Pulmonology | Radiology Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening. November 29, 2023
Pathology | Radiology Deep learning-based solid component measuring enabled interpretable prediction of tumor invasiveness for lung adenocarcinoma. October 10, 2023
Medical Imaging | Pulmonology | Radiology Multi-site, Multi-domain Airway Tree Modeling. September 16, 2023
Anatomy | Medical Imaging | Radiology RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. September 11, 2023
Oncology | Pulmonology | Radiology Deep learning predicts malignancy and metastasis of solid pulmonary nodules from CT scans. June 5, 2023
Radiology SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention. April 7, 2023
Oncology | Pulmonology | Radiology ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT Series. August 12, 2022
Oncology | Pathology | Radiology GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status. July 21, 2022
Oncology | Pulmonology | Radiology Prediction of future imagery of lung nodule as growth modeling with follow-up computed tomography scans using deep learning: a retrospective cohort study. March 14, 2022
Oncology | Radiology A multi-omics-based serial deep learning approach to predict clinical outcomes of single-agent anti-PD-1/PD-L1 immunotherapy in advanced stage non-small-cell lung cancer. February 17, 2021
Radiology Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet. November 13, 2020
Pathology | Radiology Convolution kernel and iterative reconstruction affect the diagnostic performance of radiomics and deep learning in lung adenocarcinoma pathological subtypes. August 19, 2019