| 2025 | ICLR | Contextualizing biological perturbation experiments through language. | Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter |
| 2024 | CVPR | Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening. | Mahtab Bigverdi, Burkhard Hckendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond |
| 2024 | CVPR | Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images. | Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond |
| 2020 | MICCAI | Multi-task Learning for Detection and Classification of Cancer in Screening Mammography. | Maria V. Sainz de Cea, Karl Diedrich, Ran Bakalo, Lior Ness, David Richmond |
| 2020 | MICCAI | Multi-site Evaluation of a Study-Level Classifier for Mammography Using Deep Learning. | Dustin Sargent, Sun Young Park, Amod Jog, Aly A. Mohamed, David Richmond |
| 2018 | ECCV | Pre-training on Grayscale ImageNet Improves Medical Image Classification. | Yiting Xie, David Richmond |