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Benjamin Risse
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- affiliation: University of Münster, Faculty of Mathematics and Computer Science, Germany
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2020 – today
- 2025
- [j13]Maiken Baumberger
, Bettina Haas
Gated recurrent units for modelling time series of soil temperature and moisture: An assessment of performance and process reflectivity. Environ. Model. Softw. 183: 106245 (2025) - 2024
- [j12]Lukas Fisch
deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks. Comput. Biol. Medicine 179: 108845 (2024) - [j11]Pascal Kockwelp
VR-based Competence Training at Scale: Teaching Clinical Skills in the Context of Virtual Brain Death Examination. Proc. ACM Hum. Comput. Interact. 8(EICS): 1-31 (2024) - [c18]Marlon Becker, Marco Butz, David Lemli, Carsten Schuck, Benjamin Risse:
Learning Proposal Distributions in Simulated Annealing via Template Networks: A Case Study in Nanophotonic Inverse Design. ICPR (8) 2024: 188-202 - [c17]Lars Haalck, Benjamin Risse:
Solving the Plane-Sphere Ambiguity in Top-Down Structure-from-Motion. WACV 2024: 3473-3481 - [c16]Lars Haalck, Sebastian Thiele, Benjamin Risse:
Tracking Tiny Insects in Cluttered Natural Environments using Refinable Recurrent Neural Networks. WACV 2024: 7111-7120 - [c15]Eike Gebauer, Sebastian Thiele, Pierre Ouvrard, Adrien Sicard, Benjamin Risse:
Towards a Dynamic Vision Sensor-based Insect Camera Trap. WACV 2024: 7142-7151 - [i15]Marlon Becker, Frederick Altrock, Benjamin Risse:
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead. CoRR abs/2401.12033 (2024) - [i14]Christian Porschen, Jan Ernsting, Paul Brauckmann, Raphael Weiss, Till Würdemann, Hendrik Booke, Wida Amini, Ludwig Maidowski, Benjamin Risse, Tim Hahn, Thilo Caspar von Groote:
pyAKI - An Open Source Solution to Automated KDIGO classification. CoRR abs/2401.12930 (2024) - [i13]Simon Boeder, Fabian Gigengack, Benjamin Risse:
OccFlowNet: Towards Self-supervised Occupancy Estimation via Differentiable Rendering and Occupancy Flow. CoRR abs/2402.12792 (2024) - [i12]Simon Boeder, Fabian Gigengack, Benjamin Risse:
LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering. CoRR abs/2407.17310 (2024) - [i11]Lukas Fisch, Nils R. Winter, Janik Goltermann, Carlotta B. C. Barkhau, Daniel Emden, Jan Ernsting, Maximilian Konowski, Ramona Leenings, Tiana Borgers, Kira Flinkenflügel, Dominik Grotegerd, Anna Kraus, Elisabeth J. Leehr, Susanne Meinert, Frederike Stein, Lea Teutenberg, Florian Thomas-Odenthal, Paula Usemann, Marco Hermesdorf, Hamidreza Jamalabadi, Andreas Jansen, Igor Nenadic, Benjamin Straube, Tilo Kircher, Klaus Berger, Benjamin Risse, Udo Dannlowski, Tim Hahn:
deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks. CoRR abs/2408.10656 (2024) - [i10]Jan Ernsting, Phillip Nikolas Beeken, Lynn Ogoniak, Jacqueline Kockwelp, Tim Hahn, Alexander Siegfried Busch, Benjamin Risse:
Towards Population Scale Testis Volume Segmentation in DIXON MRI. CoRR abs/2410.22866 (2024) - 2023
- [j10]Marlon Becker, Jan Riegelmeyer, Maximilian David Seyfried, Bart Jan Ravoo, Carsten Schuck
Adaptive Photochemical Nonlinearities for Optical Neural Networks. Adv. Intell. Syst. 5(12) (2023) - [c14]Jacqueline Kockwelp, Jörg Gromoll, Joachim Wistuba, Benjamin Risse:
EyeGuide - From Gaze Data to Instance Segmentation. BMVC 2023: 719-720 - [c13]Daniel Beckmann, Jacqueline Kockwelp, Jörg Gromoll, Friedemann Kiefer, Benjamin Risse:
SAM meets Gaze: Passive Eye Tracking for Prompt-based Instance Segmentation. Gaze Meets ML 2023: 21-39 - [i9]Jan Ernsting, Nils R. Winter, Ramona Leenings, Kelvin Sarink, Carlotta B. C. Barkhau, Lukas Fisch, Daniel Emden, Vincent Holstein, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, NAKO Investigators, Klaus Berger, Benjamin Risse, Udo Dannlowski, Tim Hahn:
From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling. CoRR abs/2302.05304 (2023) - [i8]Lukas Fisch, Stefan Zumdick, Carlotta B. C. Barkhau, Daniel Emden, Jan Ernsting, Ramona Leenings, Kelvin Sarink, Nils R. Winter, Benjamin Risse, Udo Dannlowski, Tim Hahn:
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks. CoRR abs/2308.07003 (2023) - 2022
- [c12]Jacqueline Kockwelp, Sebastian Thiele, Pascal Kockwelp, Jannis Bartsch, Christoph Schliemann, Linus Angenendt
Cell Selection-based Data Reduction Pipeline for Whole Slide Image Analysis of Acute Myeloid Leukemia. CVPR Workshops 2022: 1824-1833 - [c11]Sebastian Thiele, Benjamin Risse:
Narrowing Attention in Capsule Networks. ICPR 2022: 2679-2685 - [c10]Pascal Kockwelp, Anna Junga
Towards VR Simulation-Based Training in Brain Death Determination. VR Workshops 2022: 287-292 - 2021
- [j9]Ang Bian, Xiaoyi Jiang
Resolving Colliding Larvae by Fitting ASM to Random Walker-Based Pre-Segmentations. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1184-1194 (2021) - [c9]Dimitar Valkov, Sebastian Thiele, Karim Huesmann, Eike Gebauer, Benjamin Risse
Touch Recognition on Complex 3D Printed Surfaces using Filter Response Analysis. VR Workshops 2021: 195-200 - [c8]Lars Haalck
Embedded Dense Camera Trajectories in Multi-Video Image Mosaics by Geodesic Interpolation-based Reintegration. WACV 2021: 1848-1857 - [i7]Lukas Fisch, Jan Ernsting
Predicting brain-age from raw T1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks. CoRR abs/2103.11695 (2021) - [i6]Karim Huesmann, Luis Garcia Rodriguez, Lars Linsen, Benjamin Risse:
The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks. CoRR abs/2104.06153 (2021) - [i5]Tim Hahn, Jan Ernsting, Nils R. Winter, Vincent Holstein, Ramona Leenings, Marie Beisemann, Lukas Fisch, Kelvin Sarink, Daniel Emden, Nils Opel, Ronny Redlich, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, Jochen G. Hirsch, Thoralf Niendorf, Beate Endemann, Fabian Bamberg, Thomas Kröncke, Robin Bülow, Henry Völzke, Oyunbileg von Stackelberg, Ramona Felizitas Sowade, Lale Umutlu, Börge Schmidt, Svenja Caspers, Harald Kugel, Tilo Kircher, Benjamin Risse, Christian Gaser, James H. Cole, Udo Dannlowski, Klaus Berger:
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling. CoRR abs/2107.07977 (2021) - [i4]Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant Van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Y. Berger-Wolf:
Seeing biodiversity: perspectives in machine learning for wildlife conservation. CoRR abs/2110.12951 (2021) - 2020
- [c7]Torsten Hiltmann, Sebastian Thiele, Benjamin Risse:
Friends with Benefits: Wie Deep-Learning basierte Bildanalyse und kulturhistorische Heraldik voneinander profitieren. DHd 2020 - [c6]Karim Huesmann, Luis Garcia Rodriguez, Lars Linsen, Benjamin Risse:
The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks. ICPR Workshops (3) 2020: 130-145 - [i3]Ramona Leenings, Nils Ralf Winter, Lucas Plagwitz, Vincent Holstein
PHOTON - A Python API for Rapid Machine Learning Model Development. CoRR abs/2002.05426 (2020) - [i2]Karim Huesmann, Sören Klemm, Lars Linsen, Benjamin Risse:
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization. CoRR abs/2002.09237 (2020)
2010 – 2019
- 2019
- [j8]Evripidis Gkanias
From skylight input to behavioural output: A computational model of the insect polarised light compass. PLoS Comput. Biol. 15(7) (2019) - 2018
- [j7]Dimitri Berh, Aaron Scherzinger, Nils Otto
Automatic non-invasive heartbeat quantification of Drosophila pupae. Comput. Biol. Medicine 93: 189-199 (2018) - [j6]Benjamin Risse
Software to convert terrestrial LiDAR scans of natural environments into photorealistic meshes. Environ. Model. Softw. 99: 88-100 (2018) - [c5]Sören Klemm, Xiaoyi Jiang
Deep Distance Transform to Segment Visually Indistinguishable Merged Objects. GCPR 2018: 422-433 - 2017
- [j5]Benjamin Risse
FIMTrack: An open source tracking and locomotion analysis software for small animals. PLoS Comput. Biol. 13(5) (2017) - [j4]Benjamin Risse, Nils Otto, Dimitri Berh, Xiaoyi Jiang
FIM2c: Multicolor, Multipurpose Imaging System to Manipulate and Analyze Animal Behavior. IEEE Trans. Biomed. Eng. 64(3): 610-620 (2017) - [j3]Dimitri Berh, Benjamin Risse, Tim Michels, Nils Otto
An FIM-Based Long-Term In-Vial Monitoring System for Drosophila Larvae. IEEE Trans. Biomed. Eng. 64(8): 1862-1874 (2017) - [c4]Benjamin Risse, Michael Mangan
Visual Tracking of Small Animals in Cluttered Natural Environments Using a Freely Moving Camera. ICCV Workshops 2017: 2840-2849 - 2015
- [b1]Benjamin Risse:
FIM imaging and the analysis of Drosophila locomotion. Universität Münster, 2015, pp. I-XII, 1-209 - [j2]Benjamin Risse, Dimitri Berh, Nils Otto, Xiaoyi Jiang
Quantifying subtle locomotion phenotypes of Drosophila larvae using internal structures based on FIM images. Comput. Biol. Medicine 63: 269-276 (2015) - 2013
- [j1]Benjamin Risse, Dimitri Berh, Junli Tao, Xiaoyi Jiang, Reinhard Klette, Christian Klämbt:
Comparison of two 3D tracking paradigms for freely flying insects. EURASIP J. Image Video Process. 2013: 57 (2013) - [c3]Xiaoyi Jiang
Biomedical Imaging: A Computer Vision Perspective. CAIP (1) 2013: 1-19 - [c2]Junli Tao, Benjamin Risse, Xiaoyi Jiang
Stereo and Motion Based 3D High Density Object Tracking. PSIVT 2013: 136-148 - [i1]Benjamin Risse, Xiaoyi Jiang, Christian Klämbt:
FIM: Frustrated Total Internal Reflection Based Imaging for Biomedical Applications. ERCIM News 2013(95) (2013) - 2012
- [c1]Junli Tao, Benjamin Risse, Xiaoyi Jiang
3D trajectory estimation of simulated fruit flies. IVCNZ 2012: 31-36
Coauthor Index
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