Carolin M. Pirkl

26 papers Journal 16Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting. IEEE Access Perla Mayo, Carolin M. Pirkl, Alin M. Achim, Bjoern H. Menze, Mohammad Golbabaee
2026	J	`jnl`	MRI2Qmap: multi-parametric quantitative mapping with MRI-driven denoising priors. CoRR Mohammad Golbabaee, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern Menze
2025	—	`conf`	Evaluation of Monte Carlo Dropout for Uncertainty Quantification in Multi-task Deep Learning-Based Glioma Subtyping. UNSURE@MICCAI Gonzalo Esteban Mosquera Rojas, Sebastian R. van der Voort, Carolin M. Pirkl, Sandeep Kaushik, Marion Smits, Stefan Klein
2025	—	`conf`	INR Meets Multi-contrast MRI Reconstruction. GRAIL/RIME@MICCAI Natascha Niessen, Carolin M. Pirkl, Ana Beatriz Solana, Hannah Eichhorn, Veronika Spieker, Wenqi Huang, Tim Sprenger, Marion I. Menzel, Julia A. Schnabel
2025	J	`jnl`	Learning to reason about rare diseases through retrieval-augmented agents. CoRR Ha Young Kim, Jun Li, Ana Beatriz Solana, Carolin M. Pirkl, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
2025	—	`conf`	Physics Informed Guided Diffusion for Accelerated Multi-parametric MRI Reconstruction. MICCAI (16) Perla Mayo, Carolin M. Pirkl, Alin Achim, Bjoern Menze, Mohammad Golbabaee
2025	J	`jnl`	Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction. CoRR Perla Mayo, Carolin M. Pirkl, Alin Achim, Bjoern H. Menze, Mohammad Golbabaee
2025	J	`jnl`	q3-MuPa: Quick, Quiet, Quantitative Multi-Parametric MRI using Physics-Informed Diffusion Models. CoRR Shishuai Wang, Florian Wiesinger, Noemi Sgambelluri, Carolin M. Pirkl, Stefan Klein, Juan Antonio Hernández Tamames, Dirk H. J. Poot
2024	—	`conf`	Deep Image Priors for Magnetic Resonance Fingerprinting with Pretrained Bloch-Consistent Denoising Autoencoders. ISBI Perla Mayo, Matteo Cencini, Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Michela Tosetti, Mohammad Golbabaee
2024	J	`jnl`	Deep Image Priors for Magnetic Resonance Fingerprinting with pretrained Bloch-consistent denoising autoencoders. CoRR Perla Mayo, Matteo Cencini, Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Michela Tosetti, Mohammad Golbabaee
2024	J	`jnl`	Improved Patch Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting. CoRR Perla Mayo, Carolin M. Pirkl, Alin Achim, Bjoern H. Menze, Mohammad Golbabaee
2024	—	`conf`	StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations. MLMI@MICCAI (2) Perla Mayo, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern H. Menze, Mohammad Golbabaee
2024	J	`jnl`	StoDIP: Efficient 3D MRF image reconstruction with deep image priors and stochastic iterations. CoRR Perla Mayo, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern H. Menze, Mohammad Golbabaee
2023	—	`conf`	Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. ISBI Ketan Fatania, Kwai Y. Chau, Carolin M. Pirkl, Marion I. Menzel, Mohammad Golbabaee
2022	—	`conf`	A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers. ISBI Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
2022	J	`jnl`	A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers. CoRR Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
2022	J	`jnl`	Learning residual motion correction for fast and robust 3D multiparametric MRI. Medical Image Anal. Carolin M. Pirkl, Matteo Cencini, Jan W. Kurzawski, Diana Waldmannstetter, Hongwei Li, Anjany Sekuboyina, Sebastian Endt, Luca Peretti, Graziella Donatelli, Rosa Pasquariello, Mauro Costagli, Guido Buonincontri, Michela Tosetti, Marion I. Menzel, Bjoern H. Menze
2022	J	`jnl`	Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. CoRR Ketan Fatania, Kwai Y. Chau, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
2022	J	`jnl`	Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network. CoRR 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, Tufve Nyholm, Florian Wiesinger, Bjoern H. Menze
2022	J	`jnl`	SRflow: Deep learning based super-resolution of 4D-flow MRI data. Frontiers Artif. Intell. Suprosanna Shit, Judith Zimmermann, Ivan Ezhov, Johannes C. Paetzold, Augusto Fava-Sanches, Carolin M. Pirkl, Bjoern H. Menze
2021	J	`jnl`	Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. Medical Image Anal. Mohammad Golbabaee, Guido Buonincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez
2021	—	`conf`	Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping. MIDL Carolin M. Pirkl, Matteo Cencini, Jan W. Kurzawski, Diana Waldmannstetter, Hongwei Li, Anjany Sekuboyina, Sebastian Endt, Luca Peretti, Graziella Donatelli, Rosa Pasquariello, Michela Tosetti, Mauro Costagli, Guido Buonincontri, Marion I. Menzel, Bjoern H. Menze
2021	—	`conf`	Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty. UNSURE/PIPPI@MICCAI Hongwei Li, Sunita Gopal, Anjany Sekuboyina, Jianguo Zhang, Chen Niu, Carolin M. Pirkl, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze
2020	J	`jnl`	Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. CoRR Mohammad Golbabaee, Guido Bounincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez
2020	—	`conf`	Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting. MIDL 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, Michela Tosetti, Derek K. Jones, Bjoern H. Menze, Marion I. Menzel
2019	J	`jnl`	Deep MR Fingerprinting with total-variation and low-rank subspace priors. CoRR Mohammad Golbabaee, Carolin M. Pirkl, Marion I. Menzel, Guido Buonincontri, Pedro A. Gómez