Deep learning-based deformable registration of dynamic contrast enhanced MR images of the kidney

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Huang J, Guo J, Pedrosa I, Fei B. Deep learning-based deformable registration of dynamic contrast enhanced MR images of the kidney. In Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling 2022 Apr 4 (Vol. 12034, pp. 213-222). SPIE.

CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum

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Dormer JD, Villordon M, Shahedi M, Do QN, Xi Y, Lewis MA, Madhuranthakam AJ, Herrera CL, Spong CY, Twickler DM, Fei B. CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. In Medical Imaging 2022: Image Processing 2022 Apr 4 (Vol. 12032, pp. 156-164). SPIE.

Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging

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Ma L, Little JV, Chen AY, Myers L, Sumer BD, Fei B. Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging. Journal of Biomedical Optics. 2022 Apr;27(4):046501.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation-Analysis of Ranking Scores and Benchmarking Results

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Mehta R, Filos A, Baid U, Sako C, McKinley R, Rebsamen M, Dätwyler K, Meier R, Radojewski P, Murugesan GK, Nalawade S, Fei B. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation-Analysis of Ranking Scores and Benchmarking Results. Journal of Machine Learning for Biomedical Imaging. 2022;1.

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

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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.

5 – Simultaneous brain tumor segmentation and molecular profiling using deep learning and T2w magnetic resonance images

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Yogananda CGB, Shah BR, Yu FF, Nalawade SS, Holcomb J, Reddy D, Wagner BC, Pinho MC, Mickey B, Patel TR, Fei B, Madhuranthakam AJ, Maldjian JA. 5 – Simultaneous brain tumor segmentation and molecular profiling using deep learning and T2w magnetic resonance images, Brain Tumor MRI Image Segmentation Using Deep Learning Techniques,
Academic Press, 2022, Pages 57-79.

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

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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.

Deep learning-based segmentation of the placenta and uterus on MR images

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Shahedi M, Spong CY, Dormer JD, Do QN, Xi Y, Lewis MA, Herrera C, Madhuranthakam AJ, Twickler DM, Fei B. Deep learning-based segmentation of the placenta and uterus on MR images. Journal of Medical Imaging. 2021 Sep;8(5):054001.

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

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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

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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.