Cover Image

A Contrast-Agnostic Method for Ultra-High Resolution Claustrum Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mauri, Chiara, Fritz, Ryan, Mora, Jocelyn, Billot, Benjamin, Iglesias, Juan Eugenio, Van Leemput, Koen, Augustinack, Jean, Greve, Douglas N
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Contrast‐Agnostic Method for Ultra‐High Resolution Claustrum Segmentation
by: Chiara Mauri, et al.
Published: (2025)

Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
by: Hu, Xiaoling, et al.
Published: (2024)

Resolution- and Stimulus-agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies
by: Li, Hongwei Bran, et al.
Published: (2023)

Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation
by: Krishnaswamy, Deepa, et al.
Published: (2025)

Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery
by: Bourcier, Jules, et al.
Published: (2022)

Recon-all-clinical: Cortical surface reconstruction and analysis of heterogeneous clinical brain MRI
by: Gopinath, Karthik, et al.
Published: (2024)

Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels
by: Ciausu, Cosmin, et al.
Published: (2024)

Resource-efficient Automatic Refinement of Segmentations via Weak Supervision from Light Feedback
by: de Langlais, Alix, et al.
Published: (2025)

A Lightweight Generative Model for Interpretable Subject-level Prediction
by: Mauri, Chiara, et al.
Published: (2023)

Modality-Agnostic Brain Lesion Segmentation with Privacy-aware Continual Learning
by: Sadegheih, Yousef, et al.
Published: (2025)

Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation
by: Sadegheih, Yousef, et al.
Published: (2026)

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation
by: Hollet, Nathan, 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)

H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation
by: Rodrigues, Livia, et al.
Published: (2024)

Neurovascular Segmentation in sOCT with Deep Learning and Synthetic Training Data
by: Chollet, Etienne, et al.
Published: (2024)

TV-based Deep 3D Self Super-Resolution for fMRI
by: Pérez-Bueno, Fernando, et al.
Published: (2024)

CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization
by: Salari, Soorena, et al.
Published: (2024)

360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results
by: Telili, Ahmed, et al.
Published: (2024)

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations
by: Wen, Weilei, et al.
Published: (2025)

IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions
by: Kataria, Tushar, et al.
Published: (2025)

Statistical validation of a deep learning algorithm for dental anomaly detection in intraoral radiographs using paired data
by: Van Leemput, Pieter, et al.
Published: (2024)

Supervision by Denoising for Medical Image Segmentation
by: Young, Sean I., et al.
Published: (2022)

Segment-and-Classify: ROI-Guided Generalizable Contrast Phase Classification in CT Using XGBoost
by: Hou, Benjamin, et al.
Published: (2025)

Color Agnostic Cross-Spectral Disparity Estimation
by: Sippel, Frank, et al.
Published: (2023)

URCDM: Ultra-Resolution Image Synthesis in Histopathology
by: Cechnicka, Sarah, et al.
Published: (2024)

Adapting Frozen Mono-modal Backbones for Multi-modal Registration via Contrast-Agnostic Instance Optimization
by: Zhang, Yi, et al.
Published: (2026)

CoPT: Unsupervised Domain Adaptive Segmentation using Domain-Agnostic Text Embeddings
by: Mata, Cristina, et al.
Published: (2025)

Resolution-Agnostic Neural Compression for High-Fidelity Portrait Video Conferencing via Implicit Radiance Fields
by: Li, Yifei, et al.
Published: (2024)

Waveform-Specific Performance of Deep Learning-Based Super-Resolution for Ultrasound Contrast Imaging
by: Zorgdrager, Rienk, et al.
Published: (2025)

UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
by: Mehta, Raghav, et al.
Published: (2025)

Unpaired MRI Super Resolution with Contrastive Learning
by: Li, Hao, et al.
Published: (2023)

CD-TVD: Contrastive Diffusion for 3D Super-Resolution with Scarce High-Resolution Time-Varying Data
by: Bi, Chongke, et al.
Published: (2025)

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data
by: Chalcroft, Liam, et al.
Published: (2024)

3D Skin Segmentation Methods in Medical Imaging: A Comparison
by: Paccini, Martina, et al.
Published: (2025)

Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
by: Aguila, Ana Lawry, et al.
Published: (2025)

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method
by: Scholz, Daniel, et al.
Published: (2025)

SpeHeatal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis
by: Shi, Yi, et al.
Published: (2025)

SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms
by: Chatterjee, Soumick, et al.
Published: (2024)

OMRA: Online Motion Resolution Adaptation to Remedy Domain Shift in Learned Hierarchical B-frame Coding
by: Gao, Zong-Lin, et al.
Published: (2024)

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI
by: Zhong, Xinliu, et al.
Published: (2025)