TorchXRayVision is an open source software library for working with chest X-ray datasets
and deep learning models. It provides a common interface and common pre-processing …

Chest X-rays (CXR) are essential in the diagnosis of lung disease, but CXR image
classification is challenging because patients often have multiple diseases simultaneously …

Effectively representing materials as text has the potential to leverage the vast
advancements of large language models (LLMs) for discovering new materials. While LLMs …

Transfer learning (TL) has been widely utilized to address the lack of training data for deep
learning models. Specifically, one of the most popular uses of TL has been for the pre …

The use of convolutional neural networks (CNNs) has allowed accurate white matter (WM)
tract segmentation on diffusion magnetic resonance imaging (dMRI). To train the CNN …

The transfer learning paradigm of model pre-training and subsequent fine-tuning produces
high-accuracy models. While most studies recommend scaling the pre-training size to …

Multiple pathologic conditions can lead to a diseased and symptomatic glenohumeral joint
for which total shoulder arthroplasty (TSA) replacement may be indicated. The long-term …

A shared goal of several machine learning communities like continual learning, meta-
learning and transfer learning, is to design algorithms and models that efficiently and …

This paper explores the use of chest CT scans for early detection of COVID-19 and improved
patient outcomes. The proposed method employs advanced techniques, including binary …

In recent years, automatic detection of threats in X-ray baggage has become important in
security inspection. However, the training of threat detectors often requires extensive, well …