Practical fluorescence reconstruction microscopy for large samples and low-magnification imaging. - Julienne LaChance; Daniel J. Cohen (PLoS Comput. Biol., 2020)

Exploring Why Underrepresented Students Are Less Likely to Study Machine Learning and Artificial Intelligence. - Daphne Barretto; Julienne LaChance; Emanuelle Burton; Soohyun Nam Liao (ITiCSE (1), 2021)

Machine Learning for Mechanical Ventilation Control. - Daniel Suo; Cyril Zhang; Paula Gradu; Udaya Ghai; Xinyi Chen 001; Edgar Minasyan; Naman Agarwal; Karan Singh; Julienne LaChance; Tom Zajdel; Manuel Schottdorf; Daniel J. Cohen; et al. (CoRR, 2021)

Machine Learning for Mechanical Ventilation Control (Extended Abstract). - Daniel Suo; Cyril Zhang; Paula Gradu; Udaya Ghai; Xinyi Chen 001; Edgar Minasyan; Naman Agarwal; Karan Singh; Julienne LaChance; Tom Zajdel; Manuel Schottdorf; Daniel J. Cohen; et al. (CoRR, 2021)

Machine learning and statistical analysis of the collective behaviors of large tissues - Julienne LaChance (2021)

Learning the rules of collective cell migration using deep attention networks. - Julienne LaChance; Kevin Suh; Jens Clausen; Daniel J. Cohen (PLoS Comput. Biol., 2022)

Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data. - Keziah Naggita; Julienne LaChance; Alice Xiang (AIES, 2023)

A case for data valuation transparency via DValCards. - Keziah Naggita; Julienne LaChance (CoRR, 2025)