01165nam--2200385---450-99000107957020331620090604100319.088-7140-225-1000107957USA01000107957(ALEPH)000107957USA0100010795720020510d2003----km-y0itay50------baitaITa|||||||101yyEpigraphicaatti delle giornate di studio di Roma e di Atene in memoria di Margherita Guarducci (1902-1999)RomaQuasar2003251 p.ill.27 cmOpuscula epigraphica10Tenute nel 20012001Opuscula epigraphica10Epigrafia grecaScritti in onoreBNCF481.1GUARDACCI,MargheritaITsalbcISBD990001079570203316XI.3.C. 63216709 L.M.XI.3.00225713BKUMASTELLA1020020510USA011247PATRY9020040406USA011715ANNAMARIA9020090604USA011003Epigraphica795002UNISA02080nam 2200361 n 450 99639617150331620221108082613.0(CKB)4330000000334280(EEBO)2240918613(UnM)99839749(EXLCZ)99433000000033428019910107d1637 uy |engurbn||||a|bb|A true and briefe relation of the famous seige of Breda[electronic resource] beseiged, and taken in vnder the able and victorious conduct of his Highnesse the Prince of Orange, captaine generall of the States armie, and admirall of the seas, &c. Composed by Henry Hexham quartermaster to the regiment of the honorable Coronell GoringPrinted at Delft By James Moxon, and are to be sould at [sic] Hendricus Hondius neere the gevangen Port in the Haghanno 1637[8], 46, [2]; 16, [4] p. folded engraved map"The articles of composition, granted by this [sic] highnesse the Prince of Orange to the Governour Gomar Fourdine captaines, & souldiers within the towne of Breda" (caption title) has separate pagination and register.The engraved map has title "Baronnie van Breda" and imprint "In s'Graven Haghe ten huyse van Henricus Hondius. anno 1637"; it was also issued separately with pasted-on letterpress text in English (STC 13685). "Since none is called for, it may have been added only to copies Hondius sold, or it may have been added by owners"--STC.Reproduction of the original in the British Library.eebo-0018Breda (Netherlands)HistorySiege, 1624-1625Early works to 1800Hexham Henry1585?-1650?918494Hondius Hendrikb. 1573.1011500Frederick HenryPrince of Orange,1584-1647.1021688Cu-RivESCu-RivESCStRLINWaOLNBOOK996396171503316A true and briefe relation of the famous seige of Breda2425974UNISA06099nam 2200517 450 99650006110331620230414202356.03-031-21206-1(MiAaPQ)EBC7150693(Au-PeEL)EBL7150693(CKB)25510547100041(OCoLC)1352969860(PPN)266348688(EXLCZ)992551054710004120230414d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComputational diffusion MRI 13th international workshop, CDMRI 2022, held in conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, proceedings /editors : Suheyla Cetin-Karayumak [and six others]Cham, Switzerland :Springer,[2022]©20221 online resource (156 pages)Lecture notes in computer science ;Volume 13722Print version: Cetin-Karayumak, Suheyla Computational Diffusion MRI Cham : Springer,c2022 9783031212055 Includes bibliographical references and index.Intro -- Preface -- Organization -- Contents -- Data Preprocessing -- Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders -- 1 Introduction -- 2 Methodology -- 2.1 Materials -- 2.2 Model -- 3 Results -- 3.1 DWI Assessment -- 3.2 FA and MD in Newborns -- 3.3 Qualitative Results of FA and MD in Fetuses -- 4 Conclusion -- References -- Super-Resolution of Manifold-Valued Diffusion MRI Refined by Multi-modal Imaging -- 1 Introduction -- 2 Background and Methods -- 2.1 Background -- 2.2 Proposed Method -- 3 Experiments -- 3.1 Data -- 3.2 Implementation and Training Details -- 3.3 Models and Evaluation Metrics -- 4 Results -- 4.1 Proposed Model Performance -- 4.2 Model Ablation Results -- 5 Discussion -- References -- .28em plus .1em minus .1emLossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion and Conclusion -- References -- Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning -- 1 Introduction -- 2 Background -- 2.1 Distortion Model -- 2.2 Distortion Correction Using Image Registration -- 3 Method -- 3.1 Model Architecture -- 3.2 Models -- 4 Evaluations -- 4.1 Datasets -- 4.2 Models -- 4.3 Assessment Metrics -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- The Impact of Susceptibility Distortion Correction Protocols on Adolescent Diffusion MRI Measures -- 1 Introduction -- 2 Methods -- 2.1 Study Participants and MRI Data -- 2.2 dMRI Preprocessing and Subsampling -- 2.3 dMRI Models and Regional Measures -- 2.4 Statistics -- 3 Results -- 3.1 DTI and NODDI Map Comparisons -- 3.2 DTI and NODDI Fit Evaluations -- 3.3 GAM Age Associations -- 4 Discussion -- References -- Signal Representations.Diffusion MRI Fibre Orientation Distribution Inpainting -- 1 Introduction -- 2 Methods -- 2.1 The Human Connectome Project Dataset -- 2.2 Data Preprocessing -- 2.3 3D FOD Inpainting Framework -- 2.4 Feature Encoding Stage -- 2.5 Order-Wise Coefficient Decoders -- 2.6 Implementation Details -- 3 Experimental Results -- 3.1 Inpainting Quality Analysis -- 3.2 Connectome Matrix Analysis -- 4 Conclusion -- References -- Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning -- 1 Introduction -- 2 Methods -- 2.1 Microstructure Model -- 2.2 Combined T1-Diffusion in Vivo Data -- 2.3 Simulated Data -- 2.4 Non-linear Least Squares Fitting -- 2.5 Self-supervised Model Fitting -- 3 Results -- 3.1 Simulated Data -- 3.2 Real Data -- 4 Discussion -- 5 Conclusion -- References -- Stepwise Stochastic Dictionary Adaptation Improves Microstructure Reconstruction with Orientation Distribution Function Fingerprinting -- 1 Introduction -- 2 Methods -- 2.1 Biophysical Diffusion Model -- 2.2 Orientation Distribution Function Fingerprinting -- 2.3 Stepwise Stochastic Adaptation of a Dictionary -- 2.4 Data -- 2.5 Evaluation -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? -- 1 Introduction -- 2 ML Solutions to the dMRI Parameter Estimation Problem and the Theoretical Benefits of S-CNNs -- 2.1 Fully-Connected Networks -- 2.2 Spherical CNNs -- 3 Experiments -- 3.1 Experiment 1 -- 3.2 Experiment 2 -- 4 Results and Discussion -- 4.1 For Experiment 1 -- 4.2 For Experiment 2 -- 5 Conclusion -- References -- Tractography and WM Pathways -- DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net -- 1 Introduction -- 2 Methods -- 2.1 Dense Criss-Cross U-Net -- 2.2 Dense Criss-Cross Attention (DCCA) Block.2.3 Deeply Supervised Loss Function -- 3 Experiments -- 3.1 Dataset and Implementation Details -- 3.2 Results -- 3.3 Ablation Analysis of DC2U-Net -- 4 Conclusion -- References -- Clustering in Tractography Using Autoencoders (CINTA) -- 1 Introduction -- 1.1 Related Work -- 2 Material and Methods -- 3 Experiments -- 4 Results -- 5 Discussion -- 6 Conclusion -- A Appendix -- A.1 Misclassified Streamlines -- A.2 Time Computational Requirements -- References -- Tractometric Coherence of Fiber Bundles in DTI -- 1 Introduction -- 2 Theory -- 3 Experiments -- 4 Discussion -- References -- Author Index.Lecture notes in computer science ;Volume 13722.Diffusion magnetic resonance imaging Artificial intelligenceComputer visionDiffusion magnetic resonance imaging .Artificial intelligence.Computer vision.616.07548Cetin-Karayumak SuheylaMiAaPQMiAaPQMiAaPQBOOK996500061103316Computational diffusion MRI1409948UNISA