Nicholas J. Lucarelli

According to our database, Nicholas J. Lucarelli authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Proceedings of the Medical Imaging 2023: 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

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 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, Seung Seok Han, Luis Rodrigues, Michelle L. Wong, Kuang-Yu Jen, Pinaki Sarder

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

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

Proceedings of the Bioinformatics and Biomedical Engineering, 2023

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, Seung Seok Han, Pinaki Sarder

Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

Automated tubular morphometric visualization for whole kidney biopsy.

Neil Kavthekar, Brandon Ginley, Samuel P. Border, Nicholas J. Lucarelli, Kuang-Yu Jen, Pinaki Sarder

Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

2021

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, John Tomaszewski, David Manthey, Pinaki Sarder

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021