Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

12 April 2019

Esa Rahtu

Papers citing "Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data"

27 / 27 papers shown

Title
A systematic review of challenges and proposed solutions in modeling multimodal data Maryam Farhadizadeh Maria Weymann Michael Blaß Johann Kraus Christopher Gundler Sebastian Walter Noah Hempen Harald Binde Nadine Binder 34 0 0 11 May 2025
Emory Knee Radiograph (MRKR) Dataset Brandon Price Jason Adleberg Kaesha Thomas Z. Zaiman Aawez Mansuri Beatrice Brown-Mulry Chima Okecheukwu J. Gichoya Hari M. Trivedi 23 0 0 30 Oct 2024
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging Wenhua Wu Kun Hu Wenxi Yue Wei Li Milena Simic ChangYang Li Wei Xiang Zhiyong Wang MedIm 19 0 0 31 Jul 2024
Review of multimodal machine learning approaches in healthcare "Felix H. Krones Umar Marikkar Guy Parsons Adam Szmul Adam Mahdi 40 27 0 04 Feb 2024
A Closer Look at AUROC and AUPRC under Class Imbalance Matthew B. A. McDermott Lasse Hyldig Hansen Haoran Zhang Giovanni Angelotti Jack Gallifant 39 30 0 11 Jan 2024
Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis Fabi Prezja L. Annala Sampsa Kiiskinen Timo Ojala 28 7 0 10 Nov 2023
Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification Fabi Prezja L. Annala Sampsa Kiiskinen Suvi Lahtinen Timo Ojala 20 2 0 10 Nov 2023
Synthesizing Bidirectional Temporal States of Knee Osteoarthritis Radiographs with Cycle-Consistent Generative Adversarial Neural Networks Fabi Prezja L. Annala Sampsa Kiiskinen Suvi Lahtinen Timo Ojala MedIm 14 3 0 10 Nov 2023
Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review Yun Xin Teoh Alice Othmani Siew Li Goh Juliana Usman K. Lai 34 2 0 18 Aug 2023
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers E. Panfilov S. Saarakkala M. Nieminen A. Tiulpin 33 1 0 03 Jul 2023
Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments N. Bayramoglu M. Englund I. Haugen M. Ishijima S. Saarakkala AI4CE 15 3 0 10 May 2023
Evidence-aware multi-modal data fusion and its application to total knee replacement prediction Xinwen Liu Jing Wang S. Kevin Zhou Craig B. Engstrom Shekhar S. Chandra MedIm 31 3 0 24 Mar 2023
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data Huy Hoang Nguyen Matthew B. Blaschko S. Saarakkala A. Tiulpin MedIm AI4CE 48 15 0 25 Oct 2022
Multimodal Machine Learning in Precision Health Adrienne S. Kline Hanyin Wang Yikuan Li Saya Dennis M. Hutch Zhenxing Xu Fei Wang F. Cheng Yuan Luo 27 15 0 10 Apr 2022
UNet Architectures in Multiplanar Volumetric Segmentation -- Validated on Three Knee MRI Cohorts S. S. Sengar Christopher Meulengracht M. Boesen Anders Føhrby Overgaard H. Gudbergsen J. Nybing Erik Dam 18 2 0 15 Mar 2022
Integrated multimodal artificial intelligence framework for healthcare applications L. Soenksen Yu Ma C. Zeng L. Boussioux Kimberly Villalobos Carballo Liangyuan Na H. Wiberg Michael Lingzhi Li Ignacio Fuentes Dimitris Bertsimas 33 151 0 25 Feb 2022
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning E. Panfilov S. Saarakkala M. Nieminen A. Tiulpin MedIm 25 9 0 26 Jan 2022
Image prediction of disease progression by style-based manifold extrapolation T. Han Jakob Nikolas Kather F. Pedersoli M. Zimmermann S. Keil ... Fabian Kiessling Volkmar Schulz Christiane Kuhl S. Nebelung Daniel Truhn MedIm 24 3 0 22 Nov 2021
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting Huy Hoang Nguyen S. Saarakkala Matthew B. Blaschko A. Tiulpin MedIm AI4CE 17 8 0 08 Apr 2021
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs Huy Hoang Nguyen S. Saarakkala Matthew Blaschko A. Tiulpin 27 37 0 04 Mar 2020
Deep learning predicts total knee replacement from magnetic resonance images Aniket A. Tolpadi Jinhee J. Lee V. Pedoia S. Majumdar MedIm AI4CE 11 95 0 24 Feb 2020
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis N. Bayramoglu A. Tiulpin J. Hirvasniemi M. Nieminen S. Saarakkala 11 30 0 21 Aug 2019
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation E. Panfilov A. Tiulpin S. Klein M. Nieminen S. Saarakkala OOD 14 71 0 12 Aug 2019
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio R. Solovyev Iaroslav Melekhov Timo Lesonen Elias Vaattovaara O. Tervonen A. Tiulpin MedIm 11 16 0 08 Aug 2019
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks A. Tiulpin Iaroslav Melekhov S. Saarakkala 11 44 0 29 Jul 2019
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks A. Tiulpin S. Saarakkala 20 121 0 18 Jul 2019
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography A. Tiulpin M. Finnilä P. Lehenkari H. Nieminen S. Saarakkala 9 15 0 11 Jul 2019