Publications

2022

  1. Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors
    Medical Imaging 2022: Image Processing
    S. D. Verboom, M. Caballo, M. J. M. Broeders, J. Teuwen, I. Sechopoulos, 2022
    doi
    Abstract
  2. Tumor tracking in 4D CT images for adaptive radiotherapy
    Medical Imaging 2022: Image Processing
    P. S. Kronemeijer, E. Gavves, J. Sonke, J. Teuwen, 2022
    doi
    Abstract
  3. Mammary duct detection using self-supervised encoders
    Medical Imaging 2022: Computer-Aided Diagnosis
    S. Doyle, F. Dal Canton, J. Wesseling, C. I. Sánchez, J. Teuwen, 2022
    doi
    Abstract
  4. Breast imaging and deep learning: past, present, and future
    Advances in Magnetic Resonance Technology and Applications
    S. Eskreis-Winkler, J. Teuwen, S. Benson, 2022
    doi
    Abstract
  5. Recurrent variational network: A deep learning inverse problem solver applied to the task of accelerated mri reconstruction
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    G. Yiasemis, J. Sonke, C. Sánchez, J. Teuwen, 2022
    url preprints
    Abstract
  6. Federated learning enables big data for rare cancer boundary detection.
    Nature communications
    S. Pati, U. Baid, B. Edwards, M. Sheller, S. Wang, G. A. Reina, P. Foley, A. Gruzdev, D. Karkada, C. Davatzikos, C. Sako, S. Ghodasara, M. Bilello, S. Mohan, P. Vollmuth, G. Brugnara, C. J. Preetha, F. Sahm, K. Maier-Hein, M. Zenk, M. Bendszus, W. Wick, E. Calabrese, J. Rudie, J. Villanueva-Meyer, S. Cha, M. Ingalhalikar, M. Jadhav, U. Pandey, J. Saini, J. Garrett, M. Larson, R. Jeraj, S. Currie, R. Frood, K. Fatania, R. Y. Huang, K. Chang, C. Balaña, J. Capellades, J. Puig, J. Trenkler, J. Pichler, G. Necker, A. Haunschmidt, S. Meckel, G. Shukla, S. Liem, G. S. Alexander, J. Lombardo, J. D. Palmer, A. E. Flanders, A. P. Dicker, H. I. Sair, C. K. Jones, A. Venkataraman, M. Jiang, T. Y. So, C. Chen, P. A. Heng, Q. Dou, M. Kozubek, F. Lux, J. Michálek, P. Matula, M. Keřkovský, T. Kopřivová, M. Dostál, V. Vybíhal, M. A. Vogelbaum, J. R. Mitchell, J. Farinhas, J. A. Maldjian, C. G. B. Yogananda, M. C. Pinho, D. Reddy, J. Holcomb, B. C. Wagner, B. M. Ellingson, T. F. Cloughesy, C. Raymond, T. Oughourlian, A. Hagiwara, C. Wang, M. To, S. Bhardwaj, C. Chong, M. Agzarian, A. X. Falcão, S. B. Martins, B. C. A. Teixeira, F. Sprenger, D. Menotti, D. R. Lucio, P. Lamontagne, D. Marcus, B. Wiestler, F. Kofler, I. Ezhov, M. Metz, R. Jain, M. Lee, Y. W. Lui, R. Mckinley, J. Slotboom, P. Radojewski, R. Meier, R. Wiest, D. Murcia, E. Fu, R. Haas, J. Thompson, D. R. Ormond, C. Badve, A. E. Sloan, V. Vadmal, K. Waite, R. R. Colen, L. Pei, M. Ak, A. Srinivasan, J. R. Bapuraj, A. Rao, N. Wang, O. Yoshiaki, T. Moritani, S. Turk, J. Lee, S. Prabhudesai, F. Morón, J. Mandel, K. Kamnitsas, B. Glocker, L. V. M. Dixon, M. Williams, P. Zampakis, V. Panagiotopoulos, P. Tsiganos, S. Alexiou, I. Haliassos, E. I. Zacharaki, K. Moustakas, C. Kalogeropoulou, D. M. Kardamakis, Y. S. Choi, S. Lee, J. H. Chang, S. S. Ahn, B. Luo, L. Poisson, N. Wen, P. Tiwari, R. Verma, R. Bareja, I. Yadav, J. Chen, N. Kumar, M. Smits, S. R. Van Der Voort, A. Alafandi, F. Incekara, M. M. J. Wijnenga, G. Kapsas, R. Gahrmann, J. W. Schouten, H. J. Dubbink, A. J. P. E. Vincent, M. J. Van Den Bent, P. J. French, S. Klein, Y. Yuan, S. Sharma, T. Tseng, S. Adabi, S. P. Niclou, O. Keunen, A. Hau, M. Vallières, D. Fortin, M. Lepage, B. Landman, K. Ramadass, K. Xu, S. Chotai, L. B. Chambless, A. Mistry, R. C. Thompson, Y. Gusev, K. Bhuvaneshwar, A. Sayah, C. Bencheqroun, A. Belouali, S. Madhavan, T. C. Booth, A. Chelliah, M. Modat, H. Shuaib, C. Dragos, A. Abayazeed, K. Kolodziej, M. Hill, A. Abbassy, S. Gamal, M. Mekhaimar, M. Qayati, M. Reyes, J. E. Park, J. Yun, H. S. Kim, A. Mahajan, M. Muzi, S. Benson, R. G. H. Beets-Tan, J. Teuwen, A. Herrera-Trujillo, M. Trujillo, W. Escobar, A. Abello, J. Bernal, J. Gómez, J. Choi, S. Baek, Y. Kim, H. Ismael, B. Allen, J. M. Buatti, A. Kotrotsou, H. Li, T. Weiss, M. Weller, A. Bink, B. Pouymayou, H. F. Shaykh, J. Saltz, P. Prasanna, S. Shrestha, K. M. Mani, D. Payne, T. Kurc, E. Pelaez, H. Franco-Maldonado, F. Loayza, S. Quevedo, P. Guevara, E. Torche, C. Mendoza, F. Vera, E. Ríos, E. López, S. A. Velastin, G. Ogbole, M. Soneye, D. Oyekunle, O. Odafe-Oyibotha, B. Osobu, M. Shu'Aibu, A. Dorcas, F. Dako, A. L. Simpson, M. Hamghalam, J. J. Peoples, R. Hu, A. Tran, D. Cutler, F. Y. Moraes, M. A. Boss, J. Gimpel, D. K. Veettil, K. Schmidt, B. Bialecki, S. Marella, C. Price, L. Cimino, C. Apgar, P. Shah, B. Menze, J. S. Barnholtz-Sloan, J. Martin, S. Bakas, 2022, 13;(1):7346
    url
    Abstract
  7. WeakSTIL: weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need
    Medical Imaging 2022: Digital and Computational Pathology
    Y. Schirris, M. Engelaer, A. Panteli, H. M. Horlings, E. Gavves, J. Teuwen, 2022
    doi preprints
    Abstract
  8. Prediction of histological grade and molecular subtypes of invasive breast cancer using mammographic growth rate in screening
    European Journal of Cancer
    J. Peters, N. Moriakov, J. Van Dijck, S. Elias, E. Lips, J. Wesseling, R. Mann, J. Teuwen, M. Caballo, M. Broeders, 2022, 175
    doi
    Abstract
  9. Auto-Segmentation of Oropharyngeal Cancer Primary Tumors Using Multiparametric MRI-Based Deep Learning
    International Journal of Radiation Oncology*Biology*Physics
    K. Wahid, S. Ahmed, R. He, L. Van Dijk, J. Teuwen, B. Mcdonald, V. Salama, A. Mohamed, T. Salzillo, C. Dede, N. Taku, S. Lai, C. Fuller, M. Naser, 2022, 112;(5):e31
    doi
    Abstract
  10. One-matrix differential reformulation of two-matrix models
    Reviews in Mathematical Physics
    J. Brunekreef, L. Lionni, J. Thürigen, 2022, 34;(08)
    doi
    Abstract
  11. The phase structure and effective action of 3D CDT at higher spatial genus
    Journal of High Energy Physics
    J. Brunekreef, D. Németh, 2022, 2022;(9)
    doi
    Abstract
  12. JorenB/3d-cdt: First release
    J. Brunekreef, D. Németh, A. Görlich, 2022
    doi
    Abstract
  13. Anatomically informed multi-level fiber tractography for targeted virtual dissection
    Magnetic Resonance Materials in Physics, Biology and Medicine
    A. Zhylka, A. Leemans, J. P. W. Pluim, A. De Luca, 2022, 36;(1):79-93
    doi
    Abstract
  14. Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI
    NeuroImage
    C. Maffei, G. Girard, K. G. Schilling, D. B. Aydogan, N. Adluru, A. Zhylka, Y. Wu, M. Mancini, A. Hamamci, A. Sarica, A. Teillac, S. H. Baete, D. Karimi, F. Yeh, M. E. Yildiz, A. Gholipour, Y. Bihan-Poudec, B. Hiba, A. Quattrone, A. Quattrone, T. Boshkovski, N. Stikov, P. Yap, A. De Luca, J. Pluim, A. Leemans, V. Prabhakaran, B. B. Bendlin, A. L. Alexander, B. A. Landman, E. J. Canales-Rodríguez, M. Barakovic, J. Rafael-Patino, T. Yu, G. Rensonnet, S. Schiavi, A. Daducci, M. Pizzolato, E. Fischi-Gomez, J. Thiran, G. Dai, G. Grisot, N. Lazovski, S. Puch, M. Ramos, P. Rodrigues, V. Prčkovska, R. Jones, J. Lehman, S. N. Haber, A. Yendiki, 2022, 257
    doi
    Abstract
  15. HRD-related morphology discovery in breast cancer by controlling for confounding factors
    Cell Reports Medicine
    Y. Schirris, H. M. Horlings, 2022, 3;(12):100873
    doi
    Abstract

2021

  1. Charge-dependent flow induced by electromagnetic fields in heavy ion collisions
    Nuclear Physics A
    U. Gürsoy, D. Kharzeev, E. Marcus, K. Rajagopal, C. Shen, 2021, 1005
    doi
    Abstract
  2. The near-horizon geometry of supersymmetric rotating AdS4 black holes in M-theory
    Journal of High Energy Physics
    C. Couzens, E. Marcus, K. Stemerdink, D. Van De Heisteeg, 2021, 2021;(5)
    doi
    Abstract
  3. Subpixel object segmentation using wavelets and multi resolution analysis
    R. Sheombarsing, N. Moriakov, J. Sonke, J. Teuwen, 2021
    ArXiv
    Abstract
  4. Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study
    European Radiology
    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, 2021, 31;(11):8682-8691
    doi
    Abstract
  5. 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
    M. Garrett Fernandes, J. Bussink, B. Stam, R. Wijsman, D. A. Schinagl, R. Monshouwer, J. Teuwen, 2021, 165
    doi
    Abstract
  6. 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
    W. B. Sanderink, J. Teuwen, L. Appelman, L. Moy, L. Heacock, E. Weiland, I. Sechopoulos, R. M. Mann, 2021, 84
    doi
    Abstract
  7. 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
    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, 2021
    doi
    Abstract
  8. Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art
    Seminars in Cancer Biology
    I. Sechopoulos, J. Teuwen, R. Mann, 2021, 72
    doi
    Abstract
  9. 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
    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, 2021, 298;(1):E18-E28
    doi
    Abstract
  10. Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
    Medical Image Analysis
    J. Teuwen, N. Moriakov, C. Fedon, M. Caballo, I. Reiser, P. Bakic, E. García, O. Diaz, K. Michielsen, I. Sechopoulos, 2021, 71
    doi preprints
    Abstract
  11. Comparison of simultaneous multi-slice single-shot DWI to readout-segmented DWI for evaluation of breast lesions at 3T MRI
    European Journal of Radiology
    W. B. Sanderink, J. Teuwen, L. Appelman, L. Moy, L. Heacock, E. Weiland, N. Karssemeijer, P. A. Baltzer, I. Sechopoulos, R. M. Mann, 2021, 138
    doi
    Abstract
  12. Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features
    Journal of Medical Imaging
    M. Caballo, A. M. Hernandez, S. H. Lyu, J. Teuwen, R. M. Mann, B. Van Ginneken, J. M. Boone, I. Sechopoulos, 2021, 8;(02)
    doi
    Abstract
  13. Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge
    Head and Neck Tumor Segmentation
    C. Rao, S. Pai, I. Hadzic, I. Zhovannik, D. Bontempi, A. Dekker, J. Teuwen, A. Traverso, 2021
    doi
    Abstract
  14. Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction
    IEEE Transactions on Medical Imaging
    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. W. Lui, F. Knoll, 2021, 40;(9):2306-2317
    doi preprints
    Abstract
  15. Automatic breast lesion detection in ultrafast DCE‐MRI using deep learning
    Medical Physics
    F. Ayatollahi, S. B. Shokouhi, R. M. Mann, J. Teuwen, 2021, 48;(10):5897-5907
    doi preprints
    Abstract
  16. Sparse-shot learning with exclusive cross-entropy for extremely many localisations
    Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
    A. Panteli, J. Teuwen, H. Horlings, E. Gavves, 2021
    url preprints
    Abstract
  17. Curvature profiles for quantum gravity
    Physical Review D
    J. Brunekreef, R. Loll, 2021, 103;(2)
    doi
    Abstract
  18. Quantum flatness in two-dimensional quantum gravity
    Physical Review D
    J. Brunekreef, R. Loll, 2021, 104;(12)
    doi
    Abstract
  19. JorenB/2d-cdt: First release
    J. Brunekreef, A. Görlich, W. Van Der Feltz, 2021
    doi
    Abstract
  20. Approximate Killing symmetries in non-perturbative quantum gravity
    Classical and Quantum Gravity
    J. Brunekreef, M. Reitz, 2021, 38;(13):135009
    doi
    Abstract
  21. Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions
    NeuroImage
    A. M. Radwan, L. Emsell, J. Blommaert, A. Zhylka, S. Kovacs, T. Theys, N. Sollmann, P. Dupont, S. Sunaert, 2021, 229
    doi
    Abstract
  22. 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
    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, 2021, 11
    doi
    Abstract
  23. cldice - a novel topology-preserving loss function for tubular structure segmentation
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    S. Shit, J. C. Paetzold, A. Sekuboyina, I. Ezhov, A. Unger, A. Zhylka, J. P. W. Pluim, U. Bauer, B. H. Menze, 2021
    url
    Abstract
  24. Reproducibility report: Towards visually explaining variational autoencoders
    ML Reproducibility Challenge 2020
    F. Brongers, B. Leijnse, L. Eshuijs, V. van Veldhuizen, 2021
    url
    Abstract

2020

  1. Black holes in string theory with duality twists
    Journal of High Energy Physics
    C. Hull, E. Marcus, K. Stemerdink, S. Vandoren, 2020, 2020;(7)
    doi
    Abstract
  2. Deep Learning-based Initialization of Iterative Reconstruction for Breast Tomosynthesis
    6th International Conference on Image Formation in X-Ray Computed Tomography (CT-meeting)
    K. Michielsen, N. Moriakov, J. Teuwen, I. Sechopoulos, 2020
    ArXiv
    Abstract
  3. A Deep Learning-based correction to EPID dosimetry for attenuation and scatter in the Unity MR-Linac system
    Physica Medica
    I. Olaciregui-Ruiz, I. Torres-Xirau, J. Teuwen, U. A. Van Der Heide, A. Mans, 2020, 71
    doi
    Abstract
  4. Convolutional neural networks
    Handbook of Medical Image Computing and Computer Assisted Intervention
    J. Teuwen, N. Moriakov, 2020
    doi
    Abstract
  5. Machine learning-based classification of viewing behavior using a wide range of statistical oculomotor features
    Journal of Vision
    T. Kootstra, J. Teuwen, J. Goudsmit, T. Nijboer, M. Dodd, S. Van Der Stigchel, 2020, 20;(9):1
    doi
    Abstract
  6. Tussen data en theorie
    Tijdschrift voor Toezicht
    J. Goudsmit, J. Teuwen, 2020, 11;(1):48-53
    doi
    Abstract
  7. Kernel of cyclegan as a principal homogeneous space
    International Conference on Learning Representations
    N. Moriakov, J. Adler, J. Teuwen, 2020
    url preprints
    Abstract
  8. Computable Følner monotilings and a theorem of Brudno
    Ergodic Theory and Dynamical Systems
    N. Moriakov, 2020, 41;(11):3389-3416
    doi
    Abstract
  9. Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results
    NeuroImage
    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, 2020, 221
    doi
    Abstract

2019

  1. A new class of SYK-like models with maximal chaos
    Journal of High Energy Physics
    E. Marcus, S. Vandoren, 2019, 2019;(1)
    doi
    Abstract
  2. i-RIM applied to the fastMRI challenge
    P. Putzky, D. Karkalousos, J. Teuwen, N. Moriakov, B. Bakker, M. Caan, M. Welling, 2019
    ArXiv
    Abstract