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 (EGPGV@EuroVis, 2015)

Analyzing Hypersensitive AI: Instability in Corporate-Scale Machine Learning. - Michaela Regneri; Malte Hoffmann; Jurij Kost; Niklas Pietsch; Timo Schulz; Sabine Stamm (CoRR, 2018)

Learning Multi-Modal Image Registration without Real Data. - Malte Hoffmann; Benjamin Billot; Juan Eugenio Iglesias; Bruce Fischl; Adrian V. Dalca (CoRR, 2020)

HyperMorph: Amortized Hyperparameter Learning for Image Registration. - Andrew Hoopes; Malte Hoffmann; Bruce Fischl; John V. Guttag; Adrian V. Dalca (IPMI, 2021)

Learning Mri Contrast-Agnostic Registration. - Malte Hoffmann; Benjamin Billot; Juan Eugenio Iglesias; Bruce Fischl; Adrian V. Dalca (ISBI, 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)

Cover Image. - Malte Hoffmann; Esra Abaci Turk; Borjan A. Gagoski; Leah Morgan; Paul Wighton; M. Dylan Tisdall; Martin Reuter 001; Elfar Adalsteinsson; Patricia Ellen Grant; Lawrence L. Wald; André J. W. van der Kouwe (Int. J. Imaging Syst. Technol., 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 001; Elfar Adalsteinsson; Patricia Ellen Grant; Lawrence L. Wald; André J. W. van der Kouwe (Int. J. Imaging Syst. Technol., 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)

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)

SynthStrip: skull-stripping for any brain image. - Andrew Hoopes; Jocelyn S. Mora; Adrian V. Dalca; Bruce Fischl; Malte Hoffmann (NeuroImage, 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)

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 (MIDL, 2023)

Anatomy-specific acquisition-agnostic affine registration learned from fictitious images. - Malte Hoffmann; Andrew Hoopes; Bruce Fischl; Adrian V. Dalca (Image Processing, 2023)

Anatomy-aware and acquisition-agnostic joint registration with SynthMorph. - Malte Hoffmann; Andrew Hoopes; Douglas N. Greve; Bruce Fischl; Adrian V. Dalca (CoRR, 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)

Boosting Skull-Stripping Performance for Pediatric Brain Images. - William Kelley; Nathan Ngo; Adrian V. Dalca; Bruce Fischl; Lilla Zöllei; Malte Hoffmann (ISBI, 2024)

Registration by Regression (RbR): A Framework for Interpretable and Flexible Atlas Registration. - Karthik Gopinath; Xiaoling Hu 002; Malte Hoffmann; Oula Puonti; Juan Eugenio Iglesias (WBIR, 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)

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)

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, 2024)

MultiMorph: On-demand Atlas Construction. - S. Mazdak Abulnaga; Andrew Hoopes; Neel Dey; Malte Hoffmann; Bruce Fischl; John V. Guttag; Adrian V. Dalca (CVPR, 2025)

Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging. - Xiaoling Hu 002; Karthik Gopinath; Peirong Liu; Malte Hoffmann; Koen Van Leemput; Oula Puonti; Juan Eugenio Iglesias (ICLR, 2025)

Learning Accurate Rigid Registration for Longitudinal Brain MRI from Synthetic Data. - Jingru Fu; Adrian V. Dalca; Bruce Fischl; Rodrigo Moreno; Malte Hoffmann (ISBI, 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; et al. (NeuroImage, 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, 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, 2025)

Domain-randomized deep learning for neuroimage analysis. - Malte Hoffmann (CoRR, 2025)