1. ACDC Challenges [WWW Document], 2020. URL 〈https://acdc.creatis.insa-lyon.fr/#challenge/5846c3366a3c7735e84b67ec〉 (accessed 7.20.20).
2. Fine-tuning U-Net for ultrasound image segmentation: different layers, different outcomes;Amiri;IEEE Trans. Ultrason., Ferroelectr., Freq. Control,2020
3. Ammari, A., Mahmoudi, R., Hmida, B., Saouli, R., Bedoui, M.H., 2020b. A review of approaches investigated for right ventricular segmentation using short-axis cardiac MRI. IET Image Processing n/a. 〈https://doi.org/10.1049/ipr2.12165〉.
4. Accuracy assessment of a deep-learning based segmentation tool over right ventricle short-axis slices;Ammari,2020
5. Clinical-guided strategy towards a spatio-temporal cardiac MRI right ventricular short-axis (ST-CMRI-RVSA) labeled dataset;Ammari;SN Comput. Sci.,2022