Motion correction of thermographic images in neurosurgery: Performance comparison. - Vanessa Senger; Nico Hoffmann; Jens Müller 006; Julia Hollmach; Christian Schnabel; Yordan Radev; Jan Müller 001; Matthias Kirsch; Uwe Petersohn; Gerald Steiner; Edmund Koch; Ronald Tetzlaff (BioCAS, 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 (ICIAR (2), 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 (Image-Guided Procedures, 2014)

Motion correction of thermographic images in neurosurgery. - Vanessa Senger; Ronald Tetzlaff; Jens Müller 006; Nico Hoffmann; Julia Hollmach; Christian Schnabel; Yordan Radev; Matthias Kirsch; Uwe Petersohn; Gerald Steiner; Edmund Koch (ECCTD, 2015)

Incorporating MRI structural information into intraoperative functional thermography in neurosurgery. - Nico Hoffmann; Florian Weidner; Christian Schnabel; Edmund Koch; Gerald Steiner; Uwe Petersohn; Matthias Kirsch (CURAC, 2016)

Learning Thermal Process Representations for Intraoperative Analysis of Cortical Perfusion During Ischemic Strokes. - Nico Hoffmann; Edmund Koch; Gerald Steiner; Uwe Petersohn; Matthias Kirsch (LABELS/DLMIA@MICCAI, 2016)

Dynamic Thermal Imaging for Intraoperative Monitoring of Neuronal Activity and Cortical Perfusion - Nico Hoffmann (2017)

Convolutional Neural Networks for Epileptic Seizure Prediction. - Matthias Eberlein; Raphael Hildebrand; Ronald Tetzlaff; Nico Hoffmann; Levin Kuhlmann; Benjamin H. Brinkmann; Jens Müller 006 (BIBM, 2018)

Multilevel Interpolation for Feature-based Motion Correction in Neurosurgery. - Fang Chen 005; Jan Müller 001; Jens Müller 006; Elisa Böhl; Nico Hoffmann; Matthias Kirsch; Ronald Tetzlaff (BioCAS, 2018)

Fast Mapping of the Eloquent Cortex by Learning L2 Penalties. - Nico Hoffmann; Uwe Petersohn; Gabriele Schackert; Edmund Koch; Stefan Gumhold; Matthias Kirsch (MICCAI (3), 2018)

Structural Similarity Based Anatomical and Functional Brain Imaging Fusion. - Nishant Kumar 005; Nico Hoffmann; Martin Oelschlägel; Edmund Koch; Matthias Kirsch; Stefan Gumhold (MBIA/MFCA@MICCAI, 2019)

Deep White Matter Analysis: Fast, Consistent Tractography Segmentation Across Populations and dMRI Acquisitions. - Fan Zhang 013; Nico Hoffmann; Suheyla Cetin Karayumak; Yogesh Rathi; Alexandra J. Golby; Lauren J. O'Donnell (MICCAI (3), 2019)

Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas. - Nishant Kumar 005; Nico Hoffmann; Matthias Kirsch; Stefan Gumhold (ISBI, 2020)

Intraoperative thermographic perfusion mapping in neurosurgery using regularized semiparametric regression (Conference Presentation). - Juliane Müller 001; Nico Hoffmann; Martin Oelschlägel; Christian Schnabel; Gerald Steiner; Edmund Koch; Stephan B. Sobottka; Gabriele Schackert; Matthias Kirsch (Image-Guided Procedures, 2020)

Large-Scale Neural Solvers for Partial Differential Equations. - Patrick Stiller; Friedrich Bethke; Maximilian Böhme; Richard Pausch; Sunna Torge 001; Alexander Debus; Jan Vorberger; Michael Bussmann; Nico Hoffmann (SMC, 2020)

Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation. - Fan Zhang 013; Suheyla Cetin Karayumak; Nico Hoffmann; Yogesh Rathi; Alexandra J. Golby; Lauren J. O'Donnell (Medical Image Anal., 2020)

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)

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)

InFlow: Robust outlier detection utilizing Normalizing Flows. - Nishant Kumar 005; Pia Hanfeld; Michael Hecht; Michael Bussmann; Stefan Gumhold; Nico Hoffmann (CoRR, 2021)

NAM: Normalization-based Attention Module. - Yichao Liu; Zongru Shao; Yueyang Teng; Nico Hoffmann (CoRR, 2021)

Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions. - Yichao Liu; Zongru Shao; Nico Hoffmann (CoRR, 2021)

Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer. - Maksim Zhdanov 001; Saskia Steinmann; Nico Hoffmann (ICPR, 2022)

Learning Generative Factors of EEG Data with Variational Auto-Encoders. - Maksim Zhdanov 001; Saskia Steinmann; Nico Hoffmann (DGM4MICCAI@MICCAI, 2022)

Acceptance Rates of Invertible Neural Networks on Electron Spectra from Near-Critical Laser-Plasmas: A Comparison. - Thomas Miethlinger; Nico Hoffmann; Thomas Kluge (PPAM (2), 2022)

Learning Generative Factors of Neuroimaging Data with Variational auto-encoders. - Maksim Zhdanov 001; Saskia Steinmann; Nico Hoffmann (CoRR, 2022)

Amortized Bayesian Inference of GISAXS Data with Normalizing Flows. - Maksim Zhdanov 001; Lisa Randolph; Thomas Kluge; Motoaki Nakatsutsumi; Christian Gutt; Marina Ganeva; Nico Hoffmann (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)

Implicit Neural Convolutional Kernels for Steerable CNNs. - Maksim Zhdanov 001; Nico Hoffmann; Gabriele Cesa (CoRR, 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 Convolutional Kernels for Steerable CNNs. - Maksim Zhdanov 001; Nico Hoffmann; Gabriele Cesa (NeurIPS, 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)

Ensuring Topological Data-Structure Preservation under Autoencoder Compression Due to Latent Space Regularization in Gauss-Legendre Nodes. - Chethan Krishnamurthy Ramanaik; Anna Willmann; Juan Esteban Suarez Cardona; Pia Hanfeld; Nico Hoffmann; Michael Hecht (Axioms, 2024)