Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study
Fuente:
arXiv
Guardado en:
| Autores principales: | Jahanandish, Hassan, Sang, Shengtian, Li, Cynthia Xinran, Vesal, Sulaiman, Bhattacharya, Indrani, Lee, Jeong Hoon, Fan, Richard, Sonna, Geoffrey A., Rusu, Mirabela |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images
por: Sang, Shengtian, et al.
Publicado: (2025)
por: Sang, Shengtian, et al.
Publicado: (2025)
Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer
por: Lee, Jeong Hoon, et al.
Publicado: (2025)
por: Lee, Jeong Hoon, et al.
Publicado: (2025)
Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound
por: Zhang, Lichun, et al.
Publicado: (2024)
por: Zhang, Lichun, et al.
Publicado: (2024)
Comparing Radiologist Performance in Diagnosing Clinically Significant Prostate Cancer With Biparametric Versus Size‐Selective Diffusion MRI
por: Hao Cheng, et al.
Publicado: (2026)
por: Hao Cheng, et al.
Publicado: (2026)
Assessing the Performance of Artificial Intelligence Assistance for Prostate MRI: A Two‐Center Study Involving Radiologists With Different Experience Levels
por: Zhaonan Sun, et al.
Publicado: (2024)
por: Zhaonan Sun, et al.
Publicado: (2024)
Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images
por: Monfared, Vahid, et al.
Publicado: (2026)
por: Monfared, Vahid, et al.
Publicado: (2026)
Prostate Volume and PSA‐Density Estimation by Transabdominal Ultrasound: Prospective Evidence of Comparative Accuracy to MRI and Transrectal Ultrasound in Prostate Cancer Early Diagnostics
por: Liza M. Kurucz, et al.
Publicado: (2025)
por: Liza M. Kurucz, et al.
Publicado: (2025)
Sound event detection based on auxiliary decoder and maximum probability aggregation for DCASE Challenge 2024 Task 4
por: Son, Sang Won, et al.
Publicado: (2024)
por: Son, Sang Won, et al.
Publicado: (2024)
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images
por: Golestani, Negar, et al.
Publicado: (2024)
por: Golestani, Negar, et al.
Publicado: (2024)
Phase retrieval technique from regions of unresolvable fringe density using Phase Shifting Interferometry and Liquid Crystal on Silicon (LCOS) Spatial Light Modulator (SLM)
por: Bhattacharya, Indrani
Publicado: (2026)
por: Bhattacharya, Indrani
Publicado: (2026)
Patch-Based Diffusion for Data-Efficient, Radiologist-Preferred MRI Reconstruction
por: Sanda, Rohan, et al.
Publicado: (2025)
por: Sanda, Rohan, et al.
Publicado: (2025)
Value of Systematic and MRI‐Ultrasound Fusion Prostate Biopsy in Different Prostate Specific Antigen (PSA) Levels
por: Solmaz Ohadian Moghadam, et al.
Publicado: (2025)
por: Solmaz Ohadian Moghadam, et al.
Publicado: (2025)
ProMUS ‐ NET : Artificial intelligence detects more prostate cancer than urologists on micro‐ultrasonography
por: Steve R. Zhou, et al.
Publicado: (2025)
por: Steve R. Zhou, et al.
Publicado: (2025)
A Geometric Multimodal Foundation Model Integrating Bp-MRI and Clinical Reports in Prostate Cancer Classification
por: Olmos, Juan A., et al.
Publicado: (2026)
por: Olmos, Juan A., et al.
Publicado: (2026)
Editorial Comment on “The Evolution of Prostate Multiparametric MRI and Its Application in Prostate Cancer Clinical Management”
por: Yoshiko Ueno
Publicado: (2026)
por: Yoshiko Ueno
Publicado: (2026)
Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI
por: Patricia M. Johnson, et al.
Publicado: (2025)
por: Patricia M. Johnson, et al.
Publicado: (2025)
Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis
por: Hering, Alessa, et al.
Publicado: (2024)
por: Hering, Alessa, et al.
Publicado: (2024)
Enhancing Prostate Cancer Diagnosis: The Combined Value of PHI and mpMRI
por: Y. M. Yáñez‐Castillo, et al.
Publicado: (2025)
por: Y. M. Yáñez‐Castillo, et al.
Publicado: (2025)
Ouk éstin antilégein: Antístenes tras la máscara de Parménides en el Sofista de Platón
por: Valeria Sonna
Publicado: (2017)
por: Valeria Sonna
Publicado: (2017)
La inversión del platonismo en la obra de Gilles Deleuze
por: Valeria Sonna
Publicado: (2018)
por: Valeria Sonna
Publicado: (2018)
Matricidio y diferencia sexual en las Leyes de Platón
por: Valeria Sonna
Publicado: (2023)
por: Valeria Sonna
Publicado: (2023)
DELEUZE LECTOR DE PLATÓN
por: Valeria Sonna
Publicado: (2014)
por: Valeria Sonna
Publicado: (2014)
External Validation of MRI ‐Based Prostate Cancer Risk Calculators in an Australian Cohort
por: Nicole Williams, et al.
Publicado: (2025)
por: Nicole Williams, et al.
Publicado: (2025)
Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI
por: Muftah, Asmail, et al.
Publicado: (2024)
por: Muftah, Asmail, et al.
Publicado: (2024)
Long‐Term Risk of Clinically Significant Prostate Cancer in Biopsy‐Negative Patients With Baseline Biparametric Prostate MRI
por: Laura Parhiala, et al.
Publicado: (2024)
por: Laura Parhiala, et al.
Publicado: (2024)
Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer
por: Salmanpour, Mohammad R., et al.
Publicado: (2025)
por: Salmanpour, Mohammad R., et al.
Publicado: (2025)
Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer
por: Salmanpour, Mohammad R., et al.
Publicado: (2024)
por: Salmanpour, Mohammad R., et al.
Publicado: (2024)
Editorial for “Incorporating Radiologist Knowledge Into MRI Quality Metrics for Machine Learning Using Rank‐Based Ratings”
por: Yao Lu, et al.
Publicado: (2025)
por: Yao Lu, et al.
Publicado: (2025)
Ultra-Strong Gradient Diffusion MRI with Self-Supervised Learning for Prostate Cancer Characterization
por: Patil, Tanishq, et al.
Publicado: (2025)
por: Patil, Tanishq, et al.
Publicado: (2025)
Racial Disparities in the Use of MRI and PET Scan Among Medicare Beneficiaries With Prostate Cancer
por: Hanna Zurl, et al.
Publicado: (2025)
por: Hanna Zurl, et al.
Publicado: (2025)
Shifts in Diagnostic Approaches for Prostate Cancer: Impact of MRI ‐Informed Biopsies on Low‐Risk Cancer Detection
por: Yoichiro Tohi, et al.
Publicado: (2025)
por: Yoichiro Tohi, et al.
Publicado: (2025)
Promptable cancer segmentation using minimal expert-curated data
por: Karam, Lynn, et al.
Publicado: (2025)
por: Karam, Lynn, et al.
Publicado: (2025)
Read Like a Radiologist: Efficient Vision-Language Model for 3D Medical Imaging Interpretation
por: Lee, Changsun, et al.
Publicado: (2024)
por: Lee, Changsun, et al.
Publicado: (2024)
A European Multi-Center Breast Cancer MRI Dataset
por: Müller-Franzes, Gustav, et al.
Publicado: (2025)
por: Müller-Franzes, Gustav, et al.
Publicado: (2025)
RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows
por: Zhang, Kai, et al.
Publicado: (2025)
por: Zhang, Kai, et al.
Publicado: (2025)
Frontiers of Ultrasound Technology in Prostate Cancer Treatment
por: Sunao Shoji, et al.
Publicado: (2025)
por: Sunao Shoji, et al.
Publicado: (2025)
Preoperative Assessment of Extraprostatic Extension in Prostate Cancer Using an Interpretable Tabular Prior‐Data Fitted Network‐Based Radiomics Model From MRI
por: Bai‐Chuan Liu, et al.
Publicado: (2025)
por: Bai‐Chuan Liu, et al.
Publicado: (2025)
La comunidad de mujeres en República de Platón
por: María Valeria Sonna
Publicado: (2022)
por: María Valeria Sonna
Publicado: (2022)
A Second-Order Attention Mechanism For Prostate Cancer Segmentation and Detection in Bi-Parametric MRI
por: Ortiz, Mateo, et al.
Publicado: (2025)
por: Ortiz, Mateo, et al.
Publicado: (2025)
Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study
por: Moradi, Ashkan, et al.
Publicado: (2025)
por: Moradi, Ashkan, et al.
Publicado: (2025)
Ejemplares similares
-
Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images
por: Sang, Shengtian, et al.
Publicado: (2025) -
Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer
por: Lee, Jeong Hoon, et al.
Publicado: (2025) -
Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound
por: Zhang, Lichun, et al.
Publicado: (2024) -
Comparing Radiologist Performance in Diagnosing Clinically Significant Prostate Cancer With Biparametric Versus Size‐Selective Diffusion MRI
por: Hao Cheng, et al.
Publicado: (2026) -
Assessing the Performance of Artificial Intelligence Assistance for Prostate MRI: A Two‐Center Study Involving Radiologists With Different Experience Levels
por: Zhaonan Sun, et al.
Publicado: (2024)