Crossref

1. Accelerated 3D high-resolution T2-weighted breast MRI with deep learning constrained compressed sensing, comparison with conventional T2-weighted sequence on 3.0 T

- Fan Yang

- Xuelin Pan

- Ke Zhu

- Yitian Xiao

- Xun Yue

- Pengfei Peng

- Xiaoyong Zhang

- Juan Huang

- Jie Chen

- Yuan Yuan

- Jiayu Sun

2. Introducing a parametric function on relaxation times in magnetic resonance imaging

- Mansour Ashoor

- Abdollah Khorshidi

3. MRI texture features from tumor core and margin in the prediction of response to neoadjuvant chemotherapy in patients with locally advanced breast cancer

- Christopher Kolios

- Lakshmanan Sannachi

- Archya Dasgupta

- Harini Suraweera

- Daniel DiCenzo

- Gregory Stanisz

- Arjun Sahgal

- Frances Wright

- Nicole Look-Hong

- Belinda Curpen

- Ali Sadeghi-Naini

- Maureen Trudeau

- Sonal Gandhi

- Michael C. Kolios

- Gregory J. Czarnota

4. Utility of synthetic MRI in predicting the Ki-67 status of oestrogen receptor-positive breast cancer: a feasibility study

- M. Matsuda

- T. Kido

- T. Tsuda

- K. Okada

- Y. Shiraishi

- H. Suekuni

- Y. Kamei

- R. Kitazawa

- T. Mochizuki

5. Improving signal-to-noise ratio by maximal convolution of longitudinal and transverse magnetization components in MRI: application to the breast cancer detection

- Mansour Ashoor

- Abdollah Khorshidi