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ORCIDBenjamin Risse
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- affiliation: University of Münster, Faculty of Mathematics and Computer Science, Germany
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2020 – today
- 2023
[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, Benjamin Risse
:
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, Dimitar Valkov, Bernhard Marschall, Markus Holling, Benjamin Risse:
Towards VR Simulation-Based Training in Brain Death Determination. VR Workshops 2022: 287-292 - 2021
- [j9]Ang Bian, Xiaoyi Jiang, Dimitri Berh, Benjamin Risse:
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, Benjamin Risse:
Embedded Dense Camera Trajectories in Multi-Video Image Mosaics by Geodesic Interpolation-based Reintegration. WACV 2021: 1848-1857 - [i7]Lukas Fisch, Jan Ernsting, Nils R. Winter, Vincent Holstein, Ramona Leenings, Marie Beisemann, Kelvin Sarink, Daniel Emden, Nils Opel, Ronny Redlich, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, Niklas Wulms, Heike Minnerup, Jochen G. Hirsch, Thoralf Niendorf, Beate Endemann, Fabian Bamberg, Thomas Kröncke, Annette Peters, Robin Bülow, Henry Völzke, Oyunbileg von Stackelberg, Ramona Felizitas Sowade, Lale Umutlu, Börge Schmidt, Svenja Caspers, Harald Kugel, Bernhard T. Baune, Tilo Kircher, Benjamin Risse, Udo Dannlowski, Klaus Berger, Tim Hahn:
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, Jan Ernsting, Jakob Steenweg, Julian Gebker, Kelvin Sarink, Daniel Emden, Dominik Grotegerd, Nils Opel, Benjamin Risse, Xiaoyi Jiang, Udo Dannlowski, Tim Hahn:
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, Benjamin Risse, Michael Mangan, Barbara Webb:
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, Xiaoyi Jiang, Christian Klämbt, Benjamin Risse:
Automatic non-invasive heartbeat quantification of Drosophila pupae. Comput. Biol. Medicine 93: 189-199 (2018) - [j6]Benjamin Risse, Michael Mangan, Wolfgang Stürzl, Barbara Webb:
Software to convert terrestrial LiDAR scans of natural environments into photorealistic meshes. Environ. Model. Softw. 99: 88-100 (2018) - [c5]Sören Klemm, Xiaoyi Jiang, Benjamin Risse:
Deep Distance Transform to Segment Visually Indistinguishable Merged Objects. GCPR 2018: 422-433 - 2017
- [j5]Benjamin Risse, Dimitri Berh, Nils Otto, Christian Klämbt, Xiaoyi Jiang:
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, Matthias Kiel, Christian Klämbt:
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, Xiaoyi Jiang, Christian Klämbt:
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, Barbara Webb, Luca Del Pero:
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, Christian Klämbt:
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, Mohammad Dawood, Fabian Gigengack, Benjamin Risse, Sönke Schmid, Daniel Tenbrinck, Klaus P. Schäfers:
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, Reinhard Klette:
3D trajectory estimation of simulated fruit flies. IVCNZ 2012: 31-36
Coauthor Index
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last updated on 2023-09-08 13:33 CEST by the dblp team
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