Nikita Moriakov

Postdoctoral Researcher


Nikita Moriakov is a postdoctoral researcher working on developing novel AI methodologies for Oncology. Previously he obtained his Master's degree in Applied Mathematics from Delft University of Technology in 2012 (cum laude). In October 2016 he received his Ph.D. at the same university, defending thesis Entropy and Kolmogorov Complexity. He is currently working on the cancer risk prediction in breast imaging, and the reconstruction of cone-beam CT (CBCT) images in adaptive radiotherapy. His supervisors are Jonas Teuwen and Jan-Jakob Sonke.

  1. S. Tunissen, L. J. Oostveen, N. Moriakov, J. Teuwen, K. Michielsen, E. J. Smit, I. Sechopoulos, "Development and validation of a clinical CT system simulator", Medical Imaging 2022: Physics of Medical Imaging, 2022-04-04
  2. N. Moriakov, J. Sonke, J. Teuwen, "LIRE: Learned Invertible Reconstruction for Cone Beam CT", 2022-05-15
  3. 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
  4. 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
  5. R. Samperna, N. Moriakov, N. Karssemeijer, J. Teuwen, R. M. Mann, "Exploiting the Dixon Method for a Robust Breast and Fibro-Glandular Tissue Segmentation in Breast MRI", Diagnostics, 2022-07-11, 12;(7):1690