| Textbook of gastrointestinal radiology RM Gore, MS Levine Elsevier Health Sciences, 2021 | 400* | 2021 |
| 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 | 186 | 2023 |
| 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 | 113 | 2015 |
| 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 | 86 | 2017 |
| 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 | 78 | 2018 |
| 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 | 70 | 2018 |
| Encapsulating peritoneal sclerosis: the abdominal cocoon M Singhal, S Krishna, A Lal, S Narayanasamy, A Bal, TD Yadav, ... Radiographics 39 (1), 62-77, 2019 | 67 | 2019 |
| GPT-4 in radiology: improvements in advanced reasoning R Bhayana, RR Bleakney, S Krishna Radiology 307 (5), e230987, 2023 | 66 | 2023 |
| 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 | 65 | 2019 |
| 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 | 59 | 2020 |
| 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 | 53 | 2021 |
| 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 | 51 | 2019 |
| 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 | 48 | 2018 |
| 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 | 39 | 2021 |
| 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 | 39 | 2020 |
| 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 | 39 | 2019 |
| 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 | 35 | 2017 |
| 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 | 35 | 2017 |
| Role of MRI in staging of penile cancer S Krishna, K Shanbhogue, N Schieda, F Morbeck, B Hadas, G Kulkarni, ... Journal of Magnetic Resonance Imaging 51 (6), 1612-1629, 2020 | 30 | 2020 |
| Comparison of prostate imaging reporting and data system versions 1 and 2 for the detection of peripheral zone Gleason score 3+ 4= 7 cancers S Krishna, M McInnes, C Lim, R Lim, SW Hakim, TA Flood, N Schieda American Journal of Roentgenology 209 (6), W365-W373, 2017 | 29 | 2017 |
Nicola SchiedaProfessor of Radiology, The Ottawa Hospital - The University of Ottawa在 toh.on.ca 的电子邮件经过验证
