Jonathan Folmsbee

According to our database, Jonathan Folmsbee authored at least 7 papers between 2018 and 2023.

Collaborative distances:

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

2023

Combining multiple ground truth annotations for segmentation training for oral cavity cancer.

Jonathan Folmsbee, Margaret Brandwein-Weber, Scott Doyle

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

2022

Cloud-based platform for human-in-the-loop re-annotation of whole slide imaging: large scale semantic pathology segmentation.

Jonathan Folmsbee, Scott Doyle, Rakesh Choudhary, Margaret Brandwein-Weber, Jawaria Rahman

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

Automatic flagging of AI segmentation errors in computational pathology.

Rakesh Choudhary, Dhadma Balachandran, Jonathan Folmsbee, Jawaria Rahman, Margaret Brandwein-Weber, Scott Doyle

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

2021

Whole slide semantic segmentation: large scale active learning for digital pathology.

Jonathan Folmsbee, Margaret Brandwein-Weber, Scott Doyle

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

Comparing architectural features between heuristically human-annotated and Artificial Intelligence (AI) generated tumor and satellite labels in early-stage oral cavity cancer.

Dhadma Balachandran, Margaret Brandwein-Weber, Jonathan Folmsbee, Scott Doyle

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

2019

Fragile neural networks: the importance of image standardization for deep learning in digital pathology.

Jonathan Folmsbee, Starr Johnson, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle

Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

2018

Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancer.

Jonathan Folmsbee, Xulei Liu, Margaret Brandwein-Weber, Scott Doyle

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018