A Likelihood-based Convolution Approach to Estimate Event Occurrences in Large Longitudinal Incomplete Clinical Data. - Lisiane Pruinelli; Bethany Stai; Sisi Ma; Timothy Pruett; György J. Simon (ICHI, 2019)

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. - Nicholas Heller; Fabian Isensee; Klaus H. Maier-Hein; Xiaoshuai Hou; Chunmei Xie; Fengyi Li; Yang Nan 002; Guangrui Mu; Zhiyong Lin; Miofei Han; Guang Yao; Yaozong Gao; et al. (CoRR, 2019)

Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge. - Niranjan Sathianathen; Nicholas Heller; Resha Tejpaul; Bethany Stai; Arveen Kalapara; Jack Rickman; Joshua Dean; Makinna Oestreich; Paul Blake; Heather Kaluzniak; Shaneabbas Raza; Joel Rosenberg; et al. (Frontiers Digit. Health, 2021)

A likelihood-based convolution approach to estimate major health events in longitudinal health records data: an external validation study. - Lisiane Pruinelli; Jiaqi Zhou 007; Bethany Stai; Jesse Schold; Timothy Pruett; Sisi Ma; György J. Simon (J. Am. Medical Informatics Assoc., 2021)