Accelerating numerical solution of stochastic differential equations with CUDA. - Michal Januszewski; M. Kostur (Comput. Phys. Commun., 2010)

Sailfish: A flexible multi-GPU implementation of the lattice Boltzmann method. - Michal Januszewski; M. Kostur (Comput. Phys. Commun., 2014)

GPU-based acceleration of free energy calculations in solid state physics. - Michal Januszewski; Andrzej Ptok; Dawid Crivelli; Bartlomiej Gardas (Comput. Phys. Commun., 2015)

Combinatorial Energy Learning for Image Segmentation. - Jeremy B. Maitin-Shepard; Viren Jain; Michal Januszewski; Peter Li; Pieter Abbeel (NIPS, 2016)

Flood-Filling Networks. - Michal Januszewski; Jeremy Maitin-Shepard; Peter Li; Jörgen Kornfeld; Winfried Denk; Viren Jain (CoRR, 2016)

Neuronal Subcompartment Classification and Merge Error Correction. - Hanyu Li; Michal Januszewski; Viren Jain; Peter H. Li (MICCAI (5), 2020)

ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish. - 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; et al. (ICLR, 2025)

Forecasting Whole-Brain Neuronal Activity from Volumetric Video. - 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; et al. (CoRR, 2025)