Imperfect Segmentation Labels: How Much Do They Matter? - Nicholas Heller; Joshua Dean; Nikolaos Papanikolopoulos (CVII-STENT/LABELS@MICCAI, 2018)

The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes. - Nicholas Heller; Niranjan Sathianathen; Arveen Kalapara; Edward Walczak; Keenan Moore; Heather Kaluzniak; Joel Rosenberg; Paul Blake; Zachary Rengel; Makinna Oestreich; Joshua Dean; Michael Tradewell; et al. (CoRR, 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)