Michael C. Stevens, Pankaj Jain, Christopher Hayward, Erik Meijering, Nigel H. Lovell:
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. 69(5): 1733-1744 (2022) - [j40]Yi Jiang, Weixun Chen, Min Liu, Yaonan Wang, Erik Meijering:
DeepRayburst for Automatic Shape Analysis of Tree-Like Structures in Biomedical Images. IEEE J. Biomed. Health Informatics 26(5): 2204-2215 (2022) - [j39]Bo Yang, Min Liu, Yaonan Wang, Kang Zhang, Erik Meijering:
Structure-Guided Segmentation for 3D Neuron Reconstruction. IEEE Trans. Medical Imaging 41(4): 903-914 (2022) - [j38]Weixun Chen, Min Liu, Hao Du, Miroslav Radojevic, Yaonan Wang, Erik Meijering:
Deep-Learning-Based Automated Neuron Reconstruction From 3D Microscopy Images Using Synthetic Training Images. IEEE Trans. Medical Imaging 41(5): 1031-1042 (2022) - [j37]Xuan Wang, Min Liu, Yaonan Wang, Jiawang Fan, Erik Meijering:
A 3D Tubular Flux Model for Centerline Extraction in Neuron Volumetric Images. IEEE Trans. Medical Imaging 41(5): 1069-1079 (2022) - [c53]Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Erik Meijering:
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction. ICONIP (1) 2022: 612-623 - [c52]Yan Hu, Yongsheng Pan, Yang Song, Erik Meijering, Zhiming Cui, Yue Zhao, Zhongxiang Ding, Min Zhu, Dinggang Shen:
Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images. ISBI 2022: 1-4 - [c51]Priyanka Rana, Arcot Sowmya, Erik Meijering, Yang Song:
Imbalanced Cell-Cycle Classification Using Wgan-Div and Mixup. ISBI 2022: 1-4 - [c50]Jiayi Zhu, Bart Bolsterlee, Brian V. Y. Chow, Yang Song, Erik Meijering:
Hybrid Attentive Unet for Segmentation of Lower Leg Muscles and Bones From MRI Scans For Musculoskeletal Research. ISBI 2022: 1-5 - [c49]Lei Fan, Arcot Sowmya, Erik Meijering, Yang Song:
Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning. MICCAI (2) 2022: 409-419 - [c48]Kuruparan Shanmugalingam, Arcot Sowmya, Daniel Aaron Moses, Erik Meijering:
Attention Guided Deep Supervision Model for Prostate Segmentation in Multisite Heterogeneous MRI Data. MIDL 2022: 1085-1095 - [d1]Carlos Castilla, Martin Maska, Dmitry V. Sorokin, Erik Meijering, Carlos Ortiz-de-Solorzano:
Datasets used in "3-D quantification of filopodia in motile cancer cells" IEEE Transactions on Medical Imaging 38(3), 862-872 (2019). IEEE DataPort, 2022
- [i6]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i5]Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Erik Meijering:
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction. CoRR abs/2210.07451 (2022) - [i4]Tariq Mahmood Khan, Muhammad Arsalan, Antonio Robles-Kelly, Erik Meijering:
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation. CoRR abs/2210.08168 (2022) - 2021
- [j36]Yanming Zhu, Erik Meijering:
Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search. Bioinform. 37(24): 4844-4850 (2021) - [j35]Lan Shen, Min Liu, Chao Wang, Changhao Guo, Erik Meijering, Yaonan Wang:
Efficient 3D Junction Detection in Biomedical Images Based on a Circular Sampling Model and Reverse Mapping. IEEE J. Biomed. Health Informatics 25(5): 1612-1623 (2021) - [j34]Yi Jiang, Weixun Chen, Min Liu, Yaonan Wang, Erik Meijering:
3D Neuron Microscopy Image Segmentation via the Ray-Shooting Model and a DC-BLSTM Network. IEEE Trans. Medical Imaging 40(1): 26-37 (2021) - [j33]Weixun Chen, Min Liu, Qi Zhan, Yinghui Tan, Erik Meijering, Miroslav Radojevic, Yaonan Wang:
Spherical-Patches Extraction for Deep-Learning-Based Critical Points Detection in 3D Neuron Microscopy Images. IEEE Trans. Medical Imaging 40(2): 527-538 (2021) - [c47]Yan Hu, Erik Meijering, Yong Xia, Yang Song:
Deformable Convolution and Semi-supervised Learning in Point Clouds for Aneurysm Classification and Segmentation. ICONIP (6) 2021: 283-290 - [c46]Priyanka Rana, Erik Meijering, Arcot Sowmya, Yang Song:
Multi-Label Classification Based On Subcellular Region-Guided Feature Description For Protein Localisation. ISBI 2021: 1929-1933 - [c45]Wenzhao Wei, Sacha Haidinger, John G. Lock, Erik Meijering:
Deep Representation Learning for Image-Based Cell Profiling. MLMI@MICCAI 2021: 487-497 - [c44]Lei Fan, Arcot Sowmya, Erik Meijering, Yang Song:
Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images. MICCAI (8) 2021: 592-601 - [i3]Tariq Mahmood Khan, Syed Saud Naqvi, Erik Meijering:
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation. CoRR abs/2112.11065 (2021) - 2020
- [j32]Yao Yao, Ihor Smal, Ilya Grigoriev, Anna Akhmanova, Erik Meijering:
Deep-learning method for data association in particle tracking. Bioinform. 36(19): 4935-4941 (2020) - [c43]Samuël N. Geurts, Nynke Oosterhof, Laura E. Kuil, Herma C. van der Linde, Tjakko J. van Ham, Erik Meijering:
Automated Quantitative Analysis of Microglia in Bright-Field Images of Zebrafish. ISBI 2020: 522-525 - [c42]Yanming Zhu, Erik Meijering:
Neural Architecture Search for Microscopy Cell Segmentation. MLMI@MICCAI 2020: 542-551
2010 – 2019
- 2019
- [j31]Gadea Mata, Miroslav Radojevic, Carlos Fernandez-Lozano, Ihor Smal, Niels Werij, Miguel Morales, Erik Meijering, Julio Rubio:
Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning. Neuroinformatics 17(2): 253-269 (2019) - [j30]Miroslav Radojevic, Erik Meijering:
Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images Using Sequential Monte Carlo Estimation. Neuroinformatics 17(3): 423-442 (2019) - [j29]Hamid Fehri, Ali Gooya, Yuanjun Lu, Erik Meijering, Simon A. Johnston, Alejandro F. Frangi:
Bayesian Polytrees With Learned Deep Features for Multi-Class Cell Segmentation. IEEE Trans. Image Process. 28(7): 3246-3260 (2019) - [j28]Carlos Castilla, Martin Maska, Dmitry V. Sorokin, Erik Meijering, Carlos Ortiz-de-Solorzano:
3-D Quantification of Filopodia in Motile Cancer Cells. IEEE Trans. Medical Imaging 38(3): 862-872 (2019) - [c41]Herman Bergwerf, Malik Bechakra, Ihor Smal, Joost L. M. Jongen, Erik Meijering:
Nerve Fiber Segmentation in Bright-Field Microscopy Images of Skin Biopsies Using Deep Learning. ISBI 2019: 232-235 - [c40]Ihor Smal, Yao Yao, Niels Galjart, Erik Meijering:
Facilitating Data Association In Particle Tracking Using Autoencoding And Score Matching. ISBI 2019: 1523-1526 - 2018
- [j27]Erik Meijering, Arrate Muñoz-Barrutia:
Spotlight on Bioimaging and Signal Processing [In the Spotlight]. IEEE Signal Process. Mag. 35(6): 128-125 (2018) - [c39]Carlos Castilla, Martin Maska, Dmitry V. Sorokin, Erik Meijering, Carlos Ortiz-de-Solorzano:
Segmentation of actin-stained 3D fluorescent cells with filopodial protrusions using convolutional neural networks. ISBI 2018: 413-417 - [c38]Yao Yao, Ihor Smal, Erik Meijering:
Deep neural networks for data association in particle tracking. ISBI 2018: 458-461 - [c37]Ihor Smal, Niels Galjart, Erik Meijering:
Accurate estimation of intracellular dynamics and underlying spatial structures using hierarchical trajectory smoothing. ISBI 2018: 973-976 - 2017
- [j26]Miroslav Radojevic, Erik Meijering:
Automated neuron tracing using probability hypothesis density filtering. Bioinform. 33(7): 1073-1080 (2017) - [c36]Miroslav Radojevic, Erik Meijering:
Neuron reconstruction from fluorescence microscopy images using sequential Monte Carlo estimation. ISBI 2017: 36-39 - [c35]Ihor Smal, Sreya Basu, Laura Sayas, Niels Galjart, Erik Meijering:
Gaussian processes for trajectory analysis in microtubule tracking applications. ISBI 2017: 206-209 - 2016
- [j25]Miroslav Radojevic, Ihor Smal, Erik Meijering:
Fuzzy-Logic Based Detection and Characterization of Junctions and Terminations in Fluorescence Microscopy Images of Neurons. Neuroinformatics 14(2): 201-219 (2016) - [c34]Ihor Smal, Erik Meijering:
Poisson Point Processes for Solving Stochastic Inverse Problems in Fluorescence Microscopy. ECCV Workshops (1) 2016: 326-338 - [c33]Gadea Mata, Miroslav Radojevic, Ihor Smal, Miguel Morales, Erik Meijering, Julio Rubio:
Automatic detection of neurons in high-content microscope images using machine learning approaches. ISBI 2016: 330-333 - 2015
- [j24]Ihor Smal, Erik Meijering:
Quantitative comparison of multiframe data association techniques for particle tracking in time-lapse fluorescence microscopy. Medical Image Anal. 24(1): 163-189 (2015) - [j23]Hanchuan Peng, Erik Meijering, Giorgio A. Ascoli:
From DIADEM to BigNeuron. Neuroinformatics 13(3): 259-260 (2015) - [j22]Arrate Muñoz-Barrutia, Jelena Kovacevic, Michal Kozubek, Erik Meijering, Braham Parvin:
Quantitative Bioimaging: Signal Processing in Light Microscopy [From the Guest Editors]. IEEE Signal Process. Mag. 32(1): 18-19 (2015) - [j21]Carlos Ortiz-de-Solorzano, Arrate Muñoz-Barrutia, Erik Meijering, Michal Kozubek:
Toward a Morphodynamic Model of the Cell: Signal processing for cell modeling. IEEE Signal Process. Mag. 32(1): 20-29 (2015) - [c32]Erik Meijering:
Advances and Challenges in Dynamic Bioimage Analysis. BIOSTEC 2015: IS-5 - [c31]Miroslav Radojevic, Ihor Smal, Erik Meijering:
Automated neuron morphology reconstruction using fuzzy-logic detection and Bayesian tracing algorithms. ISBI 2015: 885-888 - 2014
- [j20]Martin Maska, Vladimír Ulman, David Svoboda, Pavel Matula, Petr Matula, Cristina Ederra, Ainhoa Urbiola, Tomás España, Subramanian Venkatesan, Deepak M. W. Balak, Pavel Karas, Tereza Bolcková, Markéta Streitová, Craig Carthel, Stefano Coraluppi, Nathalie Harder, Karl Rohr, Klas E. G. Magnusson, Joakim Jaldén, Helen M. Blau, Oleh Dzyubachyk, Pavel Krízek, Guy M. Hagen, David Pastor-Escuredo, Daniel Jimenez-Carretero, María J. Ledesma-Carbayo, Arrate Muñoz-Barrutia, Erik Meijering, Michal Kozubek, Carlos Ortiz-de-Solorzano:
A benchmark for comparison of cell tracking algorithms. Bioinform. 30(11): 1609-1617 (2014) - [c30]Ömer Demirel, Ihor Smal, Wiro J. Niessen, Erik Meijering, Ivo F. Sbalzarini:
An adaptive distributed resampling algorithm with non-proportional allocation. ICASSP 2014: 1635-1639 - [c29]Miroslav Radojevic, Ihor Smal, Wiro J. Niessen, Erik Meijering:
Fuzzy logic based detection of neuron bifurcations in microscopy images. ISBI 2014: 1307-1310 - 2013
- [c28]Esben Plenge, Dirk H. J. Poot, Wiro J. Niessen, Erik Meijering:
Super-Resolution Reconstruction Using Cross-Scale Self-similarity in Multi-slice MRI. MICCAI (3) 2013: 123-130 - [i2]Ömer Demirel, Ihor Smal, Wiro J. Niessen, Erik Meijering, Ivo F. Sbalzarini:
PPF - A Parallel Particle Filtering Library. CoRR abs/1310.5045 (2013) - [i1]Ömer Demirel, Ihor Smal, Wiro J. Niessen, Erik Meijering, Ivo F. Sbalzarini:
Piecewise Constant Sequential Importance Sampling for Fast Particle Filtering. CoRR abs/1310.5541 (2013) - 2012
- [j19]Ihor Smal, Noemí Carranza-Herrezuelo, Stefan Klein, Piotr Wielopolski, Adriaan Moelker, Tirza Springeling, Monique Bernsen, Wiro J. Niessen, Erik Meijering:
Reversible jump MCMC methods for fully automatic motion analysis in tagged MRI. Medical Image Anal. 16(1): 301-324 (2012) - [j18]Erik Meijering:
Cell Segmentation: 50 Years Down the Road [Life Sciences]. IEEE Signal Process. Mag. 29(5): 140-145 (2012) - [c27]Artem Khmelinskii, Esben Plenge, Peter Kok, Oleh Dzyubachyk, Dirk H. J. Poot, E. Suidgeest, Charl P. Botha, Wiro J. Niessen, Louise van der Weerd, Erik Meijering, Boudewijn P. F. Lelieveldt:
Super-resolution reconstruction of whole-body MRI mouse data: An interactive approach. ISBI 2012: 1723-1726 - [c26]Erik Meijering:
Reconstruction and quantification of neuronal morphology. ISBI 2012: 1787 - [c25]Esben Plenge, Dirk H. J. Poot, Monique Bernsen, Gyula Kotek, Gavin Houston, Piotr Wielopolski, Louise van der Weerd, Wiro J. Niessen, Erik Meijering:
Super-resolution in MRI: better images faster? Medical Imaging: Image Processing 2012: 83143V - 2011
- [c24]Ihor Smal, Noemí Carranza-Herrezuelo, Stefan Klein, Wiro J. Niessen, Erik Meijering:
Quantitative comparison of tracking methods for motion analysis in tagged MRI. ISBI 2011: 345-348 - [c23]Noemí Carranza-Herrezuelo, Ihor Smal, Oleh Dzyubachyk, Wiro J. Niessen, Erik Meijering:
Automated lineage tree reconstruction from Caenorhabditis elegans image data using particle filtering based cell tracking. ISBI 2011: 1921-1924 - [c22]Ihor Smal, Noemí Carranza-Herrezuelo, Stefan Klein, Wiro J. Niessen, Erik Meijering:
Trans-Dimensional MCMC Methods for Fully Automatic Motion Analysis in Tagged MRI. MICCAI (1) 2011: 573-580 - 2010
- [j17]Oleh Dzyubachyk, Jeroen Essers, Wiggert A. van Cappellen, Céline Baldeyron, Akiko Inagaki, Wiro J. Niessen, Erik Meijering:
Automated analysis of time-lapse fluorescence microscopy images: from live cell images to intracellular foci. Bioinform. 26(19): 2424-2430 (2010) - [j16]Ihor Smal, Ilya Grigoriev, Anna Akhmanova, Wiro J. Niessen, Erik Meijering:
Microtubule Dynamics Analysis Using Kymographs and Variable-Rate Particle Filters. IEEE Trans. Image Process. 19(7): 1861-1876 (2010) - [j15]Ihor Smal, Marco Loog, Wiro J. Niessen, Erik Meijering:
Quantitative Comparison of Spot Detection Methods in Fluorescence Microscopy. IEEE Trans. Medical Imaging 29(2): 282-301 (2010) - [j14]Oleh Dzyubachyk, Wiggert A. van Cappellen, Jeroen Essers, Wiro J. Niessen, Erik Meijering:
Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy. IEEE Trans. Medical Imaging 29(3): 852-867 (2010) - [j13]Oleh Dzyubachyk, Wiggert A. van Cappellen, Jeroen Essers, Wiro J. Niessen, Erik Meijering:
Correction to "Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy". IEEE Trans. Medical Imaging 29(6): 1331 (2010) - [c21]Ihor Smal, Wiro J. Niessen, Erik Meijering:
Particle filtering methods for motion analysis in tagged MRI. ISBI 2010: 488-491
2000 – 2009
- 2009
- [c20]Oleh Dzyubachyk, Wiggert A. van Cappellen, Jeroen Essers, Wiro J. Niessen, Erik Meijering:
Energy Minimization Methods for Cell Motion Correction and Intracellular Analysis in Live-Cell Fluorescence Microscopy. ISBI 2009: 1127-1130 - [c19]Ihor Smal, Marco Loog, Wiro J. Niessen, Erik Meijering:
Quantitative Comparison of Spot Detection Methods in Live-Cell Fluorescence Microscopy Imaging. ISBI 2009: 1175-1178 - 2008
- [j12]Ihor Smal, Erik Meijering, Katharina Draegestein, Niels Galjart, Ilya Grigoriev, Anna Akhmanova, M. E. van Royen, Adriaan B. Houtsmuller, Wiro J. Niessen:
Multiple object tracking in molecular bioimaging by Rao-Blackwellized marginal particle filtering. Medical Image Anal. 12(6): 764-777 (2008) - [j11]Ihor Smal, Katharina Draegestein, Niels Galjart, Wiro J. Niessen, Erik Meijering:
Particle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images: Application to Microtubule Growth Analysis. IEEE Trans. Medical Imaging 27(6): 789-804 (2008) - [c18]Oleh Dzyubachyk, Wiro J. Niessen, Erik Meijering:
Advanced level-set based multiple-cell segmentation and tracking in time-lapse fluorescence microscopy images. ISBI 2008: 185-188 - [c17]Ihor Smal, Wiro J. Niessen, Erik Meijering:
A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering. ISBI 2008: 264-267 - 2007
- [c16]Ihor Smal, Katharina Draegestein, Niels Galjart, Wiro J. Niessen, Erik Meijering:
Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimaging. IPMI 2007: 110-121 - [c15]Oleh Dzyubachyk, Wiro J. Niessen, Erik Meijering:
A Variational Model for Level-set Based Cell Tracking in Time-lapse Fluorescence Microscopy Images. ISBI 2007: 97-100 - [c14]Ihor Smal, Wiro J. Niessen, Erik Meijering:
Advanced Particle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images. ISBI 2007: 1048-1051 - 2006
- [j10]Erik Meijering, Ihor Smal, Gaudenz Danuser:
Tracking in molecular bioimaging. IEEE Signal Process. Mag. 23(3): 46-53 (2006) - [c13]Ihor Smal, Wiro J. Niessen, Erik Meijering:
Bayesian tracking for fluorescence microscopic imaging. ISBI 2006: 550-553 - 2005
- [j9]R. Murphy, Erik Meijering, Gaudenz Danuser:
Guest Editorial. IEEE Trans. Image Process. 14(9): 1233-1236 (2005) - 2004
- [c12]Erik Meijering, Mathews Jacob, J.-C. Floyd Sarria, Pascal Steiner, Harald Hirling, Michael Unser:
Neurite Tracing in Fluorescence Microscopy Images using Ridge Filtering and Graph Searching: Principles and Validation. ISBI 2004: 1219-1222 - [c11]Hugo A. F. Gratama van Andel, Erik Meijering, Aad van der Lugt, Henri A. Vrooman, Rik Stokking:
VAMPIRE: Improved Method for Automated Center Lumen Line Definition in Atherosclerotic Carotid Arteries in CTA Data. MICCAI (1) 2004: 525-532 - 2003
- [j8]Erik Meijering, Michael Unser:
A note on cubic convolution interpolation. IEEE Trans. Image Process. 12(4): 477-479 (2003) - [c10]Erik Meijering, Mathews Jacob, J.-C. Floyd Sarria, Michael Unser:
A Novel Approach to Neurite Tracing in Fluorescence Microscopy Images. SIP 2003: 491-495 - 2002
- [j7]Erik Meijering, Wiro J. Niessen, Joachim Weickert, Max A. Viergever:
Diffusion-enhanced visualization and quantification of vascular anomalies in three-dimensional rotational angiography: Results of an in-vitro evaluation. Medical Image Anal. 6(3): 215-233 (2002) - [j6]Erik Meijering, Howard Falk:
Prolog to a chronology of interpolation: from ancient astronomy to modern signal and image processing. Proc. IEEE 90(3): 317-318 (2002) - [j5]Erik Meijering:
A chronology of interpolation: from ancient astronomy to modern signal and image processing. Proc. IEEE 90(3): 319-342 (2002) - 2001
- [j4]Erik H. W. Meijering, Wiro J. Niessen, Max A. Viergever:
Quantitative evaluation of convolution-based methods for medical image interpolation. Medical Image Anal. 5(2): 111-126 (2001) - [c9]Erik Meijering, Wiro J. Niessen, Joachim Weickert, Max A. Viergever:
Evaluation of Diffusion Techniques for Improved Vessel Visualization and Quantification in Three-Dimensional Rotational Angiography. MICCAI 2001: 177-185 - 2000
- [c8]Erik H. W. Meijering:
Spline interpolation in medical imaging: Comparison with other convolution-based approaches. EUSIPCO 2000: 1-8 - [c7]Shirley A. M. Baert, Wiro J. Niessen, Erik H. W. Meijering, Alejandro F. Frangi, Max A. Viergever:
Guide Wire Tracking During Endovascular Interventions. MICCAI 2000: 727-734
1990 – 1999
- 1999
- [j3]Erik H. W. Meijering, Karel J. Zuiderveld, Max A. Viergever:
Image Registration for Digital Subtraction Angiography. Int. J. Comput. Vis. 31(2-3): 227-246 (1999) - [j2]Erik H. W. Meijering, Karel J. Zuiderveld, Max A. Viergever:
Image reconstruction by convolution with symmetrical piecewise nth-order polynomial kernels. IEEE Trans. Image Process. 8(2): 192-201 (1999) - [j1]Erik H. W. Meijering, Wiro J. Niessen, Max A. Viergever:
Retrospective Motion Correction in Digital Subtraction Angiography: A Review. IEEE Trans. Medical Imaging 18(18): 2-21 (1999) - [c6]Erik H. W. Meijering, Karel J. Zuiderveld, Wiro J. Niessen, Max A. Viergever:
A Fast Image Registration Technique for Motion Artifact Reduction in DSA. ICIP (3) 1999: 435-439 - [c5]Erik H. W. Meijering, Wiro J. Niessen, Max A. Viergever:
Piecewise Polynomial Kernels for Image Interpolation: A Generalization of Cubic Convolution. ICIP (3) 1999: 647-651 - [c4]Erik H. W. Meijering, Wiro J. Niessen, Max A. Viergever:
The Sinc-Approximating Kernels of Classical Polynomial Interpolation. ICIP (3) 1999: 652-656 - [c3]Erik H. W. Meijering, Wiro J. Niessen, Josien P. W. Pluim, Max A. Viergever:
Quantitative Comparison of Sinc-Approximating Kernels for Medical Image Interpolation. MICCAI 1999: 210-217 - 1998
- [c2]Erik H. W. Meijering, Karel J. Zuiderveld, Max A. Viergever:
A Fast Technique for Motion Correction in DSA Using a Feature-Based, Irregular Grid. MICCAI 1998: 590-597 - [c1]J. B. Antoine Maintz, Erik H. W. Meijering, Max A. Viergever:
General multimodal elastic registration based on mutual information. Medical Imaging: Image Processing 1998
Coauthor Index
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