Publications

Jonas Teuwen

2018

  1. 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
  2. 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
  3. 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

2017

  1. Lp−Lq- 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

2016

  1. 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
  2. Shedding new light on Gaussian harmonic analysis
    J. Teuwen, 2016
    doi
    Abstract

2015

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