Harsha Pokkalla

发表

Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab

Dayong Wang, B. Glass, M. Montalto, 2022, Modern Pathology.

Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab

A. Khosla, Dayong Wang, B. Glass, 2022, Modern Pathology.

Rethinking Machine Learning Model Evaluation in Pathology

S. Javed, S. Chakraborty, Dinkar Juyal, 2022, ArXiv.

A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH

A. Khosla, V. Wong, O. Carrasco-Zevallos, 2021, Hepatology.

AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials

I. Wapinski, A. Taylor-Weiner, H. Elliott, 2023, medRxiv.

A Machine Learning Approach to Liver Histological Evaluation Predicts Clinically Significant Portal Hypertension in NASH Cirrhosis

O. Carrasco-Zevallos, D. Rockey, M. Montalto, 2021, Hepatology.

PLUTO: Pathology-Universal Transformer

Darpan T. Sanghavi, S. Grullon, Guillaume Chhor, 2024, ArXiv.

Interpretability analysis on a pathology foundation model reveals biologically relevant embeddings across modalities

S. Grullon, Dinkar Juyal, Harsha Pokkalla, 2024, ArXiv.