S. M. Reza Soroushmehr
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View article: Decision Support Systems in Temporomandibular Joint Osteoarthritis: A review of Data Science and Artificial Intelligence Applications
Decision Support Systems in Temporomandibular Joint Osteoarthritis: A review of Data Science and Artificial Intelligence Applications Open
View article: Transcranial Color-Coded Sonography With Angle Correction As a Screening Tool for Raised Intracranial Pressure
Transcranial Color-Coded Sonography With Angle Correction As a Screening Tool for Raised Intracranial Pressure Open
OBJECTIVES: Transcranial Doppler (TCD) has been evaluated as a noninvasive intracranial pressure (ICP) assessment tool. Correction for insonation angle, a potential source of error, with transcranial color-coded sonography (TCCS) has not p…
View article: Integrative risk predictors of temporomandibular joint osteoarthritis progression
Integrative risk predictors of temporomandibular joint osteoarthritis progression Open
In this paper we propose feature selection and machine learning approaches to identify a combination of features for risk prediction of Temporomandibular Joint (TMJ) disease progression. In a sample of 32 TMJ osteoarthritis and 38 controls…
View article: Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models Using Biological Privileged Information
Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models Using Biological Privileged Information Open
View article: Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR
Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR Open
The segmentation of medical and dental images is a fundamental step in automated clinical decision support systems. It supports the entire clinical workflow from diagnosis, therapy planning, intervention, and follow-up. In this paper, we p…
View article: Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models using Biological Privileged Information
Osteoarthritis Diagnosis Integrating Whole Joint Radiomics and Clinical Features for Robust Learning Models using Biological Privileged Information Open
This paper proposes a machine learning model using privileged information (LUPI) and normalized mutual information feature selection method (NMIFS) to build a robust and accurate framework to diagnose patients with Temporomandibular Joint …
View article: Adaptive search area for fast motion estimation
Adaptive search area for fast motion estimation Open
This paper suggests a new method for determining the search area for a motion estimation algorithm based on block matching. The search area is adaptively found in the proposed method for each frame block. This search area is similar to tha…
View article: A deep learning framework for automated detection and quantitative assessment of liver trauma
A deep learning framework for automated detection and quantitative assessment of liver trauma Open
View article: Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features Open
View article: Temporomandibular Joint Osteoarthritis Diagnosis Using Privileged Learning of Protein Markers
Temporomandibular Joint Osteoarthritis Diagnosis Using Privileged Learning of Protein Markers Open
Diagnosis of temporomandibular joint (TMJ) Osteoarthritis (OA) before serious degradation of cartilage and subchondral bone occurs can help prevent chronic pain and disability. Clinical, radiomic, and protein markers collected from TMJ OA …
View article: Automatic Segmentation of Mandibular Ramus and Condyles
Automatic Segmentation of Mandibular Ramus and Condyles Open
In order to diagnose TMJ pathologies, we developed and tested a novel algorithm, MandSeg, that combines image processing and machine learning approaches for automatically segmenting the mandibular condyles and ramus. A deep neural network …
View article: AngioNet: a convolutional neural network for vessel segmentation in X-ray angiography
AngioNet: a convolutional neural network for vessel segmentation in X-ray angiography Open
View article: Evaluating treatment-specific post-discharge quality-of-life and cost-effectiveness of TAVR and SAVR: Current practice & future directions
Evaluating treatment-specific post-discharge quality-of-life and cost-effectiveness of TAVR and SAVR: Current practice & future directions Open
While real-world experiences are less described, large-scale trials have advanced our understanding of recovery and cost-effectiveness of aortic valve replacement treatment strategies. Future work should focus on scalable wearable device t…
View article: Decision Support Systems in Temporomandibular Joint Osteoarthritis: A review of Data Science and Artificial Intelligence Applications
Decision Support Systems in Temporomandibular Joint Osteoarthritis: A review of Data Science and Artificial Intelligence Applications Open
View article: Clinical decision support systems in orthodontics: A narrative review of data science approaches
Clinical decision support systems in orthodontics: A narrative review of data science approaches Open
Advancements in technology and data collection generated immense amounts of information from various sources such as health records, clinical examination, imaging, medical devices, as well as experimental and biological data. Proper manage…
View article: Web infrastructure for data management, storage and computation
Web infrastructure for data management, storage and computation Open
The Data Storage for Computation and Integration (DSCI) proposes management innovations for web-based secure data storage, algorithms deployment, and task execution. Its architecture allows inclusion of plugins for upload, browsing, sharin…
View article: AngioNet: A Convolutional Neural Network for Vessel Segmentation in X-ray Angiography
AngioNet: A Convolutional Neural Network for Vessel Segmentation in X-ray Angiography Open
A bstract Coronary Artery Disease (CAD) is commonly diagnosed using X-ray angiography, in which images are taken as radio-opaque dye is flushed through the coronary vessels to visualize stenosis severity. Cardiologists typically use visual…
View article: Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers
Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers Open
View article: Automated Segmentation and Severity Analysis of Subdural Hematoma for Patients with Traumatic Brain Injuries
Automated Segmentation and Severity Analysis of Subdural Hematoma for Patients with Traumatic Brain Injuries Open
Detection and severity assessment of subdural hematoma is a major step in the evaluation of traumatic brain injuries. This is a retrospective study of 110 computed tomography (CT) scans from patients admitted to the Michigan Medicine Neuro…
View article: Novel Algorithm for Automated Optic Nerve Sheath Diameter Measurement Using a Clustering Approach
Novel Algorithm for Automated Optic Nerve Sheath Diameter Measurement Using a Clustering Approach Open
Introduction Using ultrasound to measure optic nerve sheath diameter (ONSD) has been shown to be a useful modality to detect elevated intracranial pressure. However, manual assessment of ONSD by a human operator is cumbersome and prone to …
View article: Predicting Poor Sleep Quality in Fibromyalgia with Wrist Sensors
Predicting Poor Sleep Quality in Fibromyalgia with Wrist Sensors Open
Fibromyalgia is a musculoskeletal disorder characterized by chronic, widespread muscle pain. This condition is associated with disturbed sleep, which has a direct impact on patient quality of life. Patient-reported outcomes are frequently …
View article: 3D Auto-Segmentation of Mandibular Condyles
3D Auto-Segmentation of Mandibular Condyles Open
Temporomandibular joints (TMJ) like a hinge connect the jawbone to the skull. TMJ disorders could cause pain in the jaw joint and the muscles controlling jaw movement. However, the disease cannot be diagnosed until it becomes symptomatic. …
View article: Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning
Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning Open
View article: Patient Specific Classification of Dental Root Canal and Crown Shape
Patient Specific Classification of Dental Root Canal and Crown Shape Open
View article: Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network
Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network Open
View article: Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries
Midline Shift vs. Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries Open
Traumatic brain injury (TBI) is a major health and socioeconomic problem globally that is associated with a high level of mortality. Early and accurate diagnosis and prognosis of TBI is important in patient management and preventing any se…
View article: Dense pooling layers in fully convolutional network for skin lesion segmentation
Dense pooling layers in fully convolutional network for skin lesion segmentation Open
View article: Gland Segmentation in Histopathology Images Using Deep Networks and\n Handcrafted Features
Gland Segmentation in Histopathology Images Using Deep Networks and\n Handcrafted Features Open
Histopathology images contain essential information for medical diagnosis and\nprognosis of cancerous disease. Segmentation of glands in histopathology images\nis a primary step for analysis and diagnosis of an unhealthy patient. Due to\nt…
View article: Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters\n Using Multi-Task Deep Learning
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters\n Using Multi-Task Deep Learning Open
Ultrasound imaging is a standard examination during pregnancy that can be\nused for measuring specific biometric parameters towards prenatal diagnosis and\nestimating gestational age. Fetal head circumference (HC) is one of the\nsignifican…
View article: Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features Open
Histopathology images contain essential information for medical diagnosis and prognosis of cancerous disease. Segmentation of glands in histopathology images is a primary step for analysis and diagnosis of an unhealthy patient. Due to the …