Kuang-Yu Jen

According to our database, Kuang-Yu Jen authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

exKidneyBERT: a language model for kidney transplant pathology reports and the crucial role of extended vocabularies.

Tiancheng Yang, Ilia Sucholutsky, Kuang-Yu Jen, Matthias Schonlau

PeerJ Comput. Sci., 2024

Label-free evaluation of lung and heart transplant biopsies using virtual staining.

Yuzhu Li, Nir Pillar, Tairan Liu, Guangdong Ma, Yuxuan Qi, Kevin de Haan, Yijie Zhang, Xilin Yang, Adrian J. Correa, Guangqian Xiao, Kuang-Yu Jen, Kenneth A. Iczkowski, Yulun Wu, William Dean Wallace, Aydogan Ozcan

CoRR, 2024

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

Improving quantification of renal fibrosis using deep-DUET.

Samuel P. Border, Avi Rosenberg, Jarcy Zee, Richard M. Levenson, Kuang-Yu Jen, Pinaki Sarder, Farzad Fereidouni

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

2022

A cloud-based tool for federated segmentation of whole slide images.

Brendon Lutnick, David Manthey, Jan U. Becker, Jonathan E. Zuckerman, Luis Rodrigues, Kuang Yu Jen, 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

In silico multi-compartment detection based on multiplex immunohistochemical staining in renal pathology.

Kuang-Yu Jen, Leema Krishna Murali, Brendon Lutnick, Brandon Ginley, Darshana Govind, Hidetoshi Mori, Guofeng Gao, Pinaki Sarder

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

Automated detection and quantification of Wilms' Tumor 1-positive cells in murine diabetic kidney disease.

Darshana Govind, Briana A. Santo, Brandon Ginley, Rabi Yacoub, Avi Z. Rosenberg, Kuang-Yu Jen, Vighnesh Walavalkar, Gregory E. Wilding, Amber M. Worral, Imtiaz Mohammad, Pinaki Sarder

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

2020

Neural Network Segmentation of Interstitial Fibrosis, Tubular Atrophy, and Glomerulosclerosis in Renal Biopsies.

Brandon Ginley, Kuang-Yu Jen, Avi Rosenberg, Felicia Yen, Sanjay Jain, Agnes B. Fogo, Pinaki Sarder

CoRR, 2020

Generative modeling for label-free glomerular modeling and classification.

Brendon Lutnick, Brandon Ginley, Kuang-Yu Jen, Wen Dong, Pinaki Sarder

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Deep learning-based automated hot-spot detection and tumor grading in human gastrointestinal neuroendocrine tumor.

Darshana Govind, Kuang-Yu Jen, Pinaki Sarder

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Fully automated classification of glomerular lesions in lupus nephritis.

Brandon Ginley, Kuang-Yu Jen, Avi Rosenberg, Giovanni Maria Rossi, Sanjay Jain, Pinaki Sarder

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Probabilistic modelling of diabetic nephropathy progression.

Samuel P. Border, Kuang-Yu Jen, Washington L. C. dos-Santos, John Tomaszewski, Pinaki Sarder

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

2019

An integrated iterative annotation technique for easing neural network training in medical image analysis.

Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John Tomaszewski, Kuang-Yu Jen, Pinaki Sarder

Nat. Mach. Intell., 2019

Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models.

Aurijoy Majumdar, Kuang-Yu Jen, Sanjay Jain, John Tomaszewski, Pinaki Sarder

Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

2018

Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis.

Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John Tomaszewski, Kuang-Yu Jen, Pinaki Sarder

CoRR, 2018

Deep variational auto-encoders for unsupervised glomerular classification.

Brendon Lutnick, Rabi Yacoub, Kuang-Yu Jen, John Tomaszewski, Sanjay Jain, Pinaki Sarder

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Computational analysis of the structural progression of human glomeruli in diabetic nephropathy.

Brandon G. Ginley, John Tomaszewski, Kuang-Yu Jen, Agnes B. Fogo, Sanjay Jain, Pinaki Sarder

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018