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Satheesh Krishna
Satheesh Krishna
Assistant Professor, Department of Radiology, University of Toronto
Bestätigte E-Mail-Adresse bei utoronto.ca
Titel
Zitiert von
Zitiert von
Jahr
Textbook of gastrointestinal radiology
RM Gore, MS Levine, I Laufer
Saunders, 1994
240*1994
Performance of ChatGPT on a radiology board-style examination: insights into current strengths and limitations
R Bhayana, S Krishna, RR Bleakney
Radiology 307 (5), e230582, 2023
1592023
Clinical application of ‘Justification’and ‘Optimization’principle of ALARA in pediatric CT imaging:“How many children can be protected from unnecessary radiation?”
KS Sodhi, S Krishna, AK Saxena, A Sinha, N Khandelwal, EY Lee
European journal of radiology 84 (9), 1752-1757, 2015
1112015
CT imaging of solid renal masses: pitfalls and solutions
S Krishna, CA Murray, MD McInnes, R Chatelain, M Siddaiah, ...
Clinical radiology 72 (9), 708-721, 2017
852017
Diagnostic accuracy of magnetic resonance imaging for tumour staging of bladder cancer: systematic review and meta‐analysis
N Gandhi, S Krishna, CM Booth, RH Breau, TA Flood, SC Morgan, ...
BJU international 122 (5), 744-753, 2018
782018
Evaluation of MRI for diagnosis of extraprostatic extension in prostate cancer
S Krishna, CS Lim, MDF McInnes, TA Flood, WM Shabana, RS Lim, ...
Journal of Magnetic Resonance Imaging 47 (1), 176-185, 2018
682018
Encapsulating peritoneal sclerosis: the abdominal cocoon
M Singhal, S Krishna, A Lal, S Narayanasamy, A Bal, TD Yadav, ...
Radiographics 39 (1), 62-77, 2019
672019
Automated segmentation of prostate zonal anatomy on T2‐weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U‐Nets
F Zabihollahy, N Schieda, S Krishna Jeyaraj, E Ukwatta
Medical physics 46 (7), 3078-3090, 2019
612019
Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion
F Zabihollahy, N Schieda, S Krishna, E Ukwatta
European Radiology 30, 5183-5190, 2020
572020
GPT-4 in radiology: improvements in advanced reasoning
R Bhayana, RR Bleakney, S Krishna
Radiology 307 (5), e230987, 2023
542023
Quantitative prostate MRI
N Schieda, CS Lim, F Zabihollahy, J Abreu‐Gomez, S Krishna, S Woo, ...
Journal of magnetic resonance imaging 53 (6), 1632-1645, 2021
502021
Transition zone prostate cancer: Logistic regression and machine‐learning models of quantitative ADC, shape and texture features are highly accurate for diagnosis
M Wu, S Krishna, RE Thornhill, TA Flood, MDF McInnes, N Schieda
Journal of Magnetic Resonance Imaging 50 (3), 940-950, 2019
492019
Diagnostic accuracy of unenhanced CT analysis to differentiate low-grade from high-grade chromophobe renal cell carcinoma
N Schieda, RS Lim, S Krishna, MDF McInnes, TA Flood, RE Thornhill
American Journal of Roentgenology 210 (5), 1079-1087, 2018
462018
Contemporary update on imaging of cystic renal masses with histopathological correlation and emphasis on patient management
S Narayanasamy, S Krishna, AKP Shanbhogue, TA Flood, N Sadoughi, ...
Clinical radiology 74 (2), 83-94, 2019
402019
Ensemble U‐net‐based method for fully automated detection and segmentation of renal masses on computed tomography images
Z Fatemeh, S Nicola, K Satheesh, U Eranga
Medical physics 47 (9), 4032-4044, 2020
382020
Prognostic value of Prostate Imaging and Data Reporting System (PI‐RADS) v. 2 assessment categories 4 and 5 compared to histopathological outcomes after radical prostatectomy
CS Lim, MDF McInnes, RS Lim, RH Breau, TA Flood, S Krishna, C Morash, ...
Journal of Magnetic Resonance Imaging 46 (1), 257-266, 2017
362017
Bosniak classification of cystic renal masses, version 2019: A pictorial guide to clinical use
N Schieda, MS Davenport, S Krishna, EA Edney, I Pedrosa, N Hindman, ...
Radiographics 41 (3), 814-828, 2021
352021
Utility of MRI to differentiate clear cell renal cell carcinoma adrenal metastases from adrenal adenomas
N Schieda, S Krishna, MDF McInnes, B Moosavi, A Alrashed, R Moreland, ...
American Journal of Roentgenology 209 (3), W152-W159, 2017
352017
Characterization of clear cell renal cell carcinoma and other renal tumors: evaluation of dual-energy CT using material-specific iodine and fat imaging
A Udare, D Walker, S Krishna, R Chatelain, MDF McInnes, TA Flood, ...
European radiology 30, 2091-2102, 2020
292020
Diagnostic accuracy of qualitative and quantitative computed tomography analysis for diagnosis of pathological grade and stage in upper tract urothelial cell carcinoma
S Mammen, S Krishna, M Quon, WM Shabana, SW Hakim, TA Flood, ...
Journal of Computer Assisted Tomography 42 (2), 204-210, 2018
282018
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