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Robert E. Leet and Clara Guthrie Patterson Trust Mentored Research Award

Awardee: Dr. Jiao (PI)

Duration: Feb 2024 to Feb 2026.

 

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NSF Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) with Auburn University and Florida International University

Awardee: Dr. Jiao (PI) and Dr. Bai (PI)

Duration: Oct 2023 to Sep 2027.

 

NIH SBIR Phase II with Carina Medical

Awardee: Dr. Jiao (co-I) and Dr. Bai (co-I)

Duration: Oct 2023 to Oct 2025.

 

Biomedical research hub makes first pilot awards | Brown University

Brown University Advance CTR Pilot Grant

Awardee: Dr. Jiao (PI)

Duration: Jan 2023 to Dec 2023.

 

SIR Foundation Summer Research Grant

Awardee: Helen Zhang

 

SIR Foundation Summer Research Grant

Awardee: Hossam Zaki

RSNA Research & Education Foundation’s Research Medical Student Grant

Awardee: Soryan Kumar

RSNA Research & Education Foundation’s Research Medical Student Grant

Awardee: Ashwin Reddy

RSNA Research & Education Foundation’s Research Medical Student Grant

Awardee: Mihir Khunte

Assistantship Award Scholarly for concentration in Biomedical Informatics

Awardee: Ashwin Reddy

Our medical student — Ashwin has been selected to receive this award to complete his project on multi-omics pancreas diseases analysis.

Petersen Educational Enhancement Fund

Awardee: Mihir Khunte

Our medical student — Mihir has been selected to receive this fund to complete his project based on the National Inpatient Sample dataset (2016-2019).

BrownConnect SPRINT|UTRA in Summer 2022

Awardee: Lulu Bi

Our Program in Liberal Medical Education (PLME) student — Lulu Bi has been selected to receive this grant to work for our multi-omics brain tumor project.

Clinical Research Award of the  14th Annual Warren Alpert Medical School Academic Symposium

Awardee: John Sollee

For the project: COVID-19 Mortality prediction in the intensive care unit with deep learning based on longitudinal chest x-rays and clinical data

AWS Diagnostic Development Initiative

AWS Diagnostic Development Initiative (DDI) has granted $100,000 free credit for our talented researchers and technologists in the areas of pre-diagnosis, diagnostics, prognosis, and public health genomics.

 

SIR Foundation Grant Program

Awardee: Dr. Harrison Bai

For the project: Employing quantitative image analysis based on deep learning to improve treatment efficacy in image-guided liver tumor ablation.

 

RSNA Research & Education Foundation’s Research Medical Student Grant

Awardee: John Rainer Sollee

For the project: Fully automated artificial intelligence pipeline based on deep learning for longitudinal assessment of renal tumor on magnetic resonance imaging

 

RSNA Research & Education Foundation’s Research Medical Student Grant

Awardee: Thomas Yi

For the project: Employing Quantitative Image Analysis Based on Deep Learning to Improve Treatment Efficacy in  Image-Guided Liver Tumor Ablation

 

Scholarly Concentration in Translational Research in Medicine

Awardee: John Sollee

For the project: Continuous learning artificial intelligence pipeline for quantitative characterization of lung abnormalities

 

Scholarly Concentration in Medical Technology, Innovation & Entrepreneurship

Awardee: Daniel Kim

For the proposal about creating a deep learning-based tumor segmentation tool and a machine learning-based quality assurance model using AI.

 

2021 Summer Assistantship for Alpert Medical School

Awardee: Daniel Kim
Funds: $3,750

 

John Sollee selected for 2021 Basic & Translational Research Program (BTR)
Funds: $4,471
Duration: May 30 – July 31 2021A 9-week program of training funded by the NIH for medical students.

 

Seed Award
Funds: $44,000
Awardee: Professor Cetintemel & Dr Harrison BaiFor the research project: “Deep learning based on CT angiography in patient selection for endovascular treatment of large vessel ischemic stroke.”

 

RSNA Trainee Research Prize
Funds: $1,000
Awardee: Thi My Linh TranFor the research project: “AI Augmentation of Renal Tumor Diagnosis on Routine MR Imaging” as three top-rated abstracts in in the Genitourinary category for 2020

 

Dr Harrison Bai joining the leadership team of Radiology: Artificial Intelligence as an Associate Editor of RSNAGoal: to guide Radiology: Artificial Intelligence to play a leadership role in promoting innovative advances in the expanding applications of artificial intelligence and machine learning to radiology.

 

 RSNA R&E Foundation Grant Awarded

Project Title: Deep Learning-based Response Assessment and Outcome Prediction for Transarterial Chemoembolization Treatment of Hepatocellular Carcinoma

Grant Program: Research Scholar Grant

Grant ID: RSCH2004

Funds: $150,000

Principal Investigator: Harrison Bai

 

NIH R03 Grants: The National Institutes of Health awards a grant to us

Project Title: Deep learning for renal tumor characterization

Grant Number: 1R03CA249554-01

Date: 03/01/2020 – 02/28/2022

Funds: $161,000

Awardee: Harrison Bai

 

Brown COVID-19 Research Seed Fund

Funds: $12,500

Awardee: Harrison Bai

 

the Karen T. Romer Undergraduate Teaching and Research AwardsOur I-Team collaborative project has been selected for funding.

TERM OF AWARD: Summer 2020
TYPE OF AWARD: Summer I-Team Collaboration

STUDENT’S STIPEND:  $3570 per person for six people(based on 35 hr/wk for 10 weeks)

Leader: Harrison Bai and Ugur Centintemel

 

DSI grant: the Data Science Initiative will fund our proposal

Project Title: Deep Learning Segmentation of Liver Structures, Tumors, and Effects of Treatment from Medical Images

Funds: $15,000

Principal Investigator: Ben Hsieh

Guidance:Harrison Bai and Benjamin Kimia

 

RSNA research grant: Our applications were among the top-ranked and approved for funding from the RSNA Research & Education Foundation’s Research Medical Student Grant

No.1

Project Title: Prediction of Outcomes of Acute Ischemic Stroke based on CT Angiography (CTA) and Digital Subtraction Angiography (DSA) before Mechanical Thrombectomy Using Machine Learning

Grant ID: Medical Student 35 (RMS2035)

Funds: $3,000

Principal Investigator: Thi My Linh Tran

Guidance:Harrison Bai

No.2

Project Title: Deep learning for fully-automated assessment of treatment response following trans-arterial chemoembolization for hepatocellular carcinoma

Grant ID: Medical Student 17 (RMS2017)

Funds: $3,000

Principal Investigator: Celina Hsieh

No.3

Project Title: Deep Learning Model for MR-based Classification of Bone Lesions: Extensions to Clinical AI Applications

Grant ID: Medical Student 13 (RMS2013)

Funds: $3,000

Principal Investigator: Feyisope Reginald Eweje

 

Summer Assistantship

Principal Investigator: Ji Whae Choi

Funds: $3,750

 

Scholarly Concentration (SC) Program

1. Ji Whae Choi has been accepted to the Scholarly Concentration in Medical Technology, Innovation & Entrepreneurship.

 

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