| Pneumonia Detection in Chest X-Rays using Neural Networks | Apr 7, 2022 | Image AugmentationMedical Diagnosis | —Unverified | 0 |
| A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction | Apr 4, 2022 | Image SegmentationPneumonia Detection | —Unverified | 0 |
| Image quality assessment for machine learning tasks using meta-reinforcement learning | Mar 27, 2022 | BIG-bench Machine Learningimage-classification | CodeCode Available | 0 |
| 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 |
