Hilal Maradit Kremers

Use of Natural Language Processing Tools to Identify and Classify Periprosthetic Femur Fractures

2019 · 51 Zit. · The Journal of Arthroplasty

Applying Deep Learning to Establish a Total Hip Arthroplasty Radiography Registry

2022 · 43 Zit. · Journal of Bone and Joint Surgery

Use of Natural Language Processing Algorithms to Identify Common Data Elements in Operative Notes for Knee Arthroplasty

2020 · 43 Zit. · The Journal of Arthroplasty

Patient-specific Hip Arthroplasty Dislocation Risk Calculator: An Explainable Multimodal Machine Learning–based Approach

2022 · 31 Zit. · Radiology Artificial Intelligence

External Validation of Natural Language Processing Algorithms to Extract Common Data Elements in THA Operative Notes

2022 · 23 Zit. · The Journal of Arthroplasty

Machine learning in sports medicine: need for improvement

2021 · 12 Zit. · Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine

Multicenter Validation of Natural Language Processing Algorithms for the Detection of Common Data Elements in Operative Notes for Total Hip Arthroplasty: Algorithm Development and Validation

2022 · 8 Zit. · JMIR Medical Informatics

Enforcing Explainable Deep Few-Shot Learning to Analyze Plain Knee Radiographs: Data from the Osteoarthritis Initiative

2023 · 6 Zit.

DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks

2020 · 3 Zit. · Lecture notes in computer science

Uncertainty-Aware Deep Learning Characterization of Knee Radiographs for Large-Scale Registry Creation

2024 · 2 Zit. · The Journal of Arthroplasty

KneeXNet-2.5D: a clinically-oriented and explainable deep learning framework for MRI-based knee cartilage and meniscus segmentation

2026 · 0 Zit. · npj Health Systems