I am interested in applying deep learning techniques to medical imaging and radiation oncology fields.
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Virginia Commonwealth University
- Richmond, Virginia
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00:56
(UTC -05:00) - https://scholar.google.com/citations?user=86hed34AAAAJ&hl=en&oi=ao
- @AlexFIOsman
- in/alexander-f-i-osman-45b73536
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attention-aware-3D-UNet-for-RT-dose-prediction
attention-aware-3D-UNet-for-RT-dose-prediction PublicEvaluate the feasibility of attention-gated 3D U-Net for knowledge-based planning dose prediction of head-and-neck radiotherapy.
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deep-learning-KBP-methods-for-rt-dose-prediction
deep-learning-KBP-methods-for-rt-dose-prediction PublicCompare various deep learning-based knowledge-based planning methods for 3D dose distribution prediction of the head and neck plans.
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dense-dilated-residual-convolutions-for-contrast-enhanced-MRI-synthesis
dense-dilated-residual-convolutions-for-contrast-enhanced-MRI-synthesis PublicDeep learning-based convolutional neural network for contrast-enhanced MR image synthesis
Python 6
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UNet-for-MR-to-MR-image-translation
UNet-for-MR-to-MR-image-translation PublicDevelop a deep learning-based model for accurate image-to-image translation across MRI sequences for the brain region.
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deep-learning-based-bone-age-estimation
deep-learning-based-bone-age-estimation PublicDevelop a deep learning-based model utilizing a fully connected convolutional neural network (CNN) to predict bone age from left-hand radiographs.
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