Publications
2019
- R. J. Dilz, L. Schröder, N. Moriakov, J. Sonke, J. Teuwen, "Learned SIRT for Cone Beam Computed Tomography Reconstruction", 2019
- M. U. Dalmiş, A. Gubern-Mérida, S. Vreemann, P. Bult, N. Karssemeijer, R. Mann, J. Teuwen, "Artificial Intelligence–Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI", Investigative Radiology, 2019, 54;(6):325-332
- G. Litjens, F. Ciompi, J. M. Wolterink, B. D. De Vos, T. Leiner, J. Teuwen, I. Išgum, "State-of-the-Art Deep Learning in Cardiovascular Image Analysis", JACC: Cardiovascular Imaging, 2019, 12;(8):1549-1565
- 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, "Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study", European Radiology, 2019, 29;(9):4825-4832
- S. C. Van De Leemput, J. Teuwen, B. Van Ginneken, R. Manniesing, "MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks", Journal of Open Source Software, 2019, 4;(39):1576
- M. Caballo, J. Teuwen, R. Mann, I. Sechopoulos, "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, 2019
- F. Ayatollahi, S. B. Shokouhi, 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, 2019, 15;(2):297-307
- J. Teuwen, N. Moriakov, R. Mann, E. Marchiori, J. Van Vugt, A. Gubern-Mérida, "Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation", Medical Imaging 2019: Computer-Aided Diagnosis, 2019
- E. Marcus, S. Vandoren, "A new class of SYK-like models with maximal chaos", Journal of High Energy Physics, 2019, 2019;(1)
2018
- Y. B. Hagos, A. G. Merida, J. Teuwen, "Improving Breast Cancer Detection using Symmetry Information with Deep Learning", 2018
- J. v. Vugt, E. Marchiori, R. Mann, A. Gubern-Mérida, N. Moriakov, J. Teuwen, "Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation", 2018
- N. Moriakov, K. Michielsen, J. Adler, R. Mann, I. Sechopoulos, J. Teuwen, "Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction", 2018
- T. d. Moor, A. Rodriguez-Ruiz, A. G. Mérida, R. Mann, J. Teuwen, "Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network", 2018
- M. Ghafoorian, J. Teuwen, R. Manniesing, F. d. Leeuw, B. v. Ginneken, N. Karssemeijer, B. Platel, "Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR", 2018
- J. Teuwen, P. Urbach, "On Maximum Focused Electric Energy in Bounded Regions", 2018
- A. Rodriguez-Ruiz, J. Teuwen, K. Chung, N. Karssemeijer, M. Chevalier, A. Gubern-Mérida, I. Sechopoulos, "Pectoral muscle segmentation in breast tomosynthesis with deep learning", Medical Imaging 2018: Computer-Aided Diagnosis, 2018
- T. De Moor, A. Rodriguez-Ruiz, R. Mann, A. Gubern Mérida, J. Teuwen, "Automated lesion detection and segmentation in digital mammography using a u-net deep learning network", 14th International Workshop on Breast Imaging (IWBI 2018), 2018
- U. Gürsoy, D. Kharzeev, E. Marcus, K. Rajagopal, C. Shen, "Charge-dependent flow induced by magnetic and electric fields in heavy ion collisions", Physical Review C, 2018, 98;(5)
- N. Moriakov, "Fluctuations of ergodic averages for actions of groups of polynomial growth", Studia Mathematica, 2018, 240;(3):255-273
- M. Haase, N. Moriakov, "On systems with quasi-discrete spectrum", Studia Mathematica, 2018, 241;(2):173-199
2017
- A. Amenta, J. Teuwen, "$L^p-L^q$- off-diagonal estimates for the Ornstein-Uhlenbeck semigroup: Some positive and negative results", Bulletin of the Australian Mathematical Society, 2017, 96;(1):154-161
- A. Rodriguez-Ruiz, J. Teuwen, S. Vreemann, R. W. Bouwman, R. E. Van Engen, N. Karssemeijer, R. M. Mann, A. Gubern-Merida, I. Sechopoulos, "New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers", Acta Radiologica, 2017, 59;(9):1051-1059
- 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, "Endothelial progenitor cells and plaque burden in stented coronary artery segments: an optical coherence tomography study six months after elective PCI", BMC Cardiovascular Disorders, 2017, 17;(1)
- N. Moriakov, "On Effective Birkhoff’s Ergodic Theorem for Computable Actions of Amenable Groups", Theory of Computing Systems, 2017, 62;(5):1269-1287
- Y. Jiang, J. Brunekreef, "On the semi-classical limit of scalar products of the XXZ spin chain", Journal of High Energy Physics, 2017, 2017;(3)
2016
- A. Amenta, J. Teuwen, "$L^p$-$L^q$ off-diagonal estimates for the Ornstein–Uhlenbeck semigroup: some positive and negative results", 2016
- J. Teuwen, "Shedding new light on Gaussian harmonic analysis", 2016
- U. Gürsoy, D. Kharzeev, E. Marcus, K. Rajagopal, "Magnetohydrodynamics and charged flow in heavy ion collisions", Nuclear Physics A, 2016, 956