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Biomedical Engineering Systems and Technologies : 11th International Joint Conference, BIOSTEC 2018, Funchal, Madeira, Portugal, January 19–21, 2018, Revised Selected Papers / / edited by Alberto Cliquet Jr., Sheldon Wiebe, Paul Anderson, Giovanni Saggio, Reyer Zwiggelaar, Hugo Gamboa, Ana Fred, Sergi Bermúdez i Badia
| Biomedical Engineering Systems and Technologies : 11th International Joint Conference, BIOSTEC 2018, Funchal, Madeira, Portugal, January 19–21, 2018, Revised Selected Papers / / edited by Alberto Cliquet Jr., Sheldon Wiebe, Paul Anderson, Giovanni Saggio, Reyer Zwiggelaar, Hugo Gamboa, Ana Fred, Sergi Bermúdez i Badia |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXIII, 526 p. 298 illus., 170 illus. in color.) |
| Disciplina |
610.28
502.85 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Health informatics
Artificial intelligence Optical data processing Computer communication systems Software engineering Computer security Health Informatics Artificial Intelligence Image Processing and Computer Vision Computer Communication Networks Software Engineering Systems and Data Security |
| ISBN | 3-030-29196-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biomedical Electronics and Devices -- Bioimaging -- Bioinformatics Models, Methods and Algorithms -- Health Informatics. |
| Record Nr. | UNINA-9910349288703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Digital Mammography [[electronic resource] ] : 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings / / edited by Susan M. Astley, Michael Brady, Chris Rose, Reyer Zwiggelaar
| Digital Mammography [[electronic resource] ] : 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings / / edited by Susan M. Astley, Michael Brady, Chris Rose, Reyer Zwiggelaar |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (XVI, 654 p.) |
| Disciplina | 618.1/907572 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Health informatics Radiology Information storage and retrieval Pattern recognition Bioinformatics Image Processing and Computer Vision Health Informatics Imaging / Radiology Information Storage and Retrieval Pattern Recognition |
| ISBN | 3-540-35627-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Breast Density -- CAD -- Clinical Practice -- Tomosynthesis -- Registration and Multiple View Mammography -- Physics Models -- Poster Session -- Wavelet Methods -- Full-Field Digital Mammography -- Segmentation. |
| Record Nr. | UNISA-996466256903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Medical Image Understanding and Analysis : 28th Annual Conference, MIUA 2024, Manchester, UK, July 24–26, 2024, Proceedings, Part I / / edited by Moi Hoon Yap, Connah Kendrick, Ardhendu Behera, Timothy Cootes, Reyer Zwiggelaar
| Medical Image Understanding and Analysis : 28th Annual Conference, MIUA 2024, Manchester, UK, July 24–26, 2024, Proceedings, Part I / / edited by Moi Hoon Yap, Connah Kendrick, Ardhendu Behera, Timothy Cootes, Reyer Zwiggelaar |
| Autore | Yap Moi Hoon |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (435 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
KendrickConnah
BeheraArdhendu CootesTimothy ZwiggelaarReyer |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Artificial intelligence Computers Application software Computer Vision Artificial Intelligence Computing Milieux Computer and Information Systems Applications |
| ISBN |
9783031669552
9783031669545 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Advancement in Brain Imaging. -- Robust Multi-Modal Registration of Cerebral Vasculature. -- Towards Segmenting Cerebral Arteries from Structural MRI. -- Stochastic Uncertainty Quantification techniques fail to account for Inter-Analyst Variability in White Matter Hyperintensity segmentation. -- Learning-based MRI Response Predictions from OCT Microvascular Models to Replace Simulation-based Frameworks. -- Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random Field. -- DeepDSMRI: Deep Domain Shift analyzer for MRI. -- Self-Supervised Pretraining for Cortial Surface Analysis. -- Spike Detection in Deep Brain Stimulation Surgery with Convolutional Neural Networks. -- Medical Images and Computational Models. -- Micro-CT Imaging Techniques for Visualizing Pinniped Mystacial Pad Musculature. -- SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images. -- JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA. -- Identification of skin diseases based on blind chromophore separation and artificial intelligence. -- Generating Chest Radiology Report Findings using a Multimodal Method. -- Image processing and machine learning techniques for Chagas disease detection and identification. -- Ensemble deep learning models for segmentation of prostate zonal anatomy and pathologically suspicious area. -- U-Net-driven image reconstruction for range verification in proton therapy. -- DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images. -- PDSE: A Multiple Lesion Detector for CT Images Using PANet and Deformable Squeeze-and-Excitation Block. -- What is the Best Way to Fine-tune Self-supervised Medical Imaging Models. -- Digital Pathology, Histology and Microscopic Imaging. -- RoTIR: Rotation-Equivariant Network and Transformers for Zebrafish Scale Image Registration. -- GRU-Net: Gaussian attention aided dense skip connection based multiResU-Net for Breast Histopathology Image Segmentation. -- Bounding Box is all you need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations. -- Leveraging Foundation Models for Enhanced Detection of Colorectal Cancer Biomarkers in Small Datasets. -- SPADESegResNet: Harnessing Spatially-adaptive Normalization for Breast Cancer Semantic Segmentation. -- Unsupervised Anomaly Detection on Histopathology Images Using Adversarial Learning and Simulated Anomaly. -- Nuclei-Location Based Point Set Registration of Multi-Stained Whole Slide Images. -- CellGenie: An end-to-end Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images. -- A Line Is All You Need: Weak Supervision For 2.5D Cell Segmentation. |
| Record Nr. | UNINA-9910878050803321 |
Yap Moi Hoon
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Medical Image Understanding and Analysis : 28th Annual Conference, MIUA 2024, Manchester, UK, July 24–26, 2024, Proceedings, Part II / / edited by Moi Hoon Yap, Connah Kendrick, Ardhendu Behera, Timothy Cootes, Reyer Zwiggelaar
| Medical Image Understanding and Analysis : 28th Annual Conference, MIUA 2024, Manchester, UK, July 24–26, 2024, Proceedings, Part II / / edited by Moi Hoon Yap, Connah Kendrick, Ardhendu Behera, Timothy Cootes, Reyer Zwiggelaar |
| Autore | Yap Moi Hoon |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (471 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
KendrickConnah
BeheraArdhendu CootesTimothy ZwiggelaarReyer |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Artificial intelligence Computers Application software Computer Vision Artificial Intelligence Computing Milieux Computer and Information Systems Applications |
| ISBN | 9783031669583 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Dental and Bone Imaging. -- Enhancing Cephalometric Landmark Detection with a Two-Stage Cascaded CNN on Multi-Resolution Multi-Modal Data. -- Enhancing Dental Diagnostics: Advanced Image Segmentation Models for Teeth Identification and Enumeration. -- 3D Bone Shape from CT-Scans Provides an Objective Measure of Osteoarthritis Severity: data from the IMI-APPROACH study. -- CNN-based osteoporotic vertebral fracture prediction and risk assessment on MrOS CT data: Impact of CNN model architecture. -- Analysis of leg bones from whole body DXA in the UK Biobank. -- H-FCBFormer: Hierarchical Fully Convolutional Branch Transformer for Occlusal Contact Segmentation with Articulating Paper. -- Enhancing Low-Quality Medical Images. -- Ultrasound Confidence Maps with Neural Implicit Representation. -- Blurry Boundary Segmentation with Semantic-guided Feature Learning. -- SA-GCN: Scale Adaptive Graph Convolutional Network for ASD Identification. -- Resolution-Invariant Medical Image Segmentation using Fourier Neural Operators. -- YOLO-TL:A Tiny Object Segmentation Framework for Low Quality Medical Images. -- Superresolution of real-world multiscale bone CT verified with clinical bone measures. -- Reconstructing MRI parameters using a noncentral chi noise model. -- Domain Adaptation and Generalisation. -- AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation. -- Analysing Variables for 90-Day Functional-Outcome Prediction of Endovascular Thrombectomy. -- Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss. -- Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. -- Prediction of total metabolic tumor volume from tissue-wise FDG-PET/CT projections, interpreted using cohort saliency analysis. -- Expert model prediction through feature matching. -- Enhancing Cross-Institute Generalisation of GNNs in Histopathology through Multiple Embedding Graph Augmentation (MEGA). -- PMT: Partial-Modality Translation Based on Diffusion Models for Prostate Magnetic Resonance and Ultrasound Image Registration. -- Fine-grained Medical Image Synthesis with Dual-Attention Adversarial Learning. -- Dermatology, Cardiac Imaging and Other Medical Imaging. -- Enhancing Skin Lesion Classification: A Self-Attention Fusion Approach with Vision Transformer. -- Optimizing Melanoma Prognosis through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction. -- The Effect of Image Preprocessing Algorithms on Diabetic Foot Ulcer Classification. -- Synthetic Balancing of Cardiac MRI Datasets. -- EchoVisuAL: Efficient Segmentation of Echocardiograms using Deep Active Learning. -- Improving Automated Ultrasound Infant Hip Screening using an Integrated Clinical Classification Loss. -- Deep learning models to automate the scoring of hand radiographs for Rheumatoid Arthritis. -- Radiomic Analysis for Prediction of Preterm Birth. -- Hierarchical multi-label learning for musculoskeletal phenotyping in mice. -- MIUA 2023 Overlooked Paper. -- Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease using Machine Learning with Radiomics and ECG Markers. |
| Record Nr. | UNINA-9910878058203321 |
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Yap Moi Hoon
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Medical Image Understanding and Analysis : 22nd Conference, MIUA 2018, Southampton, UK, July 9-11, 2018, Proceedings / / edited by Mark Nixon, Sasan Mahmoodi, Reyer Zwiggelaar
| Medical Image Understanding and Analysis : 22nd Conference, MIUA 2018, Southampton, UK, July 9-11, 2018, Proceedings / / edited by Mark Nixon, Sasan Mahmoodi, Reyer Zwiggelaar |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIV, 380 p. 191 illus.) |
| Disciplina | 616.0754 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Optical data processing
Artificial intelligence Image Processing and Computer Vision Artificial Intelligence |
| ISBN | 3-319-95921-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep Learning in Medical Imaging -- Special session: Liver Analysis -- Medical Image Analysis -- Texture and Image Analysis -- MRI: Applications and Techniques -- Segmentation in Medical Images -- CT: Learning and Planning -- Ocular Imaging Analysis -- Applications of Medical Image Analysis. |
| Record Nr. | UNINA-9910299302103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Open problems in spectral dimensionality reduction / / Harry Strange, Reyer Zwiggelaar
| Open problems in spectral dimensionality reduction / / Harry Strange, Reyer Zwiggelaar |
| Autore | Strange Harry |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham [Switzerland] : , : Springer, , 2014 |
| Descrizione fisica | 1 online resource (ix, 92 pages) : illustrations (some color) |
| Disciplina |
005.7
006.3 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Dimension reduction (Statistics)
Computer science - Mathematics |
| ISBN | 3-319-03943-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Spectral Dimensionality Reduction -- Modelling the Manifold -- Intrinsic Dimensionality -- Incorporating New Points -- Large Scale Data -- Postcript. |
| Record Nr. | UNINA-9910299049703321 |
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Strange Harry
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| Cham [Switzerland] : , : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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