Irem Cetin

According to our database, Irem Cetin authored at least 6 papers between 2017 and 2023.

Collaborative distances:

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

2023

Attri-VAE: Attribute-based interpretable representations of medical images with variational autoencoders.

Irem Cetin, Maialen Stephens, Oscar Camara, Miguel Ángel González Ballester

Comput. Medical Imaging Graph., March, 2023

2022

Interpretable machine learning through radiomics and attribute-regularized neural networks for cardiology.

Irem Cetin

PhD thesis, 2022

Attri-VAE: attribute-based, disentangled and interpretable representations of medical images with variational autoencoders.

Irem Cetin, Oscar Camara, Miguel Ángel González Ballester

CoRR, 2022

2019

A Radiomics Approach to Analyze Cardiac Alterations in Hypertension.

Irem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jaeger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin

IEEE Trans. Medical Imaging, 2018

2017

A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI.

Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017