Imagen de Portada

Multi-modal data generation with a deep metric variational autoencoder

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sundgaard, Josefine Vilsbøll, Hannemose, Morten Rieger, Laugesen, Søren, Bray, Peter, Harte, James, Kamide, Yosuke, Tanaka, Chiemi, Paulsen, Rasmus R., Christensen, Anders Nymark
Formato:	Preprint
Publicado:	2022
Materias:	Image and Video Processing Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Multi‐modal deep learning for joint prediction of otitis media and diagnostic difficulty
por: Josefine Vilsbøll Sundgaard, et al.
Publicado: (2024)

Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation
por: Guo, Changlu, et al.
Publicado: (2025)

MaskDiME: Adaptive Masked Diffusion for Precise and Efficient Visual Counterfactual Explanations
por: Guo, Changlu, et al.
Publicado: (2026)

SA-UNetv2: Rethinking Spatial Attention U-Net for Retinal Vessel Segmentation
por: Guo, Changlu, et al.
Publicado: (2025)

Diffusion Based Ambiguous Image Segmentation
por: Christensen, Jakob Lønborg, et al.
Publicado: (2025)

Towards Agnostic and Holistic Universal Image Segmentation with Bit Diffusion
por: Christensen, Jakob Lønborg, et al.
Publicado: (2026)

Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency
por: Ingwersen, Christian Keilstrup, et al.
Publicado: (2023)

Rethinking Uncertainty Quantification and Entanglement in Image Segmentation
por: Christensen, Jakob Lønborg, et al.
Publicado: (2026)

Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
por: Storås, Andrea M., et al.
Publicado: (2024)

MMLANDMARKS: a Cross-View Instance-Level Benchmark for Geo-Spatial Understanding
por: Kristoffersen, Oskar, et al.
Publicado: (2025)

Accelerating the Discovery of High‐Conductivity Glass Electrolytes via Machine Learning
por: Rasmus Christensen, et al.
Publicado: (2026)

Fast Sphericity and Roundness approximation in 2D and 3D using Local Thickness
por: Pieta, Pawel Tomasz, et al.
Publicado: (2025)

Learning to Build Shapes by Extrusion
por: Christiansen, Thor Vestergaard, et al.
Publicado: (2026)

Solving deep-learning density functional theory via variational autoencoders
por: Costa, Emanuele, et al.
Publicado: (2024)

Predicting anatomical variations in radiotherapy with a vector quantized variational autoencoder generative model
por: Yue Zou, et al.
Publicado: (2025)

CAVACHON: a hierarchical variational autoencoder to integrate multi-modal single-cell data
por: Hsieh, Ping-Han, et al.
Publicado: (2024)

Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D
por: Pieta, Pawel Tomasz, et al.
Publicado: (2024)

Shortcut Learning in Medical Image Segmentation
por: Lin, Manxi, et al.
Publicado: (2024)

An attempt to generate new bridge types from latent space of variational autoencoder
por: Zhang, Hongjun
Publicado: (2023)

Unified Gentzen Approach to Connexive Logics over Wansing's C
por: Kamide, Norihiro
Publicado: (2024)

Twist Sequent Calculi for S4 and its Neighbors
por: Kamide, Norihiro
Publicado: (2024)

Harnessing network power: Weaponised interdependence in global tax policy
por: Rasmus Corlin Christensen
Publicado: (2024)

Globalizing the Library
por: Laugesen, Amanda
Publicado: (2025)

Finding "Another Great World": Australian Soldiers and Wartime Libraries
por: Laugesen, Amanda
Publicado: (2006)

Explainable fetal ultrasound quality assessment with progressive concept bottleneck models
por: Lin, Manxi, et al.
Publicado: (2022)

Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders
por: Kumar, Sayantan, et al.
Publicado: (2023)

Efficient integration of perceptual variational autoencoder into dynamic latent scale generative adversarial network
por: Jeongik Cho, et al.
Publicado: (2024)

Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment
por: Pegios, Paraskevas, et al.
Publicado: (2024)

Drivetrain simulation using variational autoencoders
por: Sharma, Pallavi, et al.
Publicado: (2025)

Improvements on uncertainty quantification with variational autoencoders
por: Tonini, Andrea, et al.
Publicado: (2025)

Matching aggregate posteriors in the variational autoencoder
por: Saha, Surojit, et al.
Publicado: (2023)

Determining Fetal Orientations From Blind Sweep Ultrasound Video
por: Wiśniewski, Jakub Maciej, et al.
Publicado: (2025)

Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder
por: Akhtar, Sheikh Waqas
Publicado: (2024)

Changes in Skin Barrier Function in Neonates: Daily Variation and Impact of Bathing
por: Fumi Tanaka, et al.
Publicado: (2024)

Inverse problem regularization with hierarchical variational autoencoders
por: Prost, Jean, et al.
Publicado: (2023)

Complex variational autoencoders admit Kähler structure
por: Gracyk, Andrew
Publicado: (2025)

Testing of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound
por: Wong, Chun Kit, et al.
Publicado: (2024)

Targeting the partition function of chemically disordered materials with a generative approach based on inverse variational autoencoders
por: Karcz, Maciej J., et al.
Publicado: (2024)

Global atmospheric data assimilation with multi-modal masked autoencoders
por: Vandal, Thomas J., et al.
Publicado: (2024)

Effects of GLP‐1 Receptor Agonists in Alcohol Use Disorder
por: Mette Kruse Klausen, et al.
Publicado: (2025)