Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points

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Shi T, Shahedi M, Caughlin K, Dormer JD, Ma L, Fei B. Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points. In Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling 2022 Apr 4 (Vol. 12034, pp. 424-430). SPIE.

Development of a polarized hyperspectral microscope for cardiac fiber orientation imaging

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Zhou X, Dormer JD, Fei BW. Development of a polarized hyperspectral microscope for cardiac fiber orientation imaging. Diagnostic and Therapeutic Applications of Light in Cardiology 2020; 11215(112150V). International Society for Optics and Photonics,

Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net

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Tran CT, Halicek M, Dormer JD, Tandon A, Hussain T, Fei BW (Corresponding author). Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net. Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging; 11317(113171M). International Society for Optics and Photonics,

Image guided mitral valve replacement: registration of 3D ultrasound and 2D x-ray images

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Dormer J, Bhuiyan M, Rahman N, Deaton N, Sheng J, Padala M, Desai J, Fei BW (Corresponding author). Image guided mitral valve replacement: registration of 3D ultrasound and 2D x-ray images. Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling; 11315(113150Z). International Society for Optics and Photonics,

Using convolutional neural networks to identify patients at risk for cardiovascular disease using 3D patches radiomic analysis for cardiovascular disease prediciton using wavelet features

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Dormer J, Reilly CM, Schreibmann E, Fei BW (Corresponding author). Using convolutional neural networks to identify patients at risk for cardiovascular disease using 3D patches radiomic analysis for cardiovascular disease prediciton using wavelet features. The Annual Meeting of the Biomedical Engineering Society.

Ultrasound segmentation of rat hearts using convolutional neural networks

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Dormer JD, Guo R, Shen M, Jiang R, Wagner MB, Fei BW (Corresponding author). Ultrasound segmentation of rat hearts using convolutional neural networks. Proceedings of SPIE: The International Society for Optical Engineering;10580.