Junting Ai

According to our database, Junting Ai authored at least 5 papers between 2020 and 2023.

Collaborative distances:

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

2023

Convolutional neural networks detect cells in densely packed images at performance levels similar to human readers.

Madeleine S. Durkee, Nevaeh Petrie, Kyle Lleras, Junting Ai, Rebecca Abraham, J. Cy Chittenden, Chasity Kasir, Fiona Clark, Gabriel Casella, Marcus R. Clark, Maryellen L. Giger

Proceedings of the Medical Imaging 2023: Image Perception, 2023

2021

Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease.

Bradie M. Ferguson, Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Hui Li, Li Lan, Julian Bertini, Marcus R. Clark, Maryellen L. Giger

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

Managing class imbalance and differential staining of immune cell populations in multi-class instance segmentation of multiplexed immunofluorescence images of Lupus Nephritis biopsies.

Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Marcus R. Clark, Maryellen L. Giger

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

Application and generalizability of U-Net segmentation of immune cells in inflamed tissue.

Rebecca Abraham, Madeleine S. Durkee, Margaret Veselits, Junting Ai, Jordan D. Fuhrman, Marcus R. Clark, Maryellen L. Giger

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

2020

Improved instance segmentation of immune cells in human lupus nephritis biopsies with Mask R-CNN.

Madeleine S. Durkee, Adam R. Sibley, Junting Ai, Rebecca Abraham, Vladimir M. Liarski, Marcus R. Clark, Maryellen L. Giger

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020