1. J-Modl: joint model-based deep learning for optimized sampling and reconstruction;Aggarwal;IEEE J. Sel. Top. Signal Process,2020
2. MoDL: model-based deep learning architecture for inverse problems;Aggarwal;IEEE Trans. Med. Imaging,2019
3. Combined deep learning-based super-resolution and partial Fourier reconstruction for gradient Echo sequences in abdominal MRI at 3 tesla: shortening breath-hold time and improving image sharpness and lesion conspicuity;Almansour;Acad. Radiol.,2022
4. Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer;Anderson,2019
5. A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets;Antropova;Med. Phys.,2017