CV
Academic Education
- Professor, University of Münster, Münster, Germany
- Junior Professor (W1), University of Münster, Münster, Germany
- Ph. D. studies, University of Münster, Münster Germany
- Diplom Informatiker (Dipl. Inf.; MSc equivalent), University of Münster, Münster, Germany
Positions
- Professor, University of Münster, Münster, Germany
- Junior Professor (W1), University of Münster, Münster, Germany, Faculty of Mathematics and Computer Science
- Research Associate, University of Edinburgh, Edinburgh, United Kingdom, Institute for Action, Perception and Behaviour (Insect Robotics Group)
- Ph. D. studies, University of Münster, Münster, Germany, Supervisors: Prof. X. Jiang (Pattern Recognition and Image Analysis) & Prof. C. Klämbt (Institute for Neuro- and Behavioural Biology)
- Diploma degree in computer science with a minor in biology, University of Münster, Münster, Germany
External Functions
- German Informatics Society Membership, Gesellschaft für Informatik e.V. (GI)
- IEEE Membership, Young Professionals and Computer Society Membership.
Publications
- Baumberger, M, Haas, B, Tewes, W, Risse, B, Meyer, N, and Meyer, H. . “Gated recurrent units for modelling time series of soil temperature and moisture: An assessment of performance and process reflectivity.” Environmental Modelling and Software, № 183: 106245–106245. doi: 10.1016/j.envsoft.2024.106245.
- Beckmann, Daniel, Kockwelp, Jacqueline, Gromoll, Joerg, Kiefer, Friedemann, and Risse, Benjamin. . “SAM meets Gaze: Passive Eye Tracking for Prompt-based Instance Segmentation.” Proceedings of Machine Learning Research, № 2023
- Haalck, Lars, and Risse, Benjamin. . “Solving the Plane-Sphere Ambiguity in Top-Down Structure-from-Motion.” contribution to the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii doi: 10.1109/WACV57701.2024.00345.
- Gebauer, Eike, Thiele, Sebastian, Ouvrard, Pierre, Sicard, Adrien, and Risse, Benjamin. . “Towards a Dynamic Vision Sensor-based Insect Camera Trap.” contribution to the Winter Conference on Applications of Computer Vision 2024, Waikoloa, Hawaii
- Porschen, C, Ernsting, J, Brauckmann, P, Weiss, R, Würdemann, T, Booke, H, Amini, W, Maidowski, L, Risse, B, Hahn, T, and Groote, T. . “pyAKI - An Open Source Solution to Automated KDIGO classification.” https://arxiv.org doi: 10.48550/arXiv.2401.12930.
- Young, S, Schiffer, C, Wagner, A, Patz, J, Potapenko, A, Herrmann, L, Nordhoff, V, Pock, T, Krallmann, C, Stallmeyer, B, Röpke, A, Kierzek, M, Biagioni, C, Wang, T, Haalck, L, Deuster, D, Hansen, JN, Wachten, D, Risse, B, Behre, HM, Schlatt, S, Kliesch, S, Tüttelmann, F, Brenker, C, and Strünker, T. . “Human fertilization in vivo and in vitro requires the CatSper channel to initiate sperm hyperactivation.” Journal of Clinical Investigation, № 134 (1) doi: 10.1172/JCI173564.
- Winter, NR, Blanke, J, Leenings, R, Ernsting, J, Fisch, L, Sarink, K, Barkhau, C, Emden, D, Thiel, K, Flinkenflügel, K, Winter, A, Goltermann, J, Meinert, S, Dohm, K, Repple, J, Gruber, M, Leehr, EJ, Opel, N, Grotegerd, D, Redlich, R, Nitsch, R, Bauer, J, Heindel, W, Gross, J, Risse, B, Andlauer, TFM, Forstner, AJ, Nöthen, MM, Rietschel, M, Hofmann, SG, Pfarr, JK, Teutenberg, L, Usemann, P, Thomas-Odenthal, F, Wroblewski, A, Brosch, K, Stein, F, Jansen, A, Jamalabadi, H, Alexander, N, Straube, B, Nenadic, I, Kircher, T, Dannlowski, U, and Hahn, T. . “A Systematic Evaluation of Machine Learning--Based Biomarkers for Major Depressive Disorder.” JAMA Psychiatry, № 81 (4): 386–395. doi: 10.1001/jamapsychiatry.2023.5083.
- Bauer, N, Beckmann, D, Reinhardt, D, Frost, N, Bobe, S, Erapaneedi, R, Risse, B, and Kiefer, F. . “Therapy-induced modulation of tumor vasculature and oxygenation in a murine glioblastoma model quantified by deep learning-based feature extraction.” Scientific Reports, № 14 (1): 2034–2034. doi: 10.1038/s41598-024-52268-0.
- Fisch, L., Zumdick, S., Barkhau, C., Emden, D., Ernsting, J., Leenings, R., Sarink, K., Winter, N.R., Risse, B., Dannlowski, U., and Hahn, T. . “deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks.” Computers in Biology and Medicine, № 179 doi: 10.1016/j.compbiomed.2024.108845.
- Shukla, Vandita, Morelli, Luca, Remondino, Fabio, Micheli, Andrea, Tuia, Devis, and Risse, Benjamin. . “Towards Estimation of 3D Poses and Shapes of Animals from Oblique Drone Imagery.” contribution to the ISPRS Technical Commission II Symposium 2024, Las Vegas
- Schwarz, S, Clement, L, Haalck, L, Risse, B, and Wystrach, A. . “Compensation to visual impairments and behavioral plasticity in navigating ants.” Proceedings of the National Academy of Sciences of the United States of America, № 121 (48): e2410908121. doi: 10.1073/pnas.2410908121.
- Brückerhoff-Plückelmann, F, Borras, H, Klein, B, Varri, A, Becker, M, Dijkstra, J, Brückerhoff, M, Wright, CD, Salinga, M, Bhaskaran, H, Risse, B, Fröning, H, and Pernice, W. . “Probabilistic photonic computing with chaotic light.” Nature Communications, № 15 (1): 10445–10445. doi: 10.1038/s41467-024-54931-6.
- Becker, Marlon, Butz, Marco, Lemli, David, Schuck, Carsten, and Risse, Benjamin. . “Learning Proposal Distributions in Simulated Annealing via Template Networks: A Case Study in Nanophotonic Inverse Design.” in Pattern Recognition, Vol. 27 of 27th International Conference ICPR 2024, edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya and Umapada Pal. Heidelberg: Springer. doi: https://doi.org/10.1007/978-3-031-78186-5_13.
- Kockwelp, Pascal, Meyerheim, Marcel, Valkov, Dimitar, Mergen, Marvin, Junga, Anna, Krüger, Antonio, Marschall, Bernhard, Holling, Markus, and Risse, Benjamin. . “VR-based Competence Training at Scale: Teaching Clinical Skills in the Context of Virtual Brain Death Examination.” Proceedings of the ACM on Human-Computer Interaction, № 8 261. doi: 10.1145/3664635.
- Schulte, L, Butz, M, Becker, M, Risse, B, and Schuck, C. . “Accelerating Finite-Difference Frequency-Domain Simulations for Inverse Design Problems in Nanophotonics using Deep Learning.” Journal of the Optical Society of America B, № 41 (4): 1039–1046. doi: 10.1364/JOSAB.506159.
- Junga, Anna, Schulze, Henriette, Scherzer, Sönke, Hätscher, Ole, Bozdere, Philipp, Schmidle, Paul, Risse, Benjamin, and Marschall, Bernhard. . “Immersive learning in medical education: analyzing behavioral insights to shape the future of VR-based courses.” BMC Medical Education, № 2024 (24) 1413. doi: 10.1186/s12909-024-06337-7.
- Kockwelp, Jacqueline, Thiele, Sebastian, Bartsch, Jannis, Haalck, Lars, Gromoll, Jörg, Schlatt, Stefan, Exeler, Rita, Bleckmann, Annalen, Lenz, Georg, Wolf, Sebastian, Steffen, Björn, Berdel, Wolfgang Eduard, Schliemann, Christoph, Risse, Benjamin, and Angenendt, Linus. . “Deep learning predicts therapy-relevant genetics in acute myeloid leukemia from Pappenheim-stained bone marrow smears.” Blood Advances, № 8 (1): 70–79. doi: 10.1182/bloodadvances.2023011076.
- Butz, Marco, Abazi, Adrian S., Ross, Rene, Risse, Benjamin, and Schuck, Carsten. . “Inverse Design of Nanophotonic Devices using Dynamic Binarization.” Optics Express, № 31 (10): 15747–15756. doi: 10.1364/OE.484484.
- Wendland, D, Becker, M, Brückerhoff-Plückelmann, F, Bente, I, Busch, K, Risse, B, and Pernice, WH. . “Coherent dimension reduction with integrated photonic circuits exploiting tailored disorder.” Journal of the Optical Society of America B, № 40 (3): B35–B40.
- Haalck, L, Mangan, M, Wystrach, A, Clement, L, Webb, B, and Risse, B. . “CATER: Combined Animal Tracking & Environment Reconstruction.” Science advances, № 9 (16): eadg2094–eadg2094.
- Rösler, W, Altenbuchinger, M, Bae{ß}ler, B, Beissbarth, T, Beutel, G, Bock, R, Bubnoff, N, Eckardt, J, Foersch, S, Loeffler, CM, and others. . “An overview and a roadmap for artificial intelligence in hematology and oncology.” Journal of Cancer Research and Clinical Oncology, № 15: 1–10.
- Butz, M, Leifhelm, A, Becker, M, Risse, B, and Schuck, C. . “A Universal Approach to Nanophotonic Inverse Design through Reinforcement Learning.” in CLEO 2023, paper STh4G.3, edited by Optica Publishing Group. Washington, DC: Optica. doi: 10.1364/CLEO_SI.2023.STh4G.3.
- Butz, Marco, Leifhelm, Alexander, Becker, Marlon, Risse, Benjamin, and Schuck, Carsten. . “A Novel Approach to Nanophotonic Black-Box Optimization Through Reinforcement Learning.” in Q 30 Nano-optics, edited by DPG. Bad Honnef: Deutsche Physikalische Gesellschaft.
- Kockwelp, Jacqueline, Gromoll, Jörg, Wistuba, Joachim, and Risse, Benjamin. . “EyeGuide - From Gaze Data to Instance Segmentation.” contribution to the The British Machine Vision Conference (BMVC), Aberdeen
- Becker, Marlon, Riegelmeyer, Jan, Seyfried, Maximilian, Ravoo, Bart-Jan, Schuck, Carsten, and Risse, Benjamin. . “Adaptive Photo-Chemical Nonlinearities for Optical Neural Networks.” Advanced Intelligent Systems, № 5 (12) 2300229. doi: 10.1002/aisy.202300229 .
- Haalck, Lars, Thiele, Sebastian, and Risse, Benjamin. . “Tracking Tiny Insects in Cluttered Natural Environments using Refinable Recurrent Neural Networks.” contribution to the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii doi: 10.1109/WACV57701.2024.00697.
- Brückerhoff-Plückelmann, Frank, Bente, Ivonne, Becker, Marlon, Vollmar, Niklas, Farmakidis, Nikolaos, Lomonte, Emma, Lenzini, Francesco, Wright, CDavid, Bhaskaran, Harish, Salinga, Martin, Risse, Benjamin, and Pernice, Wolfram HP. . “Event-driven adaptive optical neural network.” Science advances, № 9 (42): eadi9127. doi: 10.1126/sciadv.adi9127.
- Becker, Marlon, Drees, Dominik, Brückerhoff-Plückelmann, Frank, Schuck, Carsten, Pernice, Wolfram, and Risse, Benjamin. . “Activation Functions in Non-Negative Neural Networks.” contributed to the Machine Learning and the Physical Sciences Workshop, NeurIPS, New Orleans
- Pielage, Leon, Schmidle, Paul, Marschall, Bernhard, and Risse, Benjamin. . “Diffusion Models in Dermatological Education: Flexible High Quality Image Generation for VR-based Clinical Simulations.” contributed to the NeurIPS'23 Workshop: Generative AI for Education (GAIED), New Orleans, Louisiana
- Döll, Petra, Sester, Monika, Feuerhake, Udo, Frahm, Holger, Fritzsch, Bernadette, Hezel, Dominik C, Kaus, Boris, Kolditz, Olaf, Linxweiler, Jan, Müller Schmied, Hannes, Nyenah, Emmanuel, Risse, Benjamin, Schielein, Ulrich, Schlauch, Tobias, Streck, Thilo, and van den Oord, Gijs. . “Sustainable research software for high-quality computational research in the Earth System Sciences: Recommendations for universities, funders and the scientific community in Germany.” FIG GEO-LEO e-docs doi: 10.23689/fidgeo-5805.
- Becker, Marlon, Riegelmeyer, Jan, Seyfried, Maximilian David, Ravoo, Bart Jan, Schuck, Carsten, and Risse, Benjamin. . “Adaptive Photochemical Nonlinearities for Optical Neural Networks.” Advanced Intelligent Systems, № 5 (12) doi: 10.1002/aisy.202300229.
- Becker, Marlon, Butz, Marco, Lemli, David, Schuck, Carsten, and Risse, Benjamin. . “Combinatorial Optimization via Memory Metropolis: Template Networks for Proposal Distributions in Simulated Annealing applied to Nanophotonic Inverse Design.” contributed to the Neural Information Processing Systems (NeurIPS) Workshop on AI for Accelerated Materials Design (AI4Mat-2023), New Orleans
- Mergen, Marvin*, Junga, Anna*, Risse, Benjamin, Valkov, Dimitar, Graf, Norbert, and Marschall, Bernhard. . “Immersive training of clinical decision making with AI driven virtual patients-a new VR platform called medical tr.AI.ning.” GMS Journal for Medical Education, № 40 (2) doi: 10.3205/zma001600.
- Ole, Hätscher, Anna, Junga, Henriette, Schulze, Pascal, Kockwelp, Benjamin, Risse, Mitja, Back, and Bernhard, Marschall. . “Integration of VR into Medical Education (Workshop).” in Würtual Reality, edited by 2023 University of Würzburg, Department of Psychology I (Marcusstr. 9-11, 97070 Würzburg). N/A: Selbstverlag / Eigenverlag. doi: 10.25972/OPUS-31720.
- Barrie, Robert, Haalck, Lars, Risse, Benjamin, Nowotny, Thomas, Graham, Paul, and Buehlman, Cornelia. . “Trail using ants follow idiosyncratic routes in complex landscapes.” Learning and Behavior, № s13420-023-00615 doi: 10.3758/s13420-023-00615-y.
- Henriette, Schulze, Anna, Junga, Ole, Hätscher, Pascal, Kockwelp, Benjamin, Risse, Markus, Holling, and Bernhard, Marschall. . “Hirntoddiagnostik in Virtual Reality – was denken Studierende darüber?” contributed to the Jahrestagung der Gesellschaft für Medizinische Ausbildung (GMA) 2023, Osnabrück doi: 10.3205/23GMA227.
- Ole, Hätscher, Anna, Junga, Henriette, Schulze, Pascal, Kockwelp, Benjamin, Risse, Mitja, Back D., and Bernhard, Marschall. . “Zusammenhang von Persönlichkeitsvariablen und Leistung in der virtuellen medizinischen Ausbildung.” contributed to the Jahrestagung der Gesellschaft für medizinische Ausbildung (GMA) 2023, Osnabrück doi: 10.3205/23GMA273.
- Junga, Anna, Kockwelp, Pascal, Valkov, Dimitar, Marschall, Bernhard, Hartwig, Sophia, Stummer, Walter, Risse, Benjamin, and Holling, Markus. . “Virtual Reality based teaching – a paradigm shift in education?” contributed to the 73. Jahrestagung Deutsche Gesellschaft für Neurochirurgie, Köln doi: 10.3205/22DGNC538.
- Bobe, S, Beckmann, D, Klump, DM, Dierkes, C, Kirschnick, N, Redder, E, Bauer, N, Schäfers, M, Erapaneedi, R, Risse, B, van de, Pavert SA, and Kiefer, F. . “Volumetric imaging reveals VEGF-C-dependent formation of hepatic lymph vessels in mice.” Frontiers in cell and developmental biology, № 10: 949896–949896. doi: 10.3389/fcell.2022.949896.
- Hahn, T, Ernsting, J, Winter, NR, Holstein, V, Leenings, R, Beisemann, M, Fisch, L, Sarink, K, Emden, D, Opel, N, Redlich, R, Repple, J, Grotegerd, D, Meinert, S, Hirsch, JG, Niendorf, T, Endemann, B, Bamberg, F, Kröncke, T, Bülow, R, Völzke, H, von Stackelberg, O, Sowade, RF, Umutlu, L, Schmidt, B, Caspers, S, Kugel, H, Kircher, T, Risse, B, Gaser, C, Cole, JH, Dannlowski, U, and Berger, K. . “An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling.” Science advances, № 8 (1): eabg9471–eabg9471. doi: 10.1126/sciadv.abg9471.
- Tuia, D, Kellenberger, B, Beery, S, Costelloe, BR, Zuffi, S, Risse, B, Mathis, A, Mathis, MW, van Langevelde, F, Burghardt, T, Kays, R, Klinck, H, Wikelski, M, Couzin, ID, van Horn, G, Crofoot, MC, Stewart, CV, and Berger-Wolf, T. . “Perspectives in machine learning for wildlife conservation.” Nature Communications, № 13 (1): 792–807. doi: 10.1038/s41467-022-27980-y.
- Kockwelp, P, Junga, A, Valkov, D, Marschall, B, Holling, M, and Risse, B. . “Towards VR Simulation-Based Training in Brain Death Determination.” in 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), edited by IEEE. New York City: Wiley-IEEE Press.
- Thiele, Sebastian, and Risse, Benjamin. . “Narrowing Attention in Capsule Networks.” in 26th International Conference on Pattern Recognition, edited by IEEE. New York City: Wiley-IEEE Press.
- Kockwelp, Jacqueline, Thiele, Sebastian, Kockwelp, Pascal, Bartsch, Jannis, Schliemann, Christoph, Angenendt, Linus, and Risse, Benjamin. . “Cell Selection-based Data Reduction Pipeline for Whole Slide Image Analysis of Acute Myeloid Leukemia.” in The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, edited by IEEE/CVF. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. doi: 10.1109/CVPRW56347.2022.00199.
- Riegelmeyer, Jan, Eich, Alexander, Becker, Marlon, Risse, Benjamin, and Schuck, Carsten. . “Development of a nanophotonic nonlinear unit for optical artificial neural networks.” contributed to the DPG Springmeeting 2022, Erlangen
- Butz, Marco, Leifhelm, Alexander, Becker, Marlon, Risse, Benjamin, and Schuck, Carsten. . “Inverse Design of Nanophotonic Devices based on Reinforcement Learning.” in Q 38 Photonics II, edited by DPG. Bad Honnef: Deutsche Physikalische Gesellschaft.
- Bian, A, Jiang, X, Berh, D, and Risse, B. . “Resolving colliding larvae by fitting ASM to random walker-based pre-segmentations.” IEEE/ACM Transactions on Computational Biology and Bioinformatics, № 18 (3): 1184–1194.
- Valkov, Dimitar, Thiele, Sebastian, Huesmann, Karim, and Risse, Benjamin. . “Touch Recognition on Complex 3D Printed Surfaces using Filter Response Analysis.” in IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), edited by IEEE. New York City: Wiley-IEEE Computer Society Press. doi: 10.1109/VRW52623.2021.00043.
- Huesmann, Karim, Garcia, Rodriguez Luis, Linsen, Lars, and Risse, Benjamin. . “The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks.” in The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks Basel: Springer International Publishing.
- Haalck, Lars, and Risse, Benjamin. . “Embedded Dense Camera Trajectories in Multi-Video Image Mosaics by Geodesic Interpolation-based Reintegration.” contribution to the Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii
- Thiele, Sebastian, Haalck, Lars, Struffert, Marvin, Scherber, Christoph, and Risse, Benjamin. . “Towards Visual Insect Camera Traps.” contribution to the International Conference on Pattern Recognition (ICPR) Workshop on Visual observation and analysis of Vertebrate And Insect Behavior (VAIB), Milan
- Leenings, R, Winter, NR, Plagwitz, L, Holstein, V, Ernsting, J, Sarink, K, Fisch, L, Steenweg, J, Kleine-Vennekate, L, Gebker, J, Emden, D, Grotegerd, D, Opel, N, Risse, B, Jiang, X, Dannlowski, U, and Hahn, T. . “PHOTONAI-A Python API for rapid machine learning model development.” PloS one, № 16 doi: 10.1371/journal.pone.0254062.
- Leenings, R, Winter, NR, Plagwitz, L, Holstein, V, Ernsting, J, Steenweg, J, Gebker, J, Sarink, K, Emden, D, Grotegerd, D, and others. . “PHOTON--A Python API for Rapid Machine Learning Model Development.” arXiv preprint arXiv:2002.05426, № 2020
- Neuert, H, Deing, P, Krukkert, K, Naffin, E, Steffes, G, Risse, B, Silies, M, and Klämbt, C. . “The Drosophila NCAM homolog Fas2 signals independently of adhesion.” Development, № 147 (2) doi: 10.1242/dev.181479.
- Haalck, L, Mangan, M, Webb, B, and Risse, B. . “Towards image-based animal tracking in natural environments using a freely moving camera.” Journal of Neuroscience Methods, № 330: 108455. doi: 10.1016/j.jneumeth.2019.108455.
- Huesmann, K, Klemm, S, Linsen, L, and Risse, B. . Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization, arXiv e-print:2002.09237: CoRR.
- Gkanias, E, Risse, B, Mangan, M, and Webb, B. . “From skylight input to behavioural output: a computational model of the insect polarised light compass.” PLoS Computational Biology, № 15 (7): e1007123. doi: 10.1371/journal.pcbi.1007123.
- Berh, D, Scherzinger, A, Otto, N, Jiang, X, Klämbt, C, and Risse, B. . “Automatic non-invasive heartbeat quantification of Drosophila pupae.” Computers in Biology and Medicine, № 93: 189–199.
- Otto, N, Marelja, Z, Schoofs, A, Kranenburg, H, Bittern, J, Yildirim, K, Berh, D, Bethke, M, Thomas, S, Rode, S, Risse, B, Jiang, X, Pankratz, M, Leimkuehler, S, and Klämbt, C. . “The Sulfite Oxidase Shopper controls neuronal activity by regulating glutamate homeostasis in Drosophila ensheathing glia.” Nature Communications, № 9 (1): 3514.
- Kiel, M, Berh, D, Daniel, J, Otto, N, Steege, A, Jiang, X, Liebau, E, and Risse, B. . “A Multi-Purpose Worm Tracker Based on FIM.” bioRxiv
- Risse, B, Mangan, M, and Webb, B. . “Possibilities, Constraints and Limitations of Image-based Animal Tracking in Natural Environments.” contribution to the Measuring Behavior, Manchester, UK
- Risse, B, Mangan, M, Stürzl, W, and Webb, B. . “Software to convert terrestrial LiDAR scans of natural environments into photorealistic meshes.” Environmental Modelling and Software, № 99: 88–100. doi: 10.1016/j.envsoft.2017.09.018.
- Klemm, S, Jiang, X, and Risse, B. . “Deep distance transform to segment visually indistinguishable merged objects.” contribution to the Proc. of 40th German Conference on Pattern Recognition (GCPR), Stuttgart
- Almeida-Carvalho MJ, Berh D, ......, Jiang X, ......, Risse B, and ......, Zlatic M. . “The Ol1mpiad: Concordance of behavioural faculties of stage 1 and stage 3 Drosophila larvae.” Journal of Experimental Biology, № 220: 2452–2475. doi: 10.1242/jeb.156646.
- Risse, B, Berh, D, Otto, N, Klämbt, C, and Jiang, X. . “FIMTrack: An open source tracking and locomotion analysis software for small animals.” PLoS Computational Biology, № 13 (5): e1005530. doi: 10.1371/journal.pcbi.1005530.
- Berh, D, Risse, B, Michels, T, Otto, N, Jiang, X, and Klämbt, C. . “A FIM-based long-term in-vial monitoring system for Drosophila larvae.” IEEE Transactions on Biomedical Engineering, № 64 (8): 1862–1874.
- Risse, B, Mangan, M, Del, Pero L, and Webb, B. . “Visual Tracking of Small Animals in Cluttered Natural Environments Using a Freely Moving Camera.” in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017, edited by Computer Vision Foundation. New York City: Wiley-IEEE Computer Society Press. doi: 10.1109/ICCVW.2017.335.
- Otto, N, Risse, B, Berh, D, Bittern, J, Jiang, X, and Klämbt, C. . “Interactions among Drosophila larvae before and during collision.” Scientific Reports, № 11 (6): 31564. doi: 10.1038/srep31564.
- Risse, B, Mangan, M, and Webb, B. . “Tracking, Mapping and Reconstruction. Modelling the Visual Perception of Desert Ants.” contribution to the Animal Movement International Symposium, Lund, Sweden
- Risse, B, Mangan, M, and Webb, B. . “Habitat3D: Recreating the History of Visual Experience of Individual Insects.” contribution to the International Congress of Neuroethology, Montevideo, Uruguay
- Risse, B, Mangan, M, Del, Pero L, and Webb, B. . “HabiTracks: Visual Tracking of Insects in Their Natural Habitat.” contribution to the International Congress of Neuroethology, Montevideo, Uruguay
- Risse, B, Otto, N, Berh, D, Jiang, X, Kiel, M, and Klämbt, C. . “FIM2c : A Multi-Colour, Multi-Purpose Imaging System to Manipulate and Analyse Animal Behaviour.” IEEE Transactions on Biomedical Engineering, № 64: 1–1.
- Risse, B., Berh, D., Otto, N., Jiang, X., and Klämbt, C. . “Quantifying subtle locomotion phenotypes of Drosophila larvae using internal structures based on FIM images.” Computers in Biology and Medicine, № 63 (null): 269–276. doi: 10.1016/j.compbiomed.2014.08.026.
- Risse, B, Berh, D, Otto, N, Jiang, X, and Klämbt, C. . “Imaging Modalities for Semi-Translucent Animals and Their Impact on Quantitative Analysis.” in VAIB Workshop, ICPR
- Risse, B., Otto, N., Berh, D., Jiang, X., and Klämbt, C. . “FIM imaging and FIMTrack: Two new tools allowing high-throughput and cost effective locomotion analysis.” Journal of Visualized Experiments, № 94
- Lammel, U., Bechtold, M., B, B.Risse, Berh, D., Fleige, A., Bunse, I., Jiang, X., Klämbt, C., and Bogdan, S. . “The Drosophila FHOD1-like formin Knittrig acts through Rok to promote stress fiber formation and directed macrophage migration during the cellular immune response.” Development, № 141 (6): 1366–1380. doi: 10.1242/dev.101352.
- Tao, J, Risse, B, and Jiang, X. . “Stereo and Motion Based 3D High Density Object Tracking.” Image and Video Technology, № 2014: 136–148. doi: 10.1007/978-3-642-53842-1_12.
- Risse, B, Berh, D, Otto, N, Jiang, X, and Klämbt, C. . “FIM2C and the Analysis of Collision Behavior.” contribution to the Flies, Worms and Robots: Combining Perspectives on Minibrains and Behavior Conference, Sant Feliu de Guixols, Spain
- Jiang, X, Dawood, M, Gigengack, F, Risse, B, Schmid, S, Tenbrinck, D, and Schäfers, K. . “Biomedical Imaging: a Computer Vision Perspective.” in Computer Analysis of Images and Patterns, edited by R.Wilson et al.: CAIP 2013. Düsseldorf: Springer VDI Verlag.
- Risse, B, Jiang, X, and Klämbt, C. . “FIM: Frustrated Total Internal Reflection Based Imaging for Biomedical Applications.” ERCIM News, № 95 (Image Understanding): 11–12.
- Sander, M., Squarr, A.J., Risse, B., Jiang, X., and Bogdan, S. . “Drosophila pupal macrophages - A versatile tool for combined ex vivo and in vivo imaging of actin dynamics at high resolution.” European Journal of Cell Biology, № 2013 doi: 10.1016/j.ejcb.2013.09.003.
- Risse, B., Thomas, S., Otto, N., Löpmeier, T., Valkov, D., Jiang, X., and Klämbt, C. . “FIM, a novel FTIR-based imaging method for high throughput locomotion analysis.” PloS one, № 8 (1): e53963. doi: 10.1371/journal.pone.0053963.
- Risse, B, Berh, D, Tao, J, Jiang, X, Klette, R, and Klämbt, C. . “Comparison of two 3D tracking paradigms for freely flying insects.” EURASIP J Image Video Process, № 2013 (1): 57. doi: 10.1186/1687-5281-2013-57.
- Risse, B, Otto, N, Berh, D, Jiang, X, and Klämbt, C. . “Tracking of Colliding Larvae.” contribution to the Conference on Neurobiology of Drosophila, New York, USA
- Schmidt, I, Thomas, S, Kain, P, Risse, B, Naffin, E, and Klämbt, C. . “Kinesin heavy chain function in Drosophila glial cells controls neuronal activity.” Journal of Neuroscience, № 32 (22): 7466–7476. doi: 10.1523/JNEUROSCI.0349-12.2012.
- Tao, J, Risse, B, Jiang, X, and Klette, R. . “3D Trajectory Estimation of Simulated Fruit Flies.” In Proc 27th IVCNZ, Dunedin, № 2012
- Risse, B, Thomas, S, Jiang, X, and Klämbt, C. . “FIM: FTIR Based Image Acquisition and Tracking.” contribution to the Conference on Behavioral Neurogenetics of Drosophila Larva (Maggot Meeting), Ashburn, USA
Talks
- Risse, Benjamin : „KI als anthropologische Herausforderung: Durchbrüche und Grenzen ak- tueller KI Entwicklungen“. Seminar in Humanities, University of Münster, Münster, Germany, .
- Risse, Benjamin : “From the Lab to the Field - Novel Computer Vision and Machine Learning Approaches to Quantify the Behaviour of Animals Across Scales”. NC3 Symposium, University of Bielefeld, Bielefeld, Germany, .
- Risse, Benjamin; Hiltmann, Thorsten : „How deep learning based image analysis and cultural historical heraldry benefit from each other“. Konference: Digital Humanities Deutschland (DHD2020), University of Paderborn, Paderborn, Germany, .
- Risse, Benjamin : “The Benefits of Interdisciplinary Machine Learning & Computer Vision Research”. Center for Reproductive Medicine and Andrology, University Hospital Münster, Münster, Germany, .
- Risse, Benjamin : „Machine Learning & Computer Vision in Interdisciplinary Research“. eScience Symposium, University of Münster, Münster, Germany, .
- Risse, Benjamin : “Is Science Mostly Driven by Ideas or By Tools?” Semiar: Institute of Physiological Chemistry and Pathobiochemistry, University of Münster, Münster, Germany, .
- Risse, Benjamin : “Interdisciplinary Research at the Interface of Behavioural Biology and Com- puter Vision & Machine Learning”. Invited Talk MPI Bonn, MPI Bonn, Bonn, Germany, .
- Risse, Benjamin : “"Artificial intelligence" - The quintessence of scientific narrow-mindedness?” Lecture series on Digitisation, Privacy and AI, University of Münster, Münster, Germany, .
- Haalck, Lars; Risse, Benjamin : “Quantifying the Behavioural Dynamics Behind the Sixth Mass Extinction of Insects – A Progress Report”. EnviroInfo 2019, Kassel, Deutschland, .
- Risse, Benjamin : “Machine Learning: Yet Another Quantitative Research Tool”. CiM Symposium, University of Münster, Münster, Germany, .
- Risse, Benjamin : “Visual Tracking of Tiny Insects Using a Freely Moving Camera While Reconstructing Their Environment”. Conference: Association for the Study of Animal Behaviour (ASAB), University of Konstanz, Konstanz, Germany, .
- Risse, Benjamin : “Automatic Recognition of Wildlife Animals in Camera Trap Images”. Hoge Veluwe National Park Open Day, Hoge Veluwe National Park, Netherlands, .
- Risse, Benjamin : “Machine Learning for Image Analysis”. GI at School, University of Münster, Münster, Germany, .
- Risse, Benjamin : “Informatik Studieren?” Berufsinformationstag BIBO 2019, Oelde, Germany, .
- Risse, Benjamin : “Detecting and Tracking Animals in Complex Natural Environments”. Invitation of the BBC Manchester, BBC Manchester, Manchester, UK, .
- Risse, Benjamin : “Tracking the Untrackable: Detecting Tiny Objects in Heavily Cluttered Environments”. Seminar in the University Hospital Münster , University Hospital Münster, Münster, Germany, .
- Risse, Benjamin : “Tracking Tiny Objects While Reconstructing Their Natural Environment Using Hand-held Cameras and Drones”. Seminar at the Institute of Landscape Ecology, WWU Münster, Münster, Deutschland, .
- Risse, Benjamin : “Machine Learning and Computer Vision - Tools & Technical Challenges”. BASF Scientific Meeting, Mannheim, Germany, .
- Risse, Benjamin : “Machine Learning & Computer Vision for In-Vial Tracking”. Young Academy Retreat of the Cells in Motion Cluster of Excellence, WWU Münster, .
- Risse, Benjamin : “Possibilities, Constraints and Limitations of Image-based Animal Tracking in Natural Environments”. Measuring Behavior Conference, Manchester, UK, .
- Risse, Benjamin : “From Hand-held Cameras to Drones: Tracking Tiny Objects while Recon- (est.) structing the Environment”. Geoinformatik Münster, Münster, Germany, .
- Risse, Benjamin : “Computer Vision in the Wild”. Laboratory of Geo-Information Science and Remote Sensing, Wageningen, Netherlands, .
- Risse, Benjamin : “Computer Vision in the Wild”. Laboratory of Geo-Information Science and Remote Sensing, Wageningen, Niederlande, .
- Risse, Benjamin : “Interdisciplinary Research at the Interface of Biology and Computer Vision / Pattern Recognition”. Institute for Evolution and Biodiversity, Münster, Germany, .
- Risse, Benjamin : “Visual Tracking of Small Animals in Cluttered Natural Environments Using a Freely Moving Camera”. International Conference on Computer Visioin (ICCV), Venice, Italy, .
- Risse, Benjamin : “Imaging and Tracking in Neurobiology: Acquiring Locomotion Trajectories of Small and Translucent Animals”. Cells in Motion: New Horizons in Experimental Medicine, Münster, Germany, .
- Risse, Benjamin : “Multimodal and adaptive behaviour in insects and robots”. School of Computer Science, Lincoln, UK, .
- Risse, Benjamin : “Imaging and Tracking of Semi-Translucent Animals like Worms or Larvae Using the FIM Multi-Purpose Setup ”. Centre of Integrative Physiology, Edinburgh, UK, .
- Risse, Benjamin : “Is Science Mostly Driven by Tools or by Ideas?” Center for Integrative Biology, Toulouse, France, .
- Risse, Benjamin : “Insect Robotics”. Living Machines Workshop Satellite Presentation, Edinburgh, UK, .
- Risse, Benjamin : “Imaging and Tracking in Neurobiology”. IPAB Workshop, Edinburgh, UK, .
- Risse, Benjamin : “Acquiring Locomotion Trajectories of Drosophila melanogaster”. European Neuroscience Institute (ENI), Göttingen, Germany, .
- Risse, Benjamin : “Tracking and Imaging in Neurobiology using FIM”. Leibniz Institute for Neurobiology (LIN), Magdeburg, Germany, .
- Risse, Benjamin : “Imaging Modalities for Semi-Translucent Animals and Their Impact on Quantitative Analysis”. Visual Obervation and Analysis of Vertebrate and Insect Behavior Workshop, ICPR 2014, Stockholm, Sweden, .
- Risse, Benjamin : “FIM: Acquiring Locomoton Trajectories of Drosophila melanogaster”. Drosophila larval development and locomotion meeting, Münster, Germany, .
- Risse, Benjamin : “Imaging and Tracking in Neurobiology”. Imaging and Mathematics (Münster Cambridge Meeting), Münster, Germany, .
- Risse, Benjamin : “Acquiring Locomotion Trajectories of Drosophila melanogaster”. Southwestern University of Finance and Economics, Sichuan, China, .
Honors
- Paper of the Month – Medizinische Fakultät der Universität Münster
- Teaching Prize – University of Münster
- Lehrpreis – Fachschaft für Mathematik & Informatik der Universität Münster
- BMVC Outstanding Reviewer Award – The British Machine Vision Association (BMVC)
- Award of Applied Computer Science – IHK Nord Westfalen
