A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for
Radiological Osteoarthritis Detection

A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection

24 May 2020

Papers citing "A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection"

9 / 9 papers shown

Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 160 42,038 0 03 Dec 2019
Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images Jaynal Abedin Joseph Antony Kevin McGuinness Kieran Moran Noel E. O'Connor Dietrich-Rebholz Schuhmann J. Newell 29 68 0 23 Aug 2019
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 38 46 0 23 Aug 2019
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis N. Bayramoglu A. Tiulpin J. Hirvasniemi M. Nieminen S. Saarakkala 34 30 0 21 Aug 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 69 794 0 25 Apr 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 72 2,647 0 29 Nov 2018
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach A. Tiulpin J. Thevenot Esa Rahtu P. Lehenkari S. Saarakkala MedIm 40 463 0 29 Oct 2017
Improved Bilinear Pooling with CNNs Tsung-Yu Lin Subhransu Maji 38 199 0 21 Jul 2017
Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks Joseph Antony Kevin McGuinness Noel E. O'Connor Kieran Moran MedIm 29 250 0 08 Sep 2016