Deep MR Fingerprinting with total-variation and low-rank subspace priors. - Mohammad Golbabaee; Carolin M. Pirkl; Marion I. Menzel; Guido Buonincontri; Pedro A. Gómez (CoRR, 2019)

Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting. - Carolin M. Pirkl; Pedro A. Gómez; Ilona Lipp; Guido Buonincontri; Miguel Molina-Romero; Anjany Sekuboyina; Diana Waldmannstetter; Jonathan Dannenberg; Sebastian Endt; Alberto Merola; Joseph R. Whittaker; Valentina Tomassini; et al. (MIDL, 2020)

Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. - Mohammad Golbabaee; Guido Bounincontri; Carolin M. Pirkl; Marion I. Menzel; Bjoern H. Menze; Mike E. Davies 001; Pedro A. Gómez (CoRR, 2020)

Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty. - Hongwei Li 004; Sunita Gopal; Anjany Sekuboyina; Jianguo Zhang 001; Chen Niu; Carolin M. Pirkl; Jan Kirschke; Benedikt Wiestler; Bjoern H. Menze (UNSURE/PIPPI@MICCAI, 2021)

Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping. - Carolin M. Pirkl; Matteo Cencini; Jan W. Kurzawski; Diana Waldmannstetter; Hongwei Li 004; Anjany Sekuboyina; Sebastian Endt; Luca Peretti; Graziella Donatelli; Rosa Pasquariello; Michela Tosetti; Mauro Costagli; et al. (MIDL, 2021)

Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. - Mohammad Golbabaee; Guido Buonincontri; Carolin M. Pirkl; Marion I. Menzel; Bjoern H. Menze; Mike E. Davies 001; Pedro A. Gómez (Medical Image Anal., 2021)

A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers. - Ketan Fatania; Carolin M. Pirkl; Marion I. Menzel; Peter Hall 001; Mohammad Golbabaee (ISBI, 2022)

Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network. - Sandeep Kaushik; Mikael Bylund; Cristina Cozzini; Dattesh Shanbhag; Steven F. Petit; Jonathan J. Wyatt; Marion I. Menzel; Carolin M. Pirkl; Bhairav Mehta; Vikas Chauhan; Kesavadas Chandrasekharan; Joakim Jonsson; et al. (CoRR, 2022)

Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. - Ketan Fatania; Kwai Y. Chau; Carolin M. Pirkl; Marion I. Menzel; Peter Hall 001; Mohammad Golbabaee (CoRR, 2022)

SRflow: Deep learning based super-resolution of 4D-flow MRI data. - Suprosanna Shit; Judith Zimmermann; Ivan Ezhov; Johannes C. Paetzold; Augusto Fava-Sanches; Carolin M. Pirkl; Bjoern H. Menze (Frontiers Artif. Intell., 2022)

Learning residual motion correction for fast and robust 3D multiparametric MRI. - Carolin M. Pirkl; Matteo Cencini; Jan W. Kurzawski; Diana Waldmannstetter; Hongwei Li 004; Anjany Sekuboyina; Sebastian Endt; Luca Peretti; Graziella Donatelli; Rosa Pasquariello; Mauro Costagli; Guido Buonincontri; et al. (Medical Image Anal., 2022)

Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. - Ketan Fatania; Kwai Y. Chau; Carolin M. Pirkl; Marion I. Menzel; Mohammad Golbabaee (ISBI, 2023)

Deep Image Priors for Magnetic Resonance Fingerprinting with Pretrained Bloch-Consistent Denoising Autoencoders. - Perla Mayo; Matteo Cencini; Ketan Fatania; Carolin M. Pirkl; Marion I. Menzel; Bjoern H. Menze; Michela Tosetti; Mohammad Golbabaee (ISBI, 2024)

StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations. - Perla Mayo; Matteo Cencini; Carolin M. Pirkl; Marion I. Menzel; Michela Tosetti; Bjoern H. Menze; Mohammad Golbabaee (MLMI@MICCAI (2), 2024)

Improved Patch Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting. - Perla Mayo; Carolin M. Pirkl; Alin Achim; Bjoern H. Menze; Mohammad Golbabaee (CoRR, 2024)

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction. - Perla Mayo; Carolin M. Pirkl; Alin Achim; Bjoern H. Menze; Mohammad Golbabaee (CoRR, 2025)