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). - Yin Xi; Maysam Shahedi; Quyen N. Do; James D. Dormer; Matthew A. Lewis; Baowei Fei; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler (Computer-Aided Diagnosis, 2021)

Automatic segmentation of uterine cavity and placenta on MR images using deep learning. - Maysam Shahedi; James D. Dormer; Quyen N. Do; Yin Xi; Matthew A. Lewis; Christina L. Herrera; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler; Baowei Fei (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features. - Ka'Toria N. Leitch; Maysam Shahedi; James D. Dormer; Quyen N. Do; Yin Xi; Matthew A. Lewis; Christina L. Herrera; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler; Baowei Fei (Computer-Aided Diagnosis, 2022)

CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. - James D. Dormer; Michael Villordon; Maysam Shahedi; Ka'Toria N. Leitch; Quyen N. Do; Yin Xi; Matthew A. Lewis; Ananth J. Madhuranthakam; Christina L. Herrera; Catherine Y. Spong; Diane M. Twickler; Baowei Fei (Image Processing, 2022)

Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images. - James Huang; Quyen N. Do; Maysam Shahedi; Yin Xi; Matthew A. Lewis; Christina L. Herrera; David Owen; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler; Baowei Fei (Computer-Aided Diagnosis, 2023)

Topography-based feature extraction of the human placenta from prenatal MR images. - James Huang; Maysam Shahedi; Quyen N. Do; Yin Xi; Matthew A. Lewis; Christina L. Herrera; David Owen; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler; Baowei Fei (Image Processing, 2023)