Publications

2019

  1. Learned SIRT for Cone Beam Computed Tomography Reconstruction
    R. J. Dilz, L. Schröder, N. Moriakov, J. Sonke, J. Teuwen, 2019
    ArXiv
    Abstract
  2. 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
  3. 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
    Abstract
  4. 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
    Abstract
  5. 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
    Abstract
  6. 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
  7. 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
  8. 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
    Abstract
  9. 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
    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
    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
    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
    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
    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
  2. On the integral kernels of derivatives of the Ornstein–Uhlenbeck semigroup
    Infinite Dimensional Analysis, Quantum Probability and Related Topics
    J. Teuwen, 2016, 19;(04):1650030
    doi preprints
    Abstract
  3. Shedding new light on Gaussian harmonic analysis
    J. Teuwen, 2016
    doi
    Abstract
  4. A Landscape of Pharmacogenomic Interactions in Cancer
    Cell
    F. Iorio, T. A. Knijnenburg, D. J. Vis, G. R. Bignell, M. P. Menden, M. Schubert, N. Aben, E. Gonçalves, S. Barthorpe, H. Lightfoot, T. Cokelaer, P. Greninger, E. Van Dyk, H. Chang, H. De Silva, H. Heyn, X. Deng, R. K. Egan, Q. Liu, T. Mironenko, X. Mitropoulos, L. Richardson, J. Wang, T. Zhang, S. Moran, S. Sayols, M. Soleimani, D. Tamborero, N. Lopez-Bigas, P. Ross-Macdonald, M. Esteller, N. S. Gray, D. A. Haber, M. R. Stratton, C. H. Benes, L. F. Wessels, J. Saez-Rodriguez, U. Mcdermott, M. J. Garnett, 2016, 166;(3):740-754
    doi
    Abstract

2015

  1. A note on Gaussian maximal functions
    Indagationes Mathematicae
    J. Teuwen, 2015, 26;(1):106-112
    doi preprints
    Abstract

2010

  1. Combining regression and classification methods for improving automatic speaker age recognition
    2010 IEEE International Conference on Acoustics, Speech and Signal Processing
    C. Van Heerden, E. Barnard, M. Davel, C. Van Der Walt, E. Van Dyk, M. Feld, C. Muller, 2010
    doi
    Abstract