Dr. Diane M. Twickler Profile

Dr. Diane M. Twickler

at Univ of Texas Southwestern Medical Ctr at Dallas

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Author

Publications (8)

Proceedings Article | 7 April 2023 Presentation + Paper

Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images

James Huang, Quyen Do, Maysam Shahedi, Yin Xi, Matthew Lewis, Christina Herrera, David Owen, Catherine Spong, Ananth Madhuranthakam, Diane Twickler, Baowei Fei

Proceedings Volume 12465, 124650N (2023) https://doi.org/10.1117/12.2653659

KEYWORDS: Image segmentation, Magnetic resonance imaging, 3D image processing, Data modeling, Performance modeling, Neural networks, Uterus, Fetus

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Proceedings Article | 3 April 2023 Poster + Paper

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

James Huang, Maysam Shahedi, Quyen Do, Yin Xi, Matthew Lewis, Christina Herrera, David Owen, Catherine Spong, Ananth Madhuranthakam, Diane Twickler, Baowei Fei

Proceedings Volume 12464, 1246420 (2023) https://doi.org/10.1117/12.2653663

KEYWORDS: Magnetic resonance imaging, Fetus, Feature extraction, Interpolation, Image registration, Deformation, Uterus

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Proceedings Article | 4 April 2022 Presentation + Paper

CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum

James Dormer, Michael Villordon, Maysam Shahedi, Ka'Toria Leitch, Quyen Do, Yin Xi, Matthew Lewis, Ananth Madhuranthakam, Christina Herrera, Catherine Spong, Diane Twickler, Baowei Fei

Proceedings Volume 12032, 120320N (2022) https://doi.org/10.1117/12.2611580

KEYWORDS: 3D magnetic resonance imaging, Magnetic resonance imaging, Fetus, Convolution, Network architectures, Feature extraction, Data modeling, Uterus, Convolutional neural networks, Image classification

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Proceedings Article | 4 April 2022 Presentation + Paper

Automatic segmentation of uterine cavity and placenta on MR images using deep learning

Maysam Shahedi, James Dormer, Quyen Do, Yin Xi, Matthew Lewis, Christina Herrera, Catherine Spong, Ananth Madhuranthakam, Diane Twickler, Baowei Fei

Proceedings Volume 12036, 1203611 (2022) https://doi.org/10.1117/12.2613286

KEYWORDS: Image segmentation, Magnetic resonance imaging, 3D image processing, Uterus, 3D modeling, Image processing algorithms and systems, Fetus, Feature extraction, Convolutional neural networks, Image processing

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features

Ka'Toria Leitch, Maysam Shahedi, James Dormer, Quyen Do, Yin Xi, Matthew Lewis, Christina Herrera, Catherine Spong, Ananth Madhuranthakam, Diane Twickler, Baowei Fei

Proceedings Volume 12033, 120331I (2022) https://doi.org/10.1117/12.2611587

KEYWORDS: Magnetic resonance imaging, Uterus, Feature selection, Image segmentation, Feature extraction, Machine learning, Ultrasonography, Radiology, Image filtering

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SPIE Journal Paper | 25 September 2021

Deep learning-based segmentation of the placenta and uterus on MR images

Maysam Shahedi, Catherine Spong, James Dormer, Quyen Do, Yin Xi, Matthew Lewis, Christina Herrera, Ananth Madhuranthakam, Diane Twickler, Baowei Fei

JMI, Vol. 8, Issue 05, 054001, (September 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.5.054001

KEYWORDS: Image segmentation, Magnetic resonance imaging, Uterus, 3D image processing, 3D modeling, Data modeling, Solids, Image processing algorithms and systems, Fetus, Convolutional neural networks

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

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 Do, James Dormer, Matthew Lewis, Baowei Fei, Catherine Spong, Ananth Madhuranthakam, Diane Twickler

Proceedings Volume 11597, 115972P (2021) https://doi.org/10.1117/12.2581467

KEYWORDS: Magnetism, Image segmentation, Diagnostics, Uterus, Receivers, Magnetic resonance imaging

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Proceedings Article | 16 March 2020 Presentation + Paper

Segmentation of uterus and placenta in MR images using a fully convolutional neural network

Maysam Shahedi, James Dormer, Anusha Devi T. T. , Quyen Do, Yin Xi, Matthew Lewis, Ananth Madhuranthakam, Diane Twickler, Baowei Fei

Proceedings Volume 11314, 113141R (2020) https://doi.org/10.1117/12.2549873

KEYWORDS: Image segmentation, Magnetic resonance imaging, Uterus, 3D image processing, Convolutional neural networks, Fetus, 3D modeling, Image processing algorithms and systems

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Showing 5 of 8 publications

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