Publications of Jonas Teuwen

Accepted or to appear

Papers in international journals

  1. M.U. Dalmış, A. Gubern-Merida, S. Vreemann, P. Bult, N. Karssemeijer, R. Mann and J. Teuwen. "Artificial Intelligence Based Classification of Breast Lesions Imaged With a Multi-Parametric Breast MRI Protocol With ultrafast DCE-MRI, T2 and DWI", Investigative Radiology. PDF


Papers in conference proceedings

  1. M. Caballo, J. Teuwen, R. Mann and I. Sechopolous. "Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images", in: Medical Imaging of SPIE. PDF

  2. N. Moriakov, K. Michielsen, R. Mann, J. Adler, I. Sechopolous and J. Teuwen. "Deep learning framework for digital breast tomosynthesis reconstruction", in: Medical Imaging of SPIE.

  3. J. van Vugt, E. Marchiori, R. Mann, A. Gubern-Mérida, N. Moriakov and J. Teuwen. "Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation", in: Medical Imaging of SPIE.


2018

Papers in international journals

  1. A. Rodriguez-Ruiz, J. Teuwen, S. Vreemann, R.W. Bouwman, R.E. van Engen, N. Karssemeijer, R.M. Mann, A. Gubern-Merida and I. Sechopoulos. "New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers.", Acta radiologica (Stockholm, Sweden : 1987) 2018;59:1051-1059. Abstract/PDF DOI PMID


Preprints

  1. T. de Moor, A. Rodriguez-Ruiz, R. Mann and J. Teuwen. "Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network", arXiv:1802.06865 2018. Abstract

  2. J. Teuwen and P. Urbach. "On Maximum Focused Electric Energy in Bounded Regions", arXiv:1801.02450 2018. Abstract


Papers in conference proceedings

  1. M. Ghafoorian, J. Teuwen, R. Manniesing, F.-E. de Leeuw, B. van Ginneken, N. Karssemeijer and B. Platel. "Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR", in: Medical Imaging, volume 10574, 2018, page 105742U. Abstract/PDF DOI arXiv

  2. Y.B. Hagos, A. Gubern-Mérida and J. Teuwen. "Improving Breast Cancer Detection using Symmetry Information with Deep Learning", in: Breast Image Analysis (BIA), 2018. PDF

  3. S.C. van de Leemput, J. Teuwen and R. Manniesing. "MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks", in: International Conference on Learning Representations, 2018. Abstract/PDF URL

  4. T. de Moor, A. Rodriguez-Ruiz, R. Mann and J. Teuwen. "Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network", in: International Workshop on Breast Imaging, 2018. Abstract/PDF

  5. A. Rodriguez-Ruiz, J. Teuwen, K. Chung, N. Karssemeijer, M. Chevalier, A. Gubern-Merida and I. Sechopoulos. "Pectoral muscle segmentation in breast tomosynthesis with deep learning", in: Medical Imaging, 2018. Abstract/PDF DOI


Abstracts

  1. E. Smeets, J. Teuwen, J. van der Laak, M. Gotthardt, F. Ciompi and E. Aarntzen. "Tumor heterogeneity as a PET-biomarker predicts overall survival of pancreatic cancer patients", in: European Society for Molecular Imaging, 2018. Abstract


2017

Papers in international journals

  1. A. Rodriguez-Ruiz, J. Teuwen, S. Vreemann, R.W. Bouwman, R.E. van Engen, N. Karssemeijer, R.M. Mann, A. Gubern-Merida and I. Sechopoulos. "New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers", Acta Radiologica 2017:028418511774848. PDF DOI

  2. J. Teuwen and A. Amenta. "Lp–Lq Off-diagonal estimates for the Ornstein-Uhlenbeck semigroup: some positive and negative results", Bulletin of the Australian Mathematical Society 2017;96(01):154-161. Abstract/PDF DOI


Abstracts

  1. J. Teuwen, M. Kallenberg, A. Gubern-Merida, A. Rodriguez-Ruiz, N. Karssemeijer and R. Mann. "Automated pre-selection of mammograms without abnormalities using deep learning", in: Annual Meeting of the Radiological Society of North America, 2017. Abstract


2016

Papers in international journals

  1. J. Teuwen. "On the integral kernels of derivatives of the Ornstein–Uhlenbeck semigroup", Infinite Dimensional Analysis, Quantum Probability and Related Topics 2016;19(04):1650030. PDF DOI


Theses

  1. J. Teuwen. "Shedding new light on gaussian harmonic analysis", PhD thesis, Delft University of Technology, 2016. Abstract/PDF DOI


2015

Papers in international journals

  1. J. Teuwen. "A note on Gaussian maximal function", Indagationes Mathematicae 2015;26(1):106-112. Abstract/PDF DOI