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PURPOSE To propose and evaluate P-LORAKS a new calibrationless parallel imaging reconstruction framework. THEORY AND METHODS LORAKS is a flexible and powerful framework that was recently proposed for constrained MRI reconstruction. LORAKS was based on the observation that certain matrices constructed from fully sampled k-space data should have low rank(More)
BACKGROUND ABCG2 is a member of the ATP binding cassette (ABC) transporter superfamily and identified to play an important role in multidrug resistance in many studies. But the expression of ABCG2 is controversial in many kinds of tumors including colorectal cancer (CRC). OBJECTIVE To clarify the expression patterns of ABCG2 and elucidate the prognostic(More)
Most of the sequence tagging tasks in natural language processing require to recognize segments with certain syntactic role or semantic meaning in a sentence. They are usually tackled with Conditional Random Fields (CRFs), which do indirect word-level modeling over word-level features and thus cannot make full use of segment-level information. Semi-Markov(More)
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