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Sanelli P.
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Sanelli P.
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Sanelli P.
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1
Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning
by
Fang R.
,
Chen T.
,
Sanelli
P
.C.
Published 2018
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2
Sparsity-based deconvolution of low-dose brain perfusion CT in subarachnoid hemorrhage patients
by
Fang R.
,
Chen T.
,
Sanelli
P
.C.
Published 2018
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3
Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries
by
Fang R.
,
Chen T.
,
Sanelli
P
.C.
Published 2018
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4
Tissue-specific sparse deconvolution for low-dose CT perfusion.
by
Fang R.
,
Chen T.
,
Sanelli
P
.C.
Published 2018
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5
Tissue-specific sparse deconvolution for low-dose CT perfusion
by
Fang R.
,
Chen T.
,
Sanelli
P
.C.
Published 2018
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6
Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization
by
Fang R.
,
Zhang S.
,
Chen T.
,
Sanelli
P
.C.
Published 2018
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7
Tensor total-variation regularized deconvolution kegularlzea ueconvolution for efficient low-dose CT perfusion.
by
Fang R.
,
Sanelli
P
.C.
,
Zhang S.
,
Chen T.
Published 2018
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8
Tensor total-variation regularized deconvolution for efficient low-dose CT perfusion
by
Fang R.
,
Sanelli
P
.C.
,
Zhang S.
,
Chen T.
Published 2018
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9
Radiation dose reduction in computed tomography perfusion using spatial-temporal Bayesian methods
by
Fang R.
,
Raj A.
,
Chen T.
,
Sanelli
P
.C.
Published 2018
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10
Sparsity techniques in medical imaging
by
Fang R.
,
Chen T.
,
Metaxas D.
,
Sanelli
P
.
,
Zhang S.
Published 2018
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Editorial
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11
Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model
by
Fang R.
,
Karlsson K.
,
Chen T.
,
Sanelli
P
.C.
Published 2018
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