I. Irmakci

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis

Concetto Spampinato, Ulas Bagci, Baris Turkbey, 2021, MLMI@MICCAI.

Multi-Contrast MRI Segmentation Trained on Synthetic Images

U. Bagci, I. Irmakci, Nazli Ikizler-Cinbis, 2022, ArXiv.

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images

Federica Proietto Salanitri, U. Bagci, M. Wallace, 2022, ArXiv.

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images

Federica Proietto Salanitri, U. Bagci, M. Wallace, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Machine learning classification of placental villous infarction, perivillous fibrin deposition, and intervillous thrombus.

L. Cooper, J. A. Goldstein, I. Irmakci, 2023, Placenta.

Towards Automatic Cartilage Quantification in Clinical Trials – Continuing from the 2019 IWOAI Knee Segmentation Challenge

Arjun D Desai, C. Igel, B. Hargreaves, 2023, Osteoarthritis Imaging.

Hierarchical 3D Feature Learning for Pancreas Segmentation

Simone Palazzo, Ulas Bagci, Ismail Irmakci, 2021, MLMI@MICCAI.

Tissue contamination challenges the credibility of machine learning models in real world digital pathology

L. Cooper, A. Ross, X. J. Yang, 2023, medRxiv.

Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI

Syed Muhammad Anwar, Mehmet Akcakaya, Drew A. Torigian, 2020, Journal of Signal Processing Systems.

Deep Learning for Musculoskeletal Image Analysis

Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation

Ulas Bagci, Aydogan Savran, Luigi Ferrucci, 2018, IEEE Transactions on Biomedical Engineering.