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07/03/2023
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers
Knee Osteoarthritis (KOA) is a highly prevalent chronic musculoskeletal ...
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10/26/2022
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning
This paper addresses the challenge of grading visual features in lumbar ...
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10/25/2022
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data
Deep neural networks are often applied to medical images to automate the...
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08/25/2022
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices
The eigendecomposition of a matrix is the central procedure in probabili...
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05/05/2022
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching
This paper tackles the challenge of forensic medical image matching (FMI...
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01/26/2022
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning
Accurate prediction of knee osteoarthritis (KOA) progression from struct...
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06/08/2021
Targeted Active Learning for Bayesian Decision-Making
Active learning is usually applied to acquire labels of informative data...
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05/29/2021
Greedy Bayesian Posterior Approximation with Deep Ensembles
Ensembles of independently trained neural networks are a state-of-the-ar...
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04/08/2021
DeepProg: A Transformer-based Framework for Predicting Disease Prognosis
A vast majority of deep learning methods are built to automate diagnosti...
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12/04/2020
Deep Learning for Wrist Fracture Detection: Are We There Yet?
Wrist Fracture is the most common type of fracture with a high incidence...
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03/04/2020
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs
Knee osteoarthritis (OA) is one of the highest disability factors in the...
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08/21/2019
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis
The purposes of this study were to investigate: 1) the effect of placeme...
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08/12/2019
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
Degeneration of articular cartilage (AC) is actively studied in knee ost...
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08/08/2019
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio
Cardiothoratic ratio (CTR) estimated from chest radiographs is a marker ...
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07/29/2019
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks
This paper addresses the challenge of localization of anatomical landmar...
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07/18/2019
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks
Knee osteoarthritis (OA) is the most common musculoskeletal disease in t...
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07/11/2019
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography
Three-dimensional (3D) semi-quantitative grading of pathological feature...
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05/05/2019
Breast Tumor Cellularity Assessment using Deep Neural Networks
Breast cancer is one of the main causes of death worldwide. Histopatholo...
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04/12/2019
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
Knee osteoarthritis (OA) is the most common musculoskeletal disease with...
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10/19/2018
DGC-Net: Dense Geometric Correspondence Network
This paper addresses the challenge of dense pixel correspondence estimat...
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10/29/2017
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
Knee osteoarthritis (OA) is the most common musculoskeletal disorder. OA...
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01/31/2017