Samuel J. Yang

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 6

Top Topics

Machine Learning

Fluorescence Microscopy

Top Venues

ACM Trans. Graph.

Publications

Subhashini Venugopalan, Jimmy Tobin, Samuel J. Yang, Katie Seaver, Richard J. N. Cave, Pan-Pan Jiang, Neil Zeghidour, Rus Heywood, Jordan R. Green, Michael P. Brenner
Speech Intelligibility Classifiers from 550k Disordered Speech Samples. ICASSP (2023)
Subhashini Venugopalan, Jimmy Tobin, Samuel J. Yang, Katie Seaver, Richard J. N. Cave, Pan-Pan Jiang, Neil Zeghidour, Rus Heywood, Jordan R. Green, Michael P. Brenner
Speech Intelligibility Classifiers from 550k Disordered Speech Samples. CoRR (2023)
Colin L. V. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer
Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy. ICCV (2021)
Colin L. V. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer
Physics-enhanced machine learning for virtual fluorescence microscopy. CoRR (2020)
Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel J. Yang, Anton Gerashcenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, Joao Pereira, Michael Brenner, Lee Rubin, Brian Wainger, Marc Berndl
It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets. CoRR (2019)
Samuel J. Yang, Marc Berndl, D. Michael Ando, Mariya Barch, Arunachalam Narayanaswamy, Eric Christiansen, Stephan Hoyer, Chris Roat, Jane Hung, Curtis T. Rueden, Asim Shankar, Steven Finkbeiner, Philip Nelson
Assessing microscope image focus quality with deep learning. BMC Bioinform. 19 (1) (2018)
Isaac Kauvar, Samuel J. Yang, Liang Shi, Ian McDowall, Gordon Wetzstein
Adaptive color display via perceptually-driven factored spectral projection. ACM Trans. Graph. 34 (6) (2015)