:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Kebaili, Aghiles, Lapuyade-Lahorgue, Jérôme, Vera, Pierre, Ruan, Su
Formato:	Preprint
Publicado:	2024
Materias:	Image and Video Processing Computer Vision and Pattern Recognition
Acceso en línea:	https://arxiv.org/abs/2406.11659
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes
por: Kebaili, Aghiles, et al.
Publicado: (2024)

Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
por: Kebaili, Aghiles, et al.
Publicado: (2023)

End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks
por: Kebaili, Aghiles, et al.
Publicado: (2023)

AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation
por: Kebaili, Aghiles, et al.
Publicado: (2025)

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression
por: Kebaili, Aghiles, et al.
Publicado: (2025)

Understanding What Is Not Said:Referring Remote Sensing Image Segmentation with Scarce Expressions
por: Ye, Kai, et al.
Publicado: (2025)

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

Learned Image Transmission with Hierarchical Variational Autoencoder
por: Zhang, Guangyi, et al.
Publicado: (2024)

Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
por: Zhang, Li, et al.
Publicado: (2024)

Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data
por: García-Ordás, María Teresa, et al.
Publicado: (2024)

Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation
por: Peng, Linkai, et al.
Publicado: (2024)

Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation
por: Huang, Ling, et al.
Publicado: (2023)

Variational Autoencoder for Anomaly Detection: A Comparative Study
por: Nguyen, Huy Hoang, et al.
Publicado: (2024)

Short-Time Fourier Transform for deblurring Variational Autoencoders
por: Dalal, Vibhu
Publicado: (2024)

Wavelet-based Variational Autoencoders for High-Resolution Image Generation
por: Kiruluta, Andrew
Publicado: (2025)

Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images
por: Aslam, Muhammad Azeem, et al.
Publicado: (2025)

Segment Anything Model for Brain Tumor Segmentation
por: Zhang, Peng, et al.
Publicado: (2023)

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

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
por: Li, Hongwei Bran, et al.
Publicado: (2023)

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

VM-UNet: Vision Mamba UNet for Medical Image Segmentation
por: Ruan, Jiacheng, et al.
Publicado: (2024)

An Ensemble Approach for Brain Tumor Segmentation and Synthesis
por: Rivera, Juampablo E. Heras, et al.
Publicado: (2024)

The Federated Tumor Segmentation (FeTS) Challenge
por: Pati, Sarthak, et al.
Publicado: (2021)

PanTS: The Pancreatic Tumor Segmentation Dataset
por: Li, Wenxuan, et al.
Publicado: (2025)

Degradation-Aware Blur-Segmentation of Brain Tumor
por: Wang, Yuchun, et al.
Publicado: (2026)

Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders
por: Lippenszky, Levente, et al.
Publicado: (2025)

Generative Active Learning with Variational Autoencoder for Radiology Data Generation in Veterinary Medicine
por: Lee, In-Gyu, et al.
Publicado: (2024)

BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification
por: Fateh, Amirreza, et al.
Publicado: (2025)

Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation
por: Fu, Jingru, et al.
Publicado: (2024)

A New Logic For Pediatric Brain Tumor Segmentation
por: Bengtsson, Max, et al.
Publicado: (2024)

Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis
por: Zhang, Qi, et al.
Publicado: (2025)

AgentPolyp: Accurate Polyp Segmentation via Image Enhancement Agent
por: Wang, Pu, et al.
Publicado: (2025)

Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation
por: Ruan, Jiacheng, et al.
Publicado: (2023)

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
por: Li, Zi, et al.
Publicado: (2024)

SEDNet: Shallow Encoder-Decoder Network for Brain Tumor Segmentation
por: Olisah, Chollette C., et al.
Publicado: (2024)

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging
por: Capellán-Martín, Daniel, et al.
Publicado: (2024)

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective
por: Shao, Minye, et al.
Publicado: (2025)

Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation
por: Zhao, Yidong, et al.
Publicado: (2024)

TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation
por: Iqbal, Shahzaib, et al.
Publicado: (2024)

A Segmentation Framework for Accurate Diagnosis of Amyloid Positivity without Structural Images
por: Zhu, Penghan, et al.
Publicado: (2025)