Generative 3D Cardiac Shape Modelling for In-Silico Trials
Fuente:
arXiv
Saved in:
| Main Authors: | Gasparovici, Andrei, Serban, Alex |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cardiac-CLIP: A Vision-Language Foundation Model for 3D Cardiac CT Images
by: Hu, Yutao, et al.
Published: (2025)
by: Hu, Yutao, et al.
Published: (2025)
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI
by: Bubeck, Niklas, et al.
Published: (2025)
by: Bubeck, Niklas, et al.
Published: (2025)
Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk Assessment
by: Khan, Danial, et al.
Published: (2025)
by: Khan, Danial, et al.
Published: (2025)
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions
by: Park, Sanguk, et al.
Published: (2021)
by: Park, Sanguk, et al.
Published: (2021)
Shape of my heart: Cardiac models through learned signed distance functions
by: Verhülsdonk, Jan, et al.
Published: (2023)
by: Verhülsdonk, Jan, et al.
Published: (2023)
Evaluation of Anatomical Shape Priors in Deep Learning-Based Cardiac Multi-Compartment Segmentation
by: Hudler, Michael, et al.
Published: (2026)
by: Hudler, Michael, et al.
Published: (2026)
Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI with Explicit Cardiac Motion Modeling
by: Lyu, Yilin, et al.
Published: (2025)
by: Lyu, Yilin, et al.
Published: (2025)
Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods
by: Verhülsdonk, Jan, et al.
Published: (2026)
by: Verhülsdonk, Jan, et al.
Published: (2026)
On the Foundation Model for Cardiac MRI Reconstruction
by: Zhang, Chi, et al.
Published: (2024)
by: Zhang, Chi, et al.
Published: (2024)
3D Spine Shape Estimation from Single 2D DXA
by: Bourigault, Emmanuelle, et al.
Published: (2024)
by: Bourigault, Emmanuelle, et al.
Published: (2024)
Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling
by: Corona-Figueroa, Abril, et al.
Published: (2024)
by: Corona-Figueroa, Abril, et al.
Published: (2024)
Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction
by: Jianu, Tudor, et al.
Published: (2024)
by: Jianu, Tudor, et al.
Published: (2024)
Shape Completion in the Dark: Completing Vertebrae Morphology from 3D Ultrasound
by: Gafencu, Miruna-Alexandra, et al.
Published: (2024)
by: Gafencu, Miruna-Alexandra, et al.
Published: (2024)
Deep Generative Models for 3D Medical Image Synthesis
by: Friedrich, Paul, et al.
Published: (2024)
by: Friedrich, Paul, et al.
Published: (2024)
Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers
by: Liu, Kuan, et al.
Published: (2025)
by: Liu, Kuan, et al.
Published: (2025)
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos
by: Yang, Jiewen, et al.
Published: (2024)
by: Yang, Jiewen, et al.
Published: (2024)
Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRI
by: Qiu, Shihan, et al.
Published: (2024)
by: Qiu, Shihan, et al.
Published: (2024)
Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction
by: Bubeck, Niklas, et al.
Published: (2025)
by: Bubeck, Niklas, et al.
Published: (2025)
GaussianSeal: Rooting Adaptive Watermarks for 3D Gaussian Generation Model
by: Li, Runyi, et al.
Published: (2025)
by: Li, Runyi, et al.
Published: (2025)
DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI
by: Prokopenko, Denis, et al.
Published: (2024)
by: Prokopenko, Denis, et al.
Published: (2024)
Personalized 4D Whole Heart Geometry Reconstruction from Cine MRI for Cardiac Digital Twins
by: Liu, Xiaoyue, et al.
Published: (2025)
by: Liu, Xiaoyue, et al.
Published: (2025)
3D MedDiffusion: A 3D Medical Latent Diffusion Model for Controllable and High-quality Medical Image Generation
by: Wang, Haoshen, et al.
Published: (2024)
by: Wang, Haoshen, et al.
Published: (2024)
Double-Shot 3D Shape Measurement with a Dual-Branch Network for Structured Light Projection Profilometry
by: Lei, Mingyang, et al.
Published: (2024)
by: Lei, Mingyang, et al.
Published: (2024)
Shape-Preserving Generation of Food Images for Automatic Dietary Assessment
by: Chen, Guangzong, et al.
Published: (2024)
by: Chen, Guangzong, et al.
Published: (2024)
SurgPointTransformer: Vertebrae Shape Completion with RGB-D Data
by: Massalimova, Aidana, et al.
Published: (2024)
by: Massalimova, Aidana, et al.
Published: (2024)
Generative Enhancement for 3D Medical Images
by: Zhu, Lingting, et al.
Published: (2024)
by: Zhu, Lingting, et al.
Published: (2024)
Improving the U-Net Configuration for Automated Delineation of Head and Neck Cancer on MRI
by: Iantsen, Andrei
Published: (2025)
by: Iantsen, Andrei
Published: (2025)
Compositional Segmentation of Cardiac Images Leveraging Metadata
by: Khan, Abbas, et al.
Published: (2024)
by: Khan, Abbas, et al.
Published: (2024)
SpineMamba: Enhancing 3D Spinal Segmentation in Clinical Imaging through Residual Visual Mamba Layers and Shape Priors
by: Zhang, Zhiqing, et al.
Published: (2024)
by: Zhang, Zhiqing, et al.
Published: (2024)
Generalized Event Cameras
by: Sundar, Varun, et al.
Published: (2024)
by: Sundar, Varun, et al.
Published: (2024)
Evaluation of 3D Counterfactual Brain MRI Generation
by: Sun, Pengwei, et al.
Published: (2025)
by: Sun, Pengwei, et al.
Published: (2025)
Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation
by: Qin, Yiming, et al.
Published: (2025)
by: Qin, Yiming, et al.
Published: (2025)
Semantic Diffusion Posterior Sampling for Cardiac Ultrasound Dehazing
by: Stevens, Tristan S. W., et al.
Published: (2025)
by: Stevens, Tristan S. W., et al.
Published: (2025)
Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction
by: Huang, Wenqi, et al.
Published: (2026)
by: Huang, Wenqi, et al.
Published: (2026)
Leveraging a Statistical Shape Model for Efficient Generation of Annotated Training Data: A Case Study on Liver Landmarks Segmentation
by: Krnjaca, Denis, et al.
Published: (2026)
by: Krnjaca, Denis, et al.
Published: (2026)
Neuroverse3D: Developing In-Context Learning Universal Model for Neuroimaging in 3D
by: Hu, Jiesi, et al.
Published: (2025)
by: Hu, Jiesi, et al.
Published: (2025)
ShapeKit
by: Liu, Junqi, et al.
Published: (2025)
by: Liu, Junqi, et al.
Published: (2025)
MBSS-T1: Model-Based Subject-Specific Self-Supervised Motion Correction for Robust Cardiac T1 Mapping
by: Hanania, Eyal, et al.
Published: (2024)
by: Hanania, Eyal, et al.
Published: (2024)
Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction
by: Zhao, Yidong, et al.
Published: (2024)
by: Zhao, Yidong, et al.
Published: (2024)
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach
by: Hashmi, Anam, et al.
Published: (2024)
by: Hashmi, Anam, et al.
Published: (2024)
Similar Items
-
Cardiac-CLIP: A Vision-Language Foundation Model for 3D Cardiac CT Images
by: Hu, Yutao, et al.
Published: (2025) -
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI
by: Bubeck, Niklas, et al.
Published: (2025) -
Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk Assessment
by: Khan, Danial, et al.
Published: (2025) -
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions
by: Park, Sanguk, et al.
Published: (2021) -
Shape of my heart: Cardiac models through learned signed distance functions
by: Verhülsdonk, Jan, et al.
Published: (2023)