Ismail Irmakci

According to our database, Ismail Irmakci authored at least 10 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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

Syed Muhammad Anwar, Ismail Irmakci, Drew A. Torigian, Sachin Jambawalikar, Georgios Z. Papadakis, Can Akgun, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci

J. Signal Process. Syst., 2022

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

Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ismail Irmakci, Michael B. Wallace, Candice W. Bolan, Megan Engels, Sanne Hoogenboom, Marco Aldinucci, Ulas Bagci, Daniela Giordano, Concetto Spampinato

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Multi-Contrast MRI Segmentation Trained on Synthetic Images.

Ismail Irmakci, Zeki Emre Unel, Nazli Ikizler-Cinbis, Ulas Bagci

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Capsules for biomedical image segmentation.

Rodney LaLonde, Ziyue Xu, Ismail Irmakci, Sanjay Jain, Ulas Bagci

Medical Image Anal., 2021

Hierarchical 3D Feature Learning for Pancreas Segmentation.

Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato

CoRR, 2021

Hierarchical 3D Feature Learning forPancreas Segmentation.

Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis.

Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2019

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

Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran, Rita R. Kalyani, David Reiter, Chee W. Chia, Kenneth W. Fishbein, Richard G. S. Spencer, Luigi Ferrucci, Ulas Bagci

IEEE Trans. Biomed. Eng., 2019

Deep Learning for Musculoskeletal Image Analysis.

Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2017

Otomatik gürbüz bölütleme ile uyluk MR imgelerinde kas ve yağ miktarlarının belirlenmesi (Quantification of muscle and fat volumes in the thigh MR images using automatic robust segmentation)

Ismail Irmakci

PhD thesis, 2017