Nico Hoffmann

According to our database, Nico Hoffmann authored at least 32 papers between 2014 and 2023.

Collaborative distances:

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

2023

Ensuring Topological Data-Structure Preservation under Autoencoder Compression due to Latent Space Regularization in Gauss-Legendre nodes.

Chethan Krishnamurthy Ramanaik, Juan Esteban Suarez Cardona, Anna Willmann, Pia Hanfeld, Nico Hoffmann, Michael Hecht

CoRR, 2023

Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows.

Anna Willmann, Jurjen Couperus Cabadag, Yen-Yu Chang, Richard Pausch, Amin Ghaith, Alexander Debus, Arie Irman, Michael Bussmann, Ulrich Schramm, Nico Hoffmann

CoRR, 2023

Implicit Convolutional Kernels for Steerable CNNs.

Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla's LiFePo4 EV Battery.

Jeyhun Rustamov, Luisa Fennert, Nico Hoffmann

CoRR, 2022

Implicit Neural Convolutional Kernels for Steerable CNNs.

Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa

CoRR, 2022

Continual learning autoencoder training for a particle-in-cell simulation via streaming.

Patrick Stiller, Varun Makdani, Franz Pöschel, Richard Pausch, Alexander Debus, Michael Bussmann, Nico Hoffmann

CoRR, 2022

Amortized Bayesian Inference of GISAXS Data with Normalizing Flows.

Maksim Zhdanov, Lisa Randolph, Thomas Kluge, Motoaki Nakatsutsumi, Christian Gutt, Marina Ganeva, Nico Hoffmann

CoRR, 2022

Learning Generative Factors of Neuroimaging Data with Variational auto-encoders.

Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann

CoRR, 2022

Acceptance Rates of Invertible Neural Networks on Electron Spectra from Near-Critical Laser-Plasmas: A Comparison.

Thomas Miethlinger, Nico Hoffmann, Thomas Kluge

Proceedings of the Parallel Processing and Applied Mathematics, 2022

Learning Generative Factors of EEG Data with Variational Auto-Encoders.

Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer.

Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions.

Yichao Liu, Zongru Shao, Nico Hoffmann

CoRR, 2021

NAM: Normalization-based Attention Module.

Yichao Liu, Zongru Shao, Yueyang Teng, Nico Hoffmann

CoRR, 2021

InFlow: Robust outlier detection utilizing Normalizing Flows.

Nishant Kumar, Pia Hanfeld, Michael Hecht, Michael Bussmann, Stefan Gumhold, Nico Hoffmann

CoRR, 2021

Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks.

Friedrich Bethke, Richard Pausch, Patrick Stiller, Alexander Debus, Michael Bussmann, Nico Hoffmann

CoRR, 2021

Data-Driven Shadowgraph Simulation of a 3D Object.

Anna Willmann, Patrick Stiller, Alexander Debus, Arie Irman, Richard Pausch, Yen-Yu Chang, Michael Bussmann, Nico Hoffmann

CoRR, 2021

2020

Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation.

Fan Zhang, Suheyla Cetin Karayumak, Nico Hoffmann, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell

Medical Image Anal., 2020

Large-Scale Neural Solvers for Partial Differential Equations.

Patrick Stiller, Friedrich Bethke, Maximilian Böhme, Richard Pausch, Sunna Torge, Alexander Debus, Jan Vorberger, Michael Bussmann, Nico Hoffmann

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Intraoperative thermographic perfusion mapping in neurosurgery using regularized semiparametric regression (Conference Presentation).

Juliane Müller, Nico Hoffmann, Martin Oelschlägel, Christian Schnabel, Gerald Steiner, Edmund Koch, Stephan B. Sobottka, Gabriele Schackert, Matthias Kirsch

Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas.

Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Deep White Matter Analysis: Fast, Consistent Tractography Segmentation Across Populations and dMRI Acquisitions.

Fan Zhang, Nico Hoffmann, Suheyla Cetin Karayumak, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Structural Similarity Based Anatomical and Functional Brain Imaging Fusion.

Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

2018

Fast Mapping of the Eloquent Cortex by Learning L2 Penalties.

Nico Hoffmann, Uwe Petersohn, Gabriele Schackert, Edmund Koch, Stefan Gumhold, Matthias Kirsch

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multilevel Interpolation for Feature-based Motion Correction in Neurosurgery.

Fang Chen, Jan Müller, Jens Müller, Elisa Böhl, Nico Hoffmann, Matthias Kirsch, Ronald Tetzlaff

Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

Convolutional Neural Networks for Epileptic Seizure Prediction.

Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff, Nico Hoffmann, Levin Kuhlmann, Benjamin H. Brinkmann, Jens Müller

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Dynamic Thermal Imaging for Intraoperative Monitoring of Neuronal Activity and Cortical Perfusion

Nico Hoffmann

PhD thesis, 2017

2016

Learning Thermal Process Representations for Intraoperative Analysis of Cortical Perfusion During Ischemic Strokes.

Nico Hoffmann, Edmund Koch, Gerald Steiner, Uwe Petersohn, Matthias Kirsch

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Incorporating MRI structural information into intraoperative functional thermography in neurosurgery.

Nico Hoffmann, Florian Weidner, Christian Schnabel, Edmund Koch, Gerald Steiner, Uwe Petersohn, Matthias Kirsch

Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016

2015

Motion correction of thermographic images in neurosurgery.

Vanessa Senger, Ronald Tetzlaff, Jens Müller, Nico Hoffmann, Julia Hollmach, Christian Schnabel, Yordan Radev, Matthias Kirsch, Uwe Petersohn, Gerald Steiner, Edmund Koch

Proceedings of the European Conference on Circuit Theory and Design, 2015

2014

Intraoperative imaging of cortical perfusion by time-resolved thermography using cold bolus approach.

Julia Hollmach, Christian Schnabel, Nico Hoffmann, Yordan Radev, Stephan B. Sobottka, Matthias Kirsch, Gabriele Schackert, Edmund Koch, Gerald Steiner

Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

Wavelet Subspace Analysis of Intraoperative Thermal Imaging for Motion Filtering.

Nico Hoffmann, Julia Hollmach, Christian Schnabel, Yordan Radev, Matthias Kirsch, Uwe Petersohn, Edmund Koch, Gerald Steiner

Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

Motion correction of thermographic images in neurosurgery: Performance comparison.

Vanessa Senger, Nico Hoffmann, Jens Müller, Julia Hollmach, Christian Schnabel, Yordan Radev, Jan Müller, Matthias Kirsch, Uwe Petersohn, Gerald Steiner, Edmund Koch, Ronald Tetzlaff

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014