| Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls | Feb 1, 2022 | BIG-bench Machine LearningData Augmentation | —Unverified | 0 |
| Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection | Jan 25, 2022 | ClassificationDiagnostic | —Unverified | 0 |
| Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation | Jan 10, 2022 | Pneumonia Detection | —Unverified | 0 |
| COVID-19 Pneumonia and Influenza Pneumonia Detection Using Convolutional Neural Networks | Dec 14, 2021 | DiagnosticPneumonia Detection | CodeCode Available | 0 |
| CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images | Oct 20, 2021 | DecoderDiagnostic | —Unverified | 0 |
| The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays | Sep 14, 2021 | Pneumonia Detection | CodeCode Available | 0 |
| How Transferable Are Self-supervised Features in Medical Image Classification Tasks? | Aug 23, 2021 | Classificationimage-classification | —Unverified | 0 |
| A Radiomics-Boosted Deep-Learning Model for COVID-19 and Non-COVID-19 Pneumonia Classification Using Chest X-ray Image | Jul 19, 2021 | Pneumonia DetectionSpecificity | —Unverified | 0 |
| Evaluating the Robustness of Self-Supervised Learning in Medical Imaging | May 14, 2021 | Organ SegmentationPneumonia Detection | —Unverified | 0 |
| Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations | Feb 25, 2021 | Image AugmentationPneumonia Detection | —Unverified | 0 |
