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Bhimireddy Ananth Reddy
Bhimireddy Ananth Reddy
Emory University
Bestätigte E-Mail-Adresse bei iu.edu
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Zitiert von
Zitiert von
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AI recognition of patient race in medical imaging: a modelling study
JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ...
The Lancet Digital Health 4 (6), e406-e414, 2022
4242022
Reading race: AI recognises patient's racial identity in medical images
I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ...
arXiv preprint arXiv:2107.10356, 2021
822021
The EMory BrEast imaging Dataset (EMBED): A racially diverse, granular dataset of 3.4 million screening and diagnostic mammographic images
JJ Jeong, BL Vey, A Bhimireddy, T Kim, T Santos, R Correa, R Dutt, ...
Radiology: Artificial Intelligence 5 (1), e220047, 2023
522023
Blood glucose level prediction as time-series modeling using sequence-to-sequence neural networks
A Bhimireddy, P Sinha, B Oluwalade, JW Gichoya, S Purkayastha
CEUR Workshop Proceedings, 2020
402020
Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes
AK Singh, M Guntu, AR Bhimireddy, JW Gichoya, S Purkayastha
arXiv preprint arXiv:2003.07507, 2020
132020
AI recognition of patient race in medical imaging: a modelling study. Lancet Digit Health 4, e406–e414
JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ...
122022
The EMory BrEast imaging Dataset (EMBED): a racially diverse, granular dataset of 3.5 M screening and diagnostic mammograms
JJ Jeong, BL Vey, A Reddy, T Kim, T Santos, R Correa, R Dutt, ...
arXiv preprint arXiv:2202.04073, 2022
82022
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part IV
Y Dong, N Kourtellis, B Hammer, JA Lozano
Springer Nature, 2021
62021
AI recognition of patient race in medical imaging: a modelling study. Lancet Digit Health. 2022; 4: e406–14
JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ...
This study illustrates an important downside of AI in diagnostics. This …, 0
5
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets
AR Bhimireddy, JL Burns, S Purkayastha, JW Gichoya
arXiv preprint arXiv:2204.07824, 2022
22022
Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes
AK Bhavani Singh, M Guntu, AR Bhimireddy, JW Gichoya, S Purkayastha
arXiv, 2020
22020
Network Measurements and Optimizations for Telehealth in Internet's Remote Regions
P Kathiravelu, AR Bhimireddy, JW Gichoya
2023 Tenth International Conference on Software Defined Systems (SDS), 39-46, 2023
12023
Visualizing Scanner Utilization From MRI Metadata and Clinical Data
P Kathiravelu, N Li, N Singi, AR Bhimireddy, R Birmingham, JW Gichoya, ...
Computer 56 (8), 68-76, 2023
12023
Note: Using Causality to Mine Sjögren’s Syndrome related Factors from Medical Literature
PD Gujarathi, SKRG Reddy, VMB Karri, AR Bhimireddy, AS Rajapuri, ...
Proceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and …, 2022
12022
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets
A Reddy Bhimireddy, JL Burns, S Purkayastha, J Wawira Gichoya
arXiv e-prints, arXiv: 2204.07824, 2022
12022
PLHI-MC10: A dataset of exercise activities captured through a triple synchronous medically-approved sensor
Y Mahajan, A Bhimireddy, A Abid, JW Gichoya, S Purkayastha
Data in Brief 38, 107287, 2021
12021
Using ImageBERT to improve performance of multi-class Chest Xray classification
S Purkayastha, A Bhimireddy, P Sinha, JW Gichoya
2020
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