M-PSGP: a momentum-based proximal scaled gradient projection algorithm for nonsmooth optimization with application to image deblurring. [PDF]
Ning K, Lü Q, Liao X.
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Biparametric magnetic resonance imaging-based radiomic and deep learning models for predicting Ki-67 risk stratification in hepatocellular carcinoma. [PDF]
Zuo XY, Liu HF.
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Machine learning integrating MRI and clinical features predicts early recurrence of hepatocellular carcinoma after resection. [PDF]
Feng L +7 more
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Efficient parameter identification using nonsmooth and nonconvex regularization for inverse problem of diffuse optical tomography. [PDF]
Tang J, Bi B.
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Signal and Information Processing in Networks. [PDF]
Feng M, Deng LJ, Chen F.
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Covariate-assisted bounds on causal effects with instrumental variables. [PDF]
Levis AW +4 more
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Multiparametric MRI-Based Machine Learning Radiomics Prognostic Models for Multifocal Hepatocellular Carcinoma Beyond Milan Criteria: A Retrospective Study. [PDF]
Liang X +5 more
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Comment on "Do we need flexible machine-learning algorithms to assess the effect of long-term exposure to fine particulate matter on mortality?" [PDF]
Williams N, Rudolph KE, Díaz I.
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Prognostic and predictive imaging markers of hepatocellular carcinoma: a pictorial essay. [PDF]
Deyirmendjian C +12 more
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DeepConf: Leveraging ANI-ML Potentials for Exploring Local Minima with Application to Bioactive Conformations. [PDF]
Tayfuroglu O +3 more
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