1. G. Yiasemis, J. Sonke, C. Sánchez, J. Teuwen, "Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction", 2021
  2. R. Sheombarsing, N. Moriakov, J. Sonke, J. Teuwen, "Subpixel object segmentation using wavelets and multi resolution analysis", 2021
  3. Y. Schirris, M. Engelaer, A. Panteli, H. M. Horlings, E. Gavves, J. Teuwen, "WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need", 2021
  4. G. Yiasemis, C. Zhang, C. I. Sánchez, J. Sonke, J. Teuwen, "Deep MRI Reconstruction with Radial Subsampling", 2021
  5. Y. Schirris, E. Gavves, I. Nederlof, H. M. Horlings, J. Teuwen, "DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images", 2021
  6. A. Panteli, J. Teuwen, H. Horlings, E. Gavves, "Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations", 2021
  7. F. Ayatollahi, S. B. Shokouhi, R. M. Mann, J. Teuwen, "Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning", 2021
  8. S. L. Van Winkel, A. Rodríguez-Ruiz, L. Appelman, A. Gubern-Mérida, N. Karssemeijer, J. Teuwen, A. J. T. Wanders, I. Sechopoulos, R. M. Mann, "Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study", European Radiology, 2021, 31;(11):8682-8691
  9. M. Garrett Fernandes, J. Bussink, B. Stam, R. Wijsman, D. A. Schinagl, R. Monshouwer, J. Teuwen, "Deep learning model for automatic contouring of cardiovascular substructures on radiotherapy planning CT images: Dosimetric validation and reader study based clinical acceptability testing", Radiotherapy and Oncology, 2021, 165
  10. W. B. Sanderink, J. Teuwen, L. Appelman, L. Moy, L. Heacock, E. Weiland, I. Sechopoulos, R. M. Mann, "Diffusion weighted imaging for evaluation of breast lesions: Comparison between high b-value single-shot and routine readout-segmented sequences at 3 T", Magnetic Resonance Imaging, 2021, 84
  11. P. M. Johnson, G. Jeong, K. Hammernik, J. Schlemper, C. Qin, J. Duan, D. Rueckert, J. Lee, N. Pezzotti, E. De Weerdt, S. Yousefi, M. S. Elmahdy, J. H. F. Van Gemert, C. Schülke, M. Doneva, T. Nielsen, S. Kastryulin, B. P. F. Lelieveldt, M. J. P. Van Osch, M. Staring, E. Z. Chen, P. Wang, X. Chen, T. Chen, V. M. Patel, S. Sun, H. Shin, Y. Jun, T. Eo, S. Kim, T. Kim, D. Hwang, P. Putzky, D. Karkalousos, J. Teuwen, N. Moriakov, B. Bakker, M. Caan, M. Welling, M. J. Muckley, F. Knoll, "Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge", Machine Learning for Medical Image Reconstruction, 2021
  12. I. Sechopoulos, J. Teuwen, R. Mann, "Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art", Seminars in Cancer Biology, 2021, 72
  13. N. Lessmann, C. I. Sánchez, L. Beenen, L. H. Boulogne, M. Brink, E. Calli, J. Charbonnier, T. Dofferhoff, W. M. Van Everdingen, P. K. Gerke, B. Geurts, H. A. Gietema, M. Groeneveld, L. Van Harten, N. Hendrix, W. Hendrix, H. J. Huisman, I. Išgum, C. Jacobs, R. Kluge, M. Kok, J. Krdzalic, B. Lassen-Schmidt, K. Van Leeuwen, J. Meakin, M. Overkamp, T. Van Rees Vellinga, E. M. Van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E. T. Scholten, C. Sital, J. L. Stöger, J. Teuwen, K. V. Venkadesh, C. De Vente, M. Vermaat, W. Xie, B. De Wilde, M. Prokop, B. Van Ginneken, "Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence", Radiology, 2021, 298;(1):E18-E28
  14. J. Teuwen, N. Moriakov, C. Fedon, M. Caballo, I. Reiser, P. Bakic, E. García, O. Diaz, K. Michielsen, I. Sechopoulos, "Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation", Medical Image Analysis, 2021, 71
  15. W. B. Sanderink, J. Teuwen, L. Appelman, L. Moy, L. Heacock, E. Weiland, N. Karssemeijer, P. A. Baltzer, I. Sechopoulos, R. M. Mann, "Comparison of simultaneous multi-slice single-shot DWI to readout-segmented DWI for evaluation of breast lesions at 3T MRI", European Journal of Radiology, 2021, 138
  16. K. A. Wahid, S. Ahmed, R. He, L. V. Van Dijk, J. Teuwen, B. A. Mcdonald, V. Salama, A. S. Mohamed, T. Salzillo, C. Dede, N. Taku, S. Y. Lai, C. D. Fuller, M. A. Naser, "Development of a High-Performance Multiparametric MRI Oropharyngeal Primary Tumor Auto-Segmentation Deep Learning Model and Investigation of Input Channel Effects: Results from a Prospective Imaging Registry", 2021
  17. M. Caballo, A. M. Hernandez, S. H. Lyu, J. Teuwen, R. M. Mann, B. Van Ginneken, J. M. Boone, I. Sechopoulos, "Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features", Journal of Medical Imaging, 2021, 8;(02)
  18. C. Rao, S. Pai, I. Hadzic, I. Zhovannik, D. Bontempi, A. Dekker, J. Teuwen, A. Traverso, "Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge", Head and Neck Tumor Segmentation, 2021
  19. U. Gürsoy, D. Kharzeev, E. Marcus, K. Rajagopal, C. Shen, "Charge-dependent flow induced by electromagnetic fields in heavy ion collisions", Nuclear Physics A, 2021, 1005
  20. C. Couzens, E. Marcus, K. Stemerdink, D. Van De Heisteeg, "The near-horizon geometry of supersymmetric rotating AdS4 black holes in M-theory", Journal of High Energy Physics, 2021, 2021;(5)
  21. A. M. Radwan, L. Emsell, J. Blommaert, A. Zhylka, S. Kovacs, T. Theys, N. Sollmann, P. Dupont, S. Sunaert, "Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions", NeuroImage, 2021, 229
  22. A. Zhylka, N. Sollmann, F. Kofler, A. Radwan, A. De Luca, J. Gempt, B. Wiestler, B. Menze, S. M. Krieg, C. Zimmer, J. S. Kirschke, S. Sunaert, A. Leemans, J. P. W. Pluim, "Tracking the Corticospinal Tract in Patients With High-Grade Glioma: Clinical Evaluation of Multi-Level Fiber Tracking and Comparison to Conventional Deterministic Approaches", Frontiers in Oncology, 2021, 11
  23. S. Shit, J. C. Paetzold, A. Sekuboyina, I. Ezhov, A. Unger, A. Zhylka, J. P. W. Pluim, U. Bauer, B. H. Menze, "cldice - a novel topology-preserving loss function for tubular structure segmentation", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  24. J. Brunekreef, R. Loll, "Curvature profiles for quantum gravity", Physical Review D, 2021, 103;(2)
  25. J. Brunekreef, M. Reitz, "Approximate Killing symmetries in non-perturbative quantum gravity", Classical and Quantum Gravity, 2021, 38;(13):135009
  26. J. Brunekreef, R. Loll, "Quantum flatness in two-dimensional quantum gravity", Physical Review D, 2021, 104;(12)
  27. J. Brunekreef, A. Görlich, W. Van Der Feltz, "JorenB/2d-cdt: First release", 2021


  1. M. J. Muckley, B. Riemenschneider, A. Radmanesh, S. Kim, G. Jeong, J. Ko, Y. Jun, H. Shin, D. Hwang, M. Mostapha, S. Arberet, D. Nickel, Z. Ramzi, P. Ciuciu, J. Starck, J. Teuwen, D. Karkalousos, C. Zhang, A. Sriram, Z. Huang, N. Yakubova, Y. Lui, F. Knoll, "Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction", 2020
  2. Y. Beauferris, J. Teuwen, D. Karkalousos, N. Moriakov, M. Caan, G. Yiasemis, L. Rodrigues, A. Lopes, H. Pedrini, L. Rittner, M. Dannecker, V. Studenyak, F. Gröger, D. Vyas, S. Faghih-Roohi, A. K. Jethi, J. C. Raju, M. Sivaprakasam, M. Lasby, N. Nogovitsyn, W. Loos, R. Frayne, R. Souza, "Multi-Coil MRI Reconstruction Challenge – Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations", 2020
  3. K. Michielsen, N. Moriakov, J. Teuwen, I. Sechopoulos, "Deep Learning-based Initialization of Iterative Reconstruction for Breast Tomosynthesis", 2020
  4. J. Teuwen, N. Moriakov, C. Fedon, M. Caballo, I. Reiser, P. Bakic, E. García, O. Diaz, K. Michielsen, I. Sechopoulos, "Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation", 2020
  5. N. Moriakov, J. Adler, J. Teuwen, "Kernel of CycleGAN as a Principle homogeneous space", 2020
  6. I. Olaciregui-Ruiz, I. Torres-Xirau, J. Teuwen, U. A. Van Der Heide, A. Mans, "A Deep Learning-based correction to EPID dosimetry for attenuation and scatter in the Unity MR-Linac system", Physica Medica, 2020, 71
  7. J. Teuwen, N. Moriakov, "Convolutional neural networks", Handbook of Medical Image Computing and Computer Assisted Intervention, 2020
  8. T. Kootstra, J. Teuwen, J. Goudsmit, T. Nijboer, M. Dodd, S. Van Der Stigchel, "Machine learning-based classification of viewing behavior using a wide range of statistical oculomotor features", Journal of Vision, 2020, 20;(9):1
  9. J. Goudsmit, J. Teuwen, "Tussen data en theorie", Tijdschrift voor Toezicht, 2020, 11;(1):48-53
  10. C. Hull, E. Marcus, K. Stemerdink, S. Vandoren, "Black holes in string theory with duality twists", Journal of High Energy Physics, 2020, 2020;(7)
  11. L. Ning, E. Bonet-Carne, F. Grussu, F. Sepehrband, E. Kaden, J. Veraart, S. B. Blumberg, C. S. Khoo, M. Palombo, I. Kokkinos, D. C. Alexander, J. Coll-Font, B. Scherrer, S. K. Warfield, S. C. Karayumak, Y. Rathi, S. Koppers, L. Weninger, J. Ebert, D. Merhof, D. Moyer, M. Pietsch, D. Christiaens, R. A. Gomes Teixeira, J. Tournier, K. G. Schilling, Y. Huo, V. Nath, C. Hansen, J. Blaber, B. A. Landman, A. Zhylka, J. P. Pluim, G. Parker, U. Rudrapatna, J. Evans, C. Charron, D. K. Jones, C. M. Tax, "Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results", NeuroImage, 2020, 221
  12. N. Moriakov, "Computable Følner monotilings and a theorem of Brudno", Ergodic Theory and Dynamical Systems, 2020, 41;(11):3389-3416


  1. P. Putzky, D. Karkalousos, J. Teuwen, N. Moriakov, B. Bakker, M. Caan, M. Welling, "i-RIM applied to the fastMRI challenge", 2019