Publications

Research in medical imaging, machine learning, and human intelligence.

2026 Clear all

61–80 of 122 publications

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2026MICCAI 2026 (CliMeM Workshop)

How resilient are foundation segmentation models to noisy ultrasound artifacts? a multi-dataset benchmark across prompts, noise types, and severity levels

Nguyen Tran Quoc Duy , Minh Quan Nguyen, Trung Thanh Nguyen, Thanh-Huy Nguyen, Thien Nguyen, Xiaofeng Liu, Ulas Bagci

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2026IEEE EMBC 2026

Hybrid multi-dimensional MRI prostate cancer detection via Hadamard network-based bias correction and residual networks

Emadeldeen Hamdan, Gorkem Durak, Muhammed Enes Tasci, Abel Lorente Campos, Aritrick Chatterjee, Roger Engelmann, Gregory Karczma, Aytekin Oto, Ahmet Enis Cetin, Ulas Bagci

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2026ISMRM 2026

Imaging biomarkers of cirrhosis: functional liver imaging score and liver surface nodularity correlations with MELD-na

Tasci, M.E, et al.

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2026IEEE ACDSA 2026

Improved segmentation of polyps and visual explainability analysis

Akwasi Asare, Thanh-Huy Nguyen, Ulas Bagci

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2026Mayo Clinic Innovations in Gastroenterology and Hepatology 2026: Artificial Intelligence and Beyond

In-depth radiological and explainability analysis of deep learning

Halil Ertugrul Aktas, Andrea Mia Bejar, Ziliang Hong, Rutger Hendrix, Hongyi Pan, Elif Keles, Fergan Bol, Yavuz Bahadir Taktak, Yuri Velichko, Alpay Medetalibeyoglu, Sukru Mehmet Erturk, Lili Zhao, Frank H. Miller, Michael Wallace, Rajesh N. Keswani, Gorkem Durak, and Ulas Bagci

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2026ISMRM 2026

In-depth radiological and explainability analysis of deep learning predictions for IPMN risk stratification on MRI

Aktas, E. et al

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2026ESGAR-2026

IPMN risk assessment with subregional radiomics and deep learning

E. Sen Tasi, A.M. Bejar, M. Nelson, H. Aktas, Z. Hong, E. Keles, M. Tasci, S. Kayali, F. Farahmand, F. Miller, M.B. Wallace, R. Keswani, G. Durak, U. Bagci

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2026MAYO CLINIC INNOVATIONS IN GASTROENTEROLOGY AND HEPATOLOGY 2026: ARTIFICIAL INTELLIGENCE AND BEYOND

IPMN risk assessment with subregional radiomics and deep learning

Andrea Mia Bejar, Eminenur Sen Tasci, Max Nelson, Halil Ertugrul Aktas, Katie Wu, Ziliang Hong, Elif Keles, Muhammed Enes Tasci, Frank H Miller, Michael B Wallace, Rajesh N Keswani, Gorkem Durak, Ulas Bagci

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2026Communications Medicine (Nature)

Large language models standardize the interpretation of complex oncology guidelines for brain metastases

Berna Akkus Yildirim, Baver Tutun, Gorkem Durak, Emre Batuhan Yildirim, Emre Uysal, Sukru Mehmet Erturk, Ulas Bagci

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2026RSNA 2026 (Scientific Presentation)

Large language models versus radiology experts in ACR-based abdominal MRI protocol selection

Mucahit Ekici

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2026ISMRM 2026

Liver cirrhosis visual severity estimation from MRI with deep learning

Aktas, H.E., et al

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2026RSNA 2026 (Scientific Presentation)

Long-term risk of advanced pancreas neoplasia in patients with pancreas cystic neoplasms: results from a large multi-center cohort study

Andrea Bejar et al

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2026RSNA 2026 (Scientific Presentation)

Looking beyond the lesion: combining tumor, pancreas, duct, and clinical biomarkers detects early pancreatic cancer on routine CT across 147 centers

Zongwei Zhou et al

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2026CVPR 2026

LUMINA: a multi-vendor mammography benchmark with energy harmonization protocol

Hongyi Pan, Gorkem Durak, Halil Ertugrul Aktas, Andrea M Bejar, Baver Tutun, Emre Uysal, Ezgi Bulbul, Mehmet Fatih Dogan, Berrin Erok, Berna Akkus Yildirim, Sukru Mehmet Erturk, Ulas Bagci

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2026RSNA 2026 (Scientific Presentation)