Cover Image

rNCA: Self-Repairing Segmentation Masks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Silbernagel, Malte, Alonso, Albert, Petersen, Jens, Ibragimov, Bulat, de Bruijne, Marleen, Wyburd, Madeleine K.
Format:	Preprint
Published:	2025
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

Extremal Contours: Gradient-driven contours for compact visual attribution
by: Karimzadeh, Reza, et al.
Published: (2025)

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans
by: Ørting, Silas Nyboe, et al.
Published: (2025)

RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans
by: Eid, Mark C., et al.
Published: (2024)

MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
by: Mittal, Avni, et al.
Published: (2025)

Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
by: Shi, Hairong, et al.
Published: (2024)

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images
by: Ramesh, Jayroop, et al.
Published: (2025)

Tissue-Contrastive Semi-Masked Autoencoders for Segmentation Pretraining on Chest CT
by: Zheng, Jie, et al.
Published: (2024)

Asymmetric Mask Scheme for Self-Supervised Real Image Denoising
by: Liao, Xiangyu, et al.
Published: (2024)

Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning
by: Rukundo, Olivier
Published: (2023)

Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation
by: Ding, Yuexing, et al.
Published: (2024)

MamT$^4$: Multi-view Attention Networks for Mammography Cancer Classification
by: Ibragimov, Alisher, et al.
Published: (2024)

Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders
by: Wodzinski, Marek, et al.
Published: (2024)

SIDME: Self-supervised Image Demoiréing via Masked Encoder-Decoder Reconstruction
by: Wang, Xia, et al.
Published: (2025)

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
by: Zhu, Wenhui, et al.
Published: (2024)

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus
by: Bhattacharya, Debayan, et al.
Published: (2024)

HemoSet: The First Blood Segmentation Dataset for Automation of Hemostasis Management
by: Miao, Albert J., et al.
Published: (2024)

Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
by: Das, Badhan Kumar, et al.
Published: (2025)

Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces
by: Yang, Hao-Chun, et al.
Published: (2024)

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
by: Maksudov, Bulat, et al.
Published: (2025)

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising
by: Park, Junyoung, et al.
Published: (2026)

Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
by: Jaus, Alexander, et al.
Published: (2024)

TUN3D: Towards Real-World Scene Understanding from Unposed Images
by: Konushin, Anton, et al.
Published: (2025)

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

SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network
by: Nie, Ziming, et al.
Published: (2025)

Comparative Analysis of GAN and Diffusion for MRI-to-CT translation
by: Honey, Emily, et al.
Published: (2025)

Towards Patient-Specific Surgical Planning for Bicuspid Aortic Valve Repair: Fully Automated Segmentation of the Aortic Valve in 4D CT
by: Guo, Zaiyang, et al.
Published: (2025)

MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation
by: Cheng, Anzhe, et al.
Published: (2025)

Combining Self-attention and Dilation Convolutional for Semantic Segmentation of Coal Maceral Groups
by: Xi, Zhenghao, et al.
Published: (2025)

A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation
by: Najafian, Keyhan, et al.
Published: (2024)

Policy Gradient-Driven Noise Mask
by: Yavuz, Mehmet Can, et al.
Published: (2024)

Masked strategies for images with small objects
by: Gillis, H. Martin, et al.
Published: (2025)

Hierarchical Loss And Geometric Mask Refinement For Multilabel Ribs Segmentation
by: Leonov, Aleksei, et al.
Published: (2024)

IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
by: Liang, Ziyun, et al.
Published: (2024)

VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification
by: Liu, Zelong, et al.
Published: (2024)

MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation
by: Xu, Jing
Published: (2023)

3D Segmentation of Neuronal Nuclei and Cell-Type Identification using Multi-channel Information
by: LaTorre, Antonio, et al.
Published: (2024)

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2023)

A Self-training Framework for Semi-supervised Pulmonary Vessel Segmentation and Its Application in COPD
by: Zhao, Shuiqing, et al.
Published: (2025)

CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers
by: Ranne, Alex, et al.
Published: (2024)

AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
by: Zhu, Guanghao, et al.
Published: (2024)