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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 |
Medical informatics
Artificial intelligence Computer vision Computer networks Software engineering Data protection Health Informatics Artificial Intelligence Computer Vision Computer Communication Networks Software Engineering Data and Information 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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