← Leaderboards
Pallavi Tiwari
Case Western Reserve University
$2,599,022
Attributed
$5,198,044
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 $1.7M · FY2020–25$2M$1.5M$1M$500K$0
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$5,198,044 · 4
VA$0 · 1
By mechanism
R01$3,433,857 · 2
U01$1,764,187 · 2
I01$0 · 1
Top collaborators
- Manmeet Ahluwalia6 shared
- Satish Easwar Viswanath5 shared
Most similar at Case Western Reserve University
Same institution · by research overlap
- Andrew Robert Janowczyk$1,894,800
- Satish Easwar Viswanath$1,285,677
- Chaitra Badve$568,758
- J Sunil Rao$4,814,871
- Ravi V Bellamkonda$14,562,299
Others in their field
Other Emerging Leaders on “Radiomics”
- John Freymann · Leidos Biomedical Research, Inc.$5,261,900
- Matthew Desantis · Leidos Biomedical Research, Inc.$3,673,614
- Jianan Grace Gang · University Of Pennsylvania$3,273,817
- Rayjean J. Hung · Dartmouth College$3,136,834
- William Hsu · University Of California Los Angeles$3,059,071
- Shanshan Jiang · Johns Hopkins University$2,824,745
Research focus
RadiomicsImageMagnetic Resonance ImagingTumorCohortValidationChemoradiationSuccessTissuesLesionOperative Surgical ProceduresRecurrent TumorBiopsyMorphologyTreatment EffectAftercareSiteMri ScansRadiationBrain NeoplasmsBiophysicsPhenotypeInnovationScanning
Grant awards (14)
Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma$724,184
R01 · FY2025 · CA · contact PI
Radiomic spatial maps for identifying viable tumor extent on multi-parametric MRI for Glioblastoma$586,765
R01 · FY2025 · CA · contact PI
Image informatics tools for curation and prognostic modeling in pediatric brain tumors$398,532
U01 · FY2025 · CA · contact PI
Artificial Intelligence-based decision support for chemotherapy-response assessment in Brain Tumors$0
I01 · FY2025 · VA · contact PI
Radiomic spatial maps for identifying viable tumor extent on multi-parametric MRI for Glioblastoma$639,642
R01 · FY2024 · CA · contact PI
Artificial Intelligence-based decision support for chemotherapy-response assessment in Brain Tumors$0
I01 · FY2024 · VA · contact PI
Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma$761,344
R01 · FY2023 · CA · contact PI
Artificial Intelligence-based decision support for chemotherapy-response assessment in Brain Tumors$0
I01 · FY2023 · VA · contact PI
Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma$649,730
R01 · FY2022 · CA · contact PI
RadxTools for assessing tumor treatment response on imaging$365,668
U01 · FY2022 · CA
RadxTools for assessing tumor treatment response on imaging$233,950
U01 · FY2022 · CA
Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma .$72,192
R01 · FY2022 · CA · contact PI
RadxTools for assessing tumor treatment response on imaging$383,020
U01 · FY2021 · CA
RadxTools for assessing tumor treatment response on imaging$383,017
U01 · FY2020 · CA