DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set. - Damir Vrabac; Akshay Smit; Rebecca Rojansky; Yasodha Natkunam; Ranjana H. Advani; Andrew Y. Ng; Sebastian Fernandez-Pol; Pranav Rajpurkar (CoRR, 2020)

Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine. - Grace Y. E. Kim; Morteza Noshad; Henning Stehr; Rebecca Rojansky; Dita Gratzinger; Jean Oak; Rondeep Brar; David Iberri; Christina Kong; James L. Zehnder; Jonathan H. Chen (AMIA, 2021)

Biological data annotation via a human-augmenting AI-based labeling system. - Douwe van der Wal; Iny Jhun; Israa Laklouk; Jeffrey J. Nirschl; Lara Richer; Rebecca Rojansky; Talent Theparee; Joshua Wheeler; Jörg Sander 003; Felix Y. Feng; Osama Mohamad; Silvio Savarese; et al. (npj Digit. Medicine, 2021)

LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype. - Vivek Shankar; Xiaoli Yang; Vrishab Krishna; Brent Tan; Oscar Silva; Rebecca Rojansky; Andrew Y. Ng; Fabiola Valvert; Edward Briercheck; David Weinstock; Yasodha Natkunam; Sebastian Fernandez-Pol; et al. (ML4H@NeurIPS, 2023)