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Chapter and Conference Paper
Exploring Bag of Words Architectures in the Facial Expression Domain
Automatic facial expression recognition (AFER) has undergone substantial advancement over the past two decades. This work explores the application of bag of words (BoW), a highly matured approach for object an...
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Chapter
Team IHMC’s Lessons Learned from the DARPA Robotics Challenge: Finding Data in the Rubble
This article presents a retrospective analysis of Team IHMC’s experience throughout the DARPA Robotics Challenge (DRC), where we took first or second place overall in each of the three phases. As an extremely ...
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Chapter and Conference Paper
Leveraging Motion Priors in Videos for Improving Human Segmentation
Despite many advances in deep-learning based semantic segmentation, performance drop due to distribution mismatch is often encountered in the real world. Recently, a few domain adaptation and active learning a...
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Article
The value of single-source dual-energy CT imaging for discriminating microsatellite instability from microsatellite stability human colorectal cancer
To demonstrate the value of single-source dual-energy computed tomography (ssDECT) imaging for discriminating microsatellite instability (MSI) from microsatellite stability (MSS) colorectal cancer (CRC).
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Article
Open AccessIndividualized discrimination of tumor recurrence from radiation necrosis in glioma patients using an integrated radiomics-based model
To develop and validate an integrated model for discriminating tumor recurrence from radiation necrosis in glioma patients.
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Article
Open AccessAfterload-related reference values for myocardial work indices
The novel noninvasive pressure-strain loop (PSL) is a reliable tool that reflects myocardial work (MW). Systolic blood pressure (SBP) is the only independent factor for MW indices. However, afterload-related r...
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Article
Multivariate radiomics models based on 18F-FDG hybrid PET/MRI for distinguishing between Parkinson’s disease and multiple system atrophy
To construct multivariate radiomics models using hybrid 18F-FDG PET/MRI for distinguishing between Parkinson’s disease (PD) and multiple system atrophy (MSA).
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Article
Nomogram development and validation to predict hepatocellular carcinoma tumor behavior by preoperative gadoxetic acid-enhanced MRI
Pretreatment evaluation of tumor biology and microenvironment is important to predict prognosis and plan treatment. We aimed to develop nomograms based on gadoxetic acid-enhanced MRI to predict microvascular i...
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Article
Open AccessEvaluating two respiratory correction methods for abdominal PET/MRI imaging
To evaluate two respiratory correction methods for abdominal PET/MRI images and further to analyse the effects on standard uptake values (SUVs) of respiratory motion correction, 17 patients with 25 abdominal l...
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Article
Improving the accuracy of prognosis for clinical stage I solid lung adenocarcinoma by radiomics models covering tumor per se and peritumoral changes on CT
To assess methods to improve the accuracy of prognosis for clinical stage I solid lung adenocarcinoma using radiomics based on different volumes of interests (VOIs).
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Reference Work Entry In depth
Engineered Nanopaper Electrode Array Fabrication and Biomedical Applications
Point of care testing (POC) has been increasingly crucial for disease diagnoses and monitoring. However, the existing conventional methods need large-scale instruments, complex procedures, and skilled operator...
