Applied Sciences | Free Full-Text | Disentangled Autoencoder for Cross-Stain Feature Extraction in Pathology Image Analysis | HTML
Frontiers | Generative Models of Brain Dynamics
Generative Models - Autoencoders · Deep Learning
Reconstructing feedback representations in ventral visual pathway with a generative adversarial autoencoder | bioRxiv
De Novo Molecule Design Using Molecular Generative Models Constrained by Ligand–Protein Interactions | Journal of Chemical Information and Modeling
Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models - ScienceDirect
Generative Models - Autoencoders · Deep Learning
Autoencoder - Wikipedia
J. Imaging | Free Full-Text | Variational Autoencoder for Image-Based Augmentation of Eye-Tracking Data | HTML
J. Imaging | Free Full-Text | Generative Adversarial Networks in Brain Imaging: A Narrative Review | HTML
Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models
Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex. - Abstract - Europe PMC
1 — First Step to Generative Deep Learning with Autoencoders | by Kıvanç Yüksel | Medium
Molecular Generative Model Based on an Adversarially Regularized Autoencoder | Journal of Chemical Information and Modeling
Chapter 2. Intro to generative modeling with autoencoders - GANs in Action: Deep learning with Generative Adversarial Networks
Enhancing scientific discoveries in molecular biology with deep generative models | Molecular Systems Biology
Improving Diffusion Models as an Alternative To GANs, Part 2 | NVIDIA Technical Blog
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders | PLOS Computational Biology
Generative models and abstractions for large-scale neuroanatomy datasets
Frontiers | The Generative Adversarial Brain
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility
Structure of the normative model based on adversarial autoencoders. In... | Download Scientific Diagram
Generative models for network neuroscience: prospects and promise | Journal of The Royal Society Interface
Generative models and abstractions for large-scale neuroanatomy datasets
