Bhushan Desai
Bhushan Desai
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Prospective evaluation of 18F-NaF and 18F-FDG PET/CT in detection of occult metastatic disease in biochemical recurrence of prostate cancer
H Jadvar, B Desai, L Ji, PS Conti, TB Dorff, SG Groshen, ME Gross, ...
Clinical nuclear medicine 37 (7), 637, 2012
Baseline 18F-FDG PET/CT parameters as imaging biomarkers of overall survival in castrate-resistant metastatic prostate cancer
H Jadvar, B Desai, L Ji, PS Conti, TB Dorff, SG Groshen, JK Pinski, ...
Journal of Nuclear Medicine 54 (8), 1195-1201, 2013
Comparative performance of PET tracers in biochemical recurrence of prostate cancer: a critical analysis of literature
CY Yu, B Desai, L Ji, S Groshen, H Jadvar
American journal of nuclear medicine and molecular imaging 4 (6), 580, 2014
Sodium 18F-fluoride PET/CT of bone, joint, and other disorders
H Jadvar, B Desai, PS Conti
Seminars in nuclear medicine 45 (1), 58-65, 2015
CT prediction of the Fuhrman grade of clear cell renal cell carcinoma (RCC): towards the development of computer-assisted diagnostic method
H Huhdanpaa, D Hwang, S Cen, B Quinn, M Nayyar, X Zhang, F Chen, ...
Abdominal imaging 40 (8), 3168-3174, 2015
Differentiation of predominantly solid enhancing lipid-poor renal cell masses by use of contrast-enhanced CT: evaluating the role of texture in tumor subtyping
BA Varghese, F Chen, DH Hwang, SY Cen, B Desai, IS Gill, ...
American Journal of Roentgenology 211 (6), W288-W296, 2018
Reliability of CT‐based texture features: Phantom study
BA Varghese, D Hwang, SY Cen, J Levy, D Liu, C Lau, M Rivas, B Desai, ...
Journal of applied clinical medical physics 20 (8), 155-163, 2019
Accuracy of contrast‐enhanced ultrasound compared with magnetic resonance imaging in assessing the tumor response after neoadjuvant chemotherapy for breast cancer
SC Lee, E Grant, P Sheth, AA Garcia, B Desai, L Ji, S Groshen, D Hwang, ...
Journal of Ultrasound in Medicine 36 (5), 901-911, 2017
A decision-support tool for renal mass classification
G Kunapuli, BA Varghese, P Ganapathy, B Desai, S Cen, M Aron, I Gill, ...
Journal of digital imaging 31 (6), 929-939, 2018
Whole lesion quantitative CT evaluation of renal cell carcinoma: differentiation of clear cell from papillary renal cell carcinoma
F Chen, H Huhdanpaa, B Desai, D Hwang, S Cen, A Sherrod, ...
Springerplus 4 (1), 1-8, 2015
Impacts of the coronavirus disease 2019 (COVID-19) pandemic on healthcare workers: a nationwide survey of United States radiologists
NL Demirjian, BKK Fields, C Song, S Reddy, B Desai, SY Cen, S Salehi, ...
Clinical imaging 68, 218-225, 2020
Quantitative contour analysis as an image-based discriminator between benign and malignant renal tumors
FY Yap, DH Hwang, SY Cen, BA Varghese, B Desai, BD Quinn, ...
Urology 114, 121-127, 2018
Prediction of time to hormonal treatment failure in metastatic castration-sensitive prostate cancer with 18F-FDG PET/CT
H Jadvar, EM Velez, B Desai, L Ji, PM Colletti, DI Quinn
Journal of Nuclear Medicine 60 (11), 1524-1530, 2019
Active surveillance of small renal masses: a review on the role of imaging with a focus on growth rate
M Nayyar, P Cheng, B Desai, S Cen, M Desai, I Gill, V Duddalwar
Journal of computer assisted tomography 40 (4), 517-523, 2016
Preliminary results of lung cancer screening in a socioeconomically disadvantaged population
PL Guichet, BY Liu, B Desai, Z Surani, SY Cen, C Lee
American Journal of Roentgenology 210 (3), 489-496, 2018
Contrast‐Enhanced Ultrasound Imaging of Breast Masses: Adjunct Tool to Decrease the Number of False‐Positive Biopsy Results
SC Lee, H Tchelepi, E Grant, B Desai, C Luo, S Groshen, ...
Journal of Ultrasound in Medicine 38 (9), 2259-2273, 2019
FDG PET/CT demonstration of pancreatic metastasis from prostate cancer
B Desai, W Elatre, DI Quinn, H Jadvar
Clinical nuclear medicine 36 (10), 961-962, 2011
Treatment response assessment of metastatic prostate cancer with FDG PET/CT
H Jadvar, B Desai, D Quinn, T Dorff, J Pinski, P Conti, S Groshen
Journal of Nuclear Medicine 52 (supplement 1), 1908-1908, 2011
Quality improvement with discrete event simulation: a primer for radiologists
MT Booker, RJ O’Connell, B Desai, VA Duddalwar
Journal of the American College of Radiology 13 (4), 417-423, 2016
Machine learning based predictors for COVID-19 disease severity
D Patel, V Kher, B Desai, X Lei, S Cen, N Nanda, A Gholamrezanezhad, ...
Scientific Reports 11 (1), 1-7, 2021
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