Mr. Jonathan Folmsbee Profile

Jonathan Folmsbee

at Univ at Buffalo

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Author

Publications (6)

Proceedings Article | 7 April 2023 Presentation + Paper

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

Jonathan Folmsbee, Margaret Brandwein-Weber, Scott Doyle

Proceedings Volume 12471, 1247112 (2023) https://doi.org/10.1117/12.2654301

KEYWORDS: Tumors, Image segmentation, Education and training, Tissues, Image fusion, Cancer, Semantics, Pathology, Artificial intelligence, Data modeling

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Proceedings Article | 4 April 2022 Presentation + Paper

Automatic flagging of AI segmentation errors in computational pathology

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

Proceedings Volume 12039, 1203907 (2022) https://doi.org/10.1117/12.2613194

KEYWORDS: Image segmentation, Tumors, Artificial intelligence, Satellites, Tissues, Feature extraction, Pathology, Evolutionary algorithms, Statistical analysis, Cancer

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Proceedings Article | 4 April 2022 Presentation

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 Volume 12039, 1203912 (2022) https://doi.org/10.1117/12.2613253

KEYWORDS: Image segmentation, Pathology, Tumors, Image resolution, Digital imaging

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Proceedings Article | 15 February 2021 Presentation + Paper

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

Jonathan Folmsbee, Margaret Brandwein-Weber, Scott Doyle

Proceedings Volume 11603, 116030G (2021) https://doi.org/10.1117/12.2581229

KEYWORDS: Pathology, Image segmentation, Data modeling

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

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 Volume 11603, 116030X (2021) https://doi.org/10.1117/12.2581153

KEYWORDS: Tumors, Satellites, Cancer, Machine vision, Human vision and color perception, Computer vision technology, Tissues

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Proceedings Article | 18 March 2019 Paper

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 Volume 10956, 1095613 (2019) https://doi.org/10.1117/12.2512992

KEYWORDS: Tissues, Pathology, Image processing, 3D modeling, Neural networks, Image classification, Tumors, RGB color model, Digital imaging, Light sources and illumination

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Showing 5 of 6 publications

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