Publications

2021

  1. 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 paper (open access)
    Abstract
  2. 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 paper (open access)
    Abstract
  3. 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 paper (open access)
    Abstract
  4. 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 paper (open access)
    Abstract
  5. 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 paper (open access)
    Abstract
  6. 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
  7. 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
  8. Curvature profiles for quantum gravity
    Physical Review D
    J. Brunekreef, R. Loll, 2021, 103;(2)
    doi
    Abstract
  9. Quantum flatness in two-dimensional quantum gravity
    Physical Review D
    J. Brunekreef, R. Loll, 2021, 104;(12)
    doi paper (open access)
    Abstract
  10. JorenB/2d-cdt: First release
    J. Brunekreef, A. Görlich, W. Van Der Feltz, 2021
    doi
    Abstract
  11. Approximate Killing symmetries in non-perturbative quantum gravity
    Classical and Quantum Gravity
    J. Brunekreef, M. Reitz, 2021, 38;(13):135009
    doi paper (open access)
    Abstract
  12. 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 paper (open access)
    Abstract
  13. 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 paper (open access)
    Abstract
  14. 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
  15. Reproducibility report: Towards visually explaining variational autoencoders
    ML Reproducibility Challenge 2020
    F. Brongers, B. Leijnse, L. Eshuijs, V. van Veldhuizen, 2021
    url
    Abstract
  16. Creating small but meaningful representations of digital pathology images
    Proceedings of the MICCAI Workshop on Computational Pathology
    C. Guérendel, P. Arnold, B. Torben-Nielsen, 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 paper (open access)
    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. Convolutional neural networks
    Handbook of Medical Image Computing and Computer Assisted Intervention
    J. Teuwen, N. Moriakov, 2020
    doi
    Abstract
  4. 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 paper (open access)
    Abstract
  5. Tussen data en theorie
    Tijdschrift voor Toezicht
    J. Goudsmit, J. Teuwen, 2020, 11;(1):48-53
    doi
    Abstract
  6. Kernel of cyclegan as a principal homogeneous space
    International Conference on Learning Representations
    N. Moriakov, J. Adler, J. Teuwen, 2020
    url preprints
    Abstract
  7. 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
    PubMed
    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 paper (open access)
    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 paper (open access)
    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
  3. Learned SIRT for Cone Beam Computed Tomography Reconstruction
    R. J. Dilz, L. Schröder, N. Moriakov, J. Sonke, J. Teuwen, 2019
    ArXiv
    Abstract
  4. Artificial Intelligence–Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI
    Investigative Radiology
    M. U. Dalmiş, A. Gubern-Mérida, S. Vreemann, P. Bult, N. Karssemeijer, R. Mann, J. Teuwen, 2019, 54;(6):325-332
    doi
    Abstract
  5. State-of-the-Art Deep Learning in Cardiovascular Image Analysis
    JACC: Cardiovascular Imaging
    G. Litjens, F. Ciompi, J. M. Wolterink, B. D. De Vos, T. Leiner, J. Teuwen, I. Išgum, 2019, 12;(8):1549-1565
    doi paper (open access)
    Abstract
  6. Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
    European Radiology
    A. Rodriguez-Ruiz, K. Lång, A. Gubern-Merida, J. Teuwen, M. Broeders, G. Gennaro, P. Clauser, T. H. Helbich, M. Chevalier, T. Mertelmeier, M. G. Wallis, I. Andersson, S. Zackrisson, I. Sechopoulos, R. M. Mann, 2019, 29;(9):4825-4832
    doi paper (open access)
    Abstract
  7. MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks
    Journal of Open Source Software
    S. C. Van De Leemput, J. Teuwen, B. Van Ginneken, R. Manniesing, 2019, 4;(39):1576
    doi paper (open access)
    Abstract
  8. Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images
    Medical Imaging 2019: Computer-Aided Diagnosis
    M. Caballo, J. Teuwen, R. Mann, I. Sechopoulos, 2019
    doi
    Abstract
  9. Differentiating benign and malignant mass and non-mass lesions in breast DCE-MRI using normalized frequency-based features
    International Journal of Computer Assisted Radiology and Surgery
    F. Ayatollahi, S. B. Shokouhi, J. Teuwen, 2019, 15;(2):297-307
    doi
    Abstract
  10. Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation
    Medical Imaging 2019: Computer-Aided Diagnosis
    J. Teuwen, N. Moriakov, R. Mann, E. Marchiori, J. Van Vugt, A. Gubern-Mérida, 2019
    doi preprints paper (open access)
    Abstract
  11. Deep learning framework for digital breast tomosynthesis reconstruction
    Medical Imaging 2019: Physics of Medical Imaging
    N. Moriakov, K. Michielsen, J. Adler, R. Mann, I. Sechopoulos, J. Teuwen, 2019
    doi preprints
    Abstract

2018

  1. Charge-dependent flow induced by magnetic and electric fields in heavy ion collisions
    Physical Review C
    U. Gürsoy, D. Kharzeev, E. Marcus, K. Rajagopal, C. Shen, 2018, 98;(5)
    doi paper (open access)
    Abstract
  2. On Maximum Focused Electric Energy in Bounded Regions
    J. Teuwen, P. Urbach, 2018
    ArXiv
    Abstract
  3. Pectoral muscle segmentation in breast tomosynthesis with deep learning
    Medical Imaging 2018: Computer-Aided Diagnosis
    A. Rodriguez-Ruiz, J. Teuwen, K. Chung, N. Karssemeijer, M. Chevalier, A. Gubern-Mérida, I. Sechopoulos, 2018
    doi
    Abstract
  4. Automated lesion detection and segmentation in digital mammography using a u-net deep learning network
    14th International Workshop on Breast Imaging (IWBI 2018)
    T. De Moor, A. Rodriguez-Ruiz, R. Mann, A. Gubern Mérida, J. Teuwen, 2018
    doi preprints
    Abstract
  5. Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR
    Medical Imaging 2018: Image Processing
    J. Teuwen, M. Ghafoorian, R. Manniesing, F. De Leeuw, N. Karssemeijer, B. Van Ginneken, B. Platel, 2018
    doi preprints
    Abstract
  6. Improving Breast Cancer Detection Using Symmetry Information with Deep Learning
    Image Analysis for Moving Organ, Breast, and Thoracic Images
    Y. Brhane Hagos, A. Gubern Mérida, J. Teuwen, 2018
    doi preprints
    Abstract
  7. Fluctuations of ergodic averages for actions of groups of polynomial growth
    Studia Mathematica
    N. Moriakov, 2018, 240;(3):255-273
    doi
    Abstract
  8. On systems with quasi-discrete spectrum
    Studia Mathematica
    M. Haase, N. Moriakov, 2018, 241;(2):173-199
    doi
    Abstract

2017

  1. $L^p-L^q$- off-diagonal estimates for the Ornstein-Uhlenbeck semigroup: Some positive and negative results
    Bulletin of the Australian Mathematical Society
    A. Amenta, J. Teuwen, 2017, 96;(1):154-161
    doi preprints
    Abstract
  2. New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers
    Acta Radiologica
    A. Rodriguez-Ruiz, J. Teuwen, S. Vreemann, R. W. Bouwman, R. E. Van Engen, N. Karssemeijer, R. M. Mann, A. Gubern-Merida, I. Sechopoulos, 2017, 59;(9):1051-1059
    doi paper (open access)
    Abstract
  3. On the semi-classical limit of scalar products of the XXZ spin chain
    Journal of High Energy Physics
    Y. Jiang, J. Brunekreef, 2017, 2017;(3)
    doi paper (open access)
    Abstract
  4. On Effective Birkhoff’s Ergodic Theorem for Computable Actions of Amenable Groups
    Theory of Computing Systems
    N. Moriakov, 2017, 62;(5):1269-1287
    doi paper (open access)
    Abstract
  5. Endothelial progenitor cells and plaque burden in stented coronary artery segments: an optical coherence tomography study six months after elective PCI
    BMC Cardiovascular Disorders
    S. Otto, K. Nitsche, C. Jung, A. Kryvanos, A. Zhylka, K. Heitkamp, J. Gutiérrez-Chico, B. Goebel, P. C. Schulze, H. R. Figulla, T. C. Poerner, 2017, 17;(1)
    doi paper (open access)
    Abstract

2016

  1. Magnetohydrodynamics and charged flow in heavy ion collisions
    Nuclear Physics A
    U. Gürsoy, D. Kharzeev, E. Marcus, K. Rajagopal, 2016, 956
    doi
    Abstract