Publications of Nikita Moriakov

2022

  1. Y. Beauferris, J. Teuwen, D. Karkalousos, N. Moriakov, M. Caan, G. Yiasemis, L. Rodrigues, A. Lopes, H. Pedrini, L. Rittner, M. Dannecker, V. Studenyak, F. Gröger, D. Vyas, S. Faghih-Roohi, A. Kumar Jethi, J. Chandra Raju, M. Sivaprakasam, M. Lasby, N. Nogovitsyn, W. Loos, R. Frayne, R. Souza, "Multi-Coil MRI Reconstruction Challenge—Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations", Frontiers in Neuroscience, 2022-07-06, 16
  2. G. Yiasemis, N. Moriakov, D. Karkalousos, M. Caan, J. Teuwen, "DIRECT: Deep Image REConstruction Toolkit", Journal of Open Source Software, 2022-05-30, 7;(73):4278

2021

  1. Y. Beauferris, J. Teuwen, D. Karkalousos, N. Moriakov, M. Caan, G. Yiasemis, L. Rodrigues, A. Lopes, H. Pedrini, L. Rittner, M. Dannecker, V. Studenyak, F. Gröger, D. Vyas, S. Faghih-Roohi, A. K. Jethi, J. C. Raju, M. Sivaprakasam, M. Lasby, N. Nogovitsyn, W. Loos, R. Frayne, R. Souza, "Multi-Coil MRI Reconstruction Challenge – Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations", arXiv:2011.07952 [physics], 2021-12-21
  2. J. Teuwen, N. Moriakov, C. Fedon, M. Caballo, I. Reiser, P. Bakic, E. García, O. Diaz, K. Michielsen, I. Sechopoulos, "Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation", Medical Image Analysis, July 1, 2021, 71
  3. R. Sheombarsing, N. Moriakov, J. Sonke, J. Teuwen, "Subpixel object segmentation using wavelets and multi resolution analysis", arXiv:2110.15233 [cs, eess], 2021-10-28

2020

  1. N. Moriakov, "Computable Følner monotilings and a theorem of Brudno", Ergodic Theory and Dynamical Systems, 2020
  2. N. Moriakov, A. Samudre, M. Negro, F. Gieseke, S. Otten, L. Hendriks, "Inferring astrophysical X-ray polarization with deep learning", arXiv:2005.08126 [astro-ph], 2020-05-16
  3. M. Fernandes, J. Teuwen, R. Wijsman, S. Barbara, N. Moriakov, J. Bussink, R. Monshouwer, "Segmentation of the heart using a Residual U-net model", ESTOR 2020, 2020
  4. K. Michielsen, N. Moriakov, J. Teuwen, I. Sechopoulos, "Deep Learning-based Initialization of Iterative Reconstruction for Breast Tomosynthesis", arXiv preprint arXiv:2009.01538, 2020
  5. N. Moriakov, J. Adler, J. Teuwen, "Kernel of CycleGAN as a Principle homogeneous space", arXiv preprint arXiv:2001.09061, 2020
  6. J. Teuwen, N. Moriakov, "Convolutional neural networks", Handbook of Medical Image Computing and Computer Assisted Intervention, 2020

2019

  1. R. J. Dilz, L. Schröder, N. Moriakov, J. Sonke, J. Teuwen, "Learned SIRT for Cone Beam Computed Tomography Reconstruction", arXiv preprint arXiv:1908.10715, 2019
  2. J. van 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", Medical Imaging 2019: Computer-Aided Diagnosis, 2019, 10950

2018

  1. N. Moriakov, "On Effective Birkhoff’s Ergodic Theorem for Computable Actions of Amenable Groups", Theory of Computing Systems, 7/2018, 62;(5):1269-1287

2017

  1. M. Haase, N. Moriakov, "On systems with quasi-discrete spectrum", arXiv:1509.08961 [math], 2017-06-01

2016

  1. N. Moriakov, "Fluctuations of Ergodic Averages for Actions of Groups of Polynomial Growth", arXiv:1608.05033 [math], 2016-08-19
  2. N. Moriakov, "Hochman's upcrossing theorem for groups of polynomial growth", arXiv:1612.05334 [math], 2016-12-15

2015

  1. N. Moriakov, "Categories of measurement functors. Entropy of discrete amenable group representations on abstract categories. Entropy as a bifunctor into $[0,\infty]$", arXiv:1509.07836 [math], 2015-10-13
  2. N. Moriakov, "Computable Fölner monotilings and a theorem of Brudno II", arXiv:1510.03833 [math], 2015-12-14