Jessica Loo

According to our database, Jessica Loo authored at least 4 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Prediction of KRAS mutation status from H&E foundation model embeddings in non-small cell lung cancer.

Marc Robbins, Jessica Loo, Saurabh Vyawahare, Yang Wang, Carson McNeil, David F. Steiner, Sudha Rao, Pok Fai Wong, Ehud Rivlin, Shamira Weaver, Roman Goldenberg

Proceedings of the MICCAI Workshop on Computational Pathology, 2024

2023

Domain-specific optimization and diverse evaluation of self-supervised models for histopathology.

Jeremy Lai, Faruk Ahmed, Supriya Vijay, Tiam Jaroensri, Jessica Loo, Saurabh Vyawahare, Saloni Agarwal, Fayaz Jamil, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Jonathan Krause, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, David F. Steiner

CoRR, 2023

2022

Deep Learning Image Analysis Framework for Clinical Management of Retinal and Corneal Diseases.

Jessica Loo

PhD thesis, 2022

2021

Open-Source Automatic Segmentation of Ocular Structures and Biomarkers of Microbial Keratitis on Slit-Lamp Photography Images Using Deep Learning.

Jessica Loo, Matthias F. Kriegel, Megan M. Tuohy, Kyeong Hwan Kim, Venkatesh Prajna, Maria A. Woodward, Sina Farsiu

IEEE J. Biomed. Health Informatics, 2021