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Philippe Burlina

Showing results (11-20 of 23) with videos related to

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Ultrasound in Medicine & Biology|March 19, 2013
Patient-specific mitral valve closure prediction using 3D echocardiographyPhilippe Burlina, Chad Sprouse, Ryan Mukherjee, et al.
Computers in Biology and Medicine|December 25, 2018
Deep embeddings for novelty detection in myopathyPhilippe Burlina, Neil Joshi, Seth Billings, et al.
JAMA Ophthalmology|December 30, 2021
Detecting Anomalies in Retinal Diseases Using Generative, Discriminative, and Self-supervised Deep LearningPhilippe Burlina, William Paul, T Y Alvin Liu, et al.
Translational Vision Science & Technology|May 18, 2021
Addressing Artificial Intelligence Bias in Retinal DiagnosticsPhilippe Burlina, Neil Joshi, William Paul, et al.
Computers in Biology and Medicine|February 8, 2017
Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysisPhilippe Burlina, Katia D Pacheco, Neil Joshi, et al.
Computers in Biology and Medicine|August 31, 2015
Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus imagesAlbert K Feeny, Mongkol Tadarati, David E Freund, et al.
JAMA Ophthalmology|September 4, 2020
Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic DiseasesPhilippe Burlina, William Paul, Philip Mathew, et al.
Nature Medicine|May 9, 2018
AI for medical imaging goes deepDaniel S W Ting, Yong Liu, Philippe Burlina, et al.
Clinical and Experimental Rheumatology|May 11, 2018
Pattern of muscle involvement in inclusion body myositis: a sonographic studyJemima Albayda, Lisa Christopher-Stine, Clifton O Bingham Iii, et al.
Clinical and Experimental Rheumatology|May 22, 2019
Pattern of muscle involvement in inclusion body myositis: a sonographic studyJemima Albayda, Lisa Christopher-Stine, Clifton O Bingham Iii, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Ultrasound in Medicine & Biology|March 19, 2013
Patient-specific mitral valve closure prediction using 3D echocardiographyPhilippe Burlina, Chad Sprouse, Ryan Mukherjee, et al.
Computers in Biology and Medicine|December 25, 2018
Deep embeddings for novelty detection in myopathyPhilippe Burlina, Neil Joshi, Seth Billings, et al.
JAMA Ophthalmology|December 30, 2021
Detecting Anomalies in Retinal Diseases Using Generative, Discriminative, and Self-supervised Deep LearningPhilippe Burlina, William Paul, T Y Alvin Liu, et al.
Translational Vision Science & Technology|May 18, 2021
Addressing Artificial Intelligence Bias in Retinal DiagnosticsPhilippe Burlina, Neil Joshi, William Paul, et al.
Computers in Biology and Medicine|February 8, 2017
Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysisPhilippe Burlina, Katia D Pacheco, Neil Joshi, et al.
Computers in Biology and Medicine|August 31, 2015
Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus imagesAlbert K Feeny, Mongkol Tadarati, David E Freund, et al.
JAMA Ophthalmology|September 4, 2020
Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic DiseasesPhilippe Burlina, William Paul, Philip Mathew, et al.
Nature Medicine|May 9, 2018
AI for medical imaging goes deepDaniel S W Ting, Yong Liu, Philippe Burlina, et al.
Clinical and Experimental Rheumatology|May 11, 2018
Pattern of muscle involvement in inclusion body myositis: a sonographic studyJemima Albayda, Lisa Christopher-Stine, Clifton O Bingham Iii, et al.
Clinical and Experimental Rheumatology|May 22, 2019
Pattern of muscle involvement in inclusion body myositis: a sonographic studyJemima Albayda, Lisa Christopher-Stine, Clifton O Bingham Iii, et al.
Pageof 3