← Leaderboards
Daniel L Rubin
Stanford University
$10,989,812
Attributed
$17,306,882
Total exposure
10
Grants
5
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 $2.2M · FY2010–25$2.5M$1.9M$1.3M$625K$0
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$17,084,217 · 9
FDA$222,665 · 1
By mechanism
U01$12,019,613 · 5
U24$4,447,939 · 2
R21$471,804 · 1
R24$222,665 · 1
P30$144,861 · 1
Top collaborators
- Jayashree Kalpathy-Cramer5 shared
- Michael T Lewis5 shared
- Sandy A Napel5 shared
- Thomas E Yankeelov5 shared
- Imon Banerjee4 shared
- Theresa H M Keegan4 shared
- Heike Elizabeth Daldrup-Link2 shared
Most similar at Stanford University
Same institution · by research overlap
- Heike Elizabeth Daldrup-Link$23,256,656
- Olivier Gevaert$8,099,347
- Ruijiang Li$10,760,802
- Ronald M Lazar$7,910,610
- Jia Wu$3,637,726
Others in their field
Top investigators on “Research Personnel”
- David Heimbrook · Leidos Biomedical Research, Inc.$701,463,488
- Sonia M Thomas · Research Triangle Institute$700,865,642
- Leonard Freedman · Leidos Biomedical Research, Inc.$557,978,666
- Tracy L Nolen · Research Triangle Institute$474,487,152
- David R. Weir · University Of Michigan At Ann Arbor$364,053,504
- Judith S. Currier · University Of California Los Angeles$284,675,012
Research focus
Research PersonnelMalignant NeoplasmsImageBaseCommunitiesClinical TrialsResourcesResponseTreatment ResponseCohortComputer SoftwareEvaluationBiological MarkersFundingAnticancer ResearchImaging BiomarkerRadiologistTumorQuantitative ImagingImaging ModalityCancer TherapyTechnologyMagnetic Resonance ImagingPatient-Focused Outcomes
Grant awards (35)
Flexible NLP toolkit for automatic curation of outcomes for breast cancer patients$332,408
U01 · FY2025 · CA
Flexible NLP toolkit for automatic curation of outcomes for breast cancer patients$507,016
U01 · FY2024 · CA
Biomedical Informatics$48,287
P30 · FY2024 · CA · contact PI
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER$620,231
U24 · FY2023 · CA
Flexible NLP toolkit for automatic curation of outcomes for breast cancer patients$540,872
U01 · FY2023 · CA
Biomedical Informatics$48,287
P30 · FY2023 · CA · contact PI
Co-Clinical Research Resource for Imaging Tumor Associated Macrophages$630,142
U24 · FY2022 · CA
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER$620,234
U24 · FY2022 · CA
Flexible NLP toolkit for automatic curation of outcomes for breast cancer patients$525,159
U01 · FY2022 · CA
Biomedical Informatics$48,287
P30 · FY2022 · CA · contact PI
Co-Clinical Research Resource for Imaging Tumor Associated Macrophages$652,560
U24 · FY2021 · CA
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER$632,898
U24 · FY2021 · CA
Distributed Learning of Deep Learning Models for Cancer Research$394,824
U01 · FY2021 · CA · contact PI
Robust AI to develop risk models in retinopathy of prematurity using deep learning$196,921
R21 · FY2021 · EY
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER$632,900
U24 · FY2020 · CA
Qualification and Deployment of Imaging Biomarkers of Cancer Treatment Response$598,130
U01 · FY2020 · CA · contact PI
Distributed Learning of Deep Learning Models for Cancer Research$394,824
U01 · FY2020 · CA · contact PI
Robust AI to develop risk models in retinopathy of prematurity using deep learning$274,883
R21 · FY2020 · EY
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER$658,974
U24 · FY2019 · CA
Qualification and Deployment of Imaging Biomarkers of Cancer Treatment Response$585,998
U01 · FY2019 · CA · contact PI
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers$567,509
U01 · FY2019 · CA
Distributed Learning of Deep Learning Models for Cancer Research$401,628
U01 · FY2019 · CA · contact PI
Qualification and Deployment of Imaging Biomarkers of Cancer Treatment Response$620,466
U01 · FY2018 · CA · contact PI
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers$593,292
U01 · FY2018 · CA
Qualification and Deployment of Imaging Biomarkers of Cancer Treatment Response$628,609
U01 · FY2017 · CA · contact PI
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers$487,132
U01 · FY2017 · CA
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers$626,891
U01 · FY2016 · CA
Qualification and Deployment of Imaging Biomarkers of Cancer Treatment Response$675,132
U01 · FY2015 · CA · contact PI
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers$652,612
U01 · FY2015 · CA
Computerized Quantitative Imaging Assessment of Tumor Burden$544,314
U01 · FY2014 · CA · contact PI
Computerized Quantitative Imaging Assessment of Tumor Burden$532,115
U01 · FY2013 · CA · contact PI
Data Concepts and Terminology Standards in Imaging to Support Human Drug Developm$222,665
R24 · FY2013 · FD · contact PI
Computerized Quantitative Imaging Assessment of Tumor Burden$590,477
U01 · FY2012 · CA · contact PI
Computerized Quantitative Imaging Assessment of Tumor Burden$610,570
U01 · FY2011 · CA · contact PI
Computerized Quantitative Imaging Assessment of Tumor Burden$609,635
U01 · FY2010 · CA · contact PI