S.-T. Hung, A. Llobet Rosell, D. Jurriens, M. Siemons, O. Soloviev, L. C. Kapitein, K. Grußmayer, L. J. Neukomm, M. Verhaegen and C. S. Smith (2022). Adaptive optics in single objective inclined light sheet microscopy enables three-dimensional localization microscopy in whole adult Drosophila brains. Frontiers in Neuroscience. [https://www.frontiersin.org/articles/10.3389/fnins.2022.954949/full]
S.-T. Hung, J. Cnossen, D. Fan, M. Siemons, D. Jurriens, K. Grußmayer, O. Soloviev, L. C. Kapitein, and C. S. Smith (2022). SOLEIL: single-objective lens inclined light sheet localization microscopy. Biomed. Opt. Express. [https://opg.optica.org/boe/fulltext.cfm?uri=boe-13-6-3275&id=472719]
You, L. et al (2022). Linking the genotypes and phenotypes of cancer cells in heterogenous populations via real-time optical tagging and image analysis Nature Biomedical Engineering. Nature Biomedical Engineering. [https://pubmed.ncbi.nlm.nih.gov/35301448/]
Conferences
Napolean, Y., Marwade, A., Tomen, N., Alkemade, P., Eijsvogels, T. and Van Gemert, J.C. (2022). Heart rate estimation in intense exercise videos. IEEE International Conference on Image Processing (ICIP). [https://ieeexplore.ieee.org/abstract/document/9897604]
Zeng, L., Lengyel, A., Tomen, N. and Van Gemert, J.C. (2022). Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation. 33rd British Machine Vision Conference (BMVC), London UK. [https://bmvc2022.mpi-inf.mpg.de/893/]
Tomen, N., Van Gemert, J.C. (2021). Spectral leakage and rethinking the kernel size in CNNs. IEEE/CVF International Conference on Computer Vision (ICCV). [https://arxiv.org/abs/2101.10143]
Saldanha, N., Pintea, S.L., Van Gemert, J.C. and Tomen, N. (2021). Frequency learning for structured CNN filters with Gaussian fractional derivatives. 32nd British Machine Vision Conference (BMVC). [1415.pdf (bmvc2021-virtualconference.com)]
Iqbal, S., Schröder de Witt, C., Peng, B., Böhmer, W., Whiteson, S. and Sha, F. (2021). Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning. International Conference on Machine Learning (ICML). [https://arxiv.org/abs/2006.04222]
Igl, M., Farquhar, G., Luketina, J., Böhmer, W. and Whiteson, S. (2021). Transient Nonstationarity and Generalisation in Deep Reinforcement Learning. International Conference on Learning Representations (ICLR), Vienna, Austria. [https://openreview.net/forum?id=Qun8fv4qSby]
Kurin, V., Igl, M., Rocktäschel, T., Böhmer, W. and Whiteson, S. (2021). My Body is a Cage: the Role of Morphology in Graph-based Incompatible Control. International Conference on Learning Representations (ICLR), Vienna, Austria. [https://openreview.net/forum?id=N3zUDGN5lO]
