Resultados de búsqueda - Regularization parameter

Maximum Entropy Technique and Regularization Functional for Determining the Pharmacokinetic Parameters in DCE-MRI. por Amini Farsani, Zahra, Schmid, Volker J

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Genetic algorithm-based regularization parameter estimation for the inverse electrocardiography problem using multiple constraints. por Serinagaoglu Dogrusoz, Yesim, Mazloumi Gavgani, Alireza, Dogrusoz, Yesim Serinagaoglu, Gavgani, Alireza Mazloumi

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LASSO-Based Survival Prediction Modeling with Multiply Imputed Data: A Case Study in Tuberculosis Mortality Prediction. por Hossain, Md. Belal, Sadatsafavi, Mohsen, Johnston, James C., Wong, Hubert, Cook, Victoria J., Karim, Mohammad Ehsanul

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Selecting Penalty Parameters of High-Dimensional M-Estimators Using Bootstrapping after Cross Validation. por Chetverikov, Denis, Sørensen, Jesper Riis-Vestergaard

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Sparse-Group Boosting: Unbiased Group and Variable Selection. por Obster, Fabian, Heumann, Christian

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Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation. por Zhou, Xinkai, Heng, Qiang, Chi, Eric C., Zhou, Hua

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Deconstructing (ir)regularity. por Herce, Borja

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An adaptive Tikhonov regularization method for fluorescence molecular tomography. por Cao, Xu, Zhang, Bin, Wang, Xin, Liu, Fei, Liu, Ke, Luo, Jianwen, Bai, Jing

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Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers. por Mehranian, Abolfazl, Wollenweber, Scott D., Bradley, Kevin M., Fielding, Patrick A., Huellner, Martin, Iagaru, Andrei, Dedja, Meghi, Colwell, Theodore, Kotasidis, Fotis, Johnsen, Robert, Jansen, Floris P., McGowan, Daniel R.

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Reducing instability of inter-subject covariance of FDG uptake networks using structure-weighted sparse estimation approach. por Wang, Min, Schutte, Michael, Grimmer, Timo, Lizarraga, Aldana, Schultz, Thomas, Hedderich, Dennis M., Diehl-Schmid, Janine, Rominger, Axel, Ziegler, Sybille, Navab, Nassir, Yan, Zhuangzhi, Jiang, Jiehui, Yakushev, Igor, Shi, Kuangyu

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Clinical Evaluation of BSREM Reconstruction in Pediatric Oncology Using [18F]FDG PET/CT. por Shkumat, Nicholas A., Vali, Reza, Shammas, Amer

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Considerations in applying compressed sensing to in vivo phosphorus MR spectroscopic imaging of human brain at 3T. por Hatay, Gokce, Yildirim, Muhammed, Ozturk-Isik, Esin, Hatay, Gokce Hale

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Efficient Sensitivity Based Reconstruction Technique to Accomplish Breast Hyperelastic Elastography. por Dastjerdi, Maryam Mehdizadeh, Fallah, Ali, Rashidi, Saeid

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Considering the Purposes of Moral Education with Evidence in Neuroscience: Emphasis on Habituation of Virtues and Cultivation of Phronesis. por Han, Hyemin

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A Cross-lagged Panel Network Analysis of the Relationship Between Emotion Regulation Difficulties and Problematic TikTok Use. por Yao, Nisha, Chen, Jing, Elhai, Jon D.

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Unveiling the factors of aesthetic preferences with explainable AI. por Soydaner, Derya, Wagemans, Johan

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Comparing Transdiagnostic Risk Factors: Predicting Emergence of Significant Depressive, Anxiety, and Substance Abuse Symptoms Among Juvenile Delinquents. por Klein, Robert J., Lekkas, Damien, Nguyen, Nhi D., Jacobson, Nicholas C.

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Multi-parametric magnetic resonance imaging-based radiomics for differentiation of skull base osteomyelitis from locally advanced nasopharyngeal carcinoma: a multi-center external... por Atak, Fırat, Avcı, Hanife, Pekçevik, Yeliz, Karaosmanoğlu, Ayça

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Advanced fusion network for detecting and grading macular edema in diabetic patients. por Kotteeswari, C., Sangeethaa, S. N., Jothimani, S.

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Explainable Machine Learning to Understand the Social and Biological Determinants of Type 2 Diabetes in Mexico. por Daniel Cervantes-Guerrero, Mario, Galván-Tejada, Carlos E., Cruz, Miguel, Galván-Tejada, Jorge I., Barros, Rodrigo C., Kupssinskü, Lucas

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