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Yasodha Natkunam
Publication Activity (10 Years)
Years Active: 2008-2023
Publications (10 Years): 3
Top Topics
High Precision
Image Set
Extracted Features
Classification Process
Top Venues
CoRR
ML4H@NeurIPS
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Publications
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Vivek Shankar
,
Xiaoli Yang
,
Vrishab Krishna
,
Brent Tan
,
Oscar Silva
,
Rebecca Rojansky
,
Andrew Y. Ng
,
Fabiola Valvert
,
Edward Briercheck
,
David Weinstock
,
Yasodha Natkunam
,
Sebastian Fernandez-Pol
,
Pranav Rajpurkar
LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype.
CoRR
(2023)
Vivek Shankar
,
Xiaoli Yang
,
Vrishab Krishna
,
Brent Tan
,
Oscar Silva
,
Rebecca Rojansky
,
Andrew Y. Ng
,
Fabiola Valvert
,
Edward Briercheck
,
David Weinstock
,
Yasodha Natkunam
,
Sebastian Fernandez-Pol
,
Pranav Rajpurkar
LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype.
ML4H@NeurIPS
(2023)
Damir Vrabac
,
Akshay Smit
,
Rebecca Rojansky
,
Yasodha Natkunam
,
Ranjana H. Advani
,
Andrew Y. Ng
,
Sebastian Fernandez-Pol
,
Pranav Rajpurkar
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set.
CoRR
(2020)
Robert J. Marinelli
,
Kelli Montgomery
,
Chih Long Liu
,
Nigam H. Shah
,
Wijan Prapong
,
Michael Nitzberg
,
Zachariah K. Zachariah
,
Gavin Sherlock
,
Yasodha Natkunam
,
Robert B. West
,
Matt van de Rijn
,
Patrick O. Brown
,
Catherine A. Ball
The Stanford Tissue Microarray Database.
Nucleic Acids Res.
36 (Database-Issue) (2008)