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Vishwa Parekh
Vishwa Parekh
UTHealth Houston
Verificeret mail på uth.tmc.edu
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Radiomics: a new application from established techniques
V Parekh, MA Jacobs
Expert review of precision medicine and drug development 1 (2), 207-226, 2016
4022016
Deep learning and radiomics in precision medicine
VS Parekh, MA Jacobs
Expert review of precision medicine and drug development 4 (2), 59-72, 2019
2322019
Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI
VS Parekh, MA Jacobs
NPJ breast cancer 3 (1), 43, 2017
1752017
Distinguishing true progression from radionecrosis after stereotactic radiation therapy for brain metastases with machine learning and radiomics
L Peng, V Parekh, P Huang, DD Lin, K Sheikh, B Baker, T Kirschbaum, ...
International Journal of Radiation Oncology* Biology* Physics 102 (4), 1236-1243, 2018
1422018
Trainable High Resolution Melt Curve Machine Learning Classifier for Large-Scale Reliable Genotyping of Sequence Variants
P Athamanolap, V Parekh, SI Fraley, V Agarwal, DJ Shin, MA Jacobs, ...
PloS one 9 (10), e109094, 2014
672014
Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging
VS Parekh, MA Jacobs
Breast cancer research and treatment 180, 407-421, 2020
612020
Radiomic features of the pancreas on CT imaging accurately differentiate functional abdominal pain, recurrent acute pancreatitis, and chronic pancreatitis
R Mashayekhi, VS Parekh, M Faghih, VK Singh, MA Jacobs, A Zaheer
European journal of radiology 123, 108778, 2020
482020
Multiparametric deep learning tissue signatures for a radiological biomarker of breast cancer: Preliminary results
VS Parekh, KJ Macura, SC Harvey, IR Kamel, R EI‐Khouli, DA Bluemke, ...
Medical physics 47 (1), 75-88, 2020
462020
A Deep Learning System for Synthetic Knee Magnetic Resonance Imaging: Is Artificial Intelligence‐Based Fat-Suppressed Imaging Feasible?
LM Fayad, VS Parekh, R de Castro Luna, CC Ko, D Tank, J Fritz, ...
Investigative radiology 56 (6), 357-368, 2021
392021
Cross-domain federated learning in medical imaging
VS Parekh, S Lai, V Braverman, J Leal, S Rowe, JJ Pillai, MA Jacobs
arXiv preprint arXiv:2112.10001, 2021
312021
Generalizability and bias in a deep learning pediatric bone age prediction model using hand radiographs
E Beheshtian, K Putman, SM Santomartino, VS Parekh, PH Yi
Radiology 306 (2), e220505, 2022
302022
A collective AI via lifelong learning and sharing at the edge
A Soltoggio, E Ben-Iwhiwhu, V Braverman, E Eaton, B Epstein, Y Ge, ...
Nature Machine Intelligence 6 (3), 251-264, 2024
212024
Integrated multiparametric radiomics and informatics system for characterizing breast tumor characteristics with the OncotypeDX gene assay
MA Jacobs, CB Umbricht, VS Parekh, RH El Khouli, L Cope, KJ Macura, ...
Cancers 12 (10), 2772, 2020
212020
Economic and environmental costs of cloud technologies for medical imaging and radiology artificial intelligence
FX Doo, P Kulkarni, EL Siegel, M Toland, HY Paul, RC Carlos, VS Parekh
Journal of the American College of Radiology 21 (2), 248-256, 2024
202024
Exploring the clinical translation of generative models like ChatGPT: promise and pitfalls in radiology, from patients to population health
FX Doo, TS Cook, EL Siegel, A Joshi, V Parekh, A Elahi, HY Paul
Journal of the American College of Radiology 20 (9), 877-885, 2023
202023
Longitudinal functional and imaging outcome measures in FKRP limb-girdle muscular dystrophy
DG Leung, AE Bocchieri, S Ahlawat, MA Jacobs, VS Parekh, V Braverman, ...
BMC neurology 20, 1-12, 2020
192020
Multiparametric radiomic tissue signature and machine learning for distinguishing radiation necrosis from tumor progression after stereotactic radiosurgery
X Chen, VS Parekh, L Peng, MD Chan, KJ Redmond, M Soike, E McTyre, ...
Neuro-Oncology Advances 3 (1), vdab150, 2021
172021
Medical imaging data science competitions should report dataset demographics and evaluate for bias
SP Garin, VS Parekh, J Sulam, PH Yi
Nature medicine 29 (5), 1038-1039, 2023
152023
Radiomic Synthesis Using Deep Convolutional Neural Networks
VS Parekh, MA Jacobs
https://arxiv.org/abs/1810.11090, 2018
122018
A phase Ib/IIa, open‐label, multiple ascending‐dose trial of domagrozumab in fukutin‐related protein limb‐girdle muscular dystrophy
DG Leung, AE Bocchieri, S Ahlawat, MA Jacobs, VS Parekh, V Braverman, ...
Muscle & Nerve 64 (2), 172-179, 2021
112021
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Artikler 1–20