A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy. - Avinash Kammardi Shashiprakash; Brendon Lutnick; Brandon Ginley; Darshana Govind; Nicholas J. Lucarelli; Kuang-Yu Jen; Avi Z. Rosenberg; Anatoly Urisman; Vighnesh Walavalkar; Jonathan E. Zuckerman; Marco Delsante; Mei Lin Z. Bissonnette; et al. (Digital Pathology, 2021)

Automated tubular morphometric visualization for whole kidney biopsy. - Neil Kavthekar; Brandon Ginley; Samuel P. Border; Nicholas J. Lucarelli; Kuang-Yu Jen; Pinaki Sarder (Digital and Computational Pathology, 2022)

Computational integration of renal histology and urinary proteomics using neural networks. - Nicholas J. Lucarelli; Donghwan Yun; Dohyun Han; Brandon Ginley; Kyung Chul Moon; Avi Rosenberg; John Tomaszewski 001; Seung Seok Han; Pinaki Sarder (Digital and Computational Pathology, 2022)

Predicting Papillary Renal Cell Carcinoma Prognosis Using Integrative Analysis of Histopathological Images and Genomic Data. - Shaira Limson Kee; Michael Aaron G. Sy; Samuel P. Border; Nicholas J. Lucarelli; Akshita Gupta; Pinaki Sarder; Marvin C. Masalunga; Myles Joshua Toledo Tan (IWBBIO (2), 2023)

Automated reference kidney histomorphometry using a panoptic segmentation neural network correlates to patient demographics and creatinine. - Brandon Ginley; Nicholas J. Lucarelli; Jarcy Zee; Sanjay Jain 006; Seung Seok Han; Luis Rodrigues; Michelle L. Wong; Kuang-Yu Jen; Pinaki Sarder (Digital and Computational Pathology, 2023)

Generative modeling of histology tissue reduces human annotation effort for segmentation model development. - Brendon Lutnick; Nicholas J. Lucarelli; Pinaki Sarder (Digital and Computational Pathology, 2023)

Spatially aware transformer networks for contextual prediction of diabetic nephropathy progression from whole slide images. - Benjamin Shickel; Nicholas J. Lucarelli; Adish Rao; Donghwan Yun; Kyung Chul Moon; Seung Seok Han; Pinaki Sarder (Digital and Computational Pathology, 2023)