← Leaderboards
Holden H Wu
University Of California Los Angeles
$4,936,760
Attributed
$10,866,480
Total exposure
5
Grants
4
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.
Funding over time
peak $2.7M · FY2018–25$5M$3.8M$2.5M$1.3M$0
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$10,866,480 · 5
By mechanism
R01$8,502,480 · 4
U01$2,364,000 · 1
Top collaborators
- Kyung Hyun Sung6 shared
- Maria I Altbach4 shared
- Kara Lynne Calkins4 shared
- Vibhas Deshpande4 shared
- David S.K. Lu4 shared
- Tsu-Chin Tc Tsao4 shared
Most similar at University Of California Los Angeles
Same institution · by research overlap
- Kyung Hyun Sung$3,857,110
- Aldons Jake Lusis$39,552,334
- Paul M Thompson$55,589,208
- Xia Yang$6,466,377
- Kara Lynne Calkins$1,160,454
Others in their field
Other Emerging Leaders on “Magnetic Resonance Imaging”
- Susan Abushakra · Alzheon, Inc.$50,765,244
- Susan M Landau · University Of California Berkeley$47,252,026
- Eric C Palm · Florida State University$31,951,397
- Michael W Rabin · Florida State University$26,502,247
- Ross D McDonald · Florida State University$26,502,247
- Bryan Roth · Univ Of North Carolina Chapel Hill$21,325,531
Research focus
Magnetic Resonance ImagingTechnologyBiopsyScanningImageAreaDetectionDiagnosisMorphologic ArtifactsInnovationCessation Of LifeTissuesLiverBreathingMotionRadialAbdomenEarly DiagnosisDeep LearningLesionUncertaintyLabelImaging TechniquesValidation
Grant awards (19)
New Technologies for Real-Time MRI-Guided Robotic-Assisted Abdominal Interventions$638,280
R01 · FY2025 · EB · contact PI
Quantitative MRI and Deep Learning Technologies for Classification of NAFLD$610,185
U01 · FY2025 · EB · contact PI
New Technologies for Real-Time MRI-Guided Robotic-Assisted Abdominal Interventions$632,038
R01 · FY2024 · EB · contact PI
Quantitative MRI and Deep Learning Technologies for Classification of NAFLD$570,640
U01 · FY2024 · EB · contact PI
Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification$502,391
R01 · FY2024 · CA
New Technologies for Real-Time MRI-Guided Robotic-Assisted Abdominal Interventions$634,953
R01 · FY2023 · EB · contact PI
Quantitative MRI and Deep Learning Technologies for Classification of NAFLD$574,875
U01 · FY2023 · EB · contact PI
Quantifying Body Composition and Liver Disease in Children using Free-Breathing MRI and MRE$542,722
R01 · FY2023 · DK · contact PI
Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification$534,093
R01 · FY2023 · CA
New Technologies for Real-Time MRI-Guided Robotic-Assisted Abdominal Interventions$639,203
R01 · FY2022 · EB · contact PI
Quantitative MRI and Deep Learning Technologies for Classification of NAFLD$608,300
U01 · FY2022 · EB · contact PI
Quantifying Body Composition and Liver Disease in Children using Free-Breathing MRI and MRE$565,869
R01 · FY2022 · DK · contact PI
Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification$534,093
R01 · FY2022 · CA
A structured multi-scale dataset with prostate MRI for AI/ML research$312,000
R01 · FY2022 · CA
Quantifying Body Composition and Liver Disease in Children using Free-Breathing MRI and MRE$584,175
R01 · FY2021 · DK · contact PI
Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification$544,992
R01 · FY2021 · CA
Quantifying Body Composition and Liver Disease in Children using Free-Breathing MRI and MRE$626,823
R01 · FY2020 · DK · contact PI
Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification$567,651
R01 · FY2020 · CA
Validating Cardiac MRI Biomarkers and Genotype-Phenotype Correlations for DMD$643,197
R01 · FY2018 · HL · contact PI