Radiology MRI Manufacturer Shift and Adaptation: Increasing the Generalizability of Deep Learning Segmentation for MR Images Acquired with Different Scanners. May 3, 2021
Neurology | Oncology | Radiology MIL normalization — prerequisites for accurate MRI radiomics analysis. May 1, 2021
Neurology | Radiology Detecting the Early Infarct Core on Non-Contrast CT Images with a Deep Learning Residual Network. March 30, 2021
Hepatology | Oncology | Radiology Deep learning radiomics model accurately predicts hepatocellular carcinoma occurrence in chronic hepatitis B patients: a five-year follow-up. February 12, 2021
Gastroenterology | Internal Medicine | Pathology | Radiology Quantitative evaluation of liver fibrosis based on ultrasound radio frequency signals: An animal experimental study. December 19, 2020
Medical Imaging | Radiology Image Quality Enhancement Using a Deep Neural Network for Plane Wave Medical Ultrasound Imaging. September 11, 2020
Orthopedics | Radiology A review on segmentation of knee articular cartilage: from conventional methods towards deep learning. June 28, 2020
Oncology | Radiology Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer. March 7, 2020
Radiology Post-processing radio-frequency signal based on deep learning method for ultrasonic microbubble imaging. September 17, 2019
Neurology | Radiology DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution. September 4, 2019
Cardiology | Radiology Cine MRI analysis by deep learning of optical flow: Adding the temporal dimension. July 23, 2019
Neurology | Oncology | Pathology Microvascularity detection and quantification in glioma: a novel deep-learning-based framework. June 15, 2019