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    Publications

    • Beckmann, Daniel; Kockwelp, Jacqueline; Gromoll, Joerg; Kiefer, Friedemann;Risse, Benjamin. . ‘SAM meets Gaze: Passive Eye Tracking for Prompt-based Instance Segmentation.’ Proceedings of Machine Learning Research 2023.
    • Haalck, Lars; Risse, Benjamin. . ‘Solving the Plane-Sphere Ambiguity in Top-Down Structure-from-Motion.’ Contributed 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; Risse, Benjamin. . ‘Towards a Dynamic Vision Sensor-based Insect Camera Trap.’ Contributed 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; 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; 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; Hahn T. . ‘A Systematic Evaluation of Machine Learning--Based Biomarkers for Major Depressive Disorder.’ JAMA Psychiatry . doi: 10.1001/jamapsychiatry.2023.5083. [accepted / in Press (not yet published)]
    • Bauer N; Beckmann D; Reinhardt D; Frost N; Bobe S; Erapaneedi R; Risse B; 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. 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.; 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; Risse, Benjamin. . ‘Towards Estimation of 3D Poses and Shapes of Animals from Oblique Drone Imagery.’ Contributed to the ISPRS Technical Commission II Symposium 2024, Las Vegas.
    • Baumberger M; Haas B; Tewes W; Risse B; Meyer N; 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 2024: 106245. doi: 10.1016/j.envsoft.2024.106245.
    • Kockwelp, Pascal; Meyerheim, Marcel; Valkov, Dimitar; Mergen, Marvin; Junga, Anna; Krüger, Antonio; Marschall, Bernhard; Holling, Markus; 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; 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.
    • 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; 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.

    • Hätscher Ole , Junga Anna , Schulze Henriette , Kockwelp Pascal , Risse Benjamin , Back Mitja , Marschall Bernhard. . „Integration of VR into Medical Education (Workshop).“ In Würtual Reality, herausgegeben von 2023 University of Würzburg, Department of Psychology I (Marcusstr. 9-11, 97070 Würzburg), 72. N/A: Selbstverlag / Eigenverlag. doi: 10.25972/OPUS-31720.
    • Barrie, Robert; Haalck, Lars; Risse, Benjamin; Nowotny, Thomas; Graham, Paul; Buehlman, Cornelia. . ‘Trail using ants follow idiosyncratic routes in complex landscapes.’ Learning and Behavior s13420-023-00615. doi: 10.3758/s13420-023-00615-y.
    • Butz, Marco; Abazi, Adrian S.; Ross, Rene; Risse, Benjamin; 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; 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; Risse B. . ‘CATER: Combined Animal Tracking & Environment Reconstruction.’ Science advances 9,  16: eadg2094.
    • Rösler W; Altenbuchinger M; Bae{ß}ler B; Beissbarth T; Beutel G; Bock R; Bubnoff N; Eckardt J; Foersch S; Loeffler CM; 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; Schuck C. . ‘A Universal Approach to Nanophotonic Inverse Design through Reinforcement Learning.’ In CLEO 2023, paper STh4G.3, edited by Optica Publishing Group, STh4G.3. Washington, DC: Optica. doi: 10.1364/CLEO_SI.2023.STh4G.3.
    • Butz, Marco; Leifhelm, Alexander; Becker, Marlon; Risse, Benjamin; Schuck, Carsten. . ‘A Novel Approach to Nanophotonic Black-Box Optimization Through Reinforcement Learning.’ In Q 30 Nano-optics, edited by DPG, 1. Bad Honnef: Deutsche Physikalische Gesellschaft.
    • Kockwelp, Jacqueline; Gromoll, Jörg; Wistuba, Joachim; Risse, Benjamin. . ‘EyeGuide - From Gaze Data to Instance Segmentation.’ Contributed to the The British Machine Vision Conference (BMVC), Aberdeen.
    • Becker, Marlon; Riegelmeyer, Jan; Seyfried, Maximilian; Ravoo, Bart-Jan; Schuck, Carsten; 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; Risse, Benjamin. . ‘Tracking Tiny Insects in Cluttered Natural Environments using Refinable Recurrent Neural Networks.’ Contributed 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, C David; Bhaskaran, Harish; Salinga, Martin; Risse, Benjamin; 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; 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; 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; 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; 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; 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; 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.
    • Schulze Henriette, Junga Anna, Hätscher Ole, Kockwelp Pascal, Risse Benjamin, Holling Markus, Marschall Bernhard.Hirntoddiagnostik in Virtual Reality – was denken Studierende darüber? präsentiert auf der Jahrestagung der Gesellschaft für Medizinische Ausbildung (GMA) 2023, Osnabrück, . doi: 10.3205/23GMA227.
    • Hätscher Ole , Junga Anna , Schulze Henriette , Kockwelp Pascal , Risse Benjamin , Back D. Mitja , Marschall Bernhard.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; 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, Kiefer F. . ‘Volumetric imaging reveals VEGF-C-dependent formation of hepatic lymph vessels in mice.Frontiers in cell and developmental biology 10: 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, Berger K. . ‘An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling.’ Science advances 8,  1: 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, 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, 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, 287–292. New York City: Wiley-IEEE Press.
    • Thiele, Sebastian; Risse, Benjamin. . ‘Narrowing Attention in Capsule Networks.’ In 26th International Conference on Pattern Recognition, edited by IEEE, 2679–2685. New York City: Wiley-IEEE Press.
    • Kockwelp, Jacqueline; Thiele, Sebastian; Kockwelp, Pascal; Bartsch, Jannis; Schliemann, Christoph; Angenendt, Linus; 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), edited by IEEE/CVF, 1825–1834. 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;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; Schuck, Carsten. . ‘Inverse Design of Nanophotonic Devices based on Reinforcement Learning.’ In Q 38 Photonics II, edited by DPG, 2. Bad Honnef: Deutsche Physikalische Gesellschaft.

    • Bian A, Jiang X, Berh D, 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, 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, 195–200. New York City: Wiley-IEEE Computer Society Press. doi: 10.1109/VRW52623.2021.00043.
    • Huesmann Karim, Rodriguez Luis Garcia, Linsen Lars, 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, Risse Benjamin. . ‘Embedded Dense Camera Trajectories in Multi-Video Image Mosaics by Geodesic Interpolation-based Reintegration.’ Contributed to the Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii.
    • Thiele Sebastian, Haalck Lars, Struffert Marvin, Scherber Christoph, Risse Benjamin. . ‘Towards Visual Insect Camera Traps.’ Contributed 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, 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, 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, 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, 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, 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, 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, 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, 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, Risse B. A Multi-Purpose Worm Tracker Based on FIM bioRxiv.
    • Risse B, Mangan M, Webb B.Possibilities, Constraints and Limitations of Image-based Animal Tracking in Natural Environments.’ contributed to the Measuring Behavior, Manchester, UK, . [online first]
    • Risse B, Mangan M, Stürzl W, 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, Risse B. . ‘Deep distance transform to segment visually indistinguishable merged objects.’ Contributed to the Proc. of 40th German Conference on Pattern Recognition (GCPR), Stuttgart.

    • Almeida-Carvalho MJ, Berh D, ......, Jiang X, ......, Risse B, ......, 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, 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, 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, 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, 2840–2849. New York City: Wiley-IEEE Computer Society Press. doi: 10.1109/ICCVW.2017.335.

    • Otto N, Risse B, Berh D, Bittern J, Jiang X, Klämbt C. . ‘Interactions among Drosophila larvae before and during collision.’ Scientific Reports 11,  6: 31564. doi: 10.1038/srep31564.
    • Risse B, Mangan M, Webb B.Tracking, Mapping and Reconstruction. Modelling the Visual Perception of Desert Ants.’ contributed to the Animal Movement International Symposium, Lund, Sweden, .
    • Risse B, Mangan M, Webb B.Habitat3D: Recreating the History of Visual Experience of Individual Insects.’ contributed to the International Congress of Neuroethology, Montevideo, Uruguay, .
    • Risse B, Mangan M, Del Pero L, Webb B.HabiTracks: Visual Tracking of Insects in Their Natural Habitat.’ contributed to the International Congress of Neuroethology, Montevideo, Uruguay, .
    • Risse B, Otto N, Berh D, Jiang X, Kiel M, 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., 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, Klämbt C. . ‘Imaging Modalities for Semi-Translucent Animals and Their Impact on Quantitative Analysis.’ In VAIB Workshop, ICPR, 1–4.
    • B. Risse, N. Otto, D. Berh, X. Jiang, C. Klämbt. . ‘FIM imaging and FIMTrack: Two new tools allowing high-throughput and cost effective locomotion analysis.’ Journal of Visualized Experiments 94.
    • U. Lammel, M. Bechtold, B. Risse B, D. Berh, A. Fleige, I. Bunse, X. Jiang, C. Klämbt, S. Bogdan. . ‘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, 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, Klämbt C.FIM2C and the Analysis of Collision Behavior.’ contributed 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, Schäfers K. . ‘Biomedical Imaging: a Computer Vision Perspective.’ In Computer Analysis of Images and Patterns, edited by R. Wilson et al.: CAIP 2013, 1–19. Düsseldorf: Springer VDI Verlag.
    • Risse B, Jiang X, Klämbt C. . ‘FIM: Frustrated Total Internal Reflection Based Imaging for Biomedical Applications.’ ERCIM News 95,  Image Understanding: 11–12.
    • M. Sander, A.J. Squarr, B. Risse, X. Jiang, S. Bogdan. . ‘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.
    • B. Risse, S. Thomas, N. Otto, T. Löpmeier, D. Valkov, X. Jiang, C. Klämbt. . ‘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, 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, Klämbt C.Tracking of Colliding Larvae.’ contributed to the Conference on Neurobiology of Drosophila, New York, USA, .

    • Schmidt I, Thomas S, Kain P, Risse B, Naffin E, 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, Klette R. . ‘3D Trajectory Estimation of Simulated Fruit Flies.’ In Proc 27th IVCNZ, Dunedin 2012.
    • Risse B, Thomas S, Jiang X, Klämbt C.FIM: FTIR Based Image Acquisition and Tracking.’ contributed to the Conference on Behavioral Neurogenetics of Drosophila Larva (Maggot Meeting), Ashburn, USA, .
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