ML Research

Our ML research team brings experience from institutions including Stanford, the University of Washington, and other leading centers of AI innovation. Together, we’ve published in NeurIPS, ICLR, CVPR, ACL, Nature Medicine, and other top venues, advancing the science behind trustworthy medical imaging AI.

Jun 1, 2026

Automated Structured Report Generation

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Vol. 1: Long Papers)

Jean-Benoit Delbrouck, Justin Xu, Johannes Moll, Alois Thomas, Zhihong Chen, Sophie Ostmeier, Asfandyar Azhar, Kelvin Zhenghao Li, Andrew Johnston, Christian Bluethgen, Eduardo Pontes Reis, Mohamed S Muneer, Maya Varma, and Curtis Langlotz

Apr 1, 2025

MRI-based Radiomic Features for Risk Stratification of Ductal Carcinoma in Situ in a Multicenter Setting (ECOG-ACRIN E4112 Trial)

Radiology Volume 315, No. 1 – 2025

Kalina P. Slavkova*, Ruya Kang*, Anum Kazerouni, Debosmita Biswas, Vivian Belenky, Rhea Chitalia, Hannah Horng, Michael Hirano, Jennifer Xiao, Ralph Corsetti, Sara Javid, Derrick Spell, Antonio Wolff, Joseph Sparano, Seema Khn, Christopher Comstock, Justin Romanoff, Constantine Gatsonis, Constance Lehman, Savannah Partridge, Jon Steingrimsson, Despina Kontos, Habib Rahbar