← Leaderboards
Bruno C Odisio
University Of Tx Md Anderson Can Ctr
$851,031
Attributed
$1,702,061
Total exposure
1
Grants
0
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 $362.4K · FY2019–23$500K$375K$250K$125K$0
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$1,702,061 · 1
By mechanism
R01$1,702,061 · 1
Top collaborators
- Kristy Brock5 shared
Most similar at University Of Tx Md Anderson Can Ctr
Same institution · by research overlap
- John Paul Christodouleas$1,684,168
- Christopher Chad Quarles$12,985,497
- Thomas M Guerrero$3,726,710
- Mo Kadbi$949,991
- Kathleen Schmeler$5,727,235
Others in their field
Other Emerging Leaders on “Liver Neoplasms”
- Amit Singal · Ut Southwestern Medical Center$10,531,964
- Jennifer Cohen Price · University Of California, San Francisco$9,760,604
- Aggrey Semwendero Semeere · University Of California, San Francisco$5,619,408
- Ke Zhang · Northeastern University$5,432,578
- Amaia Lujambio · Icahn School Of Medicine At Mount Sinai$5,368,450
- Kamila Naxerova · Massachusetts General Hospital$5,002,681
Research focus
Liver NeoplasmsLiverInnovationAblationAnatomic ModelsLaboratoriesAnatomyComputer SoftwareCurative TreatmentsAlgorithmsDiagnosisBiomechanical ModelBiomechanicsElementsCessation Of LifeEnsureExcisionImageImage GuidedImage RegistrationImaging ProbeIncidenceInflammationLocal Therapy
Grant awards (5)
Anatomical Modeling to Improve the Precision of Image Guided Liver Ablation$330,870
R01 · FY2023 · CA
Anatomical Modeling to Improve the Precision of Image Guided Liver Ablation$330,871
R01 · FY2022 · CA
Anatomical Modeling to Improve the Precision of Image Guided Liver Ablation$337,623
R01 · FY2021 · CA
Anatomical Modeling to Improve the Precision of Image Guided Liver Ablation$340,262
R01 · FY2020 · CA
Anatomical Modeling to Improve the Precision of Image Guided Liver Ablation$362,435
R01 · FY2019 · CA