Bioinformatics | Computational Biology | Genomics Self-supervised deep learning of gene-gene interactions for improved gene expression recovery. February 13, 2024
Oncology | Radiology | Urology MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images. January 11, 2024
Medical Imaging | Radiation Oncology Patient-specific Auto-segmentation on Daily kVCT Images for Adaptive Radiotherapy. May 4, 2023
Dermatology | Ophthalmology | Radiology Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. April 5, 2023
Oncology | Radiology Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. February 18, 2021
Radiology | Trauma Surgery Added value of deep learning-based liver parenchymal CT volumetry for predicting major arterial injury after blunt hepatic trauma: a decision tree analysis. January 20, 2021
Radiology A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation. December 17, 2020
Radiology | Trauma Surgery Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision support. February 28, 2020
Radiology | Trauma Surgery Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT. June 7, 2019