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1. |
Record Nr. |
UNINA9910155329503321 |
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Titolo |
Design and Applications of Nanoparticles in Biomedical Imaging / / edited by Jeff W.M. Bulte, Michel M.J. Modo |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (VIII, 469 p. 143 illus., 121 illus. in color.) |
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Disciplina |
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Soggetti |
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Biomedical engineering |
Radiology |
Biomedical Engineering/Biotechnology |
Biomedical Engineering and Bioengineering |
Imaging / Radiology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preface -- 1. Introduction -- 2. Basic principles of in vivo distribution, toxicity, degradation of prospective inorganic nanoparticles for imaging -- 3. Imaging and therapeutic potential of extracellular vesicles -- 4. Magnetic Particle Imaging -- 5. Multispectral MR Imaging and Sensing Using Shaped Nanoparticles -- 6. Magnet-targeted delivery and imaging -- 7. Spinning to a different beat: 19F agents for “hot spot” cellular MR imaging -- 8. Nanoformulations for Pharmacological siRNA Delivery in Cancer -- 9. Forming Magnetosome-like Nanoparticles in Mammalian Cells for Molecular MRI -- 10. PET/SPECT/MRI multimodal nanoparticles -- 11. Nanoparticles for PET Imaging of Tumors and Cancer Metastasis -- 12. Theranostic Nanoplatforms for PET Image-Guided Drug Delivery -- 13. Triggered drug release and enhanced drug transport from ultrasound-responsive nanoparticles -- 14. Nanoparticles for ultrasound-guided imaging of cell implantation -- 15. Photoacoustic Imaging of Cancer Using Nanoparticles -- 16. Photoacoustic Imaging of Vasculature -- 17. Nanoparticles for Cardiovascular Imaging with CT -- 18. Molecular Imaging with Spectral CT Nanoprobes -- 19. Theranostic gold nanoparticles for CT imaging -- 20. Bismuth-Based Nanoparticles for CT Imaging -- 21. |
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Hyperspectral microscopy and cellular array imaging using colloidal quantum dots -- Index. |
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Sommario/riassunto |
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This book covers the most recent advances in using nanoparticles for biomedical imaging, including magnetic resonance imaging (MRI), magnetic particle imaging (MPI), nuclear medicine, ultrasound (US) imaging, computed tomography (CT), and optical imaging. Topics include nanoparticles for MRI and MPI, siRNA delivery, theranostic nanoparticles for PET imaging of drug delivery, US nanoparticles for imaging drug delivery, inorganic nanoparticles for targeted CT imaging, and quantum dots for optical imaging. This book serves as a valuable resource for the fundamental science of diagnostic nanoparticles and their interactions with biological targets, providing a practical handbook for improved detection of disease and its clinical implementation. |
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2. |
Record Nr. |
UNINA9910983078603321 |
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Autore |
Antonacopoulos Apostolos |
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Titolo |
Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part II / / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (517 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 15302 |
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Altri autori (Persone) |
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ChaudhuriSubhasis |
ChellappaRama |
LiuCheng-Lin |
BhattacharyaSaumik |
PalUmapada |
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Disciplina |
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Soggetti |
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Computer vision |
Machine learning |
Computer Vision |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation -- FedSOKD-TFA: Federated Learning with Stage-Optimal Knowledge Distillation and Three-Factor Aggregation -- DualViT: A Hierarchical Vision Transformer for Broad and Fine Class Embeddings -- Establishing Interconnections of Similarity-based Classifiers for Multi-label Learning with Missing Labels -- GL-TSVM: A robust and smooth twin support vector machine with guardian loss function -- An Approach Towards Learning K-means-friendly Deep Latent Representation -- PulmoNetX: A Hybrid Vision Transformer Approach for Multi-scale Spatial Feature Reduction in Pneumonia Classification -- Federated K-Means clustering -- Feature selection voting strategies and hyperparameter tuning in a boosting classification -- Advancing 3D Mesh Analysis: A Graph Learning Approach for Intersecting 3D Geometry Classification -- Efficient Classification of Histopathology Images using Highly Imbalanced Data -- GenFormer - Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets -- Recognizing Patterns of Parkinson’s Disease using Online Trail Making Test and Response Dynamics – Preliminary Study -- Regularization of Interpolation Kernel Machines -- Task Success Classification with Final State of Future Prediction for Robot Control Planning -- EGOFALLS: A visual-audio dataset and benchmark for fall detection using egocentric cameras -- Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data -- PolSAR Image Classification Using Complex-Valued Squeeze and Excitation Network -- Probabilistic Fusion Framework Combining CNNs and Graphical Models for Multiresolution Satellite and UAV Image Classification -- Multiscale Color Guided Attention Ensemble Classifier for Age-Related Macular Degeneration using Concurrent Fundus and Optical Coherence Tomography images -- PolSAR Image Classification Using Superpixel Profile and CNN -- Know How Much Sensitive Precision and Recall Validity Measures Are? -- Optimizing Software Release Management with GPT-Enabled Log Anomaly Detection -- Patch-based Prototypical Cross-Scale Attention Network for Anomaly Detection -- Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition -- Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling -- Label-Specific Multi-Label Classification with Entropy Guided Clustering -- FAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification -- Fusing Image and Text Features for Scene Sentiment Analysis using Whale-Honey Badger Optimization Algorithm (WHBOA) -- EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder. |
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Sommario/riassunto |
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The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics. |
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