REFERENCES
1. Ito T. Minimally invasive mitral valve surgery through right mini-thoracotomy: recommendations for good exposure, stable cardiopulmonary bypass, and secure myocardial protection. Gen Thorac Cardiovasc Surg. 2015;63:371-8.
2. Jung Y, van Kuijk SMJ, Gietema H, Maessen JG, Sardari Nia P. Prediction of poor exposure in endoscopic mitral valve surgery using computed tomography. Eur J Cardiothorac Surg. 2024;65:ezae070.
3. Litjens G, Ciompi F, Wolterink JM, et al. State-of-the-art deep learning in cardiovascular image analysis. JACC Cardiovasc Imaging. 2019;12:1549-65.
4. Wasserthal J, Breit HC, Meyer MT, et al. Totalsegmentator: robust segmentation of 104 anatomic structures in CT images. Radiol Artif Intell. 2023;5:e230024.
5. Isensee F, Jaeger PF, Kohl SAA, Petersen J, Maier-Hein KH. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat Methods. 2021;18:203-11.
6. Fedorov A, Beichel R, Kalpathy-Cramer J, et al. 3D Slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging. 2012;30:1323-41.
7. Finnegan RN, Chin V, Chlap P, et al. Open-source, fully-automated hybrid cardiac substructure segmentation: development and optimisation. Phys Eng Sci Med. 2023;46:377-93.
8. Oktay O, Schlemper J, Folgoc LL, et al. Attention u-net: learning where to look for the pancreas. J Digit Imaging. 2018. Available from: https://www.semanticscholar.org/paper/Attention-U-Net%3A-Learning-Where-to-Look-for-the-Oktay-Schlemper/ae1c89817a3a239e5344293138bdd80293983460. [Last accessed on 23 Mar 2025].
9. Tao Q, Yan W, Wang Y, et al. Deep learning-based method for fully automatic quantification of left ventricle function from cine MR images: a multivendor, multicenter study. Radiology. 2019;290:81-8.
10. Heuts S, Maessen JG, Sardari Nia P. Preoperative planning of left-sided valve surgery with 3D computed tomography reconstruction models: sternotomy or a minimally invasive approach? Interact Cardiovasc Thorac Surg. 2016;22:587-93.
11. Miles TJ, Ghanta RK. Machine learning in cardiac surgery: a narrative review. J Thorac Dis. 2024;16:2644-53.
12. Di Perna D, Castro M, Gasc Y, Haigron P, Verhoye JP, Anselmi A. Patient-specific access planning in minimally invasive mitral valve surgery. Med Hypotheses. 2020;136:109475.
