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Tanno, Ryutaro
110  results:
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1

Relation between a history of glaucoma and subjective happi..:

Yamanishi, Ryutaro ; Yotsukura, Erisa ; Hanyuda, Akiko...
BMJ Open Ophthalmology.  9 (2024)  1 - p. e001553 , 2024
Link: https://doi.org/10.1136/..
 
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2

Generative models improve fairness of medical classifiers u..:

Ktena, Ira ; Wiles, Olivia ; Albuquerque, Isabela...
Nature Medicine.  30 (2024)  4 - p. 1166-1173 , 2024
Link: https://doi.org/10.1038/..
 
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3

Towards Conversational Diagnostic AI:

Tu, Tao ; Palepu, Anil ; Schaekermann, Mike...
http://arxiv.org/abs/2401.05654.  , 2024
Link: http://arxiv.org/abs/240..
 
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4

Low-field magnetic resonance image enhancement via stochast..:

Lin, Hongxiang ; Figini, Matteo ; D'Arco, Felice...
Medical Image Analysis.  87 (2023)  - p. 102807 , 2023
Link: https://doi.org/10.1016/..
 
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5

Deep learning for the prediction of clinical outcomes in in..:

Prasad, Niranjani ; Chien, Isabel ; Regan, Tim...
PLOS ONE.  18 (2023)  11 - p. e0272685 , 2023
Link: https://doi.org/10.1371/..
 
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6

Learning from multiple annotators for medical image segment..:

Zhang, Le ; Tanno, Ryutaro ; Xu, Moucheng...
Pattern Recognition.  138 (2023)  - p. 109400 , 2023
Link: https://doi.org/10.1016/..
 
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7

External validation results:

Niranjani Prasad ; Isabel Chien ; Tim Regan...
doi:10.1371/journal.pone.0272685.s004.  , 2023
Link: https://doi.org/10.1371/..
 
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8

Learning from multiple annotators for medical image segment..:

Zhang, Le ; Tanno, Ryutaro ; Xu, Moucheng...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533416/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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9

An Image is Worth Multiple Words: Learning Object Level Con..:

Jin, Chen ; Tanno, Ryutaro ; Saseendran, Amrutha..
http://arxiv.org/abs/2310.12274.  , 2023
Link: http://arxiv.org/abs/231..
 
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10

Generative models improve fairness of medical classifiers u..:

Ktena, Ira ; Wiles, Olivia ; Albuquerque, Isabela...
http://arxiv.org/abs/2304.09218.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

RNN-Q test performances for PHQ-9 and GAD-7 at different ti..:

Niranjani Prasad ; Isabel Chien ; Tim Regan...
doi:10.1371/journal.pone.0272685.t005.  , 2023
Link: https://doi.org/10.1371/..
 
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12

Model featurization in benchmarks vs RNN:

Niranjani Prasad ; Isabel Chien ; Tim Regan...
doi:10.1371/journal.pone.0272685.s002.  , 2023
Link: https://doi.org/10.1371/..
 
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13

GAD-7 error analysis:

Niranjani Prasad ; Isabel Chien ; Tim Regan...
doi:10.1371/journal.pone.0272685.g005.  , 2023
Link: https://doi.org/10.1371/..
 
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14

RNN-Q model performance on test dataset by review period pl..:

Niranjani Prasad ; Isabel Chien ; Tim Regan...
doi:10.1371/journal.pone.0272685.g003.  , 2023
Link: https://doi.org/10.1371/..
 
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15

Outcomes of interest definitions:

Niranjani Prasad ; Isabel Chien ; Tim Regan...
doi:10.1371/journal.pone.0272685.t003.  , 2023
Link: https://doi.org/10.1371/..
 
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