Nico Hoffmann - RankMe

38 papers A* 1B 2Journal 19Unranked 15

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Ensuring Topological Data-Structure Preservation under Autoencoder Compression Due to Latent Space Regularization in Gauss-Legendre Nodes. Axioms Chethan Krishnamurthy Ramanaik, Anna Willmann, Juan Esteban Suarez Cardona, Pia Hanfeld, Nico Hoffmann, Michael Hecht
2023	J	`jnl`	Ensuring Topological Data-Structure Preservation under Autoencoder Compression due to Latent Space Regularization in Gauss-Legendre nodes. CoRR Chethan Krishnamurthy Ramanaik, Juan Esteban Suarez Cardona, Anna Willmann, Pia Hanfeld, Nico Hoffmann, Michael Hecht
2023	A*	`conf`	Implicit Convolutional Kernels for Steerable CNNs. NeurIPS Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa
2023	J	`jnl`	Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows. CoRR Anna Willmann, Jurjen Couperus Cabadag, Yen-Yu Chang, Richard Pausch, Amin Ghaith, Alexander Debus, Arie Irman, Michael Bussmann, Ulrich Schramm, Nico Hoffmann
2022	—	`conf`	Acceptance Rates of Invertible Neural Networks on Electron Spectra from Near-Critical Laser-Plasmas: A Comparison. PPAM (2) Thomas Miethlinger, Nico Hoffmann, Thomas Kluge
2022	J	`jnl`	Amortized Bayesian Inference of GISAXS Data with Normalizing Flows. CoRR Maksim Zhdanov, Lisa Randolph, Thomas Kluge, Motoaki Nakatsutsumi, Christian Gutt, Marina Ganeva, Nico Hoffmann
2022	J	`jnl`	Continual learning autoencoder training for a particle-in-cell simulation via streaming. CoRR Patrick Stiller, Varun Makdani, Franz Pöschel, Richard Pausch, Alexander Debus, Michael Bussmann, Nico Hoffmann
2022	J	`jnl`	Implicit Neural Convolutional Kernels for Steerable CNNs. CoRR Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa
2022	B	`conf`	Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer. ICPR Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
2022	J	`jnl`	Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer. CoRR Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
2022	—	`conf`	Learning Generative Factors of EEG Data with Variational Auto-Encoders. DGM4MICCAI@MICCAI Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
2022	J	`jnl`	Learning Generative Factors of Neuroimaging Data with Variational auto-encoders. CoRR Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
2022	J	`jnl`	LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla's LiFePo4 EV Battery. CoRR Jeyhun Rustamov, Luisa Fennert, Nico Hoffmann
2021	J	`jnl`	Data-Driven Shadowgraph Simulation of a 3D Object. CoRR Anna Willmann, Patrick Stiller, Alexander Debus, Arie Irman, Richard Pausch, Yen-Yu Chang, Michael Bussmann, Nico Hoffmann
2021	J	`jnl`	Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions. CoRR Yichao Liu, Zongru Shao, Nico Hoffmann
2021	J	`jnl`	InFlow: Robust outlier detection utilizing Normalizing Flows. CoRR Nishant Kumar, Pia Hanfeld, Michael Hecht, Michael Bussmann, Stefan Gumhold, Nico Hoffmann
2021	J	`jnl`	Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks. CoRR Friedrich Bethke, Richard Pausch, Patrick Stiller, Alexander Debus, Michael Bussmann, Nico Hoffmann
2021	J	`jnl`	NAM: Normalization-based Attention Module. CoRR Yichao Liu, Zongru Shao, Yueyang Teng, Nico Hoffmann
2020	J	`jnl`	Deep white matter analysis (DeepWMA): Fast and consistent tractography segmentation. Medical Image Anal. Fan Zhang, Suheyla Cetin Karayumak, Nico Hoffmann, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell
2020	—	`conf`	Intraoperative thermographic perfusion mapping in neurosurgery using regularized semiparametric regression (Conference Presentation). Image-Guided Procedures Juliane Müller, Nico Hoffmann, Martin Oelschlägel, Christian Schnabel, Gerald Steiner, Edmund Koch, Stephan B. Sobottka, Gabriele Schackert, Matthias Kirsch
2020	B	`conf`	Large-Scale Neural Solvers for Partial Differential Equations. SMC Patrick Stiller, Friedrich Bethke, Maximilian Böhme, Richard Pausch, Sunna Torge, Alexander Debus, Jan Vorberger, Michael Bussmann, Nico Hoffmann
2020	J	`jnl`	Large-scale Neural Solvers for Partial Differential Equations. CoRR Patrick Stiller, Friedrich Bethke, Maximilian Böhme, Richard Pausch, Sunna Torge, Alexander Debus, Jan Vorberger, Michael Bussmann, Nico Hoffmann
2020	—	`conf`	Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas. ISBI Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold
2020	J	`jnl`	Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas. CoRR Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold
2019	—	`conf`	Deep White Matter Analysis: Fast, Consistent Tractography Segmentation Across Populations and dMRI Acquisitions. MICCAI (3) Fan Zhang, Nico Hoffmann, Suheyla Cetin Karayumak, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell
2019	—	`conf`	Structural Similarity Based Anatomical and Functional Brain Imaging Fusion. MBIA/MFCA@MICCAI Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold
2019	J	`jnl`	Structural Similarity based Anatomical and Functional Brain Imaging Fusion. CoRR Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold
2018	—	`conf`	Convolutional Neural Networks for Epileptic Seizure Prediction. BIBM Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff, Nico Hoffmann, Levin Kuhlmann, Benjamin H. Brinkmann, Jens Müller
2018	J	`jnl`	Convolutional Neural Networks for Epileptic Seizure Prediction. CoRR Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff, Nico Hoffmann, Levin Kuhlmann, Benjamin H. Brinkmann, Jens Müller
2018	—	`conf`	Fast Mapping of the Eloquent Cortex by Learning L2 Penalties. MICCAI (3) Nico Hoffmann, Uwe Petersohn, Gabriele Schackert, Edmund Koch, Stefan Gumhold, Matthias Kirsch
2018	—	`conf`	Multilevel Interpolation for Feature-based Motion Correction in Neurosurgery. BioCAS Fang Chen, Jan Müller, Jens Müller, Elisa Böhl, Nico Hoffmann, Matthias Kirsch, Ronald Tetzlaff
2017	—	`—`	Dynamic Thermal Imaging for Intraoperative Monitoring of Neuronal Activity and Cortical Perfusion Nico Hoffmann
2016	—	`conf`	Incorporating MRI structural information into intraoperative functional thermography in neurosurgery. CURAC Nico Hoffmann, Florian Weidner, Christian Schnabel, Edmund Koch, Gerald Steiner, Uwe Petersohn, Matthias Kirsch
2016	—	`conf`	Learning Thermal Process Representations for Intraoperative Analysis of Cortical Perfusion During Ischemic Strokes. LABELS/DLMIA@MICCAI Nico Hoffmann, Edmund Koch, Gerald Steiner, Uwe Petersohn, Matthias Kirsch
2015	—	`conf`	Motion correction of thermographic images in neurosurgery. ECCTD Vanessa Senger, Ronald Tetzlaff, Jens Müller, Nico Hoffmann, Julia Hollmach, Christian Schnabel, Yordan Radev, Matthias Kirsch, Uwe Petersohn, Gerald Steiner, Edmund Koch
2014	—	`conf`	Intraoperative imaging of cortical perfusion by time-resolved thermography using cold bolus approach. Image-Guided Procedures Julia Hollmach, Christian Schnabel, Nico Hoffmann, Yordan Radev, Stephan B. Sobottka, Matthias Kirsch, Gabriele Schackert, Edmund Koch, Gerald Steiner
2014	—	`conf`	Motion correction of thermographic images in neurosurgery: Performance comparison. BioCAS Vanessa Senger, Nico Hoffmann, Jens Müller, Julia Hollmach, Christian Schnabel, Yordan Radev, Jan Müller, Matthias Kirsch, Uwe Petersohn, Gerald Steiner, Edmund Koch, Ronald Tetzlaff
2014	—	`conf`	Wavelet Subspace Analysis of Intraoperative Thermal Imaging for Motion Filtering. ICIAR (2) Nico Hoffmann, Julia Hollmach, Christian Schnabel, Yordan Radev, Matthias Kirsch, Uwe Petersohn, Edmund Koch, Gerald Steiner