Publications of Nikita Moriakov

2022

Papers in international journals

1. R. Samperna, N. Moriakov, N. Karssemeijer, J. Teuwen and R. Mann, "Exploiting the Dixon Method for a Robust Breast and Fibro-Glandular Tissue Segmentation in Breast MRI", Diagnostics, 2022;12:1690.
   Abstract DOI PMID
2. 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 and R. Souza, "Multi-Coil MRI Reconstruction Challenge--Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations", Frontiers in Neuroscience, 2022;16.
   Abstract DOI PMID Cited by ~16

2021

Papers in international journals

1. J. Teuwen, N. Moriakov, C. Fedon, M. Caballo, I. Reiser, P. Bakic, E. García, O. Diaz, K. Michielsen and I. Sechopoulos, "Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation", Medical Image Analysis, 2021;71:102061.
   DOI PMID Cited by ~23

2020

Preprints

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. Jethi, J. Raju, M. Sivaprakasam, M. Lasby, N. Nogovitsyn, W. Loos, R. Frayne and R. Souza, "Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations", arXiv:2011.07952, 2020.
   Abstract DOI arXiv Cited by ~7

Papers in conference proceedings

1. K. Michielsen, N. Moriakov, J. Teuwen and I. Sechopoulos, "Deep Learning-based Initialization of Iterative Reconstruction for Breast Tomosynthesis", 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.
   Cited by ~1
2. N. Moriakov, J. Adler and J. Teuwen, "Kernel of CycleGAN as a principal homogeneous space", International Conference on Learning Representations, 2020.
   Abstract Url Cited by ~10

2019

Preprints

1. 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 arXiv Cited by ~29
2. 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 Cited by ~1

Papers in conference proceedings

1. 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 DOI arXiv Cited by ~10
2. 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 DOI

2017

Papers in international journals

1. N. Moriakov, "On Effective Birkhoff's Ergodic Theorem for Computable Actions of Amenable Groups", Theory of Computing Systems, 2017.
   DOI