Copertina

A Probabilistic Hadamard U-Net for MRI Bias Field Correction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhu, Xin, Pan, Hongyi, Velichko, Yury, Murphy, Adam B., Ross, Ashley, Turkbey, Baris, Cetin, Ahmet Enis, Bagci, Ulas
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction
di: Zhu, Xin, et al.
Pubblicazione: (2025)

Frequency-Based Federated Domain Generalization for Polyp Segmentation
di: Pan, Hongyi, et al.
Pubblicazione: (2024)

Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets
di: Pan, Hongyi, et al.
Pubblicazione: (2023)

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques
di: Hong, Ziliang, et al.
Pubblicazione: (2024)

PAM-UNet: Shifting Attention on Region of Interest in Medical Images
di: Das, Abhijit, et al.
Pubblicazione: (2024)

MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
di: Zafari, Yalda, et al.
Pubblicazione: (2025)

Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation
di: Pan, Hongyi, et al.
Pubblicazione: (2025)

Segmentation Quality and Volumetric Accuracy in Medical Imaging
di: Zhang, Zheyuan, et al.
Pubblicazione: (2024)

Ensemble Models for Predicting Treatment Response in Pediatric Low-Grade Glioma Managed with Chemotherapy
di: Bengtsson, Max, et al.
Pubblicazione: (2026)

CT Liver Segmentation via PVT-based Encoding and Refined Decoding
di: Jha, Debesh, et al.
Pubblicazione: (2024)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation
di: Jha, Debesh, et al.
Pubblicazione: (2024)

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

Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI
di: Pan, Hongyi, et al.
Pubblicazione: (2024)

Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
di: Zhang, Zheyuan, et al.
Pubblicazione: (2024)

TransRUPNet for Improved Polyp Segmentation
di: Jha, Debesh, et al.
Pubblicazione: (2023)

Motion-Adaptive Inference for Flexible Learned B-Frame Compression
di: Yilmaz, M. Akin, et al.
Pubblicazione: (2024)

Hadamard Encoded Row Column Ultrasonic Expansive Scanning (HERCULES) with Bias-Switchable Row-Column Arrays
di: Dahunsi, Darren Olufemi, et al.
Pubblicazione: (2025)

TAGS: 3D Tumor-Adaptive Guidance for SAM
di: Li, Sirui, et al.
Pubblicazione: (2025)

Large Scale MRI Collection and Segmentation of Cirrhotic Liver
di: Jha, Debesh, et al.
Pubblicazione: (2024)

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation
di: Zhang, Zheyuan, et al.
Pubblicazione: (2025)

An Optimized Binning and Probabilistic Slice Sharing Algorithm for Motion Correction in Abdominal DW-MRI
di: Su, Michelle, et al.
Pubblicazione: (2024)

Surface Coil Intensity Correction for MRI
di: Lei, Xuan, et al.
Pubblicazione: (2023)

EMulator: Rapid Estimation of Complex-valued Electric Fields using a U-Net Architecture
di: Ahsan, Fatima, et al.
Pubblicazione: (2025)

Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model
di: Subedi, Aliza, et al.
Pubblicazione: (2024)

Diverse Image Generation with Diffusion Models and Cross Class Label Learning for Polyp Classification
di: Sharma, Vanshali, et al.
Pubblicazione: (2025)

UP2D: Uncertainty-aware Progressive Pseudo-label Denoising for Source-Free Domain Adaptive Medical Image Segmentation
di: Bui-Tran, Quang-Khai, et al.
Pubblicazione: (2025)

Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation
di: Gorade, Vandan, et al.
Pubblicazione: (2024)

U-Net-Based Generative Joint Source-Channel Coding for Wireless Image Transmission
di: Ye, Ming, et al.
Pubblicazione: (2026)

Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation
di: Khadra, Kathrin, et al.
Pubblicazione: (2024)

Advanced YOLO-based Real-time Power Line Detection for Vegetation Management
di: Rong, Shuaiang, et al.
Pubblicazione: (2025)

Reliable Evaluation of MRI Motion Correction: Dataset and Insights
di: Wang, Kun, et al.
Pubblicazione: (2025)

A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation
di: Verma, Hanuman, et al.
Pubblicazione: (2026)

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation
di: Biswas, Koushik, et al.
Pubblicazione: (2024)

Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets
di: Milani, Omid Halimi, et al.
Pubblicazione: (2025)

Left Atrial Segmentation with nnU-Net Using MRI
di: Hosseinabadi, Fatemeh, et al.
Pubblicazione: (2025)

Variational U-Net with Local Alignment for Joint Tumor Extraction and Registration (VALOR-Net) of Breast MRI Data Acquired at Two Different Field Strengths
di: Khan, Muhammad Shahkar, et al.
Pubblicazione: (2025)

IPMN Risk Assessment under Federated Learning Paradigm
di: Pan, Hongyi, et al.
Pubblicazione: (2024)

Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware Segmentations of Images
di: Park, Jiyoung, et al.
Pubblicazione: (2024)

Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI
di: Eichhorn, Hannah, et al.
Pubblicazione: (2024)

Analyzing Model Misspecification in Quantitative MRI: Application to Perfusion ASL
di: Wang, Jiachen, et al.
Pubblicazione: (2026)