Overall survival analysis of esophageal squamous cell carcinoma using MRI-based radiomics features

Predicting Selective Inversion Recovery Myelin Images from Routine Clinical Images and a Simple Linear Model

Prediction of Drug Treatment Outcome among Epilepsy Children with Tuberous Sclerosis Complex based on Deep Neural Network and Multi-contrast MRI

Prostate Cancer Risk Assessment using Fully Automatic Deep Learning in MRI: Integration with Clinical Data using Logistic Regression Models

Rapid 3D Quantitative Mapping of Brain Metastases with Deep Learning-Based Phase-Sensitive MR fingerprinting

Real-time Reconstruction for Accelerated MR Thermometry Using CRNN in MRgLITT Treatment

Retrospective Pharmacokinetic Quantification of Clinical Abdominal DCE-MRI using Deep Learning

Robust Diffusion-Weighted Imaging with Deep Learning-Based DW PROPELLER Reconstruction

Self-supervised Liver T1rhoMapping with Physics-constrained Regularization

Synthetic T2-weighted fat sat delivers valuable information on spine pathologies: multicenter validation of a Generative Adversarial Network

Synthetic-to-real domain adaptation with deep learning for fitting IVIM-DWI parameters

T2 Mapping of the Prostate with a Convolutional Neural Network

Toward Universal Tumor Segmentation on Diffusion-Weighted MRI: Transfer Learning from Cervical Cancer to All Uterine Malignancies

Towards a personalized MRgFUS treatment for tremor disorders: A study on the number of ablations using deep learning and structural connectivity

Towards Clinical Translation of Machine Learning-based Automated Prescription of Spine MRI Acquisitions

Triplanar Ensemble Detection Network (TPE-Det): A Single End-to-End Model for Efficient Detection of Cerebral Microbleeds in MR Images

Uncertainty estimation via ensembling for deep learning-based MR image reconstruction

Uncertainty-Aware Physics-Driven Deep Learning Network for Fat and R2* Quantification in Self-Gated Free-Breathing Stack-of-Radial MRI

Understanding Alzheimer's disease through fMRI and deep learning

Unsupervised correction network for Nyquist ghost artifact and geometry distortion in echo planar imaging

An unsupervised deep learning method for affine registration of multi-contrast brain MR images

Use delta-radiomics based on T2-TSE-BLADE MRI images to predict histopathological tumor regression grade in Locally Advanced Esophageal Cancer

Using the Artificial Intelligence Based Compressed SENSE Technology in Acute Cerebral Infarction

ViT-PU-Net: Volumetric Phase Unwrapping for MR images based on Vision Transformer

XCloud-HyperLRF: Fast Hypercomplex NMR Spectroscopy with Cloud-based Low Rank Hankel Matrix Reconstruction