Preprints

(2020). Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection. arXiv.org.

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(2020). OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. arXiv.org.

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(2018). Low-Cost Parameterizations of Deep Convolutional Neural Networks. arXiv.org.

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Book Chapter

(2014). Non-linear Image Registration. Handbook of Mathematical Methods in Imaging.

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Journal Articles

(2020). Layer-Parallel Training of Deep Residual Neural Networks. SIAM Journal on Mathematics of Data Science.

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(2020). LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks. IEEE Journal of Selected Topics in Signal Processing.

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(2020). A machine learning framework for solving high-dimensional mean field game and mean field control problems. Proceedings of the National Academy of Sciences.

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(2020). ADMM-Softmax: an ADMM approach for multinomial logistic regression. ETNA - Electronic Transactions on Numerical Analysis.

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(2020). Deep neural networks motivated by partial differential equations. Journal of Mathematical Imaging and Vision.

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(2020). Gauss–Newton Optimization for Phase Recovery From the Bispectrum. IEEE Transactions on Computational Imaging.

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(2019). hMRI - A toolbox for quantitative MRI in neuroscience and clinical research. NeuroImage.

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(2019). A Multiscale Method for Model Order Reduction in PDE Parameter Estimation. Journal of Computational and Applied Mathematics.

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(2019). An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation. SIAM Journal on Scientific Computing.

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(2018). A Bayesian framework for molecular strain identification from mixed diagnostic samples. Inverse Problems.

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(2018). Optimal Experimental Design for Inverse Problems with State Constraints. SIAM Journal on Scientific Computing.

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(2017). Stable architectures for deep neural networks. Inverse Problems.

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(2017). Improved Susceptibility Artifact Correction of Echo Planar MRI using the Alternating Direction Method of Multipliers. Journal of Mathematical Imaging and Vision.

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(2017). jInv - a Flexible Julia Package for PDE Parameter Estimation. SIAM Journal on Scientific Computing.

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(2017). LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables. STSIP Special Issue on Harmonic Analysis and Inverse Problems.

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(2017). Numerical Methods for Polyline-to-Point-Cloud Registration with Applications to Patient-Specific Stent Reconstruction. International Journal for Numerical Methods in Biomedical Engineering.

(2017). A Stabilized Multigrid Solver for Hyperelastic Image Registration. Numerical Linear Algebra With Applications.

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(2016). Computational methods for image reconstruction. NMR in Biomedicine.

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(2014). A multiscale finite volume method for Maxwell's equations at low frequencies. Geophysical Journal International.

(2014). Geophysical Imaging of Fluid Flow in Porous Media. SIAM Journal on Scientific Computing.

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(2014). High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processing.. Frontiers in Neuroscience.

(2013). A Hyperelastic Regularization Energy for Image Registration. SIAM Journal on Scientific Computing.

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(2012). Diffeomorphic susceptibility artifact correction of diffusion-weighted magnetic resonance images. Physics in Medicine and Biology.

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(2012). Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration. IEEE Transactions on Medical Imaging.

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Peer-Reviewed Conference Proceedings

(2019). LeanResNet: A Low-cost yet Effective Convolutional Residual Networks. Workshop on On Device Learning at the 36th International Conference on Machine Learning.

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(2019). IMEXnet: A Forward Stable Deep Neural Network. 36th International Conference on Machine Learning.

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(2018). Reversible architectures for arbitrarily deep residual neural networks. Thirty-Second AAAI Conference on Artificial Intelligence.

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(2017). Learning across scales - A multiscale method for Convolution Neural Networks. Thirty-Second AAAI Conference on Artificial Intelligence.

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(2016). Combined Background Field Removal and Reconstruction for Quantitative Susceptibility Mapping. Bildverarbeitung für die Medizin.

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(2014). A New Method for Joint Susceptibility Artefact Correction and Super-Resolution for dMRI. Proc SPIE.

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(2014). Model-based parameter estimation in DCE-MRI without an Arterial Input Function. Bildverarbeitung für die Medizin.

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(2013). Hyperelastic Susceptibility Artifact Correction of DTI in SPM. Bildverarbeitung für die Medizin.

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(2012). A Simplified Pipeline for Motion Correction in Dual Gated Cardiac PET. Bildverarbeitung für die Medizin.

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(2012). Registration of Dynamic Contrast Enhanced MRI with Local Rigidity Constraint. Workshop on Biomedical Image Registration.

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(2010). A variational approach for the correction of field-inhomogeneities in EPI sequences. Proc SPIE.

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