main concepts scientists sections

William J. Richardson

1 articles · 1 co-authors · latest: 2026-01-31
10 citations · h-index 2 · 7 papersData: Semantic Scholar
Hasi Hays

We have retold 1 papers by this author. most often about: deep learning in medical imaging, Recurrent Neural Networks, neural networks. 1 co-authors across our retellings.

deep learning in medical imaging · generalization · Generative Adversarial Networks · generative model · genetic algorithm · gpu · graph neural network · medical image analysis · medical image to genomic mapping · neural network memory architecture · pattern recognition · random network · reconstruction · Recurrent Neural Networks · Reinforcement Learning · xgboost · neural networks · brain cancer detection · computer vision · Convolutional Neural Networks
Links in the knowledge graph
q-bio.MN2026-01-311 minarXiv:2602.00586express
Teaching a Neural Network to Read Textbooks
Proteins in a cell communicate like people in a bustling city: some pass signals, others put on the brakes, and still others just hang around. A graph neural network sees the map of these connections, who's linked to whom, but to it, they're just lines.
Hasi Hays·William J. Richardson
Karl JanskyAlbert EinsteinFritz Zwickydeep learning in medical imagingRecurrent Neural Networksneural networksbrain cancer detectioncomputer vision
SimplePopularAdvanced