By Professor Erik Meijering

Conference Papers

Dzyubachyk O; Jelier R; Lehner B; Niessen W; Meijering E, 2009, 'Model-based approach for tracking embryogenesis in Caenorhabditis elegans fluorescence microscopy data', in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society Engineering the Future of Biomedicine Embc 2009, pp. 5356 - 5359, http://dx.doi.org/10.1109/IEMBS.2009.5334046

Smal I; Niessen W; Meijering E, 2008, 'A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering', in 2008 5th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings Isbi, pp. 264 - 267, http://dx.doi.org/10.1109/ISBI.2008.4540983

Dzyubachyk O; Niessen W; Meijering E, 2008, 'Advanced level-set based multiple-cell segmentation and tracking in time-lapse fluorescence microscopy images', in 2008 5th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings Isbi, pp. 185 - 188, http://dx.doi.org/10.1109/ISBI.2008.4540963

Dzyubachyk O; Niessen W; Meijering E, 2007, 'A variational model for level-set based cell tracking in time-lapse fluorescence microscopy images', in 2007 4th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings, pp. 97 - 100, http://dx.doi.org/10.1109/ISBI.2007.356797

Smal I; Niessen W; Meijering E, 2007, 'Advanced particle filtering for multiple object tracking in dynamic fluorescence microscopy images', in 2007 4th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings, pp. 1048 - 1051, http://dx.doi.org/10.1109/ISBI.2007.357035

Smal I; Draegestein K; Galjart N; Niessen W; Meijering E, 2007, 'Rao-blackwellized marginal particle filtering for multiple object tracking in molecular bioimaging', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 110 - 121, http://dx.doi.org/10.1007/978-3-540-73273-0_10

Smal I; Niessen W; Meijering E, 2006, 'Particle filtering for multiple object tracking in molecular cell biology', in Nsspw Nonlinear Statistical Signal Processing Workshop 2006, http://dx.doi.org/10.1109/NSSPW.2006.4378836

Kovačević J; Meijering E, 2006, '2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings: Welcome', in 2006 3rd IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings

Smal I; Niessen W; Meijering E, 2006, 'Bayesian tracking for fluorescence microscopic imaging', in 2006 3rd IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings, pp. 550 - 553

Meijering E; Jacob M; Sarria JCF; Steiner P; Hirling H; Unser M, 2004, 'Neurite tracing in fluorescence microscopy images using ridge filtering and graph searching: Principles and validation', in 2004 2nd IEEE International Symposium on Biomedical Imaging Macro to Nano, pp. 1219 - 1222

Gratama Van Andel HAF; Meijering E; Van Der Lugt A; Vrooman HA; Stokking R, 2004, 'VAMPIRE: Improved method for automated center lumen line definition in atherosclerotic carotid arteries in CTA data', in Lecture Notes in Computer Science, pp. 525 - 532

Meijering E; Jacob M; Sarria JCF; Unser M, 2003, 'A novel approach to neurite tracing in fluorescence microscopy images', in Proceedings of the IASTED International Conference on Signal and Image Processing, pp. 491 - 495

Meijering E; Niessen W; Weickert J; Viergever M, 2002, 'Diffusion-enhanced visualization and quantification of vascular anomalies in three-dimensional rotational angiography: Results of an in-vitro evaluation', in Medical Image Analysis, pp. 215 - 233, http://dx.doi.org/10.1016/S1361-8415(02)00081-6

Meijering E; Niessen W; Weickert J; Viergever M, 2001, 'Evaluation of diffusion techniques for improved vessel visualization and quantification in three-dimensional rotational angiography', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 177 - 185, http://dx.doi.org/10.1007/3-540-45468-3_22

Baert SAM; Niessen WJ; Meijering EHW; Frangi AF; Viergever MA, 2000, 'Guide wire tracking in interventional radiology', in Lemke HU; Vannier MW; Inamura K; Farman AG; Doi K (eds.), CARS 2000: COMPUTER ASSISTED RADIOLOGY AND SURGERY, ELSEVIER SCIENCE BV, CA, SAN FRANCISCO, pp. 537 - 542, presented at 14th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2000), CA, SAN FRANCISCO, 28 June 2000 - 01 July 2000, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000165685600090&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Meijering EHW, 2000, 'Spline interpolation in medical imaging: Comparison with other convolution-based approaches', in European Signal Processing Conference

Baert SAM; Niessen WJ; Meijering EHW; Frangi AF; Viergever MA, 2000, 'Guide wire tracking during endovascular interventions', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 727 - 734, http://dx.doi.org/10.1007/978-3-540-40899-4_75

Meijering EHW; Zuiderveld KJ; Niessen WJ; Viergever MA, 1999, 'Fast image registration technique for motion artifact reduction in DSA', in IEEE International Conference on Image Processing, pp. 435 - 439

Meijering EHW; Niessen WJ; Viergever MA, 1999, 'Piecewise polynomial kernels for image interpolation: A generalization of cubic convolution', in IEEE International Conference on Image Processing, pp. 647 - 651

Meijering EHW; Niessen WJ; Viergever MA, 1999, 'Sinc-approximating kernels of classical polynomial interpolation', in IEEE International Conference on Image Processing, pp. 652 - 656

Meijering EHW; Niessen WJ; Pluim JPW; Viergever MA, 1999, 'Quantitative comparison of sinc-approximating kernels for medical image interpolation', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 210 - 218, http://dx.doi.org/10.1007/10704282_23

Maintz JBA; Meijering EH; Viergever MA, 1998, 'General multimodal elastic registration based on mutual information', in Proceedings of SPIE the International Society for Optical Engineering, pp. 144 - 154, http://dx.doi.org/10.1117/12.310845

Meijering EHW; Zuiderveld KJ; Viergever MA, 1998, 'A fast technique for motion correction in DAS using a feature-based, irregular grid', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 590 - 597, http://dx.doi.org/10.1007/bfb0056244

Kovacevic J; Meijering E, 'Welcome', in 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., IEEE, pp. iii - iii, presented at 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., http://dx.doi.org/10.1109/isbi.2006.1624830

Conference Abstracts

Meredith T; Mohammed F; Pomeroy A; Barbieri S; Meijering E; Jorm L; Roy D; Kovacic J; Feneley M; Hayward C; Muller D; Namasivayam M, 2025, 'Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients', in Frontiers in Cardiovascular Medicine, Vol. 12, http://dx.doi.org/10.3389/fcvm.2025.1444658

Working Papers

Rana P; Sowmya A; Meijering E; Song Y, 2020, Estimation of Three-Dimensional Chromatin Morphology for Nuclear Classification and Characterisation, http://dx.doi.org10.1101/2020.07.29.226498

Preprints

Weate F; Li Y; Novotny D; Meijering E; Baum J, 2025, PlasmoCount 2.0: Rapid Multi-Species Malaria Parasite Detection Using Deep Learning, http://dx.doi.org/10.1101/2025.05.05.25326942

Liyanarachchi R; Joshi A; Meijering E, 2025, A Survey on Multimodal Music Emotion Recognition, http://arxiv.org/abs/2504.18799v1

Rahaman MM; Millar EKA; Meijering E, 2025, Leveraging Vision-Language Embeddings for Zero-Shot Learning in Histopathology Images, http://arxiv.org/abs/2503.10731v1

Mondol RK; Millar EKA; Graham PH; Browne L; Sowmya A; Meijering E, 2025, GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology, http://arxiv.org/abs/2501.04206v2

Gunawan I; Dey M; Neumann D; Kohane F; He Y; Meijering E; Lock J, 2025, Generative semantic multiplexing (SemaPlex) for accessible and scalable multiplexed fluorescence imaging, http://dx.doi.org/10.1101/2025.09.15.676186

Gunawan I; Marsh R; Aggarwal N; Meijering E; Cox S; Lock J; Culley S, 2025, Image quality metrics fail to accurately represent biological information in fluorescence microscopy, http://dx.doi.org/10.1101/2025.08.05.668508

Kappan MM; Sandoval EB; Meijering E; Cruz F, 2024, Attention-Enhanced Lightweight Hourglass Network for Human Pose Estimation, http://arxiv.org/abs/2412.06227v2

Khan TM; Lin D; Iqbal S; Meijering E, 2024, TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation, http://arxiv.org/abs/2411.17556v1

Iqbal S; Khan TM; Naqvi SS; Naveed A; Meijering E, 2024, TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation, http://arxiv.org/abs/2409.03367v1

Yao Y; Smal I; Grigoriev I; Akhmanova A; Meijering E, 2024, Deep Joint Denoising and Detection for Enhanced Intracellular Particle Analysis, http://arxiv.org/abs/2408.07903v1

Tchetchenian A; Zekelman L; Chen Y; Rushmore J; Zhang F; Yeterian EH; Makris N; Rathi Y; Meijering E; Song Y; O'Donnell LJ, 2024, Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning, http://arxiv.org/abs/2407.15132v1

Khan TM; Iqbal S; Naqvi SS; Razzak I; Meijering E, 2024, LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation, http://arxiv.org/abs/2407.02871v1

Imani M; Borda MG; Vogrin S; Meijering E; Aarsland D; Duque G, 2024, Using deep learning to perform automatic quantitative measurement of masseter and tongue muscles in persons with dementia (Preprint), http://dx.doi.org/10.2196/preprints.63686

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, http://arxiv.org/abs/2406.15727v2

Reinke A; Tizabi MD; Baumgartner M; Eisenmann M; Heckmann-Nötzel D; Kavur AE; Rädsch T; Sudre CH; Acion L; Antonelli M; Arbel T; Bakas S; Benis A; Blaschko M; Buettner F; Cardoso MJ; Cheplygina V; Chen J; Christodoulou E; Cimini BA; Collins GS; Farahani K; Ferrer L; Galdran A; van Ginneken B; Glocker B; Godau P; Haase R; Hashimoto DA; Hoffman MM; Huisman M; Isensee F; Jannin P; Kahn CE; Kainmueller D; Kainz B; Karargyris A; Karthikesalingam A; Kenngott H; Kleesiek J; Kofler F; Kooi T; Kopp-Schneider A; Kozubek M; Kreshuk A; Kurc T; Landman BA; Litjens G; Madani A; Maier-Hein K; Martel AL; Mattson P; Meijering E; Menze B; Moons KGM; Müller H; Nichyporuk B; Nickel F; Petersen J; Rafelski SM; Rajpoot N; Reyes M; Riegler MA; Rieke N; Saez-Rodriguez J; Sánchez CI; Shetty S; van Smeden M; Summers RM; Taha AA; Tiulpin A; Tsaftaris SA; Calster BV; Varoquaux G; Wiesenfarth M; Yaniv ZR; Jäger PF; Maier-Hein L, 2024, Understanding metric-related pitfalls in image analysis validation., https://www.ncbi.nlm.nih.gov/pubmed/36945687

Mondol RK; Millar EKA; Sowmya A; Meijering E, 2024, MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion, http://arxiv.org/abs/2402.11788v1

Mondol RK; Millar EKA; Sowmya A; Meijering E, 2024, BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion, http://dx.doi.org/10.1109/JBHI.2024.3418341

Khan TM; Naqvi SS; Meijering E, 2023, ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation, http://arxiv.org/abs/2312.10585v1

Khan TM; Arsalan M; Iqbal S; Razzak I; Meijering E, 2023, Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation, http://arxiv.org/abs/2309.03535v1

Lekadir K; Feragen A; Fofanah AJ; Frangi AF; Buyx A; Emelie A; Lara A; Porras AR; Chan A-W; Navarro A; Glocker B; Botwe BO; Khanal B; Beger B; Wu CC; Cintas C; Langlotz CP; Rueckert D; Mzurikwao D; Fotiadis DI; Zhussupov D; Ferrante E; Meijering E; Weicken E; González FA; Asselbergs FW; Prior F; Krestin GP; Collins G; Tegenaw GS; Kaissis G; Misuraca G; Tsakou G; Dwivedi G; Kondylakis H; Jayakody H; Woodruf HC; Mayer HJ; Aerts HJWL; Walsh I; Chouvarda I; Buvat I; Tributsch I; Rekik I; Duncan J; Kalpathy-Cramer J; Zahir J; Park J; Mongan J; Gichoya JW; Schnabel JA; Kushibar K; Riklund K; Mori K; Marias K; Amugongo LM; Fromont LA; Maier-Hein L; Alberich LC; Rittner L; Phiri L; Marrakchi-Kacem L; Donoso-Bach L; Martí-Bonmatí L; Cardoso MJ; Bobowicz M; Shabani M; Tsiknakis M; Zuluaga MA; Bielikova M; Fritzsche M-C; Camacho M; Linguraru MG; Wenzel M; Bruijne MD; Tolsgaard MG; Ghassemi M; Ashrafuzzaman M; Goisauf M; Yaqub M; Abadía MC; Mahmoud MME; Elattar M; Rieke N; Papanikolaou N; Lazrak N; Díaz O; Salvado O; Pujol O; Sall O; Guevara P; Gordebeke P; Lambin P; Brown P; Abolmaesumi P; Dou Q; Lu Q; Osuala R; Nakasi R; Zhou SK; Napel S; Colantonio S; Albarqouni S; Joshi S; Carter S; Klein S; Petersen SE; Aussó S; Awate S; Raviv TR; Cook T; Mutsvangwa TEM; Rogers WA; Niessen WJ; Puig-Bosch X; Zeng Y; Mohammed YG; Aquino YSJ; Salahuddin Z; Starmans MPA, 2023, FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare, http://arxiv.org/abs/2309.12325v3

Rahaman MM; Millar EKA; Meijering E, 2023, Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning, http://dx.doi.org/10.21203/rs.3.rs-2983276/v1

Mondol RK; Millar EKA; Graham PH; Browne L; Sowmya A; Meijering E, 2023, hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images, http://dx.doi.org/10.3390/cancers15092569

Rahaman MM; Millar EKA; Meijering E, 2023, Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning, http://dx.doi.org/10.1038/s41598-023-40219-0

Zhu J; Bolsterlee B; Chow BVY; Song Y; Meijering E, 2023, Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI Scans, http://arxiv.org/abs/2303.05126v1

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