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07/26/2023
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities
Purpose: Obtaining manual annotations to train deep learning (DL) models...
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07/21/2023
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography
Osteoporosis is a prevalent bone disease that causes fractures in fragil...
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05/31/2023
MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume
Musculoskeletal diseases such as sarcopenia and osteoporosis are major o...
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03/27/2023
Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping
This paper presents a fully-automated method for the identification of s...
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07/07/2022
BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning
We propose a method for estimating the bone mineral density (BMD) from a...
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01/09/2022
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty
This paper proposes a segmentation method of infection regions in the lu...
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01/09/2022
Lung infection and normal region segmentation from CT volumes of COVID-19 cases
This paper proposes an automated segmentation method of infection and no...
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12/21/2020
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network
Purpose: To apply a convolutional neural network (CNN) to develop a syst...
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11/16/2019
Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration
Fluoroscopy is the standard imaging modality used to guide hip surgery a...
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10/29/2019
Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph
With the increasing usage of radiograph images as a most common medical ...
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10/26/2019
Estimation of Pelvic Sagittal Inclination from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study
Alignment of the bones in standing position provides useful information ...
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10/22/2019
Fast and Automatic Periacetabular Osteotomy Fragment Pose Estimation Using Intraoperatively Implanted Fiducials and Single-View Fluoroscopy
Accurate and consistent mental interpretation of fluoroscopy to determin...
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09/23/2019
Pelvis Surface Estimation From Partial CT for Computer-Aided Pelvic Osteotomies
Computer-aided surgical systems commonly use preoperative CT scans when ...
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09/23/2019
Smooth Extrapolation of Unknown Anatomy via Statistical Shape Models
Several methods to perform extrapolation of unknown anatomy were evaluat...
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07/21/2019
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalization of a Musculoskeletal Model
We propose a method for automatic segmentation of individual muscles fro...
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06/27/2019
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction
In total hip arthroplasty, analysis of postoperative medical images is i...
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03/22/2019
Pose Estimation of Periacetabular Osteotomy Fragments with Intraoperative X-Ray Navigation
Objective: State of the art navigation systems for pelvic osteotomies us...
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09/06/2018
Dynamic Block Matching to assess the longitudinal component of the dense motion field of the carotid artery wall in B-mode ultrasound sequences - Association with coronary arte
Purpose: The motion of the common carotid artery tissue layers along the...
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03/18/2018