A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme | Scientific Reports
Towards reconstructing intelligible speech from the human auditory cortex | Scientific Reports
CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction | Request PDF
Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks | Nature Communications
Deep convolutional neural networks for accurate somatic mutation detection | Nature Communications
PCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients | Scientific Reports
DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture | Scientific Reports
Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning | Scientific Reports
A generalizable and accessible approach to machine learning with global satellite imagery | Nature Communications
Structure-based protein function prediction using graph convolutional networks | Nature Communications
Multimodal deep learning models for early detection of Alzheimer's disease stage | Scientific Reports
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans | Nature Machine Intelligence
Classification and Visualization of Alzheimer's Disease using Volumetric Convolutional Neural Network and Transfer Learning | Scientific Reports
Using human brain activity to guide machine learning | Scientific Reports
A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction | Scientific Reports
Towards data-driven next-generation transmission electron microscopy | Nature Materials
Sequence-to-function deep learning frameworks for engineered riboregulators | Nature Communications
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
Annotation-free learning of plankton for classification and anomaly detection | Scientific Reports
Data-analysis strategies for image-based cell profiling | Nature Methods
A meta-learning approach for genomic survival analysis | Nature Communications
Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks | Scientific Reports
Dimensionality reduction to maximize prediction generalization capability | Nature Machine Intelligence
