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Nico Hoffmann
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2020 – today
- 2024
- [j2]Chethan Krishnamurthy Ramanaik
, Anna Willmann
Ensuring Topological Data-Structure Preservation under Autoencoder Compression Due to Latent Space Regularization in Gauss-Legendre Nodes. Axioms 13(8): 535 (2024) - 2023
- [c18]Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa:
Implicit Convolutional Kernels for Steerable CNNs. NeurIPS 2023 - [i17]Anna Willmann, Jurjen Couperus Cabadag, Yen-Yu Chang, Richard Pausch, Amin Ghaith, Alexander Debus, Arie Irman
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows. CoRR abs/2303.00657 (2023) - [i16]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 abs/2309.08228 (2023) - 2022
- [c17]Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann:
Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer. ICPR 2022: 5155-5161 - [c16]Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann:
Learning Generative Factors of EEG Data with Variational Auto-Encoders. DGM4MICCAI@MICCAI 2022: 45-54 - [c15]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: 273-284 - [i15]Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann:
Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer. CoRR abs/2206.01930 (2022) - [i14]Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann:
Learning Generative Factors of Neuroimaging Data with Variational auto-encoders. CoRR abs/2206.01939 (2022) - [i13]Maksim Zhdanov, Lisa Randolph
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows. CoRR abs/2210.01543 (2022) - [i12]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 abs/2211.04770 (2022) - [i11]Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa:
Implicit Neural Convolutional Kernels for Steerable CNNs. CoRR abs/2212.06096 (2022) - [i10]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 abs/2212.08403 (2022) - 2021
- [i9]Anna Willmann, Patrick Stiller, Alexander Debus
Data-Driven Shadowgraph Simulation of a 3D Object. CoRR abs/2106.00317 (2021) - [i8]Friedrich Bethke, Richard Pausch, Patrick Stiller, Alexander Debus
Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks. CoRR abs/2106.00432 (2021) - [i7]Nishant Kumar
InFlow: Robust outlier detection utilizing Normalizing Flows. CoRR abs/2106.12894 (2021) - [i6]Yichao Liu, Zongru Shao, Yueyang Teng, Nico Hoffmann:
NAM: Normalization-based Attention Module. CoRR abs/2111.12419 (2021) - [i5]Yichao Liu, Zongru Shao, Nico Hoffmann:
Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions. CoRR abs/2112.05561 (2021) - 2020
- [j1]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: 101761 (2020) - [c14]Nishant Kumar
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas. ISBI 2020: 1-5 - [c13]Juliane Müller
Intraoperative thermographic perfusion mapping in neurosurgery using regularized semiparametric regression (Conference Presentation). Medical Imaging: Image-Guided Procedures 2020: 113150N - [c12]Patrick Stiller, Friedrich Bethke, Maximilian Böhme
Large-Scale Neural Solvers for Partial Differential Equations. SMC 2020: 20-34 - [i4]Nishant Kumar
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas. CoRR abs/2001.09535 (2020) - [i3]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 abs/2009.03730 (2020)
2010 – 2019
- 2019
- [c11]Nishant Kumar
Structural Similarity Based Anatomical and Functional Brain Imaging Fusion. MBIA/MFCA@MICCAI 2019: 121-129 - [c10]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: 599-608 - [i2]Nishant Kumar
Structural Similarity based Anatomical and Functional Brain Imaging Fusion. CoRR abs/1908.03958 (2019) - 2018
- [c9]Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff
Convolutional Neural Networks for Epileptic Seizure Prediction. BIBM 2018: 2577-2582 - [c8]Fang Chen, Jan Müller, Jens Müller, Elisa Böhl, Nico Hoffmann, Matthias Kirsch, Ronald Tetzlaff
Multilevel Interpolation for Feature-based Motion Correction in Neurosurgery. BioCAS 2018: 1-4 - [c7]Nico Hoffmann, Uwe Petersohn, Gabriele Schackert, Edmund Koch
Fast Mapping of the Eloquent Cortex by Learning L2 Penalties. MICCAI (3) 2018: 341-348 - [i1]Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff, Nico Hoffmann, Levin Kuhlmann, Benjamin H. Brinkmann, Jens Müller:
Convolutional Neural Networks for Epileptic Seizure Prediction. CoRR abs/1811.00915 (2018) - 2017
- [b1]Nico Hoffmann:
Dynamic Thermal Imaging for Intraoperative Monitoring of Neuronal Activity and Cortical Perfusion. University of Dresden, Germany, 2017 - 2016
- [c6]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: 284-289 - [c5]Nico Hoffmann, Edmund Koch
Learning Thermal Process Representations for Intraoperative Analysis of Cortical Perfusion During Ischemic Strokes. LABELS/DLMIA@MICCAI 2016: 152-160 - 2015
- [c4]Vanessa Senger, Ronald Tetzlaff
Motion correction of thermographic images in neurosurgery. ECCTD 2015: 1-4 - 2014
- [c3]Vanessa Senger, Nico Hoffmann, Jens Müller, Julia Hollmach, Christian Schnabel, Yordan Radev, Jan Müller, Matthias Kirsch, Uwe Petersohn, Gerald Steiner, Edmund Koch
Motion correction of thermographic images in neurosurgery: Performance comparison. BioCAS 2014: 121-124 - [c2]Nico Hoffmann, Julia Hollmach, Christian Schnabel, Yordan Radev, Matthias Kirsch, Uwe Petersohn, Edmund Koch
Wavelet Subspace Analysis of Intraoperative Thermal Imaging for Motion Filtering. ICIAR (2) 2014: 411-420 - [c1]Julia Hollmach, Christian Schnabel, Nico Hoffmann, Yordan Radev, Stephan B. Sobottka, Matthias Kirsch, Gabriele Schackert, Edmund Koch
Intraoperative imaging of cortical perfusion by time-resolved thermography using cold bolus approach. Medical Imaging: Image-Guided Procedures 2014: 903627
Coauthor Index
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last updated on 2024-10-23 20:32 CEST by the dblp team
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