← Leaderboards
Cooper James Mellema
Ut Southwestern Medical Center
$104,328
Attributed
$104,328
Total exposure
1
Grants
1
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants. They are the sole PI on all grants (the two match).
Funding over time
peak $35.5K · FY2019–21$50K$37.5K$25K$12.5K$0
'19
'20
'21
Funding mix
By agency
NIH$104,328 · 1
By mechanism
F31$104,328 · 1
Top collaborators
No co-investigators on record.
Most similar at Ut Southwestern Medical Center
Same institution · by research overlap
- Nader Pouratian$21,067,477
- Hanzhang Lu$32,875,389
- David C Zhu$6,236,143
- Ivan Pedrosa$7,238,451
- Guanghua Xiao$9,069,817
Others in their field
Other Emerging Leaders on “Adoption”
- Sonia M Thomas · Research Triangle Institute$701,865,642
- Tracy L Nolen · Research Triangle Institute$474,487,152
- April Brinkoetter · Hungry Heart Media, Inc.$57,302,265
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$28,235,661
- Kathleen Maletic Neuzil · Emory University$26,258,144
- Abraham Aizer Brody · New York University School Of Medicine$24,513,574
Research focus
AdoptionAlzheimer&AposBaseBiological MarkersBlood Oxygen Level DependentBrainCharacteristicsClinical TrialsCognitive TestingCommunitiesComputer SoftwareData SetDeep LearningDiffusion Magnetic Resonance ImagingDisease ProgressionEtiologyFiberFloridaFunctional Magnetic Resonance ImagingImageInterestLearningLearning CommunityAdopted
Grant awards (3)
Predicting Parkinson's Disease Progression Rate Using Causal Measures of Functional MRI with Deep Learning Predictive Models$35,546
F31 · FY2021 · NS · contact PI
Predicting Parkinson's Disease Progression Rate Using Causal Measures of Functional MRI with Deep Learning Predictive Models$34,768
F31 · FY2020 · NS · contact PI
Predicting Parkinson's Disease Progression Rate Using Causal Measures of Functional MRI with Deep Learning Predictive Models$34,014
F31 · FY2019 · NS · contact PI