A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas

Yogananda CG, Shah BR, Yu FF, Pinho MC, Nalawade SS, Murugesan GK, Wagner BC, Mickey B, Patel TR, Fei BW, Madhuranthakam AJ. A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas. Neuro-oncology advances. 2020 Jan; 2(1):vdaa066.

A Fully Automated Deep Learning Network for Brain Tumor Segmentation

Yogananda CG, Shah BR, Vejdani-Jahromi M, Nalawade SS, Murugesan GK, Yu FF, Pinho MC, Wagner BC, Emblem KE, Bjørnerud A, Fei BW (Corresponding author). A fully automated deep learning network for brain tumor segmentation. Tomography. 2020 Jun; 6(2):186.

MRI-based deep learning method for determining methylation status of the 06 methylguanne DNA methyltransferase promoter outperforms tissue based methods in brain gliomas

Yogananda CG, Shah BR, Nalawade S, Murugesan GK, Frank FY, Pinho MC, Wagner BC, Mickey B, Patel TR, Fei BW, Madhuranthakam AJ, Maldjian JA. MRI-based deep learning method for determining methylation status of the 06 methylguanne DNA methyltransferase promoter outperforms tissue based methods in brain gliomas. bioRxiv 2020.

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, Maldjian JA. Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: effect of motion and motion correction. bioRxiv 2020.

Development of a new polarized hyperspectral imaging microscope

Zhou X, Ma L, Halicek M, Dormer J, Fei BW (Corresponding author). Development of a new polarized hyperspectral imaging microscope. Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2020; 11213(1121308). 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,

A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases

Ma L, Liu X, Fei BW. A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases. Medical & Biological Engineering & Computing; 2020:1-15.

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.

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,

Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images

Ortega S, Halicek M, Fabelo H, Guerra R, Lopez C, Lejeune M, Godtliebsen F, Callico GM, Fei BW (Corresponding author). Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images. Medical Imaging 2020: Digital Pathology; 11320(113200V). International Society for Optics and Photonics,