|
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Machine learning algorithms to analyze large medical image datasets |
| 5R01LM013608-02 |
|
NLM |
2022 |
|
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SCH: Enabling Data Outsourcing and Sharing for AI-powered Parkinsons Research |
| 5R01LM014027-02 |
|
NLM |
2022 |
|
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A Mobile Game for Domain Adaptation and Deep Learning in Autism Healthcare |
| 1 R01 LM013364-01A1 |
WALL, DENNIS PAUL |
NLM |
2021 |
|
|
MS Falls InsightTrack (MS FIT): A personal health library to reduce falls in patients with MS |
| 1 R01 LM013396-01A1 |
BOVE, RILEY MARIE BROWNE |
NLM |
2021 |
|
|
SCH: Enabling Data Outsourcing and Sharing for AI-powered Parkinson's Research |
| 1 R01 LM014027-01 |
CHEN, SHIGANG |
NLM |
2021 |
|
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Learning Universal Patient Representations from Clinical Text with Hierarchical Recurrent Neural Networks |
| 5 R01 LM012973-03 |
MILLER, TIMOTHY A |
NLM |
2021 |
|
|
Creating an artificial intelligence therapy-to-data feedback loop for child developmental healthcare |
| 5 R01 LM013083-03 |
WALL, DENNIS PAUL |
NLM |
2021 |
|
|
Learning invariant representation from high- dimensional data for quantitative stroke reha |
| 5 R01 LM013316-03 |
FERNANDEZ-GRANDA, CARLOS |
NLM |
2021 |
|
|
SCH: INT: Conversations for Vision: Human-Computer Synergies in Prosthetic Interactions |
| 5 R01 LM013330-03 |
CARROLL, JOHN MILLAR |
NLM |
2021 |
|
|
Learning Universal Patient Representations from Clinical Text with Hierarchical Recurrent Neural Networks |
| 5R01LM012973-02 |
MILLER, TIMOTHY A |
NLM |
2020 |
