Dr. James Browning Profile

Dr. James Browning

at Rockefeller Univ

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Author

Publications (5)

SPIE Journal Paper | 27 November 2020 Open Access

Deep learning-level melanoma detection by interpretable machine learning and imaging biomarker cues

Daniel Gareau, James Browning, Joel Correa Da Rosa, Mayte Suarez-Farinas, Samantha Lish , Amanda Zong, Benjamin Firester, Charles Vrattos, Yael Renert-Yuval, Mauricio Gamboa, María Vallone, Zamira Barragán-Estudillo, Alejandra Tamez-Peña, Javier Montoya, Miriam Jesús-Silva, Cristina Carrera, Josep Malvehy, Susana Puig, Ashfaq Marghoob, John Carucci, James Krueger

JBO, Vol. 25, Issue 11, 112906, (November 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.11.112906

KEYWORDS: Melanoma, Diagnostics, Machine learning, Data modeling, Visualization, Skin, Sensors, Image analysis, Dermatology, Binary data

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Proceedings Article | 9 March 2020 Presentation

AI-driven imaging biomarkers for sensory cue integration during melanoma screening (Conference Presentation)

Daniel Gareau, Charles Vrattos, James Browning, Samantha Lish, Benjamin Firester, James Krueger

Proceedings Volume 11230, 112300U (2020) https://doi.org/10.1117/12.2550189

KEYWORDS: Melanoma, Optical sensors, Image sensors, Sensors, Diagnostics, Artificial intelligence, Transparency, Visualization, Biological research, Visual analytics

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Proceedings Article | 9 March 2020 Presentation

Imaging biomarkers quantify therapeutic effect in 3D-printed skin cancer constructs (Conference Presentation)

Daniel Gareau, James Browning, Marc Ferrer, John Carucci, Samantha Lish

Proceedings Volume 11243, 112431G (2020) https://doi.org/10.1117/12.2550832

KEYWORDS: Skin cancer, Tissues, Animal testing, Tumors, Molecules, 3D image processing, Skin, Confocal microscopy, Multimodal imaging, Cancer

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Proceedings Article | 9 March 2020 Presentation

Digital imaging biomarkers for quantitative guidance of pluripotent stem cell passaging (Conference Presentation)

Daniel Gareau, Jack Tapay, Tomomi Haremaki, James Browning

Proceedings Volume 11243, 112430J (2020) https://doi.org/10.1117/12.2550829

KEYWORDS: Stem cells, Digital imaging, Algorithm development, Medical research, Image segmentation, Detection and tracking algorithms, Cell death, Analytical research, Error analysis, Machine learning

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Proceedings Article | 26 February 2020 Presentation + Paper

Detecting nodular basal cell carcinoma in pathology imaging using deep learning image segmentation

Jeannie Ren, Rivka Lax, James Krueger, James Browning, John Carucci, Kevin White, Samantha Lish, Daniel Gareau

Proceedings Volume 11211, 112110D (2020) https://doi.org/10.1117/12.2549950

KEYWORDS: Image segmentation, Pathology, Microscopes, Tumor growth modeling, Data modeling, Tissues, Machine learning, Tumors, Skin cancer, Diagnostics

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