Nico Hoffmann

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 32

Top Topics

Partial Differential Equations

Motion Correction

Top Venues

Medical Imaging: Image-Guided Procedures

Publications

Anna Willmann, Jurjen Couperus Cabadag, Yen-Yu Chang, Richard Pausch, Amin Ghaith, Alexander Debus, Arie Irman, Michael Bussmann, Ulrich Schramm, Nico Hoffmann
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows. CoRR (2023)
Chethan Krishnamurthy Ramanaik, Juan Esteban Suarez Cardona, Anna Willmann, Pia Hanfeld, Nico Hoffmann, Michael Hecht
Ensuring Topological Data-Structure Preservation under Autoencoder Compression due to Latent Space Regularization in Gauss-Legendre nodes. CoRR (2023)
Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa
Implicit Convolutional Kernels for Steerable CNNs. NeurIPS (2023)
Jeyhun Rustamov, Luisa Fennert, Nico Hoffmann
LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla's LiFePo4 EV Battery. CoRR (2022)
Maksim Zhdanov, Lisa Randolph, Thomas Kluge, Motoaki Nakatsutsumi, Christian Gutt, Marina Ganeva, Nico Hoffmann
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows. CoRR (2022)
Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer. CoRR (2022)
Patrick Stiller, Varun Makdani, Franz Pöschel, Richard Pausch, Alexander Debus, Michael Bussmann, Nico Hoffmann
Continual learning autoencoder training for a particle-in-cell simulation via streaming. CoRR (2022)
Thomas Miethlinger, Nico Hoffmann, Thomas Kluge
Acceptance Rates of Invertible Neural Networks on Electron Spectra from Near-Critical Laser-Plasmas: A Comparison. PPAM (2) (2022)
Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer. ICPR (2022)
Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
Learning Generative Factors of Neuroimaging Data with Variational auto-encoders. CoRR (2022)
Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa
Implicit Neural Convolutional Kernels for Steerable CNNs. CoRR (2022)
Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
Learning Generative Factors of EEG Data with Variational Auto-Encoders. DGM4MICCAI@MICCAI (2022)
Anna Willmann, Patrick Stiller, Alexander Debus, Arie Irman, Richard Pausch, Yen-Yu Chang, Michael Bussmann, Nico Hoffmann
Data-Driven Shadowgraph Simulation of a 3D Object. CoRR (2021)
Yichao Liu, Zongru Shao, Nico Hoffmann
Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions. CoRR (2021)
Nishant Kumar, Pia Hanfeld, Michael Hecht, Michael Bussmann, Stefan Gumhold, Nico Hoffmann
InFlow: Robust outlier detection utilizing Normalizing Flows. CoRR (2021)
Friedrich Bethke, Richard Pausch, Patrick Stiller, Alexander Debus, Michael Bussmann, Nico Hoffmann
Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks. CoRR (2021)
Yichao Liu, Zongru Shao, Yueyang Teng, Nico Hoffmann
NAM: Normalization-based Attention Module. CoRR (2021)
Juliane Müller, Nico Hoffmann, Martin Oelschlägel, Christian Schnabel, Gerald Steiner, Edmund Koch, Stephan B. Sobottka, Gabriele Schackert, Matthias Kirsch
Intraoperative thermographic perfusion mapping in neurosurgery using regularized semiparametric regression (Conference Presentation). Medical Imaging: Image-Guided Procedures (2020)
Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas. ISBI (2020)
Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas. CoRR (2020)
Patrick Stiller, Friedrich Bethke, Maximilian Böhme, Richard Pausch, Sunna Torge, Alexander Debus, Jan Vorberger, Michael Bussmann, Nico Hoffmann
Large-Scale Neural Solvers for Partial Differential Equations. SMC (2020)
Fan Zhang, Suheyla Cetin Karayumak, Nico Hoffmann, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell
Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation. Medical Image Anal. 65 (2020)
Patrick Stiller, Friedrich Bethke, Maximilian Böhme, Richard Pausch, Sunna Torge, Alexander Debus, Jan Vorberger, Michael Bussmann, Nico Hoffmann
Large-scale Neural Solvers for Partial Differential Equations. CoRR (2020)
Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold
Structural Similarity Based Anatomical and Functional Brain Imaging Fusion. MBIA/MFCA@MICCAI (2019)
Fan Zhang, Nico Hoffmann, Suheyla Cetin Karayumak, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell
Deep White Matter Analysis: Fast, Consistent Tractography Segmentation Across Populations and dMRI Acquisitions. MICCAI (3) (2019)
Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold
Structural Similarity based Anatomical and Functional Brain Imaging Fusion. CoRR (2019)
Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff, Nico Hoffmann, Levin Kuhlmann, Benjamin H. Brinkmann, Jens Müller
Convolutional Neural Networks for Epileptic Seizure Prediction. CoRR (2018)
Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff, Nico Hoffmann, Levin Kuhlmann, Benjamin H. Brinkmann, Jens Müller
Convolutional Neural Networks for Epileptic Seizure Prediction. BIBM (2018)
Fang Chen, Jan Müller, Jens Müller, Elisa Bohl, Nico Hoffmann, Matthias Kirsch, Ronald Tetzlaff
Multilevel Interpolation for Feature-based Motion Correction in Neurosurgery. BioCAS (2018)
Nico Hoffmann, Uwe Petersohn, Gabriele Schackert, Edmund Koch, Stefan Gumhold, Matthias Kirsch
Fast Mapping of the Eloquent Cortex by Learning L2 Penalties. MICCAI (3) (2018)
Nico Hoffmann, Edmund Koch, Gerald Steiner, Uwe Petersohn, Matthias Kirsch
Learning Thermal Process Representations for Intraoperative Analysis of Cortical Perfusion During Ischemic Strokes. LABELS/DLMIA@MICCAI (2016)
Nico Hoffmann, Florian Weidner, Christian Schnabel, Edmund Koch, Gerald Steiner, Uwe Petersohn, Matthias Kirsch
Incorporating MRI structural information into intraoperative functional thermography in neurosurgery. CURAC (2016)
Vanessa Senger, Ronald Tetzlaff, Jens Müller, Nico Hoffmann, Julia Hollmach, Christian Schnabel, Yordan Radev, Matthias Kirsch, Uwe Petersohn, Gerald Steiner, Edmund Koch
Motion correction of thermographic images in neurosurgery. ECCTD (2015)
Julia Hollmach, Christian Schnabel, Nico Hoffmann, Yordan Radev, Stephan B. Sobottka, Matthias Kirsch, Gabriele Schackert, Edmund Koch, Gerald Steiner
Intraoperative imaging of cortical perfusion by time-resolved thermography using cold bolus approach. Medical Imaging: Image-Guided Procedures (2014)
Nico Hoffmann, Julia Hollmach, Christian Schnabel, Yordan Radev, Matthias Kirsch, Uwe Petersohn, Edmund Koch, Gerald Steiner
Wavelet Subspace Analysis of Intraoperative Thermal Imaging for Motion Filtering. ICIAR (2) (2014)
Vanessa Senger, Nico Hoffmann, Jens Müller, Julia Hollmach, Christian Schnabel, Yordan Radev, Jan Müller, Matthias Kirsch, Uwe Petersohn, Gerald Steiner, Edmund Koch, Ronald Tetzlaff
Motion correction of thermographic images in neurosurgery: Performance comparison. BioCAS (2014)