Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: effect of motion and motion correction

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Nalawade S, Fang FY, Yogananda CG, Murugesan GK, Shah BR, Pinho MC, Wagner BC, Mickey B, Patel TR, Fei BW, Madhuranthakam AJ, Maldjian JA. Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: effect of motion and motion correction. bioRxiv 2020.

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,

In vivo cancer detection in animal model using hyperspectral image classification with wavelet feature extraction

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Ma L, Halicek M, Fei BW. In vivo cancer detection in animal model using hyperspectral image classification with wavelet feature extraction. Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging; 11317(113171C). International Society for Optics and Photonics,

Abdominal muscle segmentation from CT using a convolutional neural network

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Edwards K, Chhabra A, Dormer J, Jones P, Boutin RD, Lenchik L, Fei BW (Corresponding author). Abdominal muscle segmentation from CT using a convolutional neural network. Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging; 11317(113170L). International Society for Optics and Photonics,

Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning

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Halicek M, Dormer JD, Little JV, Chen AY, Fei BW (Corresponding author). Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning. Biomedical Optics Express; 11(3):1383-400.

A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas

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Bangalore Yogananda CG, Shah BR, Vejdani-Jahromi M, Nalawade SS, Murugesan GK, Yu FF, Pinho MC, Wagner BC, Mickey B, Patel TR, Fei BW (Corresponding author). A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas. Neuro-oncology; 22(3):402-11.

Incorporating minimal user input into deep learning based image segmentation

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Shahedi M, Halicek M, Dormer JD, Fei BW (Corresponding author). Incorporating minimal user input into deep learning based image segmentation. Medical Imaging 2020: Image Processing; 11313(1131313). International Society for Optics and Photonics,

Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images

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Mavuduru A, Halicek M, Shahedi M, Little JV, Chen AY, Myers LL, Fei BW (Corresponding author). Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images. Medical Imaging 2020: Digital Pathology; 11320(113200C). International Society for Optics and Photonics,

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

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Shahedi M, Dormer JD, TT AD, Do QN, Xi Y, Lewis MA, Madhuranthakam AJ, Twickler DM, Fei BW (Corresponding author). Segmentation of uterus and placenta in MR images using a fully convolutional neural network. Medical Imaging 2020: Computer-Aided Diagnosis; 11314(113141R). International Society for Optics and Photonics,

Siamese neural networks for the classification of high-dimensional radiomic features

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Mahajan A, Dormer J, Li Q, Chen D, Zhang Z, Fei BW (Corresponding author). Siamese neural networks for the classification of high-dimensional radiomic features. Medical Imaging 2020: Computer-Aided Diagnosis; 11314(113143Q). International Society for Optics and Photonics,