Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Osuala, Richard, Joshi, Smriti, Tsirikoglou, Apostolia, Garrucho, Lidia, Pinaya, Walter H. L., Diaz, Oliver, Lekadir, Karim |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks
by: Osuala, Richard, et al.
Published: (2024)
by: Osuala, Richard, et al.
Published: (2024)
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
by: Osuala, Richard, et al.
Published: (2024)
by: Osuala, Richard, et al.
Published: (2024)
Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-Contrast Images
by: Ibarra, Sebastian, et al.
Published: (2025)
by: Ibarra, Sebastian, et al.
Published: (2025)
Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification
by: Joshi, Smriti, et al.
Published: (2025)
by: Joshi, Smriti, et al.
Published: (2025)
Clinically-guided Data Synthesis for Laryngeal Lesion Detection
by: Baldini, Chiara, et al.
Published: (2025)
by: Baldini, Chiara, et al.
Published: (2025)
Federated learning in low-resource settings: A chest imaging study in Africa -- Challenges and lessons learned
by: Fabila, Jorge, et al.
Published: (2025)
by: Fabila, Jorge, et al.
Published: (2025)
Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
by: Lang, Daniel M., et al.
Published: (2025)
by: Lang, Daniel M., et al.
Published: (2025)
Single Image Test-Time Adaptation via Multi-View Co-Training
by: Joshi, Smriti, et al.
Published: (2025)
by: Joshi, Smriti, et al.
Published: (2025)
Fairness-Aware Data Augmentation for Cardiac MRI using Text-Conditioned Diffusion Models
by: Skorupko, Grzegorz, et al.
Published: (2024)
by: Skorupko, Grzegorz, et al.
Published: (2024)
Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets
by: Konz, Nicholas, et al.
Published: (2024)
by: Konz, Nicholas, et al.
Published: (2024)
Dual Deep Learning Approach for Non-invasive Renal Tumour Subtyping with VERDICT-MRI
by: Sen, Snigdha, et al.
Published: (2025)
by: Sen, Snigdha, et al.
Published: (2025)
TuLaBM: Tumor-Biased Latent Bridge Matching for Contrast-Enhanced MRI Synthesis
by: Rege, Atharva, et al.
Published: (2026)
by: Rege, Atharva, et al.
Published: (2026)
D2Diff : A Dual Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis
by: Dayarathna, Sanuwani, et al.
Published: (2025)
by: Dayarathna, Sanuwani, et al.
Published: (2025)
Hybridization of Attention UNet with Repeated Atrous Spatial Pyramid Pooling for Improved Brain Tumour Segmentation
by: Chowdhury, Satyaki Roy, et al.
Published: (2025)
by: Chowdhury, Satyaki Roy, et al.
Published: (2025)
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
by: Bilic, Anthony, et al.
Published: (2024)
by: Bilic, Anthony, et al.
Published: (2024)
INR meets Multi-Contrast MRI Reconstruction
by: Niessen, Natascha, et al.
Published: (2025)
by: Niessen, Natascha, et al.
Published: (2025)
Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI
by: Maleki, Nazanin, et al.
Published: (2025)
by: Maleki, Nazanin, et al.
Published: (2025)
BreastSegNet: Multi-label Segmentation of Breast MRI
by: Li, Qihang, et al.
Published: (2025)
by: Li, Qihang, et al.
Published: (2025)
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour Segmentation
by: Alloula, Anissa, et al.
Published: (2023)
by: Alloula, Anissa, et al.
Published: (2023)
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis
by: Gui, Lujun, et al.
Published: (2024)
by: Gui, Lujun, et al.
Published: (2024)
Discriminating Distal Ischemic Stroke from Seizure-Induced Stroke Mimics Using Dynamic Susceptibility Contrast MRI
by: Borghouts, Marijn, et al.
Published: (2025)
by: Borghouts, Marijn, et al.
Published: (2025)
Evaluating the Impact of Sequence Combinations on Breast Tumor Segmentation in Multiparametric MRI
by: Min, Hang, et al.
Published: (2024)
by: Min, Hang, et al.
Published: (2024)
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models
by: Daum, Deniz, et al.
Published: (2024)
by: Daum, Deniz, et al.
Published: (2024)
Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation
by: Tai, Chi-en Amy, et al.
Published: (2024)
by: Tai, Chi-en Amy, et al.
Published: (2024)
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI
by: Zhong, Xinliu, et al.
Published: (2025)
by: Zhong, Xinliu, et al.
Published: (2025)
Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRI
by: Piening, Moritz, et al.
Published: (2024)
by: Piening, Moritz, et al.
Published: (2024)
A 3D generative model of pathological multi-modal MR images and segmentations
by: Fernandez, Virginia, et al.
Published: (2023)
by: Fernandez, Virginia, et al.
Published: (2023)
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI
by: Zhou, Lei, et al.
Published: (2024)
by: Zhou, Lei, et al.
Published: (2024)
Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography
by: Chen, Xuxin, et al.
Published: (2024)
by: Chen, Xuxin, et al.
Published: (2024)
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
by: Arratia, Pablo, et al.
Published: (2025)
by: Arratia, Pablo, et al.
Published: (2025)
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
by: Moawad, Ahmed W., et al.
Published: (2023)
by: Moawad, Ahmed W., et al.
Published: (2023)
Segment Any Tumour: An Uncertainty-Aware Vision Foundation Model for Whole-Body Analysis
by: Peiris, Himashi, et al.
Published: (2025)
by: Peiris, Himashi, et al.
Published: (2025)
Learning Scan-Adaptive MRI Undersampling Patterns with Pre-Optimized Mask Supervision
by: Dhar, Aryan, et al.
Published: (2025)
by: Dhar, Aryan, et al.
Published: (2025)
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
by: Zhang, Lipei, et al.
Published: (2024)
by: Zhang, Lipei, et al.
Published: (2024)
A Feasibility Study of Task-Based fMRI at 0.55 T
by: Razmara, Parsa, et al.
Published: (2025)
by: Razmara, Parsa, et al.
Published: (2025)
Deep Learning-Based Prediction of PET Amyloid Status Using Multi-Contrast MRI
by: Kim, Donghoon, et al.
Published: (2024)
by: Kim, Donghoon, et al.
Published: (2024)
Keep the Core: Adversarial Priors for Significance-Preserving Brain MRI Segmentation
by: Zhang, Feifei, et al.
Published: (2025)
by: Zhang, Feifei, et al.
Published: (2025)
Brain MRI detection by Sematic Segmentation models- Transfer Learning approach
by: Vajiram, Jayanthi, et al.
Published: (2024)
by: Vajiram, Jayanthi, et al.
Published: (2024)
AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis
by: Bharti, Divya, et al.
Published: (2025)
by: Bharti, Divya, et al.
Published: (2025)
Validation of Fully-Automated Deep Learning-Based Fibroglandular Tissue Segmentation for Efficient and Reliable Quantitation of Background Parenchymal Enhancement in Breast MRI
by: Kuo, Yu-Tzu, et al.
Published: (2025)
by: Kuo, Yu-Tzu, et al.
Published: (2025)
Similar Items
-
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks
by: Osuala, Richard, et al.
Published: (2024) -
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
by: Osuala, Richard, et al.
Published: (2024) -
Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-Contrast Images
by: Ibarra, Sebastian, et al.
Published: (2025) -
Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification
by: Joshi, Smriti, et al.
Published: (2025) -
Clinically-guided Data Synthesis for Laryngeal Lesion Detection
by: Baldini, Chiara, et al.
Published: (2025)