Transfer learning in biomedical natural language processing: an evaluation of BERT and ELMo on ten benchmarking datasets
Inspired by the success of the General Language Understanding Evaluation benchmark, we
introduce the Biomedical Language Understanding Evaluation (BLUE) benchmark to …
introduce the Biomedical Language Understanding Evaluation (BLUE) benchmark to …
Deep optics for single-shot high-dynamic-range imaging
High-dynamic-range (HDR) imaging is crucial for many applications. Yet, acquiring HDR
images with a single shot remains a challenging problem. Whereas modern deep learning …
images with a single shot remains a challenging problem. Whereas modern deep learning …
Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
The chest X-ray is one of the most commonly accessible radiological examinations for screening
and diagnosis of many lung diseases. A tremendous number of X-ray imaging studies …
and diagnosis of many lung diseases. A tremendous number of X-ray imaging studies …
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging
In typical cameras the optical system is designed first; once it is fixed, the parameters in the
image processing algorithm are tuned to get good image reproduction. In contrast to this …
image processing algorithm are tuned to get good image reproduction. In contrast to this …
Opportunities and obstacles for deep learning in biology and medicine
Deep learning describes a class of machine learning algorithms that are capable of combining
raw inputs into layers of intermediate features. These algorithms have recently shown …
raw inputs into layers of intermediate features. These algorithms have recently shown …
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
Chest radiography is an extremely powerful imaging modality, allowing for a detailed inspection
of a patient's thorax, but requiring specialized training for proper interpretation. With the …
of a patient's thorax, but requiring specialized training for proper interpretation. With the …
Tienet: Text-image embedding network for common thorax disease classification and reporting in chest x-rays
Chest X-rays are one of the most common radiological examinations in daily clinical routines.
Reporting thorax diseases using chest X-rays is often an entry-level task for radiologist …
Reporting thorax diseases using chest X-rays is often an entry-level task for radiologist …
Neural holography with camera-in-the-loop training
Holographic displays promise unprecedented capabilities for direct-view displays as well as
virtual and augmented reality applications. However, one of the biggest challenges for …
virtual and augmented reality applications. However, one of the biggest challenges for …
Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task
Manually curating chemicals, diseases and their relationships is significantly important to
biomedical research, but it is plagued by its high cost and the rapid growth of the biomedical …
biomedical research, but it is plagued by its high cost and the rapid growth of the biomedical …
Branchformer: Parallel mlp-attention architectures to capture local and global context for speech recognition and understanding
Conformer has proven to be effective in many speech processing tasks. It combines the benefits
of extracting local dependencies using convolutions and global dependencies using self…
of extracting local dependencies using convolutions and global dependencies using self…