フォロー
Hari Trivedi
Hari Trivedi
確認したメール アドレス: emory.edu
タイトル
引用先
引用先
A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain
Y Ding, JH Sohn, MG Kawczynski, H Trivedi, R Harnish, NW Jenkins, ...
Radiology 290 (2), 456-464, 2019
6732019
Multiparametric 3T prostate magnetic resonance imaging to detect cancer: histopathological correlation using prostatectomy specimens processed in customized magnetic resonance …
B Turkbey, H Mani, V Shah, AR Rastinehad, M Bernardo, T Pohida, ...
The Journal of urology 186 (5), 1818-1824, 2011
5762011
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
4272022
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
JAMA network open 3 (3), e200265-e200265, 2020
3962020
Ethics of large language models in medicine and medical research
H Li, JT Moon, S Purkayastha, LA Celi, H Trivedi, JW Gichoya
The Lancet Digital Health 5 (6), e333-e335, 2023
2302023
Multi-institutional validation of a mammography-based breast cancer risk model
A Yala, PG Mikhael, F Strand, G Lin, S Satuluru, T Kim, I Banerjee, ...
Journal of Clinical Oncology 40 (16), 1732-1740, 2022
1482022
Systematic review of generative adversarial networks (GANs) for medical image classification and segmentation
JJ Jeong, A Tariq, T Adejumo, H Trivedi, JW Gichoya, I Banerjee
Journal of Digital Imaging 35 (2), 137-152, 2022
1202022
AI pitfalls and what not to do: mitigating bias in AI
JW Gichoya, K Thomas, LA Celi, N Safdar, I Banerjee, JD Banja, ...
The British Journal of Radiology 96 (1150), 20230023, 2023
1182023
Automatic determination of the need for intravenous contrast in musculoskeletal MRI examinations using IBM Watson’s natural language processing algorithm
H Trivedi, J Mesterhazy, B Laguna, T Vu, JH Sohn
Journal of digital imaging 31, 245-251, 2018
1022018
Decoding radiology reports: potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports
H Li, JT Moon, D Iyer, P Balthazar, EA Krupinski, ZL Bercu, JM Newsome, ...
Clinical imaging 101, 137-141, 2023
792023
Optimizing risk-based breast cancer screening policies with reinforcement learning
A Yala, PG Mikhael, C Lehman, G Lin, F Strand, YL Wan, K Hughes, ...
Nature medicine 28 (1), 136-143, 2022
792022
Use of patient-specific MRI-based prostate mold for validation of multiparametric MRI in localization of prostate cancer
H Trivedi, B Turkbey, AR Rastinehad, CJ Benjamin, M Bernardo, T Pohida, ...
Urology 79 (1), 233-239, 2012
782012
The state of radiology AI: considerations for purchase decisions and current market offerings
Y Tadavarthi, B Vey, E Krupinski, A Prater, J Gichoya, N Safdar, H Trivedi
Radiology: Artificial Intelligence 2 (6), e200004, 2020
742020
Age-related changes in prostate zonal volumes as measured by high-resolution magnetic resonance imaging (MRI): a cross-sectional study in over 500 patients.
B Turkbey, R Huang, S Vourganti, H Trivedi, M Bernardo, P Yan, ...
BJU international 110 (11), 2012
662012
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
642023
Current clinical applications of artificial intelligence in radiology and their best supporting evidence
A Tariq, S Purkayastha, GP Padmanaban, E Krupinski, H Trivedi, ...
Journal of the American College of Radiology 17 (11), 1371-1381, 2020
632020
Postural responses to unexpected perturbations of balance during reaching
H Trivedi, JA Leonard, LH Ting, PJ Stapley
Experimental brain research 202 (2), 485-491, 2010
402010
Magnetic resonance imaging (MRI)‐guided transurethral ultrasound therapy of the prostate: a preclinical study with radiological and pathological correlation using customised …
A Partanen, NK Yerram, H Trivedi, MR Dreher, J Oila, AN Hoang, D Volkin, ...
BJU international 112 (4), 508-516, 2013
372013
SCU‐Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammograms
X Guo, WC O'Neill, B Vey, TC Yang, TJ Kim, M Ghassemi, I Pan, ...
Medical physics 48 (10), 5851-5861, 2021
302021
Patient-specific COVID-19 resource utilization prediction using fusion AI model
A Tariq, LA Celi, JM Newsome, S Purkayastha, NK Bhatia, H Trivedi, ...
NPJ digital medicine 4 (1), 94, 2021
302021
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