Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised
Knee Osteoarthritis Severity Grading from Plain Radiographs

v1v2v3 (latest)

Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs

4 March 2020

Huy Hoang Nguyen

Matthew Blaschko

ArXiv (abs)PDF HTML

Papers citing "Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs"

18 / 18 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 283 30,103 0 01 Mar 2022
Assessing Knee OA Severity with CNN attention-based end-to-end architectures Marc Górriz Joseph Antony Kevin McGuinness Xavier Giró-i-Nieto Noel E. O'Connor MedIm 51 46 0 23 Aug 2019
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks A. Tiulpin S. Saarakkala 47 122 0 18 Jul 2019
Virtual Mixup Training for Unsupervised Domain Adaptation Xudong Mao Yun Ma Zhenguo Yang Yangbin Chen Qing Li 85 53 0 10 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 145 3,033 0 06 May 2019
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data A. Tiulpin S. Klein S. Bierma-Zeinstra J. Thevenot Esa Rahtu J. Meurs E. H. Oei S. Saarakkala AI4CE 50 202 0 12 Apr 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Arno Solin Arno Solin Yoshua Bengio David Lopez-Paz 107 770 0 09 Mar 2019
MixUp as Locally Linear Out-Of-Manifold Regularization Hongyu Guo Yongyi Mao Richong Zhang 57 324 0 07 Sep 2018
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model Xiaomeng Li Lequan Yu Hao Chen Chi-Wing Fu Pheng-Ann Heng MedIm 60 135 0 12 Aug 2018
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 257 244 0 14 Jun 2018
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach A. Tiulpin J. Thevenot Esa Rahtu P. Lehenkari S. Saarakkala MedIm 55 468 0 29 Oct 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 282 9,797 0 25 Oct 2017
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks Joseph Antony Kevin McGuinness Kieran Moran Noel E. O'Connor MedIm 26 157 0 29 Mar 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 332 1,274 0 06 Mar 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 185 2,566 0 07 Oct 2016
Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks Joseph Antony Kevin McGuinness Noel E. O'Connor Kieran Moran MedIm 61 251 0 08 Sep 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 248 4,681 0 21 Dec 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.