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Rajesh Bhayana

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Assistant ProfessorDepartment of Medical ImagingUniversity of Toronto

Rajesh Bhayana

Assistant Professor

Department of Medical Imaging

Temerty Faculty of Medicine

University of Toronto

Toronto, Ontario, Canada

Supervision signals

Professors usually supervise graduate students in their department's programs.
34 publications in the last five years, latest in 2026.
Senior (last) author on 5 recent papers, a sign of leading a research group.

These signals come from public records, including federal and provincial funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

947

Citations

Collaborators

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

Profiles and links

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Signals and details

Research

Read how they describe their research on their University of Toronto profile.

Latest papers

Comparison of coaxial technique with sequential (non-coaxial) technique for renal mass biopsy: evaluation of diagnostic efficacy, complication rates, seeding risk, and clinical outcomes.
European radiology · 2026
Optimizing Large Language Models for Automated Protocoling of Abdominal and Pelvic CT Scans: The Power of Context
Radiology · 2026 · senior author
Large Language Model Agentic Workflows for Automated Opportunistic Screening of Incidental Coronary Artery Calcium on Chest CT Reports.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes · 2026 · senior author

All 41 publications

41 publications.

Comparison of coaxial technique with sequential (non-coaxial) technique for renal mass biopsy: evaluation of diagnostic efficacy, complication rates, seeding risk, and clinical outcomes.

Garcia MP, Finelli A, Bhayana R, Schieda N, Kachura J, Basso Dias A, Raveendran L, Abreu Gomez J, Jajodia A, Martin L, Prendeville S, Krishna S

European radiology20267 citations

DOI: 10.1007/s00330-025-11894-6 PMID: 40815307

Optimizing Large Language Models for Automated Protocoling of Abdominal and Pelvic CT Scans: The Power of Context

Bryan W. Buckley, Adriano B. Dias, Yangqing Deng, Heidi Schmidt, Ania Zofia Kielar, Satheesh Krishna, Rajesh Bhayana

Radiology20267 citationsSenior author

DOI: 10.1148/radiol.252105 PMID: 41493275

Large Language Model Agentic Workflows for Automated Opportunistic Screening of Incidental Coronary Artery Calcium on Chest CT Reports.

Ladak AM, Halankar J, Nguyen ET, Hanneman K, Deng Y, Krishna S, Bhayana R

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes20262 citationsSenior author

DOI: 10.1177/08465371251358105 PMID: 40751498

The Democratization of Deceit: Seeing Is No Longer Believing

Rajesh Bhayana, Satheesh Krishna

Radiology20261 citationsFirst author

DOI: 10.1148/radiol.260466 PMID: 41874298

Evaluation, Optimization, and Validation of a Multiparametric CT Algorithm for Solid Renal Masses: CT-Score Version 2.0.

Krishna S, Kandasamy M, Bhayana R, Nanda B, Diwan K, Kamona A, Sairafi S, Prendeville S, Deng Y, Finelli A

Radiology: Imaging Cancer20261 citationsOpen Access

DOI: 10.1148/rycan.250145

Renal Oncocytic Neoplasms: Review of Classification Updates, Imaging, and Management.

Akobeng MA, Bhayana R, Di Loreto M, Taffel M, Woo S, Tirumani SH, Shanbhogue K, Prendeville S, Elsayes K, Schieda N, Silverman SG, Krishna S

Radiographics : a review publication of the Radiological Society of North America, Inc20261 citationsOpen Access

DOI: 10.1148/rg.250131 PMID: 41955128

Imaging the Atypical and Equivocal Appendix

Bhavana Shyamanur, Bipin Nanda, Rosalind Gerson, Kelly C. Harper, Adriano Basso Dias, Vanessa Murad, Ankush Jajodia, Shobhit Mathur, Adnan Sheikh, Rajesh Bhayana, Satheesh Krishna

Radiographics2026

DOI: 10.1148/rg.250153 PMID: 41886299

Pancreatic Cancer AI: The Need for Prospective Outcome Studies.

Bhayana R, Rajpurkar P

Radiology2026First author

DOI: 10.1148/radiol.261539 PMID: 42301008

Diagnostic Accuracy of Bosniak v2019 for Predicting Cancer and Unfavorable Histology in Class III-IV Cystic Renal Masses.

Tse JR, Khalatbari S, Yosef M, Abitbol C, Abou Elkassem AM, Albayrak E, Baroni RH, Bhayana R, Cao JJ, Coelho FMA, Houshmand S, Kamaya A, Krajewski KM, Krishna S, Lee SJ, Mussi TC, Prabhakar S, Schieda N, Shen L, Shinagare AB, Silverman SG, Smith AD, Sonn GA, Taherzadeh M, Wang ZJ, Warner JD, Wentland AL, Pedrosa I, Davenport MS

Radiology2026

DOI: 10.1148/radiol.252603 PMID: 42808899

Leveraging Large Language Models to Generate Clinical Histories for Oncologic Imaging Requisitions.

Bhayana R, Alwahbi O, Ladak AM, Deng Y, Basso Dias A, Elbanna K, Abreu Gomez J, Jajodia A, Jhaveri K, Johnson S, Kajal D, Wang D, Soong C, Kielar A, Krishna S

Radiology202540 citationsFirst author

DOI: 10.1148/radiol.242134 PMID: 39903072

Profile data last refreshed on September 29, 2026 from the university directory, publication records and public research funding records.

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Rajesh Bhayana

Research

Latest papers

Comparison of coaxial technique with sequential (non-coaxial) technique for renal mass biopsy: evaluation of diagnostic efficacy, complication rates, seeding risk, and clinical outcomes.

Optimizing Large Language Models for Automated Protocoling of Abdominal and Pelvic CT Scans: The Power of Context

Large Language Model Agentic Workflows for Automated Opportunistic Screening of Incidental Coronary Artery Calcium on Chest CT Reports.

The Democratization of Deceit: Seeing Is No Longer Believing

Evaluation, Optimization, and Validation of a Multiparametric CT Algorithm for Solid Renal Masses: CT-Score Version 2.0.

Renal Oncocytic Neoplasms: Review of Classification Updates, Imaging, and Management.

Imaging the Atypical and Equivocal Appendix

Pancreatic Cancer AI: The Need for Prospective Outcome Studies.

Diagnostic Accuracy of Bosniak v2019 for Predicting Cancer and Unfavorable Histology in Class III-IV Cystic Renal Masses.

Leveraging Large Language Models to Generate Clinical Histories for Oncologic Imaging Requisitions.

Frequent collaborators

Satheesh Jeyaraj

Ankush Jajodia

Nicola Schieda

Ania Kielar

Susan Prendeville

Adriano Dias

Antonio Finelli

Gonzalo Sapisochin

Anand Ghanekar

Osvaldo Espin Garcia

Kate Hanneman

Jacques Du Plessis

Khaled Elbanna

Genevieve Bouchard-Fortier

Jaydeep Halankar

Heidi Schmidt

Kartik Jhaveri

Sarah Johnson

John Kachura

Dilkash Kajal

Linda Probyn

Ciara O'Brien

Shobhit Mathur

Robert Bleakney

David Wang

Tanya Chawla

Christine Soong

Bernard Cummings

Carol-Anne Moulton

Navdeep Nijhawan

Aditya Bharatha

Kanika Diwan

David Wang

Sunit Das

Erin Kennedy

Bo Wang

Kamil Uludag