Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction. - Nikita Moriakov; Koen Michielsen; Jonas Adler; Ritse Mann; Ioannis Sechopoulos; Jonas Teuwen (CoRR, 2018)

On Effective Birkhoff's Ergodic Theorem for Computable Actions of Amenable Groups. - Nikita Moriakov (Theory Comput. Syst., 2018)

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 (Computer-Aided Diagnosis, 2019)

Kernel of CycleGAN as a principal homogeneous space. - Nikita Moriakov; Jonas Adler; Jonas Teuwen (ICLR, 2020)

Kernel of CycleGAN as a Principle homogeneous space. - Nikita Moriakov; Jonas Adler; Jonas Teuwen (CoRR, 2020)

Inferring astrophysical X-ray polarization with deep learning. - Nikita Moriakov; Ashwin Samudre; Michela Negro; Fabian Gieseke; Sydney Otten; Luc Hendriks (CoRR, 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 001; Alexandre Lopes; Hélio Pedrini; Letícia Rittner; Maik Dannecker; Viktor Studenyak; Fabian Gröger; et al. (CoRR, 2020)

Subpixel object segmentation using wavelets and multi resolution analysis. - Ray Sheombarsing; Nikita Moriakov; Jan-Jakob Sonke; Jonas Teuwen (CoRR, 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 001; Oliver Díaz; Koen Michielsen; Ioannis Sechopoulos (Medical Image Anal., 2021)

Adding patient motion from DCE-MRI to anthropomorphic phantoms for dedicated breast CT. - Mikhail Mikerov; Koen Michielsen; Nikita Moriakov; Ioannis Sechopoulos (Image Processing, 2022)

DIRECT: Deep Image REConstruction Toolkit. - George Yiasemis; Nikita Moriakov; Dimitrios Karkalousos; Matthan W. A. Caan; Jonas Teuwen (J. Open Source Softw., 2022)

Deep Cardiac MRI Reconstruction with ADMM. - George Yiasemis; Nikita Moriakov; Jan-Jakob Sonke; Jonas Teuwen (STACOM@MICCAI, 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)

vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems. - George Yiasemis; Nikita Moriakov; Jan-Jakob Sonke; Jonas Teuwen (CoRR, 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)

Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network. - George Yiasemis; Nikita Moriakov; Jan-Jakob Sonke; Jonas Teuwen (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT. - Nikita Moriakov; Jan-Jakob Sonke; Jonas Teuwen (CoRR, 2024)

Improving lesion volume measurements on digital mammograms. - Nikita Moriakov; Jim Peters; Ritse Mann; Nico Karssemeijer; Jos van Dijck; Mireille J. M. Broeders; Jonas Teuwen (Medical Image Anal., 2024)