Nikita Moriakov

According to our database, Nikita Moriakov authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT.

Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2024

2023

JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction.

George Yiasemis, Nikita Moriakov, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2023

vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems.

George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2023

Improving Lesion Volume Measurements on Digital Mammograms.

Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen

CoRR, 2023

Neural Modulation Fields for Conditional Cone Beam Neural Tomography.

Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves

CoRR, 2023

Deep Cardiac MRI Reconstruction with ADMM.

George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

2022

DIRECT: Deep Image REConstruction Toolkit.

George Yiasemis, Nikita Moriakov, Dimitrios Karkalousos, Matthan W. A. Caan, Jonas Teuwen

J. Open Source Softw., 2022

Adding patient motion from DCE-MRI to anthropomorphic phantoms for dedicated breast CT.

Mikhail Mikerov, Koen Michielsen, Nikita Moriakov, Ioannis Sechopoulos

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation.

Jonas Teuwen, Nikita Moriakov, Christian Fedon, Marco Caballo, Ingrid S. Reiser, Predrag R. Bakic, Eloy García, Oliver Díaz, Koen Michielsen, Ioannis Sechopoulos

Medical Image Anal., 2021

Subpixel object segmentation using wavelets and multi resolution analysis.

Ray Sheombarsing, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen

CoRR, 2021

2020

Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.

Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos, Nikita Moriakov, Matthan W. A. Caan, Lívia Rodrigues, Alexandre Lopes, Hélio Pedrini, Letícia Rittner, Maik Dannecker, Viktor Studenyak, Fabian Gröger, Devendra Vyas, Shahrooz Faghih-Roohi, Amrit Kumar Jethi, JayaChandra Raju, Mohanasankar Sivaprakasam, Wallace Loos, Richard Frayne, Roberto Souza

CoRR, 2020

Inferring astrophysical X-ray polarization with deep learning.

Nikita Moriakov, Ashwin Samudre, Michela Negro, Fabian Gieseke, Sydney Otten, Luc Hendriks

CoRR, 2020

Kernel of CycleGAN as a Principle homogeneous space.

Nikita Moriakov, Jonas Adler, Jonas Teuwen

CoRR, 2020

Kernel of CycleGAN as a principal homogeneous space.

Nikita Moriakov, Jonas Adler, Jonas Teuwen

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation.

Joris van Vugt, Elena Marchiori, Ritse Mann, Albert Gubern-Mérida, Nikita Moriakov, Jonas Teuwen

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018

On Effective Birkhoff's Ergodic Theorem for Computable Actions of Amenable Groups.

Nikita Moriakov

Theory Comput. Syst., 2018

Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction.

Nikita Moriakov, Koen Michielsen, Jonas Adler, Ritse Mann, Ioannis Sechopoulos, Jonas Teuwen

CoRR, 2018