A Novel Estimation Method for Physiological Parameters in Dynamic Contrast-Enhanced MRI: Application of a Distributed Parameter Model Using Fourier-Domain Calculations. - Anders Garpebring; Nils Östlund; Mikael Karlsson (IEEE Trans. Medical Imaging, 2009)

Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning. - Attila Tibor Simkó; Tommy Löfstedt; Anders Garpebring; Mikael Bylund; Tufve Nyholm; Joakim Jonsson (MIDL, 2021)

MRI bias field correction with an implicitly trained CNN. - Attila Simkó; Tommy Löfstedt; Anders Garpebring; Tufve Nyholm; Joakim Jonsson (MIDL, 2022)

Reproducibility of the Methods in Medical Imaging with Deep Learning. - Attila Simkó; Anders Garpebring; Joakim Jonsson; Tufve Nyholm; Tommy Löfstedt (MIDL, 2023)

Improving MR image quality with a multi-task model, using convolutional losses. - Attila Simkó; Simone Ruiter; Tommy Löfstedt; Anders Garpebring; Tufve Nyholm; Mikael Bylund; Joakim Jonsson (BMC Medical Imaging, 2023)

Compressing the Activation Maps in Deep Convolutional Neural Networks and Its Regularizing Effect. - Minh H. Vu; Anders Garpebring; Tufve Nyholm; Tommy Löfstedt (Trans. Mach. Learn. Res., 2024)