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01/05/2022
Lumbar Bone Mineral Density Estimation from Chest X-ray Images: Anatomy-aware Attentive Multi-ROI Modeling
Osteoporosis is a common chronic metabolic bone disease that is often un...
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12/16/2021
Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis
Knee osteoarthritis (OA) is a common degenerate joint disorder that affe...
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04/29/2021
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph
Landmark localization plays an important role in medical image analysis....
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04/07/2021
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
3D delineation of anatomical structures is a cardinal goal in medical im...
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04/05/2021
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray
Osteoporosis is a common chronic metabolic bone disease that is often un...
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03/24/2021
Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images
Bone mineral density (BMD) is a clinically critical indicator of osteopo...
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12/30/2020
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays
Exploiting available medical records to train high performance computer-...
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12/14/2020
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-constrained Optimization
Accurate vertebra localization and identification are required in many c...
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12/07/2020
A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation
Object detection methods are widely adopted for computer-aided diagnosis...
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12/04/2020
Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images
Radiological images such as computed tomography (CT) and X-rays render a...
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12/02/2020
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
Accurate segmentation of anatomical structures is vital for medical imag...
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09/11/2020
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies
CXRs are a crucial and extraordinarily common diagnostic tool, leading t...
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07/06/2020
Learning to Segment Anatomical Structures Accurately from One Exemplar
Accurate segmentation of critical anatomical structures is at the core o...
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07/03/2020
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images
Visual cues of enforcing bilaterally symmetric anatomies as normal findi...
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04/17/2020
Structured Landmark Detection via Topology-Adapting Deep Graph Learning
Image landmark detection aims to automatically identify the locations of...
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04/16/2020
Unsupervised Learning of Landmarks based on Inter-Intra Subject Consistencies
We present a novel unsupervised learning approach to image landmark disc...
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09/04/2019
Weakly Supervised Universal Fracture Detection in Pelvic X-rays
Hip and pelvic fractures are serious injuries with life-threatening comp...
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06/11/2018
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
Automatic parsing of anatomical objects in X-ray images is critical to m...
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11/22/2017
Dilated FCN for Multi-Agent 2D/3D Medical Image Registration
2D/3D image registration to align a 3D volume and 2D X-ray images is a c...
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11/30/2016
An Artificial Agent for Robust Image Registration
3-D image registration, which involves aligning two or more images, is a...
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07/27/2015
