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2020 – today
- 2025
[c3]Jan-Matthis Lueckmann, Alexander Immer, Alex Bo-Yuan Chen, Peter H. Li, Mariela D. Petkova, Nirmala A. Iyer, Luuk Willem Hesselink, Aparna Dev, Gudrun Ihrke, Woohyun Park, Alyson Petruncio, Aubrey Weigel, Wyatt Korff, Florian Engert, Jeff Lichtman, Misha B. Ahrens, Michal Januszewski, Viren Jain:
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish. ICLR 2025- [i3]Alexander Immer, Jan-Matthis Lueckmann, Alex Bo-Yuan Chen, Peter H. Li, Mariela D. Petkova, Nirmala A. Iyer, Aparna Dev, Gudrun Ihrke, Woohyun Park, Alyson Petruncio, Aubrey Weigel, Wyatt Korff, Florian Engert, Jeff W. Lichtman, Misha B. Ahrens, Viren Jain, Michal Januszewski:
Forecasting Whole-Brain Neuronal Activity from Volumetric Video. CoRR abs/2503.00073 (2025) - [i2]Jan-Matthis Lueckmann, Alexander Immer, Alex Bo-Yuan Chen, Peter H. Li, Mariela D. Petkova, Nirmala A. Iyer, Luuk Willem Hesselink, Aparna Dev, Gudrun Ihrke, Woohyun Park, Alyson Petruncio, Aubrey Weigel, Wyatt Korff, Florian Engert, Jeff W. Lichtman, Misha B. Ahrens, Michal Januszewski, Viren Jain:
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish. CoRR abs/2503.02618 (2025) - 2022
- [c2]Diptodip Deb, Zhenfei Jiao, Ruth R. Sims, Alex B. Chen, Michael Broxton, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga:
FourierNets enable the design of highly non-local optical encoders for computational imaging. NeurIPS 2022 - [c1]Xuelong Mi, Mengfan Wang, Alex Bo-Yuan Chen, Jing-Xuan Lim, Yizhi Wang, Misha B. Ahrens, Guoqiang Yu:
BILCO: An Efficient Algorithm for Joint Alignment of Time Series. NeurIPS 2022 - 2021
- [i1]Diptodip Deb, Zhenfei Jiao, Alex B. Chen, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga:
Programmable 3D snapshot microscopy with Fourier convolutional networks. CoRR abs/2104.10611 (2021)
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