By Professor Erik Meijering

Conference Papers

Zhu Y; Tchetchenian A; Yin X; Liew A; Song Y; Meijering E, 2024, 'AC-UNet: Adaptive Connection UNet for White Matter Tract Segmentation Through Neural Architecture Search', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635404

Kappan MM; Sandoval EB; Meijering E; Cruz F, 2024, 'Attention-Enhanced Lightweight Hourglass Network for Human Pose Estimation', in Australasian Conference on Robotics and Automation Acra

Rahaman MM; Millar EKA; Meijering E, 2024, 'Histopathology Image Classification Using Supervised Contrastive Deep Learning', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635260

Hu Y; Meijering E; Song Y, 2024, 'Large-Kernel Attention Network with Distance Regression and Topological Self-correction for Airway Segmentation', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 115 - 126, http://dx.doi.org/10.1007/978-981-99-8388-9_10

Khan TM; Iqbal S; Naqvi SS; Razzak I; Meijering E, 2024, 'LMBF-NET: A LIGHTWEIGHT MULTIPATH BIDIRECTIONAL FOCAL ATTENTION NETWORK FOR MULTIFEATURES SEGMENTATION', in Proceedings International Conference on Image Processing Icip, pp. 2807 - 2813, http://dx.doi.org/10.1109/ICIP51287.2024.10647542

Mondol RK; Millar EKA; Sowmya A; Meijering E, 2024, 'MM-Survnet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635810

Shanmugalingam K; Sowmya A; Moses D; Meijering E, 2024, 'Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 217 - 226, http://dx.doi.org/10.1007/978-3-031-45673-2_22

Hu Y; Meijering E; Song Y, 2024, 'Refining Airway Segmentation Through Breakage Filling and Leakage Reduction Using Point Clouds', in IEEE International Conference on Intelligent Robots and Systems, pp. 11618 - 11623, http://dx.doi.org/10.1109/IROS58592.2024.10802488

Sandarenu P; Chen J; Slapetova I; Browne L; Graham PH; Swarbrick A; Millar EKA; Song Y; Meijering E, 2024, 'Semi-Supervised Variational Autoencoder for Cell Feature Extraction In Multiplexed Immunofluorescence Images', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635107

Heng Z; Pagnucco M; Meijering E; Song Y, 2024, 'Vascular Topology Rectification Network for Automated Retinal Artery/Vein Segmentation', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635229

Khan TM; Arsalan M; Iqbal S; Razzak I; Meijering E, 2023, 'Feature Enhancer Segmentation Network (FES-Net)for Vessel Segmentation', in 2023 International Conference on Digital Image Computing Techniques and Applications Dicta 2023, pp. 160 - 167, http://dx.doi.org/10.1109/DICTA60407.2023.00030

Brahmavar SB; Rajesh R; Dash T; Vig L; Verlekar TT; Hasan MM; Khan T; Meijering E; Srinivasan A, 2023, 'IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification', in Proceedings International Conference on Image Processing Icip, pp. 2400 - 2404, http://dx.doi.org/10.1109/ICIP49359.2023.10221899

Shanmugalingam K; Moses D; Sowmya A; Meijering E, 2023, 'Membranous Urethral Reconstruction and Segmentation in Multiplanar T2W MRI Images', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI53787.2023.10230618

Imani M; Thang NQD; Cawthon P; Meijering E; Duque G, 2023, 'Development of a fully automatic segmentation and quantification method for evaluating musculoskeletal tissues in the proximal hip: The Osteoporotic Fractures in Men (MrOS) Study', in JOURNAL OF BONE AND MINERAL RESEARCH, WILEY, pp. 319 - 319

Imani M; Dao TNQ; Meijering E; Vogrin S; Orwoll ES; Cawthon P; Duque G, 2023, 'EVALUATING THE DIAGNOSTIC VALUE OF AN AUTOMATIC IMAGE ANALYSES SYSTEM FOR OSTEOPOROSIS AND SARCOPENIA IN OLDER MEN: MROS STUDY', in AGING CLINICAL AND EXPERIMENTAL RESEARCH, SPRINGER, pp. S69 - S69

Khan TM; Arsalan M; Robles-Kelly A; Meijering E, 2022, 'MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation', in 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, pp. 1 - 8, presented at 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 30 November 2022 - 02 December 2022, http://dx.doi.org/10.1109/dicta56598.2022.10034573

Imani M; Dao TNQ; Meijering E; Duque G, 2022, 'DEVELOPMENT OF NOVEL FULLY AUTOMATIC SEGMENTATION AND QUANTIFICATION TECHNIQUE FOR ASSESSMENT OF MUSCULOSKELETAL ORGANS', in AGING CLINICAL AND EXPERIMENTAL RESEARCH, SPRINGER, pp. S220 - S220, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000853975600469&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Shanmugalingam K; Sowmya A; Moses D; Meijering E, 2022, 'Attention Guided Deep Supervision Model for Prostate Segmentation in Multisite Heterogeneous MRI Data', in Proceedings of Machine Learning Research, pp. 1085 - 1095

Fan L; Sowmya A; Meijering E; Song Y, 2022, 'Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 409 - 419, http://dx.doi.org/10.1007/978-3-031-16434-7_40

Zhu J; Bolsterlee B; Chow BVY; Song Y; Meijering E, 2022, 'Hybrid Attentive Unet for Segmentation of Lower Leg Muscles and Bones From MRI Scans For Musculoskeletal Research', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761501

Rana P; Sowmya A; Meijering E; Song Y, 2022, 'Imbalanced Cell-Cycle Classification Using Wgan-Div and Mixup', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761488

Hu Y; Pan Y; Song Y; Meijering E; Cui Z; Zhao Y; Ding Z; Zhu M; Shen D, 2022, 'Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761653

Rana P; Meijering E; Sowmya A; Song Y, 2021, 'Multi-label classification based on subcellular region-guided feature description for protein localisation', in Proceedings International Symposium on Biomedical Imaging, pp. 1929 - 1933, http://dx.doi.org/10.1109/ISBI48211.2021.9434145

Fan L; Sowmya A; Meijering E; Song Y, 2021, 'Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images', in Lecture Notes in Computer Science, pp. 592 - 601, http://dx.doi.org/10.1007/978-3-030-87237-3_57

Zhu Y; Meijering E, 2020, 'Neural Architecture Search for Microscopy Cell Segmentation', Lima, Peru, presented at Neural Architecture Search for Microscopy Cell Segmentation, Lima, Peru, 04 October 2020

Geurts SN; Oosterhof N; Kuil LE; Van Der Linde HC; Van Ham TJ; Meijering E, 2020, 'Automated Quantitative Analysis of Microglia in Bright-Field Images of Zebrafish', in Proceedings - International Symposium on Biomedical Imaging, pp. 522 - 525, http://dx.doi.org/10.1109/ISBI45749.2020.9098339

Smal I; Yao Y; Galjart N; Meijering E, 2019, 'Facilitating data association in particle tracking using autoencoding and score matching', in Proceedings International Symposium on Biomedical Imaging, pp. 1523 - 1526, http://dx.doi.org/10.1109/ISBI.2019.8759418

Bergwerf H; Bechakra M; Smal I; Jongen JLM; Meijering E, 2019, 'Nerve fiber segmentation in bright-field microscopy images of skin biopsies using deep learning', in Proceedings International Symposium on Biomedical Imaging, pp. 232 - 235, http://dx.doi.org/10.1109/ISBI.2019.8759504

Smal I; Galjart N; Meijering E, 2018, 'Accurate estimation of intracellular dynamics and underlying spatial structures using hierarchical trajectory smoothing', in Proceedings International Symposium on Biomedical Imaging, pp. 973 - 976, http://dx.doi.org/10.1109/ISBI.2018.8363733

Yao Y; Smal I; Meijering E, 2018, 'Deep neural networks for data association in particle tracking', in Proceedings International Symposium on Biomedical Imaging, pp. 458 - 461, http://dx.doi.org/10.1109/ISBI.2018.8363615

Castilla C; Maska M; Sorokin DV; Meijering E; Ortiz-De-Solorzano C, 2018, 'Segmentation of actin-stained 3D fluorescent cells with filopodial protrusions using convolutional neural networks', in Proceedings International Symposium on Biomedical Imaging, pp. 413 - 417, http://dx.doi.org/10.1109/ISBI.2018.8363605

Smal I; Basu S; Sayas L; Galjart N; Meijering E, 2017, 'Gaussian processes for trajectory analysis in microtubule tracking applications', in Proceedings International Symposium on Biomedical Imaging, pp. 206 - 209, http://dx.doi.org/10.1109/ISBI.2017.7950502

Radojevic M; Meijering E, 2017, 'Neuron reconstruction from fluorescence microscopy images using sequential Monte Carlo estimation', in Proceedings International Symposium on Biomedical Imaging, pp. 36 - 39, http://dx.doi.org/10.1109/ISBI.2017.7950462

Mata G; Radojevic M; Smal I; Morales M; Meijering E; Rubio J, 2016, 'Automatic detection of neurons in high-content microscope images using machine learning approaches', in Proceedings International Symposium on Biomedical Imaging, pp. 330 - 333, http://dx.doi.org/10.1109/ISBI.2016.7493276

Smal I; Meijering E, 2016, 'Poisson point processes for solving stochastic inverse problems in fluorescence microscopy', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 326 - 338, http://dx.doi.org/10.1007/978-3-319-46604-0_24

Radojevie M; Smal I; Meijering E, 2015, 'Automated neuron morphology reconstruction using fuzzy-logic detection and Bayesian tracing algorithms', in Proceedings International Symposium on Biomedical Imaging, pp. 885 - 888, http://dx.doi.org/10.1109/ISBI.2015.7164012

Radojević M; Smal I; Niessen W; Meijering E, 2014, 'Fuzzy logic based detection of neuron bifurcations in microscopy images', in 2014 IEEE 11th International Symposium on Biomedical Imaging Isbi 2014, pp. 1307 - 1310, http://dx.doi.org/10.1109/isbi.2014.6868117

Demirel O; Smal I; Niessen W; Meijering E; Sbalzarini IF, 2014, 'An adaptive distributed resampling algorithm with non-proportional allocation', in ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, pp. 1635 - 1639, http://dx.doi.org/10.1109/ICASSP.2014.6853875

Demirel O; Smal I; Niessen WJ; Meijering E; Sbalzarini IF, 2014, 'Piecewise constant sequential importance sampling for fast particle filtering', in Iet Conference Publications, http://dx.doi.org/10.1049/cp.2014.0528

Demirel O; Smal I; Niessen WJ; Meijering E; Sbalzarini IF, 2014, 'PPF - A parallel particle filtering library', in Iet Conference Publications, http://dx.doi.org/10.1049/cp.2014.0529

Plenge E; Poot DHJ; Niessen WJ; Meijering E, 2013, 'Super-resolution reconstruction using cross-scale self-similarity in multi-slice MRI', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 123 - 130, http://dx.doi.org/10.1007/978-3-642-40760-4_16

Khmelinskii A; Plenge E; Kok P; Dzyubachyk O; Poot DHJ; Suidgeest E; Botha CP; Niessen WJ; Van Der Weerd L; Meijering E; Lelieveldt BPF, 2012, 'Super-resolution reconstruction of whole-body MRI mouse data: An interactive approach', in Proceedings International Symposium on Biomedical Imaging, pp. 1723 - 1726, http://dx.doi.org/10.1109/ISBI.2012.6235912

Plenge E; Poot DHJ; Bernsen M; Kotek G; Houston G; Wielopolski P; Van Der Weerd L; Niessen WJ; Meijering E, 2012, 'Super-resolution reconstruction in MRI: Better images faster?', in Progress in Biomedical Optics and Imaging Proceedings of SPIE, http://dx.doi.org/10.1117/12.911235

Meijering E, 2012, 'RECONSTRUCTION AND QUANTIFICATION OF NEURONAL MORPHOLOGY', in 2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), IEEE, SPAIN, Barcelona, pp. 1787 - 1787, presented at 9th IEEE International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro, SPAIN, Barcelona, 02 May 2012 - 05 May 2012, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000312384100460&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Carranza N; Smal I; Dzyubachyk O; Niessen W; Meijering E, 2011, 'Automated lineage tree reconstruction from Caenorhabditis elegans image data using particle filtering based cell tracking', in Proceedings International Symposium on Biomedical Imaging, pp. 1921 - 1924, http://dx.doi.org/10.1109/ISBI.2011.5872785

Smal I; Carranza-Herrezuelo N; Klein S; Niessen W; Meijering E, 2011, 'Quantitative comparison of tracking methods for motion analysis in tagged MRI', in Proceedings International Symposium on Biomedical Imaging, pp. 345 - 348, http://dx.doi.org/10.1109/ISBI.2011.5872420

Smal I; Carranza-Herrezuelo N; Klein S; Niessen W; Meijering E, 2011, 'Trans-dimensional MCMC methods for fully automatic motion analysis in tagged MRI', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 573 - 580, http://dx.doi.org/10.1007/978-3-642-23623-5_72

Smal I; Carranza-Herrezuelo N; Klein S; Niessen W; Meijering E, 2011, 'Trans-dimensional MCMC methods for fully automatic motion analysis in tagged MRI', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 573 - 580, http://dx.doi.org/10.1007/978-3-642-23623-5_72

Niessen W; Meijering E, 2010, '2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings: Welcome', in 2010 7th IEEE International Symposium on Biomedical Imaging from Nano to Macro Isbi 2010 Proceedings, http://dx.doi.org/10.1109/ISBI.2010.5490277

Smal I; Niessen W; Meijering E, 2010, 'Particle filtering methods for motion analysis in tagged MRI', in 2010 7th IEEE International Symposium on Biomedical Imaging from Nano to Macro Isbi 2010 Proceedings, pp. 488 - 491, http://dx.doi.org/10.1109/ISBI.2010.5490302

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