The effect of image annotation with minimal manual interaction for semiautomatic prostate segmentation in CT images using fully convolutional neural networks

Shahedi M, Dormer JD, Halicek M, Fei B. The effect of image annotation with minimal manual interaction for semiautomatic prostate segmentation in CT images using fully convolutional neural networks. Medical physics. 2022 Feb;49(2):1153-60.

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

Nalawade SS, Fang FY, Yogananda CG, Murugesan GK, Shah BR, Pinho MC, Wagner BC, Xi Y, Mickey B, Patel TR, Fei B. Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction. Journal of Medical Imaging. 2022 Jan;9(1):016001.

Ct image harmonization for enhancing radiomics studies

Selim M, Zhang J, Fei B, Zhang GQ, Chen J. Ct image harmonization for enhancing radiomics studies. In2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2021 Dec 9 (pp. 1057-1062). IEEE.

Cross-Vendor CT Image Data Harmonization Using CVH-CT

Selim M, Zhang J, Fei B, Zhang GQ, Ge GY, Chen J. Cross-Vendor CT Image Data Harmonization Using CVH-CT. arXiv preprint arXiv:2110.09693. 2021 Oct 19.

Special Series Guest Editorial: Artificial Intelligence and Machine Learning in Biomedical Optics

Shabestri B, Anastasio MA, Fei B, Leblond F. Special Series Guest Editorial: Artificial Intelligence and Machine Learning in Biomedical Optics. Journal of biomedical optics. 2021 May;26(5).

MRI-based deep-learning method for determining glioma MGMT promoter methylation status. American Journal of Neuroradiology

Yogananda CG, Shah BR, Nalawade SS, Murugesan GK, Yu FF, Pinho MC, Wagner BC, Mickey B, Patel TR, Fei B, Madhuranthakam AJ. MRI-based deep-learning method for determining glioma MGMT promoter methylation status. American Journal of Neuroradiology. 2021 May 1;42(5):845-52.

SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment

Petrick N, Akbar S, Cha KH, Nofech-Mozes S, Sahiner B, Gavrielides MA, Kalpathy-Cramer J, Drukker K, Martel AL, Fei B, BreastPathQ Challenge Group FT. SPIE-AAPM-NCI BreastPathQ Challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment. Journal of Medical Imaging. 2021 May 1;8(3):034501-.

GPU-based simulation of echocardiography volumes using quantitative fiber-angle-to-backscatter measurements

Yociss M, Fei B. GPU-based simulation of echocardiography volumes using quantitative fiber-angle-to-backscatter measurements. In Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series 2021 Feb (Vol. 11602, p. 116020U).

Computer-aided classification of lung nodules on CT images with expert knowledge

Wan C, Ma L, Liu X, Fei B. Computer-aided classification of lung nodules on CT images with expert knowledge. In Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling 2021 Feb 15 (Vol. 11598, p. 115982K). International Society for Optics and Photonics.

Multiparametric radiomics for predicting the aggressiveness of papillary thyroid carcinoma using hyperspectral images

Edwards K, Halicek M, Little JV, Chen AY, Fei B. Multiparametric radiomics for predicting the aggressiveness of papillary thyroid carcinoma using hyperspectral images. In Medical Imaging 2021: Computer-Aided Diagnosis 2021 Feb 15 (Vol. 11597, p. 1159728). International Society for Optics and Photonics.