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Automatic Grading of Individual Knee Osteoarthritis Features in Plain
  Radiographs using Deep Convolutional Neural Networks

Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks

18 July 2019
A. Tiulpin
S. Saarakkala
ArXivPDFHTML

Papers citing "Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks"

12 / 12 papers shown
Title
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis
  Progression in Radiographic Imaging
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
Shifting Focus: From Global Semantics to Local Prominent Features in
  Swin-Transformer for Knee Osteoarthritis Severity Assessment
Shifting Focus: From Global Semantics to Local Prominent Features in Swin-Transformer for Knee Osteoarthritis Severity Assessment
Aymen Sekhri
Marouane Tliba
M. A. Kerkouri
Yassine Nasser
Aladine Chetouani
Alessandro Bruno
Rachid Jennane
34
0
0
15 Mar 2024
Exploring the Efficacy of Base Data Augmentation Methods in Deep
  Learning-Based Radiograph Classification of Knee Joint Osteoarthritis
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
22
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
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
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
Automatic diagnosis of knee osteoarthritis severity using Swin
  transformer
Automatic diagnosis of knee osteoarthritis severity using Swin transformer
Aymen Sekhri
Marouane Tliba
M. A. Kerkouri
Yassine Nasser
A. Chetouani
Alessandro Bruno
R. Jennane
13
5
0
10 Jul 2023
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory
  Forecasting from Multimodal Data
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
Knee arthritis severity measurement using deep learning: a publicly
  available algorithm with a multi-institutional validation showing
  radiologist-level performance
Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance
Han Gu
Keyu Li
R. Colglazier
Jichen Yang
Michael Lebhar
...
R. French
Nicholas Said
Jikai Zhang
Christine Park
Maciej Mazurowski
9
2
0
16 Mar 2022
Temporal Context Matters: Enhancing Single Image Prediction with Disease
  Progression Representations
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
Aishik Konwer
Xuan Xu
Joseph Bae
Chaoyu Chen
Prateek Prasanna
MedIm
36
15
0
02 Mar 2022
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised
  Knee Osteoarthritis Severity Grading from Plain Radiographs
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
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup
  and Adversarial Domain Adaptation
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
78
0
12 Aug 2019
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks
A. Tiulpin
Iaroslav Melekhov
S. Saarakkala
11
44
0
29 Jul 2019
1