By Professor Erik Meijering

Conference Papers

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

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

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

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, http://dx.doi.org/10.1109/ICIP49359.2023.10221899

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; Ginneken BV; 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; Smeden MV; Summers RM; Taha AA; Tiulpin A; Tsaftaris SA; Calster BV; Varoquaux G; Wiesenfarth M; Yaniv ZR; Jäger PF; Maier-Hein L, 2023, Understanding metric-related pitfalls in image analysis validation, http://dx.doi.org/10.1038/s41592-023-02150-0

Fetanat M; Stevens M; Jain P; Hayward C; Meijering E; Lovell NH, 2023, Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure, http://dx.doi.org/10.1109/TBME.2021.3129459

Aviyente S; Frangi A; Meijering E; Muñoz-Barrutia A; Liebling M; Ville DVD; Olivo-Marin J-C; Kovačević J; Unser M, 2022, From Nano to Macro: Overview of the IEEE Bio Image and Signal Processing Technical Committee, http://dx.doi.org/10.1109/MSP.2023.3242833

Khan TM; Arsalan M; Robles-Kelly A; Meijering E, 2022, MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation, http://arxiv.org/abs/2210.08168v1

Khan TM; Naqvi SS; Robles-Kelly A; Meijering E, 2022, Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction, http://arxiv.org/abs/2210.07451v1

Rana P; Sowmya A; Meijering E; Song Y, 2022, Imbalanced classification for protein subcellular localisation with multilabel oversampling, http://dx.doi.org/10.1101/2022.09.12.507675

Rana P; Sowmya A; Meijering E; Song Y, 2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.1101/2022.08.30.505762

Khan TM; Naqvi SS; Meijering E, 2022, Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation, http://dx.doi.org/10.21203/rs.3.rs-1833303/v1

Maier-Hein L; Reinke A; Godau P; Tizabi MD; Buettner F; Christodoulou E; Glocker B; Isensee F; Kleesiek J; Kozubek M; Reyes M; Riegler MA; Wiesenfarth M; Kavur AE; Sudre CH; Baumgartner M; Eisenmann M; Heckmann-Nötzel D; Rädsch T; Acion L; Antonelli M; Arbel T; Bakas S; Benis A; Blaschko M; Cardoso MJ; Cheplygina V; Cimini BA; Collins GS; Farahani K; Ferrer L; Galdran A; Ginneken BV; Haase R; Hashimoto DA; Hoffman MM; Huisman M; Jannin P; Kahn CE; Kainmueller D; Kainz B; Karargyris A; Karthikesalingam A; Kenngott H; Kofler F; Kopp-Schneider A; 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; Rajpoot N; Rieke N; Saez-Rodriguez J; Sánchez CI; Shetty S; Smeden MV; Summers RM; Taha AA; Tiulpin A; Tsaftaris SA; Calster BV; Varoquaux G; Jäger PF, 2022, Metrics reloaded: Recommendations for image analysis validation, http://dx.doi.org/10.1038/s41592-023-02151-z

Rana P; Sowmya A; Meijering E; Song Y, 2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.21203/rs.3.rs-1645828/v1

Manubens-Gil L; Zhou Z; Chen H; Ramanathan A; Liu X; Liu Y; Bria A; Gillette T; Ruan Z; Yang J; Radojević M; Zhao T; Cheng L; Qu L; Liu S; Bouchard KE; Gu L; Cai W; Ji S; Roysam B; Wang C-W; Yu H; Sironi A; Iascone DM; Zhou J; Bas E; Conde-Sousa E; Aguiar P; Li X; Li Y; Nanda S; Wang Y; Muresan L; Fua P; Ye B; He H-Y; Staiger JF; Peter M; Cox DN; Simonneau M; Oberlaender M; Jefferis G; Ito K; Gonzalez-Bellido P; Kim J; Rubel E; Cline HT; Zeng H; Nern A; Chiang A-S; Yao J; Roskams J; Livesey R; Stevens J; Liu T; Dang C; Guo Y; Zhong N; Tourassi G; Hill S; Hawrylycz M; Koch C; Meijering E; Ascoli GA; Peng H, 2022, BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology, http://dx.doi.org/10.1101/2022.05.10.491406

Reinke A; Tizabi MD; Sudre CH; Eisenmann M; Rädsch T; Baumgartner M; Acion L; Antonelli M; Arbel T; Bakas S; Bankhead P; Benis A; Blaschko M; Buettner F; Cardoso MJ; Chen J; Cheplygina V; Christodoulou E; Cimini B; Collins GS; Engelhardt S; Farahani K; Ferrer L; Galdran A; Ginneken BV; Glocker B; Godau P; Haase R; Hamprecht F; Hashimoto DA; Heckmann-Nötzel D; Hirsch P; Hoffman MM; Huisman M; Isensee F; Jannin P; Kahn CE; Kainmueller D; Kainz B; Karargyris A; Karthikesalingam A; Kavur AE; Kenngott H; Kleesiek J; Kleppe A; Kohler S; Kofler F; Kopp-Schneider A; Kooi T; Kozubek M; Kreshuk A; Kurc T; Landman BA; Litjens G; Madani A; Maier-Hein K; Martel AL; Mattson P; Meijering E; Menze B; Moher D; Moons KGM; Müller H; Nichyporuk B; Nickel F; Noyan MA; Petersen J; Polat G; Rafelski SM; Rajpoot N; Reyes M; Rieke N; Riegler M; Rivaz H; Saez-Rodriguez J; Sánchez CI; Schroeter J; Saha A; Selver MA; Sharan L; Shetty S; Smeden MV; Stieltjes B; Summers RM; Taha AA; Tiulpin A; Tsaftaris SA; Calster BV; Varoquaux G; Wiesenfarth M; Yaniv ZR; Jäger P; Maier-Hein L, 2021, Common Limitations of Image Processing Metrics: A Picture Story, http://arxiv.org/abs/2104.05642v8

Serra-Marques A; Martin M; Katrukha EA; Grigoriev I; Peeters CAE; Liu Q; Hooikaas PJ; Yao Y; Solianova V; Smal I; Pedersen LB; Meijering E; Kapitein LC; Akhmanova A, 2020, Concerted action of kinesins KIF5B and KIF13B promotes efficient secretory vesicle transport to microtubule plus ends, http://dx.doi.org/10.1101/2020.04.06.027862

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