Ultrasound segmentation of rat hearts using convolutional neural networks

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.

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

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.

PSNet: prostate segmentation on MRI based on a convolutional neural network

Tian Z, Liu L, Zhang Z, Fei BW (Corresponding author). PSNet: prostate segmentation on MRI based on a convolutional neural network. Journal of Medical Imaging;5(2):021208.

The role of fluciclovine (18F) PET/CT directed, 3D ultrasound-guided fusion targeted biopsy in the detection of biochemically recurrent prostate cancer

Abiodun-Ojo OA, Fei BW Nieh PT, Master VA, Akintayo A, Tade F, Akin-Akintayo O, Alemozaffar M, Osunkoya AO, Goodman MM, Schuster DM. The role of fluciclovine (18F) PET/CT directed, 3D ultrasound-guided fusion targeted biopsy in the detection of biochemically recurrent prostate cancer. Journal of Nuclear Medicine;59(s1):1481.

Deep convolutional neural network for prostate MR segmentation

Tian Z, Liu L, Fei BW. Deep convolutional neural network for prostate MR segmentation. International Journal of Computer Assisted Radiology and Surgery;13(11):1687.

Cardiac Fiber Imaging with 3D Ultrasound and MR Diffusion Tensor Imaging

Qin X, Fei BW. “Cardiac Fiber Imaging with 3D Ultrasound and MR Diffusion Tensor Imaging.” In Cardiovascular Imaging: An Engineering and Clinical Perspective, edited by Ayman El-Baz. Boca Raton, FL: CRC Press, Taylor & Francis Group,

A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics

Shahedi M, Ma L, Halicek M, Guo R, Zhang G, Schuster DM, Nieh P, Master VA, Fei BW (Corresponding author). A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics. Proceedings of SPIE: The Internation Society for Optical Engineering;10576.

SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling (Proceedings of SPIE)

Fei BW, Webster RJ. “SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling (Proceedings of SPIE). SPIE Press,

A semiautomatic segmentation method for the prostate in magnetic resonance images using local texture classification and statistical shape modeling

Shahedi M, Halicek M, Liu L, Zhang Z, Schuster DM, Fei BW (Corresponding author). A semiautomatic segmentation method for the prostate in magnetic resonance images using local texture classification and statistical shape modeling. The Annual Meeting of the Biomedical Engineering Society.

Multimodality Imaging (MRI, PET, and Ultrasound) and Fusion Targeted Biopsy of the Prostate

Fei BW. “Multimodality Imaging (MRI, PET, and Ultrasound) and Fusion Targeted Biopsy of the Prostate.” In Encyclopedia of Medical Robotics: Image-guided Surgical Procedures and Interventions, edited by Jaydev P. Desai. Hackensack, NJ: World Scientific Publishing Co.,