Publications

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

2025 Liver health Clear all

1–7 of 7 publications

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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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