Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics
Sign Up to like & getrecommendations! Published in 2024 at "Medical Physics"
DOI: 10.1002/mp.17473
Abstract: The findings of the 2023 AAPM Grand Challenge on Deep Generative Modeling for Learning Medical Image Statistics are reported in this Special Report. read more here.
Keywords: grand challenge; aapm grand; modeling learning; generative modeling ... See more keywords
Solving Bayesian inverse problems from the perspective of deep generative networks
Sign Up to like & getrecommendations! Published in 2019 at "Computational Mechanics"
DOI: 10.1007/s00466-019-01739-7
Abstract: Deep generative networks have achieved great success in high dimensional density approximation, especially for applications in natural images and language. In this paper, we investigate their approximation capability in capturing the posterior distribution in Bayesian… read more here.
Keywords: bayesian inverse; deep generative; inverse problems; solving bayesian ... See more keywords
DeepFaceReshaping: Interactive deep face reshaping via landmark manipulation
Sign Up to like & getrecommendations! Published in 2024 at "Computational Visual Media"
DOI: 10.1007/s41095-023-0373-1
Abstract: Deep generative models allow the synthesis of realistic human faces from freehand sketches or semantic maps. However, although they are flexible, sketches and semantic maps provide too much freedom for manipulation, and thus, are not… read more here.
Keywords: face reshaping; deepfacereshaping interactive; face; landmark ... See more keywords
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
Sign Up to like & getrecommendations! Published in 2022 at "Applied Energy"
DOI: 10.1016/j.apenergy.2021.117871
Abstract: Greater direct electrification of end-use sectors with a higher share of renewables is one of the pillars to power a carbon-neutral society by 2050. However, in contrast to conventional power plants, renewable energy is subject… read more here.
Keywords: power systems; energy; energy forecasting; normalizing flows ... See more keywords
Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models
Sign Up to like & getrecommendations! Published in 2019 at "Engineering"
DOI: 10.1016/j.eng.2019.03.010
Abstract: Abstract Brain encoding and decoding via functional magnetic resonance imaging (fMRI) are two important aspects of visual perception neuroscience. Although previous researchers have made significant advances in brain encoding and decoding models, existing methods still… read more here.
Keywords: encoding decoding; brain encoding; deep generative; generative models ... See more keywords
Realistic generation of diffusion-weighted magnetic resonance brain images with deep generative models.
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2021.06.001
Abstract: We study two state of the art deep generative networks, the Introspective Variational Autoencoder and the Style-Based Generative Adversarial Network, for the generation of new diffusion-weighted magnetic resonance images. We show that high quality, diverse… read more here.
Keywords: weighted magnetic; magnetic resonance; diffusion weighted; generative models ... See more keywords
History matching geological facies models based on ensemble smoother and deep generative models
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2019.02.037
Abstract: Abstract The current research trend in history matching is to consider more realistic reservoir models with complex geology. Hence, it is important to be able to update facies models during the solution. Although Kalman filter-based… read more here.
Keywords: facies models; history matching; deep generative; geological facies ... See more keywords
Advances and Challenges in De Novo Drug Design Using Three-Dimensional Deep Generative Models
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c00042
Abstract: A persistent goal for de novo drug design is to generate novel chemical compounds with desirable properties in a labor-, time-, and cost-efficient manner. Deep generative models provide alternative routes to this goal. Numerous model… read more here.
Keywords: generative models; drug design; novo drug; deep generative ... See more keywords
Deep Generative Models for 3D Linker Design
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Chemical Information and Modeling"
DOI: 10.1021/acs.jcim.9b01120
Abstract: Rational compound design remains a challenging problem for both computational methods and medicinal chemists. Computational generative methods have begun to show promising results for the design problem. However, they have not yet used the power… read more here.
Keywords: linker design; information; design; generative models ... See more keywords
Target-Focused Library Design by Pocket-Applied Computer Vision and Fragment Deep Generative Linking.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of medicinal chemistry"
DOI: 10.1021/acs.jmedchem.2c00931
Abstract: We here describe a computational approach (POEM: Pocket Oriented Elaboration of Molecules) to drive the generation of target-focused libraries while taking advantage of all publicly available structural information on protein-ligand complexes. A collection of 31 384… read more here.
Keywords: target focused; pocket; computer vision; deep generative ... See more keywords
Modeling the Temperature-Dependent Size Change of Polydisperse Nano-objects using a Deep Generative Model.
Sign Up to like & getrecommendations! Published in 2024 at "Nano letters"
DOI: 10.1021/acs.nanolett.4c00267
Abstract: Modern microscopy techniques can be used to investigate soft nano-objects at the nanometer scale. However, time-consuming microscopy measurements combined with low numbers of observable polydisperse objects often limit the statistics. We propose a method for… read more here.
Keywords: temperature; generative model; nano objects; deep generative ... See more keywords