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ORCIDNikita Moriakov
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Journal Articles
- 2024
[j4]Nikita Moriakov
, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen:
Improving lesion volume measurements on digital mammograms. Medical Image Anal. 97: 103269 (2024)- 2022
- [j3]George Yiasemis, Nikita Moriakov, Dimitrios Karkalousos, Matthan W. A. Caan, Jonas Teuwen:
DIRECT: Deep Image REConstruction Toolkit. J. Open Source Softw. 7(74): 4278 (2022) - 2021
- [j2]Jonas Teuwen, Nikita Moriakov, Christian Fedon, Marco Caballo, Ingrid S. Reiser, Predrag R. Bakic, Eloy García, Oliver Díaz, Koen Michielsen, Ioannis Sechopoulos:
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. Medical Image Anal. 71: 102061 (2021) - 2018
- [j1]Nikita Moriakov:
On Effective Birkhoff's Ergodic Theorem for Computable Actions of Amenable Groups. Theory Comput. Syst. 62(5): 1269-1287 (2018)
Conference and Workshop Papers
- 2023
- [c4]George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Deep Cardiac MRI Reconstruction with ADMM. STACOM@MICCAI 2023: 479-490 - 2022
- [c3]Mikhail Mikerov, Koen Michielsen, Nikita Moriakov, Ioannis Sechopoulos:
Adding patient motion from DCE-MRI to anthropomorphic phantoms for dedicated breast CT. Medical Imaging: Image Processing 2022 - 2020
- [c2]Nikita Moriakov, Jonas Adler, Jonas Teuwen:
Kernel of CycleGAN as a principal homogeneous space. ICLR 2020 - 2019
- [c1]Joris van Vugt, Elena Marchiori, Ritse Mann, Albert Gubern-Mérida, Nikita Moriakov, Jonas Teuwen:
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation. Medical Imaging: Computer-Aided Diagnosis 2019: 1095002
Informal and Other Publications
- 2024
- [i13]Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT. CoRR abs/2401.11256 (2024) - 2023
- [i12]Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves:
Neural Modulation Fields for Conditional Cone Beam Neural Tomography. CoRR abs/2307.08351 (2023) - [i11]Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen:
Improving Lesion Volume Measurements on Digital Mammograms. CoRR abs/2308.14369 (2023) - [i10]George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems. CoRR abs/2309.09954 (2023) - [i9]George Yiasemis, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Deep Cardiac MRI Reconstruction with ADMM. CoRR abs/2310.06628 (2023) - [i8]George Yiasemis, Nikita Moriakov, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen:
JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction. CoRR abs/2311.15856 (2023) - 2021
- [i7]Ray Sheombarsing, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen:
Subpixel object segmentation using wavelets and multi resolution analysis. CoRR abs/2110.15233 (2021) - 2020
- [i6]Nikita Moriakov, Jonas Adler, Jonas Teuwen:
Kernel of CycleGAN as a Principle homogeneous space. CoRR abs/2001.09061 (2020) - [i5]Nikita Moriakov, Ashwin Samudre, Michela Negro, Fabian Gieseke, Sydney Otten, Luc Hendriks:
Inferring astrophysical X-ray polarization with deep learning. CoRR abs/2005.08126 (2020) - [i4]Jonas Teuwen, Nikita Moriakov, Christian Fedon, Marco Caballo, Ingrid S. Reiser, Predrag R. Bakic, Eloy García, Oliver Díaz, Koen Michielsen, Ioannis Sechopoulos:
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. CoRR abs/2006.06508 (2020) - [i3]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:
Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils. CoRR abs/2011.07952 (2020) - 2018
- [i2]Nikita Moriakov, Koen Michielsen, Jonas Adler, Ritse Mann, Ioannis Sechopoulos, Jonas Teuwen:
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction. CoRR abs/1808.04640 (2018) - [i1]Joris van Vugt, Elena Marchiori, Ritse Mann, Albert Gubern-Mérida, Nikita Moriakov, Jonas Teuwen:
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation. CoRR abs/1808.04909 (2018)
Coauthor Index
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