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Terry Spitz
Terry Spitz
Google Health
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Title
Cited by
Cited by
Year
Predicting conversion to wet age-related macular degeneration using deep learning
J Yim, R Chopra, T Spitz, J Winkens, A Obika, C Kelly, H Askham, M Lukic, ...
Nature Medicine 26 (6), 892-899, 2020
2232020
Quantitative analysis of OCT for neovascular age-related macular degeneration using deep learning
G Moraes, DJ Fu, M Wilson, H Khalid, SK Wagner, E Korot, D Ferraz, ...
Ophthalmology 128 (5), 693-705, 2021
792021
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
K Dvijotham, J Winkens, M Barsbey, S Ghaisas, R Stanforth, N Pawlowski, ...
Nature Medicine 29 (7), 1814-1820, 2023
192023
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment
RG Gomes, B Vwalika, C Lee, A Willis, M Sieniek, JT Price, C Chen, ...
Communications Medicine 2 (1), 128, 2022
132022
AI system for fetal ultrasound in low-resource settings
RG Gomes, B Vwalika, C Lee, A Willis, M Sieniek, JT Price, C Chen, ...
arXiv preprint arXiv:2203.10139, 2022
22022
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians (CoDoC)
K Dvijotham, J Winkens, M Barsbey, S Ghaisas, N Pawlowski, R Stanforth, ...
12022
Quantitative analysis of change in retinal tissues in neovascular age-related macular degeneration using artificial intelligence
R Chopra, G Moraes, DJ Fu, S Wagner, T Spitz, M Wilson, J Yim, ...
Investigative Ophthalmology & Visual Science 61 (7), 1152-1152, 2020
12020
Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study
M Schaekermann, T Spitz, M Pyles, H Cole-Lewis, E Wulczyn, SR Pfohl, ...
eClinicalMedicine, 2024
2024
Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
RV Rikhye, A Loh, GE Hong, P Singh, MA Smith, V Muralidharan, D Wong, ...
arXiv preprint arXiv:2402.15566, 2024
2024
MINT: A wrapper to make multi-modal and multi-image AI models interactive
J Freyberg, AG Roy, T Spitz, B Freeman, M Schaekermann, P Strachan, ...
arXiv preprint arXiv:2401.12032, 2024
2024
Predicting disease progression from tissue images and tissue segmentation maps
J Yim, RK Chopra, T Spitz, JH Winkens, AAN Obika, T Back, JR Ledsam, ...
US Patent App. 17/257,999, 2022
2022
Google and DeepMind: Deep Learning Systems in Ophthalmology
X Liu, A Mitani, T Spitz, DJ Wu, JR Ledsam
Artificial Intelligence in Ophthalmology, 161-176, 2021
2021
Automatic segmentation using artificial intelligence of baseline anatomical parameters of patients starting anti-VEGF injections for neovascular age-related macular degeneration
G Moraes, R Chopra, DJ Fu, S Wagner, T Spitz, M Wilson, J Yim, ...
Investigative Ophthalmology & Visual Science 61 (7), 1633-1633, 2020
2020
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