Asymmetric bias in user guided segmentations of brain structures. - Martin Styner; Rachel Gimpel Smith; Michael M. Graves; Matthew W. Mosconi; Sarah Peterson; Scott White; Joseph Blocher; Mohammed El-Sayed; Heather Cody Hazlett (Image Processing, 2007)

Asymmetric bias in user guided segmentations of brain structures. - Eric A. Maltbie; Kshamta Bhatt; Beatriz Paniagua; Rachel Gimpel Smith; Michael M. Graves; Matthew W. Mosconi; Sarah Peterson; Scott White; Joseph Blocher; Mohammed El-Sayed; Heather Cody Hazlett; Martin Andreas Styner (NeuroImage, 2012)

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)

Concordance of Computed Tomography Regional Body Composition Analysis Using a Fully Automated Open-Source Neural Network versus a Reference Semi-Automated Program with Manual Correction. - Sandra L. Gomez-Perez; Yanyu Zhang; Cecily Byrne; Connor Wakefield; Thomas Geesey; Joy Sclamberg; Sarah Peterson (Sensors, 2022)