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Data Augmentation, Labelling, and Imperfections : Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / / edited by Yuan Xue, Chen Chen, Chao Chen, Lianrui Zuo, Yihao Liu
| Data Augmentation, Labelling, and Imperfections : Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / / edited by Yuan Xue, Chen Chen, Chao Chen, Lianrui Zuo, Yihao Liu |
| Autore | Xue Yuan |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (178 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
ChenChen
ChenChao ZuoLianrui LiuYihao |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Computers Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computing Milieux |
| ISBN |
9783031581717
3031581717 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- URL: Combating Label Noise for Lung Nodule Malignancy Grading -- 1 Introduction -- 2 Method -- 2.1 Problem Definition and Overview -- 2.2 SCL Stage -- 2.3 MU Stage -- 3 Experiments and Results -- 3.1 Dataset and Experimental Setup -- 3.2 Comparative Experiments -- 3.3 Ablation Analysis -- 4 Conclusion -- References -- Zero-Shot Learning of Individualized Task Contrast Prediction from Resting-State Functional Connectomes -- 1 Introduction -- 2 Methods -- 3 Experimental Setup -- 3.1 Data -- 3.2 OPIC's Training -- 3.3 Baselines -- 3.4 Metrics -- 4 Results -- 4.1 In-Domain Prediction Quality -- 4.2 Out-of-Domain Prediction Quality -- 4.3 New Task Contrast from a Seen Task Group -- 5 Conclusion -- References -- Microscopy Image Segmentation via Point and Shape Regularized Data Synthesis -- 1 Introduction -- 2 Methods -- 3 Experiments -- 4 Discussion -- References -- A Unified Approach to Learning with Label Noise and Unsupervised Confidence Approximation -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Noisy Labels and Confidence Score Approximation -- 3.2 Unsupervised Confidence Approximation Loss -- 3.3 Unsupervised Confidence Approximation Architecture -- 3.4 Confidence-Selective Prediction -- 3.5 Pixelwise UCA -- 4 Experimental Results -- 5 Conclusion -- References -- Transesophageal Echocardiography Generation Using Anatomical Models -- 1 Introduction -- 2 Methods -- 2.1 Pseudo-Image Generation -- 2.2 Image Synthesis -- 3 Results and Discussion -- 4 Conclusion -- References -- Data Augmentation Based on DiscrimDiff for Histopathology Image Classification -- 1 Introduction -- 2 Method -- 2.1 Synthesizing Histopathology Images Based on Diffusion Model -- 2.2 Post-discrimination Mechanism for Diffusion -- 3 Experiments -- 3.1 Datasets and Implementation -- 3.2 Result and Discussion.
3.3 Visualization of Class-Specific Image Features -- 4 Conclusion -- References -- Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Anomaly Detection Models -- 5 Clinical Evaluation Methodology -- 6 Results -- 7 Conclusion -- References -- LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation -- 1 Introduction -- 1.1 Related Works -- 1.2 Contributions -- 2 Method -- 2.1 LesionMix -- 2.2 Lesion Populating -- 2.3 Lesion Inpainting -- 2.4 Lesion Load Distribution -- 2.5 Properties of LesionMix -- 3 Experiments -- 3.1 Data -- 3.2 Implementation Details -- 3.3 Results -- 4 Conclusion -- References -- Knowledge Graph Embeddings for Multi-lingual Structured Representations of Radiology Reports -- 1 Introduction -- 2 Methodology -- 3 Experimental Setup -- 4 Results and Discussion -- 5 Conclusion -- References -- Modular, Label-Efficient Dataset Generation for Instrument Detection for Robotic Scrub Nurses -- 1 Introduction -- 2 Dataset -- 2.1 Data Acquisition -- 2.2 Real Multi-instrument Data for Validation and Testing -- 2.3 Real Single-Instrument Images for Advanced MBOI -- 3 Experiments -- 3.1 Model and Hyperparameters -- 3.2 Synthetic Training Data from MBOI -- 3.3 Advancing Copy-Paste in MBOI -- 3.4 Effciency: Performance vs. Invested Resources -- 4 Results -- 4.1 Naive Insertion vs. Gaussian Blur and Poisson Blending -- 4.2 Impact of the Number of SI Images and Training Set Size -- 4.3 Evaluation of with Other Detectors Under Optimal Conditions -- 5 Conclusion -- References -- Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels -- 1 Introduction -- 2 Methodology -- 2.1 Preprocessing -- 2.2 Problem Formulation -- 2.3 Supervised Learning -- 2.4 Semi-supervised Learning. 3 Experiments and Results -- 3.1 Datasets -- 3.2 Experimental Setup -- 3.3 Evaluation Metrics -- 3.4 Qualitative Results and Analysis -- 3.5 Quantitative Results and Analysis -- 4 Conclusion -- References -- Proportion Estimation by Masked Learning from Label Proportion -- 1 Introduction -- 2 PD-L1 Tumor Proportion Estimation -- 3 Experiments -- 4 Conclusion -- References -- Active Learning Strategies on a Real-World Thyroid Ultrasound Dataset -- 1 Background -- 1.1 Active Learning -- 1.2 Active Learning Applied to Thyroid Ultrasound -- 2 Materials and Methods -- 2.1 Image Datasets -- 2.2 Rigged Draw Strategy -- 2.3 Supervised and Unsupervised Active Learning Strategies -- 3 Results -- 3.1 Supervised Strategies -- 3.2 Semi-supervised Strategies -- 4 Discussion -- References -- A Realistic Collimated X-Ray Image Simulation Pipeline -- 1 Introduction -- 2 Methods -- 2.1 Randomized Collimator Simulation Pipeline -- 2.2 Experiments -- 3 Results -- 3.1 Framework Validation -- 3.2 Network Evaluation -- 4 Discussion -- References -- Masked Conditional Diffusion Models for Image Analysis with Application to Radiographic Diagnosis of Infant Abuse -- 1 Introduction -- 2 Methods -- 2.1 Diffusion Model -- 2.2 Image Generation via Conditional Diffusion Model -- 3 Experiments -- 4 Results and Discussion -- 5 Conclusions -- References -- Self-supervised Single-Image Deconvolution with Siamese Neural Networks -- 1 Introduction and Related Work -- 2 Methods -- 3 Experiments -- 3.1 2D Dataset -- 3.2 3D Dataset -- 4 Discussion -- 5 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910855369103321 |
Xue Yuan
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Generative Machine Learning Models in Medical Image Computing / / edited by Le Zhang, Chen Chen, Zeju Li, Greg Slabaugh
| Generative Machine Learning Models in Medical Image Computing / / edited by Le Zhang, Chen Chen, Zeju Li, Greg Slabaugh |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (VIII, 382 p. 107 illus., 97 illus. in color.) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning
Medical informatics Image processing Machine Learning Health Informatics Image Processing Aprenentatge automàtic Informàtica mèdica Processament d'imatges |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-80965-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Segmentation -- Synthesis of annotated data for medical image segmentation -- Diffusion Models For Histopathological Image Generation -- Generative AI Techniques for Ultrasound Image Reconstruction -- Part II Detection and Classification -- Vision Language Pre training from Synthetic Data -- Diffusion models for inverse problems in medical imaging -- Virtual Elastography Ultrasound via Generative Adversarial Network and its Application to Breast Cancer Diagnosis -- Generative Adversarial Networks for Brain MR Image Synthesis and Its Clinical Validation on Multiple Sclerosis -- Histopathological Synthetic Augmentation with Generative Models -- Part III Image Super resolution and Reconstruction -- Enhancing PET with Image Generation Techniques Generating Standard dose PET from Low dose PET -- EyesGAN Synthesize human face from human eyes -- Deep Generative Models for 3D Medical Image Synthesis -- Part IV Various Applications -- Cross Modal Attention Fusion based Generative Adversarial Network for text to image synthesis -- CHeart A Conditional Spatio Temporal Generative Model for Cardiac Anatomy -- Generative Models for Synthesizing Anatomical Plausible 3D Medical Images -- Diffusion Probabilistic Models for Image Formation in MRI -- Embedding 3D CT Prior into X ray Imaging Using Generative Adversarial Networks. |
| Record Nr. | UNINA-9910987689203321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Legal Challenges of the Fourth Industrial Revolution : The European Union's Digital Strategy / / edited by Dário Moura Vicente, Sofia de Vasconcelos Casimiro, Chen Chen
| The Legal Challenges of the Fourth Industrial Revolution : The European Union's Digital Strategy / / edited by Dário Moura Vicente, Sofia de Vasconcelos Casimiro, Chen Chen |
| Autore | Moura Vicente Dário |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (355 pages) |
| Disciplina | 343.099 |
| Altri autori (Persone) |
de Vasconcelos CasimiroSofia
ChenChen |
| Collana | Law, Governance and Technology Series |
| Soggetto topico |
Information technology - Law and legislation
Mass media - Law and legislation Law - Europe Technological innovations Computers - Law and legislation Business information services Computational intelligence IT Law, Media Law, Intellectual Property European Law Innovation and Technology Management Legal Aspects of Computing IT in Business Computational Intelligence |
| ISBN |
9783031405167
3031405161 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Part I - Content -- The Legal Challenges of the Fourth Industrial Revolution: Copyright in the Digital Single Market - between new uses of protected content and fairness considerations -- Due diligence obligations and liability of intermediary services: the Proposal for the EU Digital Services Act -- Legal challenges posed by the modern-day transportation services. A brief overview from the private law perspective -- The regulation of content moderation -- Part II - Economy -- The European Way to Regulate Big Tech: the EU’s Digital Markets Act -- “eCommerce and EU consumers' rights” -- Online platforms and taxes in the EU: a compatible match? -- Regulating Digital Advertising from the Perspective of the 4th Industrial Revolution -- Part III - Security -- The European Union Strategy for Cybersecurity -- Remarks on the use of biometric data systems (and facial recognition technologies) for law enforcement purposes: security implications of the Proposal for an EU Regulation on Artificial Intelligence -- Cyber operations threatening the European Union and its member states: the rise of the European Union as a cyber defence actor -- Part IV - People -- Data Protection Litigation System under the GDPR -- R2D: The Right to Disconnect from Work -- Is There a Need for an EU Catalogue of Fundamental Digital Rights? -- Countering terrorism propaganda online through TERREG and DSA: a battlefield or a breath of hope for our fundamental human rights? -- AI and Fundamental Rights: the People, the Conversations, and the Governance Challenges. |
| Record Nr. | UNINA-9910742485203321 |
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Moura Vicente Dário
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sociology of Migration and Post-Western Theory / / Laurence Roulleau-Berger, Liu Yuzhao
| Sociology of Migration and Post-Western Theory / / Laurence Roulleau-Berger, Liu Yuzhao |
| Autore | Bellot Marie |
| Pubbl/distr/stampa | Lyon, : ENS Éditions, 2021 |
| Descrizione fisica | 1 online resource (384 p.) |
| Altri autori (Persone) |
BoubekerAhmed
ChenChen ChunguangWang FourotAude-Claire Giraudo-BaujeuGrégory HammoucheAbdelhafid JunYan KokoreffMichel LiangSu NengLiu Rouleau-BergerLaurence Roulleau-BergerLaurence ShidingLiu TucciIngrid YeqinZhao YihanXiong YingchunJi YongLi YuzhaoLiu ZaniBeatrice ZhenLi ZhongweiSun |
| Collana | De l’Orient à l’Occident |
| Soggetto topico |
Sociology
sociologie des migrations sociologie internationale théorie post-occidentale France Chine sociology of migration international sociology post-western theory China |
| Soggetto non controllato |
sociology of migration
international sociology post-western theory France China |
| ISBN | 979-1-03-620406-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910502602503321 |
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Bellot Marie
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| Lyon, : ENS Éditions, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Visible Light Communication (VLC)
| Visible Light Communication (VLC) |
| Autore | Chen Chen |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (240 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
ADO-OFDM
autoencoder (AE) bandwidth limitation bit error rate bit error ratio BLSTM carrierless amplitude and phase (CAP) modulation channel modeling channel propagation characteristics chaotic encryption cluster characteristics coefficient approximation constant transmission efficiency deep learning delay spread (DS) dimming control dual-mode index modulation (DM) energy efficiency (EE) error performance free-space communication FSO full-duplex gamma-gamma function index modulation intelligent reflecting surface (IRS) LED LiFi light-emitting diode (LED) long-reach maximum likelihood sequence estimation mmWave communications Monte Carlo method n/a neural network (NN) NOMA triangle non-orthogonal multiple access (NOMA) nonlinear equalization nonlinearity orthogonal frequency division multiplexing orthogonal frequency division multiplexing (OFDM) orthogonal frequency-division multiplexing pairwise coding (PWC) path loss peak-to-average-power ratio (PAPR) photon counting POF power efficiency pre-distorted enhanced predistortion reservoir computing RGB LED Ricean K-factor sampling frequency offset successive interference cancellation superposition constellation adjustment temporal dispersion the number of mirrors transceiver design underwater optical wireless communication (UOWC) underwater wireless optical communication vehicular visible light communication (VVLC) visible light communication visible light communication (VLC) visible light communications visible light communications (VLC) visible light positioning (VLP) VLC |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Visible Light Communication |
| Record Nr. | UNINA-9910576877303321 |
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Chen Chen
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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