Computer Science | Radiology Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple Centers. August 5, 2020
Radiology CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels. June 29, 2020
Radiology Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning. April 30, 2020
Radiology Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings. November 21, 2019
Radiology Deep Learning Algorithm for Reducing CT Slice Thickness: Effect on Reproducibility of Radiomic Features in Lung Cancer. September 23, 2019
Pulmonology | Radiology Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks. August 9, 2019
Radiology Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses. June 18, 2019
Pulmonology | Radiology Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets. June 1, 2019
Pulmonology | Radiology Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net. April 9, 2019
Radiology Application of deep learning-based computer-aided detection system: detecting pneumothorax on chest radiograph after biopsy. March 27, 2019
Radiology Deep Learning Applications in Chest Radiography and Computed Tomography: Current State of the Art. February 25, 2019
Deep Learning | Medical Imaging | Radiology A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT Images. December 17, 2018