Author of the publication

Topography-based feature extraction of the human placenta from prenatal MR images.

, , , , , , , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Automatic segmentation of uterine cavity and placenta on MR images using deep learning., , , , , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)Segmentation of uterus and placenta in MR images using a fully convolutional neural network., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images., , , , , , , , , and 1 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum., , , , , , , , , and 2 other author(s). Medical Imaging: Image Processing, volume 12032 of 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)., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Topography-based feature extraction of the human placenta from prenatal MR images., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features., , , , , , , , , and 1 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)