Learning to Upscale 3D Segmentations in Neuroimaging
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Xiaoling, Liu, Peirong, Zemlyanker, Dina, Ramirez, Jonathan Williams, Puonti, Oula, Iglesias, Juan Eugenio |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
by: Hu, Xiaoling, et al.
Published: (2024)
by: Hu, Xiaoling, et al.
Published: (2024)
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
by: Liu, Peirong, et al.
Published: (2023)
by: Liu, Peirong, et al.
Published: (2023)
Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
by: Aguila, Ana Lawry, et al.
Published: (2025)
by: Aguila, Ana Lawry, et al.
Published: (2025)
Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation
by: Hu, Xiaoling, et al.
Published: (2024)
by: Hu, Xiaoling, et al.
Published: (2024)
Registration by Regression (RbR): a framework for interpretable and flexible atlas registration
by: Gopinath, Karthik, et al.
Published: (2024)
by: Gopinath, Karthik, et al.
Published: (2024)
Deep generative priors for 3D brain analysis
by: Aguila, Ana Lawry, et al.
Published: (2025)
by: Aguila, Ana Lawry, et al.
Published: (2025)
PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
by: Liu, Peirong, et al.
Published: (2024)
by: Liu, Peirong, et al.
Published: (2024)
A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging
by: Liu, Peirong, et al.
Published: (2025)
by: Liu, Peirong, et al.
Published: (2025)
P-Count: Persistence-based Counting of White Matter Hyperintensities in Brain MRI
by: Hu, Xiaoling, et al.
Published: (2024)
by: Hu, Xiaoling, et al.
Published: (2024)
Reference-Free 3D Reconstruction of Brain Dissection Slabs via Learned Atlas Coordinates
by: Tian, Lin, et al.
Published: (2025)
by: Tian, Lin, et al.
Published: (2025)
Uncertainty Estimation for Pretrained Medical Image Registration Models via Transformation Equivariance
by: Tian, Lin, et al.
Published: (2025)
by: Tian, Lin, et al.
Published: (2025)
Recon-all-clinical: Cortical surface reconstruction and analysis of heterogeneous clinical brain MRI
by: Gopinath, Karthik, et al.
Published: (2024)
by: Gopinath, Karthik, et al.
Published: (2024)
From Low Field to High Value: Robust Cortical Mapping from Low-Field MRI
by: Gopinath, Karthik, et al.
Published: (2025)
by: Gopinath, Karthik, et al.
Published: (2025)
Generating healthy counterfactuals with denoising diffusion bridge models
by: Aguila, Ana Lawry, et al.
Published: (2025)
by: Aguila, Ana Lawry, et al.
Published: (2025)
Automated Segmentation of Coronal Brain Tissue Slabs for 3D Neuropathology
by: Ramirez, Jonathan Williams, et al.
Published: (2025)
by: Ramirez, Jonathan Williams, et al.
Published: (2025)
High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models
by: Rodrigues, Livia, et al.
Published: (2024)
by: Rodrigues, Livia, et al.
Published: (2024)
H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation
by: Rodrigues, Livia, et al.
Published: (2024)
by: Rodrigues, Livia, et al.
Published: (2024)
A Lightweight Generative Model for Interpretable Subject-level Prediction
by: Mauri, Chiara, et al.
Published: (2023)
by: Mauri, Chiara, et al.
Published: (2023)
End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images
by: Nielsen, Jesper Duemose, et al.
Published: (2025)
by: Nielsen, Jesper Duemose, et al.
Published: (2025)
MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages
by: Xu, Hao, et al.
Published: (2025)
by: Xu, Hao, et al.
Published: (2025)
Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization
by: Liu, Peirong, et al.
Published: (2025)
by: Liu, Peirong, et al.
Published: (2025)
Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach
by: Zhang, Peirong, et al.
Published: (2024)
by: Zhang, Peirong, et al.
Published: (2024)
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)
Learning Topological Representations for Deep Image Understanding
by: Hu, Xiaoling
Published: (2024)
by: Hu, Xiaoling
Published: (2024)
BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation
by: Cox, Joseph, et al.
Published: (2024)
by: Cox, Joseph, et al.
Published: (2024)
Deep Learning-Based Direct Leaf Area Estimation using Two RGBD Datasets for Model Development
by: Jayasuriya, Namal, et al.
Published: (2025)
by: Jayasuriya, Namal, et al.
Published: (2025)
Lightweight Gradient-Aware Upscaling of 3D Gaussian Splatting Images
by: Niedermayr, Simon, et al.
Published: (2025)
by: Niedermayr, Simon, et al.
Published: (2025)
Creatively Upscaling Images with Global-Regional Priors
by: Qian, Yurui, et al.
Published: (2025)
by: Qian, Yurui, et al.
Published: (2025)
USB: Unified Synthetic Brain Framework for Bidirectional Pathology-Healthy Generation and Editing
by: Wang, Jun, et al.
Published: (2025)
by: Wang, Jun, et al.
Published: (2025)
MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
by: Xu, Meilong, et al.
Published: (2025)
by: Xu, Meilong, et al.
Published: (2025)
Bézier Meets Diffusion: Robust Generation Across Domains for Medical Image Segmentation
by: Li, Chen, et al.
Published: (2025)
by: Li, Chen, et al.
Published: (2025)
Deep Learning for Semantic Segmentation of 3D Ultrasound Data
by: Liu, Chenyu, et al.
Published: (2026)
by: Liu, Chenyu, et al.
Published: (2026)
Capturing More: Learning Multi-Domain Representations for Robust Online Handwriting Verification
by: Zhang, Peirong, et al.
Published: (2025)
by: Zhang, Peirong, et al.
Published: (2025)
Deep Learning Based 3D Segmentation: A Survey
by: He, Yong, et al.
Published: (2021)
by: He, Yong, et al.
Published: (2021)
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI
by: Laso, Pablo, et al.
Published: (2023)
by: Laso, Pablo, et al.
Published: (2023)
Detail Loss in Super-Resolution Models Based on the Laplacian Pyramid and Repeated Upscaling and Downscaling Process
by: Han, Sangjun, et al.
Published: (2026)
by: Han, Sangjun, et al.
Published: (2026)
Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning
by: Hu, Xinrong, et al.
Published: (2024)
by: Hu, Xinrong, et al.
Published: (2024)
Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation
by: Yang, An, et al.
Published: (2025)
by: Yang, An, et al.
Published: (2025)
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
by: Thengane, Vishal, et al.
Published: (2025)
by: Thengane, Vishal, et al.
Published: (2025)
PARTFIELD: Learning 3D Feature Fields for Part Segmentation and Beyond
by: Liu, Minghua, et al.
Published: (2025)
by: Liu, Minghua, et al.
Published: (2025)
Similar Items
-
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
by: Hu, Xiaoling, et al.
Published: (2024) -
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
by: Liu, Peirong, et al.
Published: (2023) -
Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
by: Aguila, Ana Lawry, et al.
Published: (2025) -
Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation
by: Hu, Xiaoling, et al.
Published: (2024) -
Registration by Regression (RbR): a framework for interpretable and flexible atlas registration
by: Gopinath, Karthik, et al.
Published: (2024)