Publications

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

Liver health Clear all

1–20 of 21 publications

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2026RSNA 2026 (Educational Exhibit)

AI for predicting recurrence and local tumor progression after locoregional therapies in hepatocellular carcinoma on MRI

Mehmet Akpinar et al.

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2026RSNA 2026 (Educational Exhibit)

AI transformation in cirrhosis management

Enes Tasci et al.

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2026Journal of Vascular and Interventional Radiology

Augmented and virtual reality for preprocedural planning in hepatic transarterial interventional oncology: a pilot study in 50 cases

Saad Abu Zahra, Matthew Antalek, Ashima Kundu, Arsalan Nadeem, Stefan Schenke, Kyle Finos, Neil Chatterjee, Ulas Bagci, Robert J Lewandowski, Andrew C Gordon

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2026ASC 2026

Functional MRI scoring as a noninvasive method to predict hepatic functional reserve

G. Durak, Y.B. Taktak, B. Gültekin, S. Bayrak, E. Özkan, Ö. Ikizgül, E. Aktas, M. Ertürk, A. Medetalibeyoglu, U. 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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2026ISMRM 2026

Liver cirrhosis visual severity estimation from MRI with deep learning

Aktas, H.E., et al

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2026DDW 2026

Noninvasive imaging biomarkers of cirrhosis: functional liver imaging score and liver surface modularity correlations with MELD-NA

Enes Tasci, et al.

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2026RSNA 2026 (Scientific Presentation)

Prognostic value of functional liver imaging score and liver surface nodularity on gadoxetic acid-enhanced MRI in cirrhosis

Yavuz Bahadir Taktak et al

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2026MICCAI 2026

SRMA-mamba: spatial reverse mamba attention network for pathological liver segmentation in MRI volumes

Jun Zeng, Quoc-Huy Trinh, Deepak Ranjan Nayak, Nikhil Tomar Kumar, Ulas Bagci, Debesh Jha

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2025IEEE ICECCME 2025

A reverse mamba attention network for pathological liver segmentation

Jun Zeng, Debesh Jha, Ertugrul Aktas, Elif Keles, Alpay Medetalibeyoglu, Matthew Antalek, Robert Lewandowski, Daniela Ladner, Amir A. Borhani, Gorkem Durak, Ulas Bagci

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2025Abdominal Radiology - 2025

Current applications of radiomics in the assessment of tumor microenvironment of hepatocellular carcinoma

Junghwa Choi et al

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2025Tomography

Delta radiomics and tumor size: a new predictive radiomics model for chemotherapy response in liver metastases from breast and colorectal cancer

Nicolo Gennaro et al.

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2025CARE 2025 Challenge - MICCAI

Label-efficient cross-modality generalization for liver segmentation in multi-phase MRI

Quang-Khai Bui-Tran, Minh-Toan Dinh, Thanh-Huy Nguyen, Ba-Thinh Lam, Mai-Anh Vu, Ulas Bagci

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2025Nature Scientific Data - 2025

Large scale MRI collection and segmentation of cirrhotic liver

Debesh Jha, Onkar Kishor Susladkar, Vandan Gorade, Elif Keles, Matthew Antalek, Deniz Seyithanoglu, Timurhan Cebeci, Halil Ertugrul Aktas, Gulbiz Dagoglu Kartal, Sabahattin Kaymakoglu, Sukru Mehmet Erturk, Yuri Velichko, Daniela P. Ladner, Amir A. Borhani, Alpay Medetalibeyoglu, Gorkem Durak & Ulas Bagci

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2025IEEE EMBC 2025

Liver cirrhosis stage estimation from MRI with deep learning

Jun Zeng, Debesh Jha, Ertugrul Aktas, Elif Keles, Alpay Medetalibeyoglu, Matthew Antalek, Federica Proietto Salanitri, Amir Borhani, Daniela Ladner, Gorkem Durak, Ulas Bagci

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2025SPIE Medical Imaging 2025

Towards synergistic deep learning models for volumetric cirrhotic liver segmentation in MRIs

Vandan Gorade, Onkar Susladkar, Gorkem Durak, Elif Keles, Ertugrul Aktas, Timurhan Cebeci, Alpay Medetalibeyoglu, Daniela P. Ladner, Debesh Jha, and Ulas Bagci

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2024IEEE ISBI 2024 (Oral)