Risse, Benjamin

Perspectives in machine learning for wildlife conservation

Tuia, D., Kellenberger, B., Beery, S., Costelloe, B. R., Zuffi, S., Risse, B., Mathis, A., Mathis, M. W., van Langevelde, F., Burghardt, T., et al. (2022) · Nature Communications

Wildlife Ecology and ConservationSpecies Distribution and Climate Change

Cited by 740

The Ol1mpiad: concordance of behavioural faculties of stage 1 and stage 3 Drosophila larvae

Almeida-Carvalho, M. J., Berh, D., Braun, A., Chen, Y.-C., Eichler, K., Eschbach, C., Fritsch, P. M. J., Gerber, B., Hoyer, N., Jiang, X., et al. (2017) · Journal of Experimental Biology

Neurobiology and Insect Physiology ResearchNeuroscience and Neuropharmacology Research

Cited by 51

Towards image-based animal tracking in natural environments using a freely moving camera

Haalck, L., Mangan, M., Webb, B., & Risse, B. (2020) · Journal of Neuroscience Methods

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 41

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

Risse, B., Mangan, M., Stürzl, W., & Webb, B. (2018) · Environmental Modelling & Software

3D Surveying and Cultural Heritage3D Shape Modeling and Analysis

Cited by 34

Immersive training of clinical decision making with AI driven virtual patients – a new VR platform called medical tr.AI.ning

Mergen, M., Junga, A., Risse, B., Valkov, D., Graf, N., Marschall, B., & Medical Tr.AI.Ning Consortium (2023) · German Medical Science GMS Publishing House

Simulation-Based Education in HealthcareSurgical Simulation and Training

Cited by 31

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

Haalck, L., & Risse, B. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 3