Publications of jonas teuwen

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2020

Papers in international journals

  • I. Olaciregui-Ruiz, I. Torres-Xirau, J. Teuwen, U. van der Heide and A. Mans. "A Deep Learning-based correction to EPID dosimetry for attenuation and scatter in the Unity MR-Linac system", Physica Medica, 2020. Abstract/PDF DOI
  • F. Ayatollahi, S. Shokouhi and J. Teuwen. "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, 2020. Abstract/PDF DOI PMID

Papers in conference proceedings

  • K. Michielsen, N. Moriakov, J. Teuwen and I. Sechopoulos. "Deep Learning-based Initialization of Iterative Reconstruction for Breast Tomosynthesis", CT Meeting, 2020. Abstract
  • N. Moriakov, J. Adler and J. Teuwen. "Kernel of CycleGAN as a principal homogeneous space", International Conference on Learning Representations, 2020. Abstract/PDF

Abstracts

  • W. Sanderink, J. Teuwen, L. Appelman, I. Sechopoulos, N. Karssemeijer and R. Mann. "Simultaneous multi-slice single-shot DWI compared to routine read-out-segmented DWI for evaluation of breast lesions", ISMRM Benelux, 2020. Abstract

2019

Papers in international journals

  • G. Litjens, F. Ciompi, J. Wolterink, B. de Vos, T. Leiner, J. Teuwen and I. Isgum. "State-of-the-Art Deep Learning in Cardiovascular Image Analysis", JACC Cardiovascular Imaging, 2019. Abstract/PDF DOI PMID
  • M. Dalmis, A. Gubern-Mérida, 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, 2019. Abstract/PDF DOI PMID
  • A. Rodriguez-Ruiz, K. Lang, A. Gubern-Merida, J. Teuwen, M. Broeders, G. Gennaro, P. Clauser, T. Helbich, M. Chevalier, T. Mertelmeier, M. Wallis, I. Andersson, S. Zackrisson, I. Sechopoulos and R. Mann. "Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study", European Radiology, 2019. Abstract/PDF DOI PMID
  • S. van de Leemput, J. Teuwen, B. van Ginneken and R. Manniesing. "MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks", Journal of Open Source Software, 2019. Abstract/PDF DOI

Preprints

  • R. Dilz, L. Schröder, N. Moriakov, J. Sonke and J. Teuwen. "Learned SIRT for Cone Beam Computed Tomography Reconstruction", arXiv:1908.10715, 2019. Abstract arXiv
  • P. Putzky, D. Karkalousos, J. Teuwen, N. Moriakov, B. Bakker, M. Caan and M. Welling. "i-RIM applied to the fastMRI challenge", arXiv:1910.08952, 2019. Abstract/PDF arXiv

Papers in conference proceedings

  • D. Ruhe, V. Codreanu, C. van Leeuwen, D. Podareanu, V. Saletore and J. Teuwen. "Generating CT-scans with 3D Generative Adversarial Networks Using a Supercomputer", Medical Imaging meets NeurIPS, 2019. Abstract
  • N. Moriakov, K. Michielsen, R. Mann, J. Adler, I. Sechopolous and J. Teuwen. "Deep learning framework for digital breast tomosynthesis reconstruction", Medical Imaging, 2019. Abstract/PDF DOI arXiv
  • 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", Medical Imaging, 2019. Abstract/PDF DOI
  • J. van Vugt, E. Marchiori, R. Mann, A. Gubern-Merida, N. Moriakov and J. Teuwen. "Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation", Medical Imaging, 2019. Abstract/PDF DOI

Abstracts

  • W. Sanderink, J. Teuwen, L. Appelman, I. Sechopoulos, N. Karssemeijer and R. Mann. "Simultaneous multi-slice single-shot DWI compared to routine read-out-segmented DWI for evaluation of breast lesions", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2019. Abstract

Theses

  • M. Dalmis. "Automated Analysis of Breast MRI From traditional methods into deep learning", 2019. Abstract/PDF

2018

Papers in international journals

  • A. Rodriguez-Ruiz, J. Teuwen, S. Vreemann, R. Bouwman, R. van Engen, N. Karssemeijer, R. Mann, A. Gubern-Merida and I. Sechopoulos. "New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers", Acta Radiologica, 2018. Abstract/PDF DOI PMID

Preprints

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

Papers in conference proceedings

  • Y. Hagos, A. Gubern-Mérida and J. Teuwen. "Improving Breast Cancer Detection using Symmetry Information with Deep Learning", Breast Image Analysis (BIA), 2018. Abstract/PDF DOI
  • S. van de Leemput, J. Teuwen and R. Manniesing. "MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks", International Conference on Learning Representations, 2018. Abstract/PDF
  • 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", International Workshop on Breast Imaging, 2018. Abstract/PDF arXiv
  • M. Ghafoorian, J. Teuwen, R. Manniesing, F. de Leeuw, B. van Ginneken, N. Karssemeijer and B. Platel. "Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR", Medical Imaging, 2018. Abstract/PDF DOI arXiv
  • 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", Medical Imaging, 2018. Abstract/PDF DOI

Abstracts

  • 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", European Society for Molecular Imaging, 2018. Abstract

2017

Abstracts

  • 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", Annual Meeting of the Radiological Society of North America, 2017. Abstract

2016

Papers in international journals

  • J. Teuwen. "On the integral kernels of derivatives of the Ornstein-Uhlenbeck semigroup", Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2016. Abstract/PDF DOI

Theses

  • J. Teuwen. "Shedding new light on gaussian harmonic analysis", 2016. Abstract/PDF DOI

2015

Papers in international journals

  • J. Teuwen. "A note on Gaussian maximal function", Indagationes Mathematicae, 2015. Abstract/PDF DOI