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xi | |
Preface |
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xiii | |
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1 | (8) |
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6 | (3) |
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2 Artificial Kidney: The New Challenge |
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9 | (18) |
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9 | (2) |
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2.2 Kidney Transplantation Statistics |
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11 | (1) |
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2.3 Transplantation Costs |
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12 | (1) |
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2.4 Post-Transplant Costs |
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12 | (1) |
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2.5 Renal Replacement Devices |
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13 | (3) |
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2.6 Implantable Artificial Kidney: Prototype Developments |
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16 | (1) |
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2.7 Kidney Tissue Engineering |
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17 | (3) |
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20 | (1) |
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21 | (6) |
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22 | (1) |
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23 | (4) |
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3 Current Status and New Challenges of the Artificial Liver |
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27 | (28) |
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27 | (1) |
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3.2 Non-Biological Artificial Liver |
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28 | (7) |
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3.2.1 Classification and Clinical Study |
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29 | (1) |
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29 | (1) |
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3.2.2.1 High-Volume Therapeutic PE |
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29 | (1) |
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3.2.2.2 High-Flow Dialysate Continuous HDF |
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29 | (1) |
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3.2.2.3 PE with Online HDF |
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30 | (1) |
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3.2.3 Blood Purification with Albumin Dialysis |
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30 | (1) |
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3.2.3.1 Single-Pass Albumin Dialysis |
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30 | (1) |
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3.2.3.2 Molecular Adsorbent Recirculating System |
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31 | (1) |
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3.2.3.3 Fractionated Plasma Separation and Adsorption (PrometheusTM) |
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32 | (1) |
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32 | (1) |
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3.2.4 Selective Plasma Filtration Therapy |
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32 | (1) |
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3.2.4.1 Biologic-Detoxifilter/Plasma Filter |
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32 | (1) |
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3.2.4.2 Selective Plasma-Exchange Therapy |
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32 | (1) |
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3.2.4.3 Plasma Filtration with Dialysis |
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33 | (1) |
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3.2.5 Clinical Observations of Various Combinations |
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33 | (2) |
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35 | (5) |
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3.3.1 Bioartificial Liver Support System |
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35 | (2) |
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3.3.2 Cell Source for BAL |
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37 | (3) |
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3.4 New Stream for Artificial Liver |
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40 | (3) |
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3.4.1 Tissue Engineering for Liver Construction |
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40 | (1) |
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3.4.2 Whole Organ Engineering for the Transplantable Artificial Liver |
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41 | (2) |
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3.5 Conclusion and Future Trends |
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43 | (12) |
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44 | (1) |
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45 | (10) |
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4 A Chemical Engineering Perspective on Blood Oxygenators |
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55 | (20) |
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55 | (2) |
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57 | (3) |
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4.3 Chemical Engineering Principles in Blood Oxygenators |
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60 | (5) |
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4.4 Chemical Engineering Process Analogues of ECMO Systems |
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65 | (2) |
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67 | (2) |
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69 | (6) |
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69 | (1) |
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69 | (6) |
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5 Model Predictive Control for the Artificial Pancreas |
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75 | (22) |
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75 | (3) |
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5.2 Phenomenological Models |
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78 | (7) |
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5.2.1 Background and Two-Compartmental Models |
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78 | (1) |
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5.2.2 Three-Compartment Models |
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79 | (6) |
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85 | (5) |
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90 | (7) |
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91 | (1) |
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92 | (5) |
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6 Multiscale Synthetic Biology: From Molecules to Ecosystems |
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97 | (22) |
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6.1 Introduction: An Historical-Epistemological Perspective |
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97 | (2) |
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99 | (12) |
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6.2.1 Protein Synthetic Biology |
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99 | (9) |
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6.2.2 Tissue Engineering and Artificial Organs |
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108 | (1) |
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6.2.3 Biotechnology and Ecology Applications |
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109 | (2) |
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111 | (8) |
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112 | (1) |
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112 | (7) |
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7 Chemical Reaction Engineering Methodologies for Biomedical Imaging Analysis |
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119 | (26) |
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119 | (1) |
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7.2 Magnetic Resonance Imaging (MRI) |
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119 | (4) |
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120 | (1) |
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121 | (1) |
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7.2.3 MRI using Magnetization Transfer |
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122 | (1) |
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7.3 Positron Emission Tomography (PET) and Single Photon Emission Computed Tomography (SPECT) |
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123 | (3) |
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123 | (2) |
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125 | (1) |
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126 | (5) |
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7.4.1 Fluorescent Proteins |
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126 | (2) |
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7.4.2 Small Organic Fluorophores |
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128 | (3) |
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131 | (14) |
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131 | (1) |
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132 | (13) |
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8 Noninvasive and Label-Free Characterization of Cells for Tissue Engineering Purposes |
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145 | (30) |
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145 | (1) |
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8.2 Multivariate Analyses |
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146 | (3) |
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8.2.1 Principal Component Analysis (PCA) |
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147 | (1) |
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8.2.2 Linear Discriminant Analysis (LDA) |
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148 | (1) |
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8.2.3 Hierarchical Clustering Analysis (HCA) |
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148 | (1) |
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8.2.4 Other Multivariate Analyses |
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149 | (1) |
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8.3 Vibrational Spectroscopic Features |
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149 | (3) |
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8.3.1 Cell Characterization Based on Whole-Cell Analysis by Raman Spectroscopy |
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152 | (1) |
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8.3.2 Cell Characterization Based on Subcellular Analysis by Raman Spectroscopy |
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153 | (4) |
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8.3.3 Raman-Based Cell Characterization Toward Biomedical Applications |
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157 | (3) |
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8.4 Morphological Features |
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160 | (105) |
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8.4.1 Cell Characterization Based on Unstained Microscopic Images of Single Cells |
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160 | (2) |
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8.4.2 Cell Characterization Based on Unstained Microscopic Images of Cell Populations |
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162 | (3) |
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8.5 Secreted Molecule Features |
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165 | (1) |
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8.5.1 Cell Characterization Based on Response Signatures |
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165 | (2) |
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8.6 Conclusion and Outlook |
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167 | (8) |
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168 | (1) |
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168 | (7) |
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9 TMS-EEG: Methods and Challenges in the Analysis of Brain Connectivity |
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175 | (24) |
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175 | (6) |
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9.1.1 Transcranial Magnetic Stimulation |
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175 | (1) |
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9.1.2 Electroencephalography |
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176 | (2) |
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9.1.3 Combined TMS and Electroencephalography |
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178 | (1) |
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178 | (2) |
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9.1.5 Artifacts and Their Prevention |
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180 | (1) |
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9.2 Signal Processing Methods |
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181 | (3) |
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181 | (1) |
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9.2.2 Connectivity Analysis Methods in TMS-EEG |
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182 | (1) |
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9.2.3 Time Domain Methods |
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183 | (1) |
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9.2.4 Frequency Domain Methods |
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183 | (1) |
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9.3 TMS-EEG Applications in Studies of Connectivity |
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184 | (5) |
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184 | (1) |
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9.3.2 TMS-Evoked Potentials (TEPs) |
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185 | (1) |
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9.3.3 TMS-Induced Oscillations |
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186 | (1) |
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9.3.4 Clinical Perspectives |
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187 | (1) |
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9.3.4.1 Alzheimer's Disease |
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187 | (1) |
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188 | (1) |
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9.3.4.3 Disorders of Consciousness |
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189 | (1) |
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9.4 Conclusions and Future Trends |
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189 | (10) |
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190 | (1) |
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190 | (9) |
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10 Thermal Treatments of Tumors: Principles and Methods |
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199 | (30) |
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199 | (1) |
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10.2 Effects of Temperature on Living Tissue |
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199 | (4) |
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10.2.1 Hyperthermal Tissue Destruction |
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200 | (2) |
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10.2.2 Cold Temperature for Tissue Destruction |
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202 | (1) |
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10.3 Physical Principles of Thermal Treatments |
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203 | (6) |
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10.3.1 Hyperthermal Treatments |
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203 | (1) |
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10.3.1.1 High-Intensity Focused Ultrasound Ablation |
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203 | (1) |
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10.3.1.2 Radiofrequency Ablation (RFA) |
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204 | (1) |
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10.3.1.3 Microwave Ablation (MWA) |
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205 | (1) |
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10.3.1.4 Laser Ablation (LA) |
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206 | (1) |
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207 | (2) |
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10.4 Mathematical Modeling of Thermal Therapies |
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209 | (2) |
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10.5 Temperature Monitoring During Thermal Treatments |
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211 | (7) |
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10.5.1 Invasive (Contact) Thermometric Techniques |
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212 | (3) |
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10.5.2 Non-Invasive (Contactless) Thermometric Techniques |
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215 | (3) |
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218 | (11) |
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219 | (1) |
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219 | (1) |
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220 | (9) |
Index |
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229 | |