David E. Freund

Publication Activity (10 Years)

Years Active: 2008-2018
Publications (10 Years): 5

Top Topics

Weakly Supervised

Top Venues

Comput. Biol. Medicine

Publications

Michael J. Pekala, Neil Joshi, David E. Freund, Neil M. Bressler, Delia Cabrera DeBuc, Philippe M. Burlina
Deep Learning based Retinal OCT Segmentation. CoRR (2018)
Philippe Burlina, Katia D. Pacheco, Neil Joshi, David E. Freund, Neil M. Bressler
Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis. Comput. Biol. Medicine 82 (2017)
Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina
A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. ICMLA (2017)
Philippe Burlina, David E. Freund, Neil Joshi, Y. Wolfson, Neil M. Bressler
Detection of age-related macular degeneration via deep learning. ISBI (2016)
Albert K. Feeny, Mongkol Tadarati, David E. Freund, Neil M. Bressler, Philippe Burlina
Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images. Comput. Biol. Medicine 65 (2015)
Philippe Burlina, David E. Freund, B. Dupas, Neil M. Bressler
Automatic screening of age-related macular degeneration and retinal abnormalities. EMBC (2011)
David E. Freund, Neil M. Bressler, Philippe Burlina
Automated Detection of Drusen in the Macula. ISBI (2009)
David E. Freund, Philippe Burlina, Amit Banerjee
Characterization of spatial ordering of corneal stroma fibrils. ISBI (2008)