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Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion

European radiology, 2020-09, Vol.30 (9), p.5183-5190

2020

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Automated segmentation of prostate zonal anatomy on T2‐weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U‐Nets

Medical physics (Lancaster), 2019-07, Vol.46 (7), p.3078-3090

2019

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Fully Automated Deep Learning-Based Renal Mass Detection on Multi-Parametric MRI

IEEE access, 2024, Vol.12, p.112714-112728

2024

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Evaluation of Finger Flexion Classification at Reduced Lateral Spatial Resolutions of Ultrasound

IEEE access, 2021, Vol.9, p.24105-24118

2021

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Machine Learning Diagnosis of Hypertrophic Disease States FBom Native T1 and Extracellular Volume Mapping Using a Fully Automated Radiomics Pipeline

Journal of cardiovascular magnetic resonance, 2024, Vol.26, p.100742, Article 100742

2024

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Assessment of left atrial fibrosis progression in canines following rapid ventricular pacing using 3D late gadolinium enhanced CMR images

PloS one, 2022-07, Vol.17 (7), p.e0269592-e0269592

2022

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Ensemble U‐net‐based method for fully automated detection and segmentation of renal masses on computed tomography images

Medical physics (Lancaster), 2020-09, Vol.47 (9), p.4032-4044

2020

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Convolutional neural network‐based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images

Medical physics (Lancaster), 2019-04, Vol.46 (4), p.1740-1751

2019

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Automated 3D U‐net based segmentation of neonatal cerebral ventricles from 3D ultrasound images

Medical physics (Lancaster), 2022-02, Vol.49 (2), p.1034-1046

2022

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Fully automated localization of prostate peripheral zone tumors on apparent diffusion coefficient map MR images using an ensemble learning method

Journal of magnetic resonance imaging, 2020-04, Vol.51 (4), p.1223-1234

2020

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Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi‐planar U‐Net (CMPU‐Net)

Medical physics (Lancaster), 2020-04, Vol.47 (4), p.1645-1655

2020

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Pulmonary nodule detection in low dose computed tomography using a medical-to-medical transfer learning approach

Journal of medical imaging (Bellingham, Wash.), 2024-07, Vol.11 (4)

2024

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Evaluation of fully automated myocardial segmentation techniques in native and contrast‐enhanced T1‐mapping cardiovascular magnetic resonance images using fully convolutional neural networks

Medical physics (Lancaster), 2021-01, Vol.48 (1), p.215-226

2021

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Cascaded Triplanar Autoencoder M-Net for Fully Automatic Segmentation of Left Ventricle Myocardial Scar From Three-Dimensional Late Gadolinium-Enhanced MR Images

IEEE journal of biomedical and health informatics, 2022-06, Vol.26 (6), p.2582-2593

2022

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A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images

IEEE transactions on medical imaging, 2020-09, Vol.39 (9), p.2844-2855

2020

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119 An MRI-Based Convolutional Neural Network to Predict Biochemical Recurrence Following Radiotherapy for Intermediate and High Risk Localized Prostate Cancer

Radiotherapy and oncology, 2023-09, Vol.186, p.S55

2023

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Automated aortic segmentation and quantification of hemodynamic parameters from 4D flow MRI using deep learning techniques

Journal of medical imaging (Bellingham, Wash.), 2023-11, Vol.10 (6)

2023

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Fully automated detection of prostate transition zone tumors on T2‐weighted and apparent diffusion coefficient (ADC) map MR images using U‐Net ensemble

Medical physics (Lancaster), 2021-11, Vol.48 (11), p.6889-6900

2021

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Semi‐supervised learning framework with shape encoding for neonatal ventricular segmentation from 3D ultrasound

Medical physics (Lancaster), 2024-09, Vol.51 (9), p.6134-6148

2024

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Machine learning can appropriately classify the collimation of ventrodorsal and dorsoventral thoracic radiographic images of dogs and cats

American journal of veterinary research, 2023-07, Vol.84 (7)

2023

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Kiosk 6R-FC-02 - Machine Learning Diagnosis of Hypertrophic Disease States FBom Native T1 and Extracellular Volume Mapping Using a Fully Automated Radiomics Pipeline

Journal of cardiovascular magnetic resonance, 2024, Vol.26

2024

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Prostate Segmentation: An Efficient Convex Optimization Approach With Axial Symmetry Using 3-D TRUS and MR Images

IEEE transactions on medical imaging, 2014-04, Vol.33 (4), p.947-960

2014

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Automated segmentation and measurement of the female pelvic floor from the mid-sagittal plane of 3D ultrasound volumes

Medical physics (Lancaster), 2023-10, Vol.50 (10), p.6215-6227

2023

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Detection of COVID-19 from chest x-ray images using transfer learning

Journal of medical imaging (Bellingham, Wash.), 2021-01, Vol.8 (Suppl 1), p.017503-017503

2021

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Automated detection of microscopic placental features indicative of maternal vascular malperfusion using machine learning

Placenta (Eastbourne), 2024-01, Vol.145, p.19-26

2024

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Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion

Automated segmentation of prostate zonal anatomy on T2‐weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U‐Nets

Fully Automated Deep Learning-Based Renal Mass Detection on Multi-Parametric MRI

Evaluation of Finger Flexion Classification at Reduced Lateral Spatial Resolutions of Ultrasound

Machine Learning Diagnosis of Hypertrophic Disease States FBom Native T1 and Extracellular Volume Mapping Using a Fully Automated Radiomics Pipeline

Assessment of left atrial fibrosis progression in canines following rapid ventricular pacing using 3D late gadolinium enhanced CMR images

Ensemble U‐net‐based method for fully automated detection and segmentation of renal masses on computed tomography images

Convolutional neural network‐based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images

Automated 3D U‐net based segmentation of neonatal cerebral ventricles from 3D ultrasound images

Fully automated localization of prostate peripheral zone tumors on apparent diffusion coefficient map MR images using an ensemble learning method

Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi‐planar U‐Net (CMPU‐Net)

Pulmonary nodule detection in low dose computed tomography using a medical-to-medical transfer learning approach

Evaluation of fully automated myocardial segmentation techniques in native and contrast‐enhanced T1‐mapping cardiovascular magnetic resonance images using fully convolutional neural networks

Cascaded Triplanar Autoencoder M-Net for Fully Automatic Segmentation of Left Ventricle Myocardial Scar From Three-Dimensional Late Gadolinium-Enhanced MR Images

A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images

119 An MRI-Based Convolutional Neural Network to Predict Biochemical Recurrence Following Radiotherapy for Intermediate and High Risk Localized Prostate Cancer

Automated aortic segmentation and quantification of hemodynamic parameters from 4D flow MRI using deep learning techniques

Fully automated detection of prostate transition zone tumors on T2‐weighted and apparent diffusion coefficient (ADC) map MR images using U‐Net ensemble

Semi‐supervised learning framework with shape encoding for neonatal ventricular segmentation from 3D ultrasound

Machine learning can appropriately classify the collimation of ventrodorsal and dorsoventral thoracic radiographic images of dogs and cats

Kiosk 6R-FC-02 - Machine Learning Diagnosis of Hypertrophic Disease States FBom Native T1 and Extracellular Volume Mapping Using a Fully Automated Radiomics Pipeline

Prostate Segmentation: An Efficient Convex Optimization Approach With Axial Symmetry Using 3-D TRUS and MR Images

Automated segmentation and measurement of the female pelvic floor from the mid-sagittal plane of 3D ultrasound volumes

Detection of COVID-19 from chest x-ray images using transfer learning

Automated detection of microscopic placental features indicative of maternal vascular malperfusion using machine learning

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