Emory Knee Radiograph (MRKR) Dataset
Fuente:
arXiv
Guardado en:
| Autores principales: | Price, Brandon, Adleberg, Jason, Thomas, Kaesha, Zaiman, Zach, Mansuri, Aawez, Brown-Mulry, Beatrice, Okecheukwu, Chima, Gichoya, Judy, Trivedi, Hari |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Feature Quality and Adaptability of Medical Foundation Models: A Comparative Evaluation for Radiographic Classification and Segmentation
por: Li, Frank, et al.
Publicado: (2025)
por: Li, Frank, et al.
Publicado: (2025)
Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection
por: Brown-Mulry, Beatrice, et al.
Publicado: (2025)
por: Brown-Mulry, Beatrice, et al.
Publicado: (2025)
Evaluating Vision Language Models (VLMs) for Radiology: A Comprehensive Analysis
por: Li, Frank, et al.
Publicado: (2025)
por: Li, Frank, et al.
Publicado: (2025)
A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study
por: Park, Jungkyu, et al.
Publicado: (2025)
por: Park, Jungkyu, et al.
Publicado: (2025)
Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk
por: Dapamede, Theodorus, et al.
Publicado: (2025)
por: Dapamede, Theodorus, et al.
Publicado: (2025)
Impact of Label Noise from Large Language Models Generated Annotations on Evaluation of Diagnostic Model Performance
por: Chavoshi, Mohammadreza, et al.
Publicado: (2025)
por: Chavoshi, Mohammadreza, et al.
Publicado: (2025)
Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data
por: Moroianu, Stefania L., et al.
Publicado: (2025)
por: Moroianu, Stefania L., et al.
Publicado: (2025)
MultiMedVision: Multi-Modal Medical Vision Framework
por: Li, Frank, et al.
Publicado: (2026)
por: Li, Frank, et al.
Publicado: (2026)
KneeXNeT: An Ensemble-Based Approach for Knee Radiographic Evaluation
por: Srikijkasemwat, Nicharee, et al.
Publicado: (2024)
por: Srikijkasemwat, Nicharee, et al.
Publicado: (2024)
Deep Learning-based Alignment Measurement in Knee Radiographs
por: Hu, Zhisen, et al.
Publicado: (2025)
por: Hu, Zhisen, et al.
Publicado: (2025)
The Role of Radiographic Knee Alignment in Total Knee Replacement Outcomes and Opportunities for Artificial Intelligence-Driven Assessment
por: Hu, Zhisen, et al.
Publicado: (2025)
por: Hu, Zhisen, et al.
Publicado: (2025)
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors
por: Heming, Carolina A. M., et al.
Publicado: (2023)
por: Heming, Carolina A. M., et al.
Publicado: (2023)
Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion Models
por: Mei, Siyuan, et al.
Publicado: (2024)
por: Mei, Siyuan, et al.
Publicado: (2024)
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
por: Khosravi, Bardia, et al.
Publicado: (2023)
por: Khosravi, Bardia, et al.
Publicado: (2023)
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging
por: Wu, Wenhua, et al.
Publicado: (2024)
por: Wu, Wenhua, et al.
Publicado: (2024)
Nomic Embed Vision: Expanding the Latent Space
por: Nussbaum, Zach, et al.
Publicado: (2024)
por: Nussbaum, Zach, et al.
Publicado: (2024)
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development
por: Zhou, Zhenhuan, et al.
Publicado: (2025)
por: Zhou, Zhenhuan, et al.
Publicado: (2025)
Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis
por: Prezja, Fabi, et al.
Publicado: (2023)
por: Prezja, Fabi, et al.
Publicado: (2023)
Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting
por: Ghosh, Shantanu, et al.
Publicado: (2025)
por: Ghosh, Shantanu, et al.
Publicado: (2025)
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization
por: Li, Zhaochen, et al.
Publicado: (2026)
por: Li, Zhaochen, et al.
Publicado: (2026)
Feasibility Study of a Diffusion-Based Model for Cross-Modal Generation of Knee MRI from X-ray: Integrating Radiographic Feature Information
por: Wang, Zhe, et al.
Publicado: (2024)
por: Wang, Zhe, et al.
Publicado: (2024)
Product-of-Gaussian-Mixture Diffusion Models for Joint Nonlinear MRI Reconstruction
por: Nagler, Laurenz, et al.
Publicado: (2026)
por: Nagler, Laurenz, et al.
Publicado: (2026)
RadGenome-Anatomy: A Large-Scale Anatomy-Labeled Chest Radiograph Dataset via Physically Grounded Volumetric Projection
por: Ye, Shuchang, et al.
Publicado: (2026)
por: Ye, Shuchang, et al.
Publicado: (2026)
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding
por: Khose, Sahil, et al.
Publicado: (2023)
por: Khose, Sahil, et al.
Publicado: (2023)
Knee or ROC
por: Wendt, Veronica, et al.
Publicado: (2024)
por: Wendt, Veronica, et al.
Publicado: (2024)
ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports
por: Zhang, Xiaoman, et al.
Publicado: (2025)
por: Zhang, Xiaoman, et al.
Publicado: (2025)
Uncertainty-guided Generation of Dark-field Radiographs
por: Felsner, Lina, et al.
Publicado: (2026)
por: Felsner, Lina, et al.
Publicado: (2026)
DentalX: Context-Aware Dental Disease Detection with Radiographs
por: Tan, Zhi Qin, et al.
Publicado: (2026)
por: Tan, Zhi Qin, et al.
Publicado: (2026)
RAM-H1200: A Unified Evaluation and Dataset on Hand Radiographs for Rheumatoid Arthritis
por: Yang, Songxiao, et al.
Publicado: (2026)
por: Yang, Songxiao, et al.
Publicado: (2026)
MODEST: Multi-Optics Depth-of-Field Stereo Dataset
por: Trivedi, Nisarg K., et al.
Publicado: (2025)
por: Trivedi, Nisarg K., et al.
Publicado: (2025)
PuzzlePoles: Cylindrical Fiducial Markers Based on the PuzzleBoard Pattern
por: Zach, Juri, et al.
Publicado: (2025)
por: Zach, Juri, et al.
Publicado: (2025)
Product of Gaussian Mixture Diffusion Model for non-linear MRI Inversion
por: Nagler, Laurenz, et al.
Publicado: (2025)
por: Nagler, Laurenz, et al.
Publicado: (2025)
Knowledge-Guided Textual Reasoning for Explainable Video Anomaly Detection via LLMs
por: Lee, Hari
Publicado: (2025)
por: Lee, Hari
Publicado: (2025)
Silhouette-to-Contour Registration: Aligning Intraoral Scan Models with Cephalometric Radiographs
por: Miao, Yiyi, et al.
Publicado: (2025)
por: Miao, Yiyi, et al.
Publicado: (2025)
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
por: Yue, Yang, et al.
Publicado: (2025)
por: Yue, Yang, et al.
Publicado: (2025)
Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification
por: Hou, Benjamin, et al.
Publicado: (2024)
por: Hou, Benjamin, et al.
Publicado: (2024)
Center for Library and Information Resources Emory University.
por: Keilor, Mia
Publicado: (1998)
por: Keilor, Mia
Publicado: (1998)
SynRailObs: A Synthetic Dataset for Obstacle Detection in Railway Scenarios
por: Guo, Qiushi, et al.
Publicado: (2025)
por: Guo, Qiushi, et al.
Publicado: (2025)
Community-based (and driven) development : a critical review / Ghazala Mansuri, Vijayendra Rao
por: Mansuri, Ghazala
Publicado: (2004)
por: Mansuri, Ghazala
Publicado: (2004)
Migration, sex bias, and child growth in rural Pakistan / Ghazala Mansuri
por: Mansuri, Ghazala
Publicado: (2006)
por: Mansuri, Ghazala
Publicado: (2006)
Ejemplares similares
-
Feature Quality and Adaptability of Medical Foundation Models: A Comparative Evaluation for Radiographic Classification and Segmentation
por: Li, Frank, et al.
Publicado: (2025) -
Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection
por: Brown-Mulry, Beatrice, et al.
Publicado: (2025) -
Evaluating Vision Language Models (VLMs) for Radiology: A Comprehensive Analysis
por: Li, Frank, et al.
Publicado: (2025) -
A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study
por: Park, Jungkyu, et al.
Publicado: (2025) -
Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk
por: Dapamede, Theodorus, et al.
Publicado: (2025)