Photoplethysmogram analysis and applications: an integrative review
Beyond its use in a clinical environment, photoplethysmogram (PPG) is increasingly used for
measuring the physiological state of an individual in daily life. This review aims to examine …
measuring the physiological state of an individual in daily life. This review aims to examine …
[HTML][HTML] A review of deep learning-based detection methods for COVID-19
COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …
Neural fields in visual computing and beyond
Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …
computing problems using methods that employ coordinate‐based neural networks. These …
AI-synthesized faces are indistinguishable from real faces and more trustworthy
SJ Nightingale, H Farid - Proceedings of the National …, 2022 - National Acad Sciences
Artificial intelligence (AI)–synthesized text, audio, image, and video are being weaponized
for the purposes of nonconsensual intimate imagery, financial fraud, and disinformation …
for the purposes of nonconsensual intimate imagery, financial fraud, and disinformation …
Advances in neural rendering
Synthesizing photo‐realistic images and videos is at the heart of computer graphics and has
been the focus of decades of research. Traditionally, synthetic images of a scene are …
been the focus of decades of research. Traditionally, synthetic images of a scene are …
Learning object-compositional neural radiance field for editable scene rendering
Implicit neural rendering techniques have shown promising results for novel view synthesis.
However, existing methods usually encode the entire scene as a whole, which is generally …
However, existing methods usually encode the entire scene as a whole, which is generally …
Automated detection of COVID-19 cases using deep neural networks with X-ray images
Abstract The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of
China in December 2019, spread rapidly around the world and became a pandemic. It has …
China in December 2019, spread rapidly around the world and became a pandemic. It has …
DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis
Here, we present DeepBIO, the first-of-its-kind automated and interpretable deep-learning
platform for high-throughput biological sequence functional analysis. DeepBIO is a one-stop …
platform for high-throughput biological sequence functional analysis. DeepBIO is a one-stop …
Prevalence of neural collapse during the terminal phase of deep learning training
Modern practice for training classification deepnets involves a terminal phase of training
(TPT), which begins at the epoch where training error first vanishes. During TPT, the training …
(TPT), which begins at the epoch where training error first vanishes. During TPT, the training …
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning
The COVID-19 pandemic is causing a major outbreak in more than 150 countries around the
world, having a severe impact on the health and life of many people globally. One of the …
world, having a severe impact on the health and life of many people globally. One of the …