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X-ray source motion blur modeling and deblurring with generative diffusion for digital breast tomosynthesis
Free accessIOP Institute of Physics | 2024| -
Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach
Free accessIOP Institute of Physics | 2023| -
Deep CNN task-based image quality assessment: application to digital breast tomosynthesis reconstruction and denoising
British Library Conference Proceedings | 2023| -
Segmentation of mouse tibia on MRI using deep learning U-Net models
British Library Conference Proceedings | 2023| -
Bladder cancer segmentation using U-Net-based deep-learning
British Library Conference Proceedings | 2023| -
Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics
British Library Conference Proceedings | 2023| -
Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning
British Library Conference Proceedings | 2023| -
Deep convolutional neural network regularized digital breast tomosynthesis reconstruction with detector blur and correlated noise modeling
British Library Conference Proceedings | 2022| -
Fusion of multiple deep convolutional neural networks (DCNNs) for improved segmentation of lung nodules in CT images
British Library Conference Proceedings | 2022|
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