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, Pranav Rajpurkar. LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype. In Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Tom Hartvigsen, Harvineet Singh, editors, Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA. Volume 225 of Proceedings of Machine Learning Research, pages 528-558, PMLR, 2023. [doi]
@inproceedings{ShankarYKTSRNVB23,
title = {LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype},
author = {Vivek Shankar and Xiaoli Yang and Vrishab Krishna and Brent Tan and Oscar Silva and Rebecca Rojansky and Andrew Y. Ng and Fabiola Valvert and Edward Briercheck and David Weinstock and Yasodha Natkunam and Sebastian Fernandez-Pol and Pranav Rajpurkar},
year = {2023},
url = {https://proceedings.mlr.press/v225/shankar23a.html},
researchr = {https://researchr.org/publication/ShankarYKTSRNVB23},
cites = {0},
citedby = {0},
pages = {528-558},
booktitle = {Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA},
editor = {Stefan Hegselmann and Antonio Parziale and Divya Shanmugam and Shengpu Tang and Mercy Nyamewaa Asiedu and Serina Chang and Tom Hartvigsen and Harvineet Singh},
volume = {225},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}