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Virtual simulation of the postsurgical cosmetic outcome in patients with Pectus Excavatum.

, , , , , , и . Medical Imaging: Image-Guided Procedures, том 7964 из SPIE Proceedings, стр. 79642L. SPIE, (2011)

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Patient-specific outcome simulation after surgical correction of Pectus Excavatum: a preliminary study., , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 109504I. SPIE, (2019)Synthetic infant head shapes with deformational plagiocephaly: concept and 3D model parameterization., , , , , , , , , и . SeGAH, стр. 1-7. IEEE, (2019)Pectus excavatum postsurgical outcome based on preoperative soft body dynamics simulation., , , , , , и . Medical Imaging: Image-Guided Procedures, том 8316 из SPIE Proceedings, стр. 83160K. SPIE, (2012)Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation., , , , , , , , , и . CoRR, (2024)Video Processing Architecture: A Solution for Endoscopic Procedures Results., , , , , , и . ISAmI, том 291 из Advances in Intelligent Systems and Computing, стр. 117-125. Springer, (2014)CycleGAN-Based Image to Image Translation for Realistic Surgical Training Phantoms., , , , , , , и . EMBC, стр. 1-4. IEEE, (2023)Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery., , , , , , и . EMBC, стр. 3502-3505. IEEE, (2022)Virtual simulation of the postsurgical cosmetic outcome in patients with Pectus Excavatum., , , , , , и . Medical Imaging: Image-Guided Procedures, том 7964 из SPIE Proceedings, стр. 79642L. SPIE, (2011)A deep learning method for kidney segmentation in 2D ultrasound images., , , , , , , , , и . EMBC, стр. 3911-3914. IEEE, (2022)A laparoscopic surgery training interface., , , , , и . SeGAH, стр. 1-7. IEEE Computer Society, (2011)