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Improving the robustness of interventional 4D ultrasound segmentation through the use of personalized prior shape models., , , , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94133H. SPIE, (2015)Kidney Segmentation in Ultrasound, Magnetic Resonance and Computed Tomography Images: A Systematic Review., , , , , and . Comput. Methods Programs Biomed., (2018)Personalized dynamic phantom of the right and left ventricles based on patient-specific anatomy for echocardiography studies - Preliminary results., , , , , , , and . SeGAH, page 1-7. IEEE, (2018)Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol., , , , , , and . EMBC, page 1178-1181. IEEE, (2020)A laparoscopic surgery training interface., , , , , and . SeGAH, page 1-7. IEEE Computer Society, (2011)Kidney segmentation in 3D CT images using B-Spline Explicit Active Surfaces., , , , , , , and . SeGAH, page 1-7. IEEE Computer Society, (2016)A Novel Interventional Guidance Framework for Transseptal Puncture in Left Atrial Interventions., , , , , and . POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, volume 11042 of Lecture Notes in Computer Science, page 93-101. Springer, (2018)Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape prior., , , , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491F. SPIE, (2019)Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation., , , , , , , , , and . CoRR, (2024)Fast left ventricle tracking in CMR images using localized anatomical affine optical flow., , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 941306. SPIE, (2015)