Benjamin Risse

According to our database, Benjamin Risse authored at least 38 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

OccFlowNet: Towards Self-supervised Occupancy Estimation via Differentiable Rendering and Occupancy Flow.

Simon Boeder, Fabian Gigengack, Benjamin Risse

CoRR, 2024

pyAKI - An Open Source Solution to Automated KDIGO classification.

Christian Porschen, Jan Ernsting, Paul Brauckmann, Raphael Weiss, Till Würdemann, Hendrik Booke, Wida Amini, Ludwig Maidowski, Benjamin Risse, Tim Hahn, Thilo Caspar von Groote

CoRR, 2024

Momentum-SAM: Sharpness Aware Minimization without Computational Overhead.

Marlon Becker, Frederick Altrock, Benjamin Risse

CoRR, 2024

Tracking Tiny Insects in Cluttered Natural Environments using Refinable Recurrent Neural Networks.

Lars Haalck, Sebastian Thiele, Benjamin Risse

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Solving the Plane-Sphere Ambiguity in Top-Down Structure-from-Motion.

Lars Haalck, Benjamin Risse

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Towards a Dynamic Vision Sensor-based Insect Camera Trap.

Eike Gebauer, Sebastian Thiele, Pierre Ouvrard, Adrien Sicard, Benjamin Risse

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Adaptive Photochemical Nonlinearities for Optical Neural Networks.

Marlon Becker, Jan Riegelmeyer, Maximilian David Seyfried, Bart Jan Ravoo, Carsten Schuck, Benjamin Risse

Adv. Intell. Syst., December, 2023

Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks.

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

CoRR, 2023

From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling.

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

CoRR, 2023

EyeGuide - From Gaze Data to Instance Segmentation.

Jacqueline Kockwelp, Jörg Gromoll, Joachim Wistuba, Benjamin Risse

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Towards VR Simulation-Based Training in Brain Death Determination.

Pascal Kockwelp, Anna Junga, Dimitar Valkov, Bernhard Marschall, Markus Holling, Benjamin Risse

Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022

Narrowing Attention in Capsule Networks.

Sebastian Thiele, Benjamin Risse

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Cell Selection-based Data Reduction Pipeline for Whole Slide Image Analysis of Acute Myeloid Leukemia.

Jacqueline Kockwelp, Sebastian Thiele, Pascal Kockwelp, Jannis Bartsch, Christoph Schliemann, Linus Angenendt, Benjamin Risse

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Resolving Colliding Larvae by Fitting ASM to Random Walker-Based Pre-Segmentations.

Ang Bian, Xiaoyi Jiang, Dimitri Berh, Benjamin Risse

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Seeing biodiversity: perspectives in machine learning for wildlife conservation.

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

CoRR, 2021

An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling.

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

CoRR, 2021

Predicting brain-age from raw T1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks.

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

CoRR, 2021

Embedded Dense Camera Trajectories in Multi-Video Image Mosaics by Geodesic Interpolation-based Reintegration.

Lars Haalck, Benjamin Risse

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Touch Recognition on Complex 3D Printed Surfaces using Filter Response Analysis.

Dimitar Valkov, Sebastian Thiele, Karim Huesmann, Eike Gebauer, Benjamin Risse

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

2020

Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization.

Karim Huesmann, Sören Klemm, Lars Linsen, Benjamin Risse

CoRR, 2020

PHOTON - A Python API for Rapid Machine Learning Model Development.

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

CoRR, 2020

The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks.

Karim Huesmann, Luis Garcia Rodriguez, Lars Linsen, Benjamin Risse

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Friends with Benefits: Wie Deep-Learning basierte Bildanalyse und kulturhistorische Heraldik voneinander profitieren.

Torsten Hiltmann, Sebastian Thiele, Benjamin Risse

Proceedings of the 7. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2020

2019

From skylight input to behavioural output: A computational model of the insect polarised light compass.

Evripidis Gkanias, Benjamin Risse, Michael Mangan, Barbara Webb

PLoS Comput. Biol., 2019

2018

Software to convert terrestrial LiDAR scans of natural environments into photorealistic meshes.

Benjamin Risse, Michael Mangan, Wolfgang Stürzl, Barbara Webb

Environ. Model. Softw., 2018

Automatic non-invasive heartbeat quantification of <i>Drosophila</i> pupae.

Dimitri Berh, Aaron Scherzinger, Nils Otto, Xiaoyi Jiang, Christian Klämbt, Benjamin Risse

Comput. Biol. Medicine, 2018

Deep Distance Transform to Segment Visually Indistinguishable Merged Objects.

Sören Klemm, Xiaoyi Jiang, Benjamin Risse

Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017

FIM^2c: Multicolor, Multipurpose Imaging System to Manipulate and Analyze Animal Behavior.

Benjamin Risse, Nils Otto, Dimitri Berh, Xiaoyi Jiang, Matthias Kiel, Christian Klämbt

IEEE Trans. Biomed. Eng., 2017

An FIM-Based Long-Term In-Vial Monitoring System for Drosophila Larvae.

Dimitri Berh, Benjamin Risse, Tim Michels, Nils Otto, Xiaoyi Jiang, Christian Klämbt

IEEE Trans. Biomed. Eng., 2017

FIMTrack: An open source tracking and locomotion analysis software for small animals.

Benjamin Risse, Dimitri Berh, Nils Otto, Christian Klämbt, Xiaoyi Jiang

PLoS Comput. Biol., 2017

Visual Tracking of Small Animals in Cluttered Natural Environments Using a Freely Moving Camera.

Benjamin Risse, Michael Mangan, Barbara Webb, Luca Del Pero

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2015

Quantifying subtle locomotion phenotypes of Drosophila larvae using internal structures based on FIM images.

Benjamin Risse, Dimitri Berh, Nils Otto, Xiaoyi Jiang, Christian Klämbt

Comput. Biol. Medicine, 2015

FIM imaging and the analysis of Drosophila locomotion.

Benjamin Risse

PhD thesis, 2015

2013

FIM: Frustrated Total Internal Reflection Based Imaging for Biomedical Applications.

Benjamin Risse, Xiaoyi Jiang, Christian Klämbt

ERCIM News, 2013

Comparison of two 3D tracking paradigms for freely flying insects.

Benjamin Risse, Dimitri Berh, Junli Tao, Xiaoyi Jiang, Reinhard Klette, Christian Klämbt

EURASIP J. Image Video Process., 2013

Stereo and Motion Based 3D High Density Object Tracking.

Junli Tao, Benjamin Risse, Xiaoyi Jiang

Proceedings of the Image and Video Technology - 6th Pacific-Rim Symposium, 2013

Biomedical Imaging: A Computer Vision Perspective.

Xiaoyi Jiang, Mohammad Dawood, Fabian Gigengack, Benjamin Risse, Sönke Schmid, Daniel Tenbrinck, Klaus P. Schäfers

Proceedings of the Computer Analysis of Images and Patterns, 2013

2012

3D trajectory estimation of simulated fruit flies.

Junli Tao, Benjamin Risse, Xiaoyi Jiang, Reinhard Klette

Proceedings of the Image and Vision Computing New Zealand, 2012