3D trajectory estimation of simulated fruit flies. - Junli Tao; Benjamin Risse; Xiaoyi Jiang 001; Reinhard Klette (IVCNZ, 2012)

Biomedical Imaging: A Computer Vision Perspective. - Xiaoyi Jiang 001; Mohammad Dawood; Fabian Gigengack; Benjamin Risse; Sönke Schmid; Daniel Tenbrinck; Klaus P. Schäfers (CAIP (1), 2013)

Stereo and Motion Based 3D High Density Object Tracking. - Junli Tao; Benjamin Risse; Xiaoyi Jiang 001 (PSIVT, 2013)

Comparison of two 3D tracking paradigms for freely flying insects. - Benjamin Risse; Dimitri Berh; Junli Tao; Xiaoyi Jiang 001; Reinhard Klette; Christian Klämbt (EURASIP J. Image Video Process., 2013)

FIM: Frustrated Total Internal Reflection Based Imaging for Biomedical Applications. - Benjamin Risse; Xiaoyi Jiang 001; Christian Klämbt (ERCIM News, 2013)

FIM imaging and the analysis of Drosophila locomotion. - Benjamin Risse (2015)

Quantifying subtle locomotion phenotypes of Drosophila larvae using internal structures based on FIM images. - Benjamin Risse; Dimitri Berh; Nils Otto; Xiaoyi Jiang 001; Christian Klämbt (Comput. Biol. Medicine, 2015)

Visual Tracking of Small Animals in Cluttered Natural Environments Using a Freely Moving Camera. - Benjamin Risse; Michael Mangan; Barbara Webb; Luca Del Pero (ICCV Workshops, 2017)

FIMTrack: An open source tracking and locomotion analysis software for small animals. - Benjamin Risse; Dimitri Berh; Nils Otto; Christian Klämbt; Xiaoyi Jiang 001 (PLoS Comput. Biol., 2017)

An FIM-Based Long-Term In-Vial Monitoring System for Drosophila Larvae. - Dimitri Berh; Benjamin Risse; Tim Michels; Nils Otto; Xiaoyi Jiang 001; Christian Klämbt (IEEE Trans. Biomed. Eng., 2017)

FIM2c: Multicolor, Multipurpose Imaging System to Manipulate and Analyze Animal Behavior. - Benjamin Risse; Nils Otto; Dimitri Berh; Xiaoyi Jiang 001; Matthias Kiel; Christian Klämbt (IEEE Trans. Biomed. Eng., 2017)

Deep Distance Transform to Segment Visually Indistinguishable Merged Objects. - Sören Klemm; Xiaoyi Jiang 001; Benjamin Risse (GCPR, 2018)

Automatic non-invasive heartbeat quantification of Drosophila pupae. - Dimitri Berh; Aaron Scherzinger; Nils Otto; Xiaoyi Jiang 001; Christian Klämbt; Benjamin Risse (Comput. Biol. Medicine, 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)

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)

Friends with Benefits: Wie Deep-Learning basierte Bildanalyse und kulturhistorische Heraldik voneinander profitieren. - Torsten Hiltmann; Sebastian Thiele; Benjamin Risse (DHd, 2020)

The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks. - Karim Huesmann; Luis Garcia Rodriguez; Lars Linsen; Benjamin Risse (ICPR Workshops (3), 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; et al. (CoRR, 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)

Touch Recognition on Complex 3D Printed Surfaces using Filter Response Analysis. - Dimitar Valkov; Sebastian Thiele; Karim Huesmann; Eike Gebauer; Benjamin Risse (VR Workshops, 2021)

Embedded Dense Camera Trajectories in Multi-Video Image Mosaics by Geodesic Interpolation-based Reintegration. - Lars Haalck; Benjamin Risse (WACV, 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; et al. (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; et al. (CoRR, 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; et al. (CoRR, 2021)

Resolving Colliding Larvae by Fitting ASM to Random Walker-Based Pre-Segmentations. - Ang Bian; Xiaoyi Jiang 001; Dimitri Berh; Benjamin Risse (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

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 (CVPR Workshops, 2022)

Narrowing Attention in Capsule Networks. - Sebastian Thiele; Benjamin Risse (ICPR, 2022)

Towards VR Simulation-Based Training in Brain Death Determination. - Pascal Kockwelp; Anna Junga; Dimitar Valkov; Bernhard Marschall; Markus Holling; Benjamin Risse (VR Workshops, 2022)

EyeGuide - From Gaze Data to Instance Segmentation. - Jacqueline Kockwelp; Jörg Gromoll; Joachim Wistuba; Benjamin Risse (BMVC, 2023)

SAM meets Gaze: Passive Eye Tracking for Prompt-based Instance Segmentation. - Daniel Beckmann; Jacqueline Kockwelp; Jörg Gromoll; Friedemann Kiefer; Benjamin Risse (Gaze Meets ML, 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; et al. (CoRR, 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., 2023)

S-ROPE: Spectral Frame Representation of Periodic Events. - Luis Garcia Rodriguez; Jonas Konrad; Dominik Drees; Benjamin Risse (ECCV Workshops (24), 2024)

Learning Proposal Distributions in Simulated Annealing via Template Networks: A Case Study in Nanophotonic Inverse Design. - Marlon Becker; Marco Butz; David Lemli; Carsten Schuck; Benjamin Risse (ICPR (8), 2024)

Towards a Dynamic Vision Sensor-based Insect Camera Trap. - Eike Gebauer; Sebastian Thiele; Pierre Ouvrard; Adrien Sicard; Benjamin Risse (WACV, 2024)

Solving the Plane-Sphere Ambiguity in Top-Down Structure-from-Motion. - Lars Haalck; Benjamin Risse (WACV, 2024)

Tracking Tiny Insects in Cluttered Natural Environments using Refinable Recurrent Neural Networks. - Lars Haalck; Sebastian Thiele; Benjamin Risse (WACV, 2024)

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 (Comput. Biol. Medicine, 2024)

Momentum-SAM: Sharpness Aware Minimization without Computational Overhead. - Marlon Becker; Frederick Altrock; 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)

OccFlowNet: Towards Self-supervised Occupancy Estimation via Differentiable Rendering and Occupancy Flow. - Simon Boeder; Fabian Gigengack; Benjamin Risse (CoRR, 2024)

LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering. - Simon Boeder; Fabian Gigengack; Benjamin Risse (CoRR, 2024)

deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks. - 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; et al. (CoRR, 2024)

Towards Population Scale Testis Volume Segmentation in DIXON MRI. - Jan Ernsting; Phillip Nikolas Beeken; Lynn Ogoniak; Jacqueline Kockwelp; Tim Hahn; Alexander Siegfried Busch; Benjamin Risse (CoRR, 2024)

Hatching-Box: Monitoring the Rearing Process of Drosophila Using an Embedded Imaging and in-vial Detection System. - Julian Bigge; Maite Ogueta; Luis Garcia; Benjamin Risse (CoRR, 2024)

Learned Random Label Predictions as a Neural Network Complexity Metric. - Marlon Becker; Benjamin Risse (CoRR, 2024)

VR-based Competence Training at Scale: Teaching Clinical Skills in the Context of Virtual Brain Death Examination. - Pascal Kockwelp; Marcel Meyerheim; Dimitar Valkov; Marvin Mergen; Anna Junga; Antonio Krüger; Bernhard Marschall; Markus Holling; Benjamin Risse (Proc. ACM Hum. Comput. Interact., 2024)

LangOcc: Open Vocabulary Occupancy Estimation via Volume Rendering. - Simon Boeder; Fabian Gigengack; Benjamin Risse (3DV, 2025)

Geovicla: Automated Classification of Interactive Web-Based Geovisualizations. - Phil Hüffer; Auriol Degbelo; Benjamin Risse (GIScience, 2025)

Interactive High-Quality Skin Lesion Generation using Diffusion Models for VR-based Dermatological Education. - Leon Pielage; Paul Schmidle; Bernhard Marschall; Benjamin Risse (IUI, 2025)

OccFlowNet: Occupancy Estimation via Differentiable Rendering and Occupancy Flow. - Simon Boeder; Benjamin Risse (WACV, 2025)

Human Gaze Improves Vision Transformers by Token Masking. - Jacqueline Kockwelp; Daniel Beckmann; Benjamin Risse (WACV (Workshops), 2025)

Investigating Imaging, Annotation and Self-Supervision for the Classification of Continuously Developing Cells in Histological Whole Slide Images. - Sebastian Thiele; Jacqueline Kockwelp; Joachim Wistuba; Sabine Kliesch; Jörg Gromoll; Benjamin Risse (WACV, 2025)

Gated recurrent units for modelling time series of soil temperature and moisture: An assessment of performance and process reflectivity. - Maiken Baumberger; Bettina Haas; Walter Tewes; Benjamin Risse; Nele Meyer; Hanna Meyer (Environ. Model. Softw., 2025)

GaussianFlowOcc: Sparse and Weakly Supervised Occupancy Estimation using Gaussian Splatting and Temporal Flow. - Simon Boeder; Fabian Gigengack; Benjamin Risse (CoRR, 2025)

Rethinking interaction design - special implications for interaction concepts in medical education using virtual reality. - Anna Junga; Philipp Bozdere; Ole Hätscher; Sönke Scherzer; Paul Schmidle; Henriette Schulze; Leon Pielage; Pascal Kockwelp; Marcel Meyerheim; Marvin Mergen; Benjamin Risse; Bernhard Marschall; et al. (Virtual Real., 2025)