Hyperspectral imaging for the detection of glioblastoma tumor cells in H&E slides using convolutional neural networks

Ortega S, Halicek M, Fabelo H, Camacho R, Plaza MD, Godtliebsen F, M Callicó G, Fei BW (Corresponding author). Hyperspectral imaging for the detection of glioblastoma tumor cells in H&E slides using convolutional neural networks. Sensors; 20(7):1911.

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

Nalawade S, Fang FY, Yogananda CG, Murugesan GK, Shah BR, Pinho MC, Wagner BC, Mickey B, Patel TR, Fei BW, Madhuranthakam AJ. 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

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

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

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

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

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

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

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

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,