Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer
Fuente:
arXiv
Saved in:
| Main Authors: | Salmanpour, Mohammad R., Mousavi, Amin, Xu, Yixi, Weeks, William B, Hacihaliloglu, Ilker |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer
by: Salmanpour, Mohammad R., et al.
Published: (2025)
by: Salmanpour, Mohammad R., et al.
Published: (2025)
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification
by: Zhou, Meng, et al.
Published: (2023)
by: Zhou, Meng, et al.
Published: (2023)
Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality
by: Yazdani, Milad, et al.
Published: (2025)
by: Yazdani, Milad, et al.
Published: (2025)
Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0
by: Salmanpour, Mohammad R., et al.
Published: (2024)
by: Salmanpour, Mohammad R., et al.
Published: (2024)
Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images
by: Wang, Fangyijie, et al.
Published: (2025)
by: Wang, Fangyijie, et al.
Published: (2025)
Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data
by: Harmanani, Mohamed, et al.
Published: (2024)
by: Harmanani, Mohamed, et al.
Published: (2024)
Wireless vs. Traditional Ultrasound Assessed Knee Cartilage Outcomes Utilizing Automated Gain and Normalization Techniques
by: Parmar, Arjun, et al.
Published: (2024)
by: Parmar, Arjun, et al.
Published: (2024)
Deep Radiomics Detection of Clinically Significant Prostate Cancer on Multicenter MRI: Initial Comparison to PI-RADS Assessment
by: Nketiah, G. A., et al.
Published: (2024)
by: Nketiah, G. A., et al.
Published: (2024)
Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images
by: Sang, Shengtian, et al.
Published: (2025)
by: Sang, Shengtian, et al.
Published: (2025)
Mono2D: A Trainable Monogenic Layer for Robust Knee Cartilage Segmentation on Out-of-Distribution 2D Ultrasound Data
by: Kimbowa, Alvin, et al.
Published: (2025)
by: Kimbowa, Alvin, et al.
Published: (2025)
Radiomics in Medical Imaging: Methods, Applications, and Challenges
by: Neha, Fnu, et al.
Published: (2026)
by: Neha, Fnu, et al.
Published: (2026)
RadHop-Net: A Lightweight Radiomics-to-Error Regression for False Positive Reduction In MRI Prostate Cancer Detection
by: Magoulianitis, Vasileios, et al.
Published: (2025)
by: Magoulianitis, Vasileios, et al.
Published: (2025)
XTinyU-Net: Training-Free U-Net Scaling via Initialization-Time Sensitivity
by: Kimbowa, Alvin, et al.
Published: (2026)
by: Kimbowa, Alvin, et al.
Published: (2026)
MR2US-Pro: Prostate MR to Ultrasound Image Translation and Registration Based on Diffusion Models
by: Ma, Xudong, et al.
Published: (2025)
by: Ma, Xudong, et al.
Published: (2025)
Automatic Prostate Volume Estimation in Transabdominal Ultrasound Images
by: Natali, Tiziano, et al.
Published: (2025)
by: Natali, Tiziano, et al.
Published: (2025)
Translation of Fetal Brain Ultrasound Images into Pseudo-MRI Images using Artificial Intelligence
by: Silverstein, Naomi, et al.
Published: (2025)
by: Silverstein, Naomi, et al.
Published: (2025)
CycleGAN Models for MRI Image Translation
by: Czobit, Cassandra, et al.
Published: (2023)
by: Czobit, Cassandra, et al.
Published: (2023)
MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-Care Ultrasound Devices
by: Kimbowa, Alvin, et al.
Published: (2026)
by: Kimbowa, Alvin, et al.
Published: (2026)
TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound
by: Harmanani, Mohamed, et al.
Published: (2025)
by: Harmanani, Mohamed, et al.
Published: (2025)
DD_RoTIR: Dual-Domain Image Registration via Image Translation and Hierarchical Feature-matching
by: Wang, Ruixiong, et al.
Published: (2024)
by: Wang, Ruixiong, et al.
Published: (2024)
Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study
by: Moradi, Ashkan, et al.
Published: (2025)
by: Moradi, Ashkan, et al.
Published: (2025)
Radiomics and Clinical Features in Predictive Modelling of Brain Metastases Recurrence
by: Faria, Ines, et al.
Published: (2025)
by: Faria, Ines, et al.
Published: (2025)
Reinforcement Learning for Ultrasound Image Analysis A Comprehensive Review of Advances and Applications
by: Ezzelarab, Maha, et al.
Published: (2025)
by: Ezzelarab, Maha, et al.
Published: (2025)
A Narrative Review of Image Processing Techniques Related to Prostate Ultrasound
by: Wang, Haiqiao, et al.
Published: (2024)
by: Wang, Haiqiao, et al.
Published: (2024)
MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline
by: Medghalchi, Yasamin, et al.
Published: (2024)
by: Medghalchi, Yasamin, et al.
Published: (2024)
Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks
by: Ashrafian, Pooria, et al.
Published: (2024)
by: Ashrafian, Pooria, et al.
Published: (2024)
MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
by: Kolahi, Sina Ghorbani, et al.
Published: (2024)
by: Kolahi, Sina Ghorbani, et al.
Published: (2024)
Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study
by: Jahanandish, Hassan, et al.
Published: (2025)
by: Jahanandish, Hassan, et al.
Published: (2025)
Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI
by: Muftah, Asmail, et al.
Published: (2024)
by: Muftah, Asmail, et al.
Published: (2024)
Prostate Capsule Segmentation from Micro-Ultrasound Images using Adaptive Focal Loss
by: Fatema, Kaniz, et al.
Published: (2025)
by: Fatema, Kaniz, et al.
Published: (2025)
Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
by: Malekmohammadi, Amin, et al.
Published: (2024)
by: Malekmohammadi, Amin, et al.
Published: (2024)
Systematic Evaluation of Wavelet-Based Denoising for MRI Brain Images: Optimal Configurations and Performance Benchmarks
by: Rahman, Asadullah Bin, et al.
Published: (2025)
by: Rahman, Asadullah Bin, et al.
Published: (2025)
Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
by: Wu, Hong, et al.
Published: (2024)
by: Wu, Hong, et al.
Published: (2024)
WaRA: Wavelet Low Rank Adaptation
by: Heidari, Moein, et al.
Published: (2025)
by: Heidari, Moein, et al.
Published: (2025)
Image-to-Image Translation with Generative Adversarial Network for Electrical Resistance Tomography Reconstruction
by: Yan, Wejian
Published: (2025)
by: Yan, Wejian
Published: (2025)
Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI
by: Cicimen, Alp G., et al.
Published: (2024)
by: Cicimen, Alp G., et al.
Published: (2024)
Deep Learning for Super-resolution Ultrasound Imaging with Spatiotemporal Data
by: Redfern, Arthur David, et al.
Published: (2024)
by: Redfern, Arthur David, et al.
Published: (2024)
Morphological-consistent Diffusion Network for Ultrasound Coronal Image Enhancement
by: Zhou, Yihao, et al.
Published: (2024)
by: Zhou, Yihao, et al.
Published: (2024)
Physics-Embedded Feature Learning for AI in Medical Imaging
by: Das, Pulock, et al.
Published: (2026)
by: Das, Pulock, et al.
Published: (2026)
Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation
by: Heidari, Moein, et al.
Published: (2025)
by: Heidari, Moein, et al.
Published: (2025)
Similar Items
-
Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer
by: Salmanpour, Mohammad R., et al.
Published: (2025) -
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification
by: Zhou, Meng, et al.
Published: (2023) -
Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality
by: Yazdani, Milad, et al.
Published: (2025) -
Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0
by: Salmanpour, Mohammad R., et al.
Published: (2024) -
Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images
by: Wang, Fangyijie, et al.
Published: (2025)