Imagen de Portada

Comparative Analysis of GAN and Diffusion for MRI-to-CT translation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Honey, Emily, Helbo, Anders, Petersen, Jens
Formato:	Preprint
Publicado:	2025
Materias:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy
por: Moradi, Nikoo, et al.
Publicado: (2024)

On Unsupervised Image-to-image translation and GAN stability
por: AlAila, BahaaEddin, et al.
Publicado: (2023)

S-CycleGAN: Semantic Segmentation Enhanced CT-Ultrasound Image-to-Image Translation for Robotic Ultrasonography
por: Song, Yuhan, et al.
Publicado: (2024)

Fairness-Aware Data Augmentation for Cardiac MRI using Text-Conditioned Diffusion Models
por: Skorupko, Grzegorz, et al.
Publicado: (2024)

A Comparative Analysis of U-Net-based models for Segmentation of Cardiac MRI
por: Saichandran, Ketan Suhaas
Publicado: (2024)

Shape-aware synthesis of pathological lung CT scans using CycleGAN for enhanced semi-supervised lung segmentation
por: Khiati, Rezkellah Noureddine, et al.
Publicado: (2024)

PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation
por: Rempe, Moritz, et al.
Publicado: (2025)

Diffusion MRI with Machine Learning
por: Karimi, Davood, et al.
Publicado: (2024)

Optimisation of SOUP-GAN and CSR-GAN for High Resolution MR Images Reconstruction
por: Rashid, Muneeba, et al.
Publicado: (2026)

Polyhedra Encoding Transformers: Enhancing Diffusion MRI Analysis Beyond Voxel and Volumetric Embedding
por: Yao, Tianyuan, et al.
Publicado: (2025)

An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation
por: Ren, Tianyi, et al.
Publicado: (2024)

Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction
por: Barba, Luis, et al.
Publicado: (2026)

Image-Adaptive GAN based Reconstruction
por: Hussein, Shady Abu, et al.
Publicado: (2019)

Inpainting Pathology in Lumbar Spine MRI with Latent Diffusion
por: Hansen, Colin, et al.
Publicado: (2024)

High-Frequency Space Diffusion Models for Accelerated MRI
por: Cao, Chentao, et al.
Publicado: (2022)

Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain MRI and chest x-ray images
por: Akbar, Muhammad Usman, et al.
Publicado: (2023)

Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images
por: Liman, Michelle Espranita, et al.
Publicado: (2024)

A Steerable Deep Network for Model-Free Diffusion MRI Registration
por: Cortes, Gianfranco, et al.
Publicado: (2025)

Product of Gaussian Mixture Diffusion Model for non-linear MRI Inversion
por: Nagler, Laurenz, et al.
Publicado: (2025)

TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI
por: Litrico, Mattia, et al.
Publicado: (2024)

Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
por: Dorjsembe, Zolnamar, et al.
Publicado: (2023)

TagGAN: A Generative Model for Data Tagging
por: Nawaz, Muhammad, et al.
Publicado: (2025)

Rethinking Image Skip Connections in StyleGAN2
por: Park, Seung, et al.
Publicado: (2024)

Medical Imaging Complexity and its Effects on GAN Performance
por: Cagas, William, et al.
Publicado: (2024)

MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)
por: Bangun, Arya, et al.
Publicado: (2024)

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
por: Fu, Yonggan, et al.
Publicado: (2020)

Interpretable Auto Window Setting for Deep-Learning-Based CT Analysis
por: Zhang, Yiqin, et al.
Publicado: (2025)

Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists
por: Ostmeier, Sophie, et al.
Publicado: (2022)

Comparative Study of Probabilistic Atlas and Deep Learning Approaches for Automatic Brain Tissue Segmentation from MRI Using N4 Bias Field Correction and Anisotropic Diffusion Pre-processing Techniques
por: Hossain, Mohammad Imran, et al.
Publicado: (2024)

GAN-Based Architecture for Low-dose Computed Tomography Imaging Denoising
por: Wang, Yunuo, et al.
Publicado: (2024)

Reducing the Representation Error of GAN Image Priors Using the Deep Decoder
por: Daniels, Mara, et al.
Publicado: (2020)

WINE: Wavelet-Guided GAN Inversion and Editing for High-Fidelity Refinement
por: Kim, Chaewon, et al.
Publicado: (2022)

Image inpainting for corrupted images by using the semi-super resolution GAN
por: Momen-Tayefeh, Mehrshad, et al.
Publicado: (2024)

HRVGAN: High Resolution Video Generation using Spatio-Temporal GAN
por: Sagar, Abhinav
Publicado: (2020)

Online learning for X-ray, CT or MRI
por: Bhuiyan, Mosabbir, et al.
Publicado: (2023)

Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks
por: Jin, Zihao, et al.
Publicado: (2024)

Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients
por: Monzon, Maria, et al.
Publicado: (2024)

The Impact of Preprocessing Methods on Racial Encoding and Model Robustness in CXR Diagnosis
por: Sutariya, Dishantkumar, et al.
Publicado: (2026)

MTSIC: Multi-stage Transformer-based GAN for Spectral Infrared Image Colorization
por: Liu, Tingting, et al.
Publicado: (2025)

MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks
por: Pasqualino, Giovanni, et al.
Publicado: (2024)