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Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images., , , , , , , , , и 1 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum., , , , , , , , , и 2 other автор(ы). Medical Imaging: Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS)., , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11597 из SPIE Proceedings, SPIE, (2021)UDA-CT: A General Framework for CT Image Standardization., , , , , и . BIBM, стр. 1698-1701. IEEE, (2022)Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features., , , , , , , , , и 1 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Topography-based feature extraction of the human placenta from prenatal MR images., , , , , , , , , и 1 other автор(ы). Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)Segmentation of uterus and placenta in MR images using a fully convolutional neural network., , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)Automatic segmentation of uterine cavity and placenta on MR images using deep learning., , , , , , , , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 12036 из SPIE Proceedings, SPIE, (2022)