Automated and real-time segmentation of suspicious breast masses using convolutional neural network

Viksit Kumar, Jeremy Webb, Adriana Gregory, +6

PLoS ONE

Convolutional Neural NetworkBreast MassesSegment Breast MassesEngineeringDigital Pathology +21

Automated Segmentation of Thyroid Nodule, Gland, and Cystic Components From Ultrasound Images Using Deep Learning

Viksit Kumar, Jeremy Webb, Adriana Gregory, +5

IEEE Access

A conformable phased-array ultrasound patch for bladder volume monitoring

Lin Zhang, Colin Marcus, Dabin Lin, +18

Nature Electronics

Biomedical AcousticsMedical UltrasoundUrologyEngineeringMedical Imaging +3

Viscoelastic parameters as discriminators of breast masses: Initial human study results

Viksit Kumar, Max Denis, Adriana Gregory, +5

PLoS ONE

Liver Fat Quantification With Ultrasound: Depth Dependence of Attenuation Coefficient

Giovanna Ferraioli, Ambra Raimondi, Laura Maiocchi, +4

Journal of Ultrasound in Medicine

Ultrasonic Attenuation and Backscatter Coefficient Estimates of Rodent-Tumor-Mimicking Structures: Comparison of Results among Clinical Scanners

Kibo Nam, Iván M. Rosado-Méndez, Lauren A. Wirtzfeld, +10

Ultrasonic Imaging

Cross-imaging system comparison of backscatter coefficient estimates from a tissue-mimicking material

Kibo Nam, Iván M. Rosado-Méndez, Lauren A. Wirtzfeld, +10

The Journal of the Acoustical Society of America

Computed TomographyImage ReconstructionMedical UltrasoundEngineeringQuantitative Ultrasound Techniques +22

Correlation of ultrasound bladder vibrometry assessment of bladder compliance with urodynamic study results

Mahdi Bayat, Viksit Kumar, Max Denis, +8

PLoS ONE

[18F]-Alfatide PET imaging of integrin αvβ3 for the non-invasive quantification of liver fibrosis

Tuo Shao, Zhen Chen, Vasily Belov, +13

Journal of Hepatology

Liver FibrosisPathologyBiomedical EngineeringPositron Emission TomographyIntegrin αVβ3 +14

Differentiation of Benign and Malignant Thyroid Nodules by Using Comb-push Ultrasound Shear Elastography

Adriana Gregory, Mahdi Bayat, Viksit Kumar, +9

Academic Radiology