Malte Hoffmann

According to our database, Malte Hoffmann authored at least 28 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Domain-randomized deep learning for neuroimage analysis.

Malte Hoffmann

CoRR, July, 2025

MindGrab for BrainChop: Fast and Accurate Skull Stripping for Command Line and Browser.

Armina Fani, Mike Doan, Isabelle Le, Alex Fedorov, Malte Hoffmann, Chris Rorden, Sergey M. Plis

CoRR, June, 2025

MultiMorph: On-demand Atlas Construction.

S. Mazdak Abulnaga, Andrew Hoopes, Neel Dey, Malte Hoffmann, Marianne Rakic, Bruce Fischl, John V. Guttag, Adrian V. Dalca

CoRR, April, 2025

Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging.

Paul Weiser, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini M. Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi

NeuroImage, 2025

Learning Accurate Rigid Registration for Longitudinal Brain MRI from Synthetic Data.

Jingru Fu, Adrian V. Dalca, Bruce Fischl, Rodrigo Moreno, Malte Hoffmann

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging.

Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti, Juan Eugenio Iglesias

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MultiMorph: On-demand Atlas Construction.

S. Mazdak Abulnaga, Andrew Hoopes, Neel Dey, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI.

Benjamin Billot, Neel Dey, Daniel Moyer, Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Patricia Ellen Grant, Polina Golland

IEEE Trans. Medical Imaging, November, 2024

Search Wide, Focus Deep: Automated Fetal Brain Extraction with Sparse Training Data.

Javid Dadashkarimi, Valeria Pena Trujillo, Camilo Jaimes, Lilla Zöllei, Malte Hoffmann

CoRR, 2024

WALINET: A water and lipid identification convolutional Neural Network for nuisance signal removal in 1H MR Spectroscopic Imaging.

Paul Weiser, Georg Langs, Stanislav Motyka, Wolfgang Bogner, Sébastien Courvoisier, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi

CoRR, 2024

Registration by Regression (RbR): A Framework for Interpretable and Flexible Atlas Registration.

Karthik Gopinath, Xiaoling Hu, Malte Hoffmann, Oula Puonti, Juan Eugenio Iglesias

Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

Boosting Skull-Stripping Performance for Pediatric Brain Images.

William Kelley, Nathan Ngo, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei, Malte Hoffmann

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images.

Benjamin Billot, Daniel Moyer, Neel Dey, Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Patricia Ellen Grant, Polina Golland

CoRR, 2023

Anatomy-aware and acquisition-agnostic joint registration with SynthMorph.

Malte Hoffmann, Andrew Hoopes, Douglas N. Greve, Bruce Fischl, Adrian V. Dalca

CoRR, 2023

Anatomy-specific acquisition-agnostic affine registration learned from fictitious images.

Malte Hoffmann, Andrew Hoopes, Bruce Fischl, Adrian V. Dalca

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Data Consistent Deep Rigid MRI Motion Correction.

Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images.

Malte Hoffmann, Benjamin Billot, Douglas N. Greve, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca

IEEE Trans. Medical Imaging, 2022

SynthStrip: skull-stripping for any brain image.

Andrew Hoopes, Jocelyn S. Mora, Adrian V. Dalca, Bruce Fischl, Malte Hoffmann

NeuroImage, 2022

Learning the Effect of Registration Hyperparameters with HyperMorph.

Andrew Hoopes, Malte Hoffmann, Douglas N. Greve, Bruce Fischl, John V. Guttag, Adrian V. Dalca

CoRR, 2022

2021

A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images.

Douglas N. Greve, Benjamin Billot, Devani Cordero, Andrew Hoopes, Malte Hoffmann, Adrian V. Dalca, Bruce Fischl, Juan Eugenio Iglesias, Jean C. Augustinack

NeuroImage, 2021

Rapid head-pose detection for automated slice prescription of fetal-brain MRI.

Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Leah Morgan, Paul Wighton, M. Dylan Tisdall, Martin Reuter, Elfar Adalsteinsson, Patricia Ellen Grant, Lawrence L. Wald, André J. W. van der Kouwe

Int. J. Imaging Syst. Technol., 2021

Cover Image.

Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Leah Morgan, Paul Wighton, M. Dylan Tisdall, Martin Reuter, Elfar Adalsteinsson, Patricia Ellen Grant, Lawrence L. Wald, André J. W. van der Kouwe

Int. J. Imaging Syst. Technol., 2021

FLEXI: A high order discontinuous Galerkin framework for hyperbolic-parabolic conservation laws.

Nico Krais, Andrea Beck, Thomas Bolemann, Hannes Frank, David Flad, Gregor Gassner, Florian Hindenlang, Malte Hoffmann, Thomas Kuhn, Matthias Sonntag, Claus-Dieter Munz

Comput. Math. Appl., 2021

Learning Mri Contrast-Agnostic Registration.

Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

HyperMorph: Amortized Hyperparameter Learning for Image Registration.

Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca

Proceedings of the Information Processing in Medical Imaging, 2021

2020

Learning Multi-Modal Image Registration without Real Data.

Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca

CoRR, 2020

2018

Analyzing Hypersensitive AI: Instability in Corporate-Scale Machine Learning.

Michaela Regneri, Malte Hoffmann, Jurij Kost, Niklas Pietsch, Timo Schulz, Sabine Stamm

CoRR, 2018

2015

Visualization of 2DWave Propagation by Huygens' Principle.

Stefan Heßel, Oliver Fernandes, Sebastian Boblest, Philipp Offenhäuser, Malte Hoffmann, Andrea Beck, Thomas Ertl, Colin W. Glass, Claus-Dieter Munz, Filip Sadlo

Proceedings of the 15th Eurographics Symposium on Parallel Graphics and Visualization, 2015