Faculty profile

Kartik Jhaveri

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ProfessorDepartment of Medical ImagingUniversity of Toronto

Kartik Jhaveri

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.
20 publications in the last five years, latest in 2026.
Senior (last) author on 6 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

1,159

Citations

251

Collaborators

Grants

Publications by year

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

Roles and appointments

Program Director, Continuing Medical Education; Director, Abdominal MRI, JDMI

Profiles and links

University Profile

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iDORCID OpenAlex

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Signals and details

Research

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

Latest papers

Living liver donor safety: Preoperative aspects of living liver donation- Guidelines from the ILTS-iLDLT consensus conference.
Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2026
Machine learning in the prediction of liver iron concentration and iron chelation therapy adjustment.
Hematology (Amsterdam, Netherlands) · 2026 · senior author
Deep learning analysis of MRI accurately detects early-stage perihilar cholangiocarcinoma in patients with primary sclerosing cholangitis.
Hepatology (Baltimore, Md.) · 2026

All 46 publications

Latest funding

Phase II study to assess the safety of non-operative management (NOM) for low rectal cancer (LRC)
CIHR · 2016 · Co-investigator
$405,185

All 1 grants and awards

46 publications.

Living liver donor safety: Preoperative aspects of living liver donation- Guidelines from the ILTS-iLDLT consensus conference.

Selzner N, Patel MS, Khan MQ, Magistri P, Sayed BA, Rammohan A, Humar A, Abbey S, Badenoch H, Bhangui P, Cattral M, Durand F, Gross JA, Hibi T, Jhaveri K, Kabacam G, Khan M, Malik A, Nadalin S, Ng VL, Petrowsky H, Pillai A, Reddy MS, Tokat Y, Wong T, Yilmaz S, Yoshizumi T, Ascher N, Broering D, Burra P, Chen CL, Hirschfield G, Lerut J, Mas V, Taner T, Terrault N, Vyas MP, Wiggins C, Heimbach J, Olthoff K, Rela M, Bhangui P

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society20263 citationsOpen Access

DOI: 10.1097/lvt.0000000000000798 PMID: 41511461

Machine learning in the prediction of liver iron concentration and iron chelation therapy adjustment.

Loh JB, Kim S, Ward R, Sagheb S, Binding A, Kuo KHM, McIntosh C, Jhaveri K

Hematology (Amsterdam, Netherlands)2026Senior authorOpen Access

DOI: 10.1080/16078454.2026.2647314 PMID: 41925003

Deep learning analysis of MRI accurately detects early-stage perihilar cholangiocarcinoma in patients with primary sclerosing cholangitis.

Singh Y, Eaton JE, Venkatesh SK, Welle CL, Smith B, Faghani S, Vesterhus M, Karlsen TH, Jorgensen KK, Folseraas T, Petrovic K, Negard A, Bjoerk I, Abildgaard A, Gulamhusein AF, Jhaveri K, Gores GJ, Ilyas SI, Taner T, Heimbach JK, Diwan TS, LaRusso NF, Lazaridis KN, Erickson BJ

Hepatology (Baltimore, Md.)2026

DOI: 10.1097/hep.0000000000001314 PMID: 40112296

The Role of MRI in Non-Operative Management of Locally Advanced Rectal Cancer.

Lai EHY, Kennedy E, Thipphavong S, Jhaveri K

Journal of gastrointestinal cancer2026Senior author

DOI: 10.1007/s12029-026-01412-2 PMID: 41896438

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 citations

DOI: 10.1148/radiol.242134 PMID: 39903072

Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease.

Kosick HM, McIntosh C, Bera C, Fakhriyehasl M, Shengir M, Adeyi O, Amiri L, Sebastiani G, Jhaveri K, Patel K

Scientific reports202512 citationsOpen Access

DOI: 10.1038/s41598-025-09288-1 PMID: 40628914

[18F]F-DCFPyL PET/MRI radiomics for intraprostatic prostate cancer detection and metastases prediction using whole-gland segmentation.

Mirshahvalad SA, Basso Dias A, Ortega C, Abreu Gomez JA, Krishna S, Perlis N, Berlin A, van der Kwast T, Jhaveri K, Ghai S, Metser U, Santiago AT, Veit-Haibach P

The British journal of radiology20255 citationsOpen Access

DOI: 10.1093/bjr/tqaf014 PMID: 39847533

Knowledge Translation Interventions to Address Gaps in Rectal Cancer Care

Kennedy ED, Pooni A, Schmocker S, Brown C, MacLean A, Baxter NN, Williams L, Simunovic M, Liberman S, Drolet S

JAMA Network Open20253 citationsOpen Access

DOI: 10.1001/jamanetworkopen.2024.61047

Comparison of dual arterial phase gadoxetic acid enhanced MRA with CTA for depiction of hepatic vasculature in potential liver donor candidates.

Serrao EM, Odreda D, Basso-Dias A, Li X, Kashani H, Prasla S, Malik S, Cattral M, Jhaveri K

European journal of radiology20252 citationsSenior author

DOI: 10.1016/j.ejrad.2025.112335 PMID: 40818218

Accuracy, repeatability, reproducibility and reference ranges of primary sclerosing cholangitis specific biomarkers from quantitative MRCP.

Harisinghani M, Davis T, Ralli G, Ferreira C, Paun B, Borghetto A, Dennis A, Jhaveri K, Del Grande F, Finnegan S, Pansini M

Abdominal radiology (New York)2025

DOI: 10.1007/s00261-025-04941-9 PMID: 40244479

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

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Kartik Jhaveri

Research

Latest papers

Latest funding

Living liver donor safety: Preoperative aspects of living liver donation- Guidelines from the ILTS-iLDLT consensus conference.

Machine learning in the prediction of liver iron concentration and iron chelation therapy adjustment.

Deep learning analysis of MRI accurately detects early-stage perihilar cholangiocarcinoma in patients with primary sclerosing cholangitis.

The Role of MRI in Non-Operative Management of Locally Advanced Rectal Cancer.

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

Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease.

[18F]F-DCFPyL PET/MRI radiomics for intraprostatic prostate cancer detection and metastases prediction using whole-gland segmentation.

Knowledge Translation Interventions to Address Gaps in Rectal Cancer Care

Comparison of dual arterial phase gadoxetic acid enhanced MRA with CTA for depiction of hepatic vasculature in potential liver donor candidates.

Accuracy, repeatability, reproducibility and reference ranges of primary sclerosing cholangitis specific biomarkers from quantitative MRCP.

Phase II study to assess the safety of non-operative management (NOM) for low rectal cancer (LRC)

Frequent collaborators

Erin Kennedy

Richard Kirsch

Nancy Baxter

Marko Simunovic

Mark Cattral

Ur Metser

Sangeet Ghai

Ants Toi

Adriano Dias

Antonio Finelli

Richard Ward

Nazia Selzner

Nathan Perlis

Sandra Fischer

Myles Margolis

Zahra Kassam

Shobhit Mathur

Masoom Haider

Chris McIntosh

David Grant

Caroline Reinhold

Patrick Veit-Haibach

James Brierley

Christopher McIntosh

Jonathan Wasserman

David Wang

Sarah Johnson

Rajni Patel

Dilkash Kajal

Ania Kielar

Ciara O'Brien