Faculty profile

Ilker Hacihaliloglu

ResearcherRadiology and MedicineUniversity of British Columbia

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of British Columbia directory, so their courses may be missing. Find their university profile.

Ilker Hacihaliloglu

Researcher

Radiology and Medicine

University of British Columbia

Vancouver, British Columbia, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
15 publications in the last five years, latest in 2026.
Senior (last) author on 8 recent papers, a sign of leading a research group.
Principal investigator on 1 research grant (1 NSERC), most recently in 2023.

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

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Publications

Collaborators

Grants

Publications by year

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Signals and details

Research

computer assisted diagnosis computer assisted interventions deep learning for medical imaging medical image analysis ultrasound image processing

Latest papers

A clinically anchored radiomics dictionary for explainable TI-RADS-based thyroid nodule classification in ultrasound; dictionary version TU1.0.
European journal of radiology · 2026
MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-care Ultrasound Devices.
Ultrasound in medicine & biology · 2026 · senior author
Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer, Dictionary Version PM1.0.
Journal of imaging informatics in medicine · 2026 · senior author

All 24 publications

Latest funding

Software organization for open source reproducible musculoskeletal imaging research workflows
CIHR · 2025 · Co-investigator
$20,000
On-Device Continual Learning Methods for Point of Care Ultrasound
NSERC · 2023 · Principal investigator
$84,000

All 2 grants and awards

24 publications.

A clinically anchored radiomics dictionary for explainable TI-RADS-based thyroid nodule classification in ultrasound; dictionary version TU1.0.

Salmanpour M, Taeb S, Jouzdani AF, Ayazi M, Saffarian SH, Maghsudi M, Hacihaliloglu I, Rahmim A

European journal of radiology2026

DOI: 10.1016/j.ejrad.2026.113014 PMID: 42302438

MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-care Ultrasound Devices.

Kimbowa A, Parmar A, Mujtaba I, Wei W, Badii M, Harkey M, Liu D, Hacihaliloglu I

Ultrasound in medicine & biology2026Senior author

DOI: 10.1016/j.ultrasmedbio.2026.04.011 PMID: 42106307

Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer, Dictionary Version PM1.0.

Salmanpour MR, Amiri S, Gharibi S, Shariftabrizi A, Xu Y, Weeks WB, Rahmim A, Hacihaliloglu I

Journal of imaging informatics in medicine2026Senior author

DOI: 10.1007/s10278-025-01585-5 PMID: 40608191

Multifeature Ultrasound-Based Classification for Breast Lesions: A Comparative Study of PONS Image Enhancement Technology.

Daloglu SM, Coskun C, Bekar G, Sahin S, Letter HP, Castro H, Hacihaliloglu S, Hacihaliloglu I

Mayo Clinic proceedings. Innovations, quality & outcomes2026Senior author

DOI: 10.1016/j.mayocpiqo.2025.100691 PMID: 41584234

Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging.

Salmanpour MR, Mehrnia SS, Jabarzadeh Ghandilu S, Safahi Z, Falahati S, Taeb S, Mousavi G, Maghsudi M, Shariftabrizi A, Hacihaliloglu I, Rahmim A

Journal of imaging informatics in medicine2026

DOI: 10.1007/s10278-025-01804-z PMID: 41612111

Radiological and biological dictionary of radiomics features: addressing understandable AI issues in personalized breast cancer; dictionary version BM1.0.

Gorji A, Sanati N, Pouria AH, Mehrnia SS, Hacihaliloglu I, Rahmim A, Salmanpour MR

Physics in medicine and biology2026

DOI: 10.1088/1361-6560/ae3658 PMID: 41512457

Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0.

Salmanpour MR, Piri SM, Mehrnia SS, Shariftabrizi A, Allahmoradi M, Manem VS, Rahmim A, Hacihaliloglu I

Journal of imaging informatics in medicine2026Senior author

DOI: 10.1007/s10278-025-01817-8 PMID: 41526557

Influence of high-performance image-to-image translation networks on clinical visual assessment and outcome prediction: utilizing ultrasound to MRI translation in prostate cancer.

Salmanpour MR, Mousavi A, Xu Y, Weeks WB, Hacihaliloglu I

International journal of computer assisted radiology and surgery2026Senior author

DOI: 10.1007/s11548-025-03481-3 PMID: 40683943

Evaluation of UNeXt for Automatic Bone Surface Segmentation on Ultrasound Imaging in Image-Guided Pediatric Surgery.

Zee JMV, Rahman AM, Gunnewiek KK, Hiep MAJ, Fitski M, Hacihaliloglu I, Alsinan AZ, Patel VM, Littooij AS, Steeg AFWV

Bioengineering (Basel, Switzerland)2025

DOI: 10.3390/bioengineering12101008 PMID: 41155007

Author Correction: Developing a Canadian artificial intelligence medical curriculum using a Delphi study.

Singla R, Pupic N, Ghaffarizadeh SA, Kim C, Hu R, Forster BB, Hacihaliloglu I

NPJ digital medicine2025Senior author

DOI: 10.1038/s41746-024-01398-w PMID: 39753924

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Ilker Hacihaliloglu

Research

Latest papers

Latest funding

A clinically anchored radiomics dictionary for explainable TI-RADS-based thyroid nodule classification in ultrasound; dictionary version TU1.0.

MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-care Ultrasound Devices.

Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer, Dictionary Version PM1.0.

Multifeature Ultrasound-Based Classification for Breast Lesions: A Comparative Study of PONS Image Enhancement Technology.

Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging.

Radiological and biological dictionary of radiomics features: addressing understandable AI issues in personalized breast cancer; dictionary version BM1.0.

Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0.

Influence of high-performance image-to-image translation networks on clinical visual assessment and outcome prediction: utilizing ultrasound to MRI translation in prostate cancer.

Evaluation of UNeXt for Automatic Bone Surface Segmentation on Ultrasound Imaging in Image-Guided Pediatric Surgery.

Author Correction: Developing a Canadian artificial intelligence medical curriculum using a Delphi study.

Software organization for open source reproducible musculoskeletal imaging research workflows

On-Device Continual Learning Methods for Point of Care Ultrasound

Frequent collaborators

Arman Rahmim

Pierre Guy

Antony Hodgson

Robert Rohling

Purang Abolmaesumi

David Wilson