Publications

2024

1. On retrospective k-space subsampling schemes for deep MRI reconstruction

   Magnetic Resonance Imaging

   G. Yiasemis, C. I. Sánchez, J. Sonke, J. Teuwen, 2024

   doi preprints abstract
2. Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT

   N. Moriakov, J. Sonke, J. Teuwen, 2024

   ArXiv abstract
3. Deep Cardiac MRI Reconstruction with ADMM

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

   G. Yiasemis, N. Moriakov, J. Sonke, J. Teuwen, 2024

   doi preprints abstract
4. End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI

   G. Yiasemis, J. Sonke, J. Teuwen, 2024

   ArXiv abstract
5. Optimizing CycleGAN design for CBCT-to-CT translation: insights into 2D vs 3D modeling, patch size, and the need for tailored evaluation metrics

   Medical Imaging 2024: Image Processing

   I. Hadzic, S. Pai, V. Trier Taasti, D. Bontempi, I. Zhovannik, R. Canters, J. J. Sonke, A. Dekker, J. Teuwen, A. Traverso, 2024

   doi abstract

2023

1. Constrained Empirical Risk Minimization: Theory and Practice

   E. Marcus, R. Sheombarsing, J. Sonke, J. Teuwen, 2023

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

   G. Yiasemis, N. Moriakov, J. Sonke, J. Teuwen, 2023

   ArXiv abstract
3. End‐to‐end memory‐efficient reconstruction for cone beam CT

   Medical Physics

   N. Moriakov, J. Sonke, J. Teuwen, 2023, 12;(50):7579-7593

   doi preprints abstract
4. Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms

   J. Brunekreef, E. Marcus, R. Sheombarsing, J. Sonke, J. Teuwen, 2023

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

   G. Yiasemis, N. Moriakov, C. I. Sánchez, J. Sonke, J. Teuwen, 2023

   ArXiv abstract

2022

1. Deep MRI reconstruction with radial subsampling

   Medical Imaging 2022: Physics of Medical Imaging

   G. Yiasemis, C. Zhang, C. I. Sánchez, J. Sonke, J. Teuwen, 2022

   doi preprints
2. Tumor tracking in 4D CT images for adaptive radiotherapy

   Medical Imaging 2022: Image Processing

   P. S. Kronemeijer, E. Gavves, J. Sonke, J. Teuwen, 2022

   doi
3. Recurrent variational network: A deep learning inverse problem solver applied to the task of accelerated mri reconstruction

   Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

   G. Yiasemis, J. Sonke, C. Sánchez, J. Teuwen, 2022

   url preprints

2021

1. Subpixel object segmentation using wavelets and multi resolution analysis

   R. Sheombarsing, N. Moriakov, J. Sonke, J. Teuwen, 2021

   ArXiv abstract

2019

1. Learned SIRT for Cone Beam Computed Tomography Reconstruction

   R. J. Dilz, L. Schröder, N. Moriakov, J. Sonke, J. Teuwen, 2019

   ArXiv abstract