about
Detection of urinary bladder mass in CT urography with SPAN.Treatment Response Assessment for Bladder Cancer on CT Based on Computerized Volume Analysis, World Health Organization Criteria, and RECIST.Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.Urinary bladder segmentation in CT urography (CTU) using CLASS.CT urography: segmentation of urinary bladder using CLASS with local contour refinement.Ureter tracking and segmentation in CT urography (CTU) using COMPASS.Urinary Bladder Cancer Staging in CT Urography using Machine Learning.Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.Computer-aided detection of retained surgical needles from postoperative radiographs.Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning.Bladder cancer treatment response assessment using deep learning in CT with transfer learningComputer-aided detection of bladder masses in CT urography (CTU)Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancerSegmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urographyAutomatic detection of ureter lesions in CT urographyAutomatic staging of bladder cancer on CT urographyComparison of bladder segmentation using deep-learning convolutional neural network with and without level setsComputer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU)Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesisFirst and second-order features for detection of masses in digital breast tomosynthesisReference state estimation of breast computed tomography for registration with digital mammographyComputer-aided detection of bladder mass within contrast-enhanced region of CTUUreter segmentation in CT urography (CTU) by COMPASS with multiscale Hessian enhancementComparison of CLASS and ITK-SNAP in segmentation of urinary bladder in CT urographySegmentation of urinary bladder in CT urography (CTU) using CLASS with enhanced contour conjoint procedureEvaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learningPROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images
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description
onderzoeker
@nl
researcher ORCID ID = 0000-0003-3847-7448
@en
name
Kenny H Cha
@ast
Kenny H Cha
@en
Kenny H Cha
@nl
type
label
Kenny H Cha
@ast
Kenny H Cha
@en
Kenny H Cha
@nl
prefLabel
Kenny H Cha
@ast
Kenny H Cha
@en
Kenny H Cha
@nl
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0000-0003-3847-7448