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Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting [[electronic resource] ] : First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu, Zijian Ding, Luc Duong, Renzo Phellan, Guillaume Zahnd, Katharina Breininger, Shadi Albarqouni, Stefano Moriconi, Su-Lin Lee, Stefanie Demirci
| Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting [[electronic resource] ] : First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu, Zijian Ding, Luc Duong, Renzo Phellan, Guillaume Zahnd, Katharina Breininger, Shadi Albarqouni, Stefano Moriconi, Su-Lin Lee, Stefanie Demirci |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVII, 212 p. 83 illus., 68 illus. in color.) |
| Disciplina | 610.285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Image Processing and Computer Vision Artificial Intelligence |
| ISBN | 3-030-33327-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health, MLMECH 2019 -- Arrhythmia Classification with Attention-Based ResBiLSTM-Net -- A Multi-Label Learning Method to detect Arrhythmia Based on -- An Ensemble Neural Network for Multi-label Classification of Electrocardiogram -- Automatic Diagnosis with 12-lead ECG Signals -- Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks -- Transfer Learning for Electrocardiogram Classification under Small Dataset -- Multi-label classification of abnormalities in 12-lead ECG using 1D CNN and LSTM -- An Approach to Predict Multiple Cardiac Diseases -- A 12-lead ECG Arrhythmia Classification Method Based on 1D Densely Connected CNN -- Automatic Multi-label Classification in 12-lead ECGs Using Neural Networks and Characteristic Points -- Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention -- Deep Learning to Improve Heart Disease Risk Prediction -- LabelECG: A Web-based Tool for Distributed Electrocardiogram Annotation -- Particle Swarm Optimization for Great Enhancement in Semi-Supervised Retinal Vessel Segmentation with Generative Adversarial Networks -- Attention-Guided Decoder in Dilated Residual Network for Accurate Aortic Valve Segmentation in 3D CT Scans -- ARVBNet: Real-time Detection of Anatomical Structures in Fetal Ultrasound Cardiac Four-chamber Planes -- Proceedings of the Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2019 -- The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets - a Flow Phantom Study -- Towards Quantifying Neurovascular Resilience -- Random 2.5D U-net for Fully 3D Segmentation -- Abdominal aortic aneurysm segmentation using convolutional neural networks trained with images generated with a synthetic shape model -- Tracking of intracavitary instrument markers in coronary angiography images -- Healthy Vessel Wall Detection Using U-Net in Optical Coherence Tomography -- Advanced Multi-objective Design Analysis to Identify Ideal Stent Design -- Simultaneous Intracranial Artery Tracing and Segmentation from Magnetic Resonance Angiography by Joint Optimization from Multiplanar Reformation. |
| Record Nr. | UNISA-996466194903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting [[electronic resource] ] : First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu, Zijian Ding, Luc Duong, Renzo Phellan, Guillaume Zahnd, Katharina Breininger, Shadi Albarqouni, Stefano Moriconi, Su-Lin Lee, Stefanie Demirci
| Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting [[electronic resource] ] : First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu, Zijian Ding, Luc Duong, Renzo Phellan, Guillaume Zahnd, Katharina Breininger, Shadi Albarqouni, Stefano Moriconi, Su-Lin Lee, Stefanie Demirci |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVII, 212 p. 83 illus., 68 illus. in color.) |
| Disciplina | 610.285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Image Processing and Computer Vision Artificial Intelligence |
| ISBN | 3-030-33327-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health, MLMECH 2019 -- Arrhythmia Classification with Attention-Based ResBiLSTM-Net -- A Multi-Label Learning Method to detect Arrhythmia Based on -- An Ensemble Neural Network for Multi-label Classification of Electrocardiogram -- Automatic Diagnosis with 12-lead ECG Signals -- Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks -- Transfer Learning for Electrocardiogram Classification under Small Dataset -- Multi-label classification of abnormalities in 12-lead ECG using 1D CNN and LSTM -- An Approach to Predict Multiple Cardiac Diseases -- A 12-lead ECG Arrhythmia Classification Method Based on 1D Densely Connected CNN -- Automatic Multi-label Classification in 12-lead ECGs Using Neural Networks and Characteristic Points -- Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention -- Deep Learning to Improve Heart Disease Risk Prediction -- LabelECG: A Web-based Tool for Distributed Electrocardiogram Annotation -- Particle Swarm Optimization for Great Enhancement in Semi-Supervised Retinal Vessel Segmentation with Generative Adversarial Networks -- Attention-Guided Decoder in Dilated Residual Network for Accurate Aortic Valve Segmentation in 3D CT Scans -- ARVBNet: Real-time Detection of Anatomical Structures in Fetal Ultrasound Cardiac Four-chamber Planes -- Proceedings of the Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2019 -- The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets - a Flow Phantom Study -- Towards Quantifying Neurovascular Resilience -- Random 2.5D U-net for Fully 3D Segmentation -- Abdominal aortic aneurysm segmentation using convolutional neural networks trained with images generated with a synthetic shape model -- Tracking of intracavitary instrument markers in coronary angiography images -- Healthy Vessel Wall Detection Using U-Net in Optical Coherence Tomography -- Advanced Multi-objective Design Analysis to Identify Ideal Stent Design -- Simultaneous Intracranial Artery Tracing and Segmentation from Magnetic Resonance Angiography by Joint Optimization from Multiplanar Reformation. |
| Record Nr. | UNINA-9910349274303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart sensors and systems : technology advancement and application demonstrations / / Yongpan Liu, Youn-Long Lin, Chong-Min Kyung, Hiroto Yasuura, editors
| Smart sensors and systems : technology advancement and application demonstrations / / Yongpan Liu, Youn-Long Lin, Chong-Min Kyung, Hiroto Yasuura, editors |
| Pubbl/distr/stampa | Cham : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (207 pages) : illustrations |
| Disciplina | 681.2 |
| Soggetto topico |
Electronic circuits
Signal processing Image processing Speech processing systems Electronics Microelectronics Circuits and Systems Signal, Image and Speech Processing Electronics and Microelectronics, Instrumentation |
| ISBN | 3-030-42234-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Biomimetic Materials and Structures for Sensor Applications -- CMOS Integrated Lab-on-chip System for Personalized Biomedical Diagnosis -- Performance Enhancement of LED Spectrophotometry based on Pseudo BJT System -- mm-scale Sensors: Ultra-Low Power Sensor Platform for Future IoT Applications -- Smart Sensor Microsystems: Application-Dependent Design & Integration Approaches -- Energy Efficient RRAM Crossbar-based Neuromorphic Computation for Smart Camera -- NVRAM-Assisted Optimization Techniques for Flash Memory Management in Embedded Sensor Nodes -- Artificially engineered compound eye sensing systems -- Intelligent Vision Processing Technology for Advanced Driver Assistance Systems -- Implantable optical neural interface -- Realtime programmable closed-loop stimulation/recording platforms for deep brain stud, or Mobile ECG sensing and linear/nonlinear analysis systems -- Internet of Medical Things: the Next PC (personal care) Era -- UV Sensors based on Flexible Materials -- Urine Microchip Sensing System -- Construction of Indoor GPS and In-and-outdoor Integrated Navigation System -- Proximity-based Federation of Smart Objects and their Application Framework -- Edge Computing for Cooperative Real-Time Controls using Geospatial Big Data -- Challenges of Application of ICT in Cattle Management -- Data Health: Sensor Data Analysis for a Hospital and Developing Countries. |
| Record Nr. | UNINA-9910407727403321 |
| Cham : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart Sensors and Systems [[electronic resource] ] : Innovations for Medical, Environmental, and IoT Applications / / edited by Chong-Min Kyung, Hiroto Yasuura, Yongpan Liu, Youn-Long Lin
| Smart Sensors and Systems [[electronic resource] ] : Innovations for Medical, Environmental, and IoT Applications / / edited by Chong-Min Kyung, Hiroto Yasuura, Yongpan Liu, Youn-Long Lin |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (VIII, 521 p. 35 illus., 30 illus. in color.) |
| Disciplina | 621.3815 |
| Soggetto topico |
Electronic circuits
Electrical engineering Multimedia information systems Computer communication systems Circuits and Systems Communications Engineering, Networks Multimedia Information Systems Computer Communication Networks |
| ISBN | 3-319-33201-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biomimetic Materials and Structures for Sensor Applications -- A Multi-modal CMOS Sensor Platform towards Personalized DNA Sequencing -- Circuit Design in mm-Scale Sensor Platform for Future IoT Applications -- Smart Sensor Microsystems: Application-Dependent Design & Integration Approaches -- Energy Efficient RRAM Crossbar-based Approximate Computing for Smart Cameras -- NVRAM-Assisted Optimization Techniques for Flash Memory Management in Embedded Sensor Nodes -- Artificially engineered compound eye sensing systems -- Intelligent Vision Processing Technology for Advanced Driver Assistance Systems -- Implantable optical neural interface -- Realtime programmable closed-loop stimulation/recording platforms for deep brain study -- Internet of Medical Things: the Next PC (personal care) Era -- Functional Nanofibers for Flexible Electronics -- Urine Microchip Sensing System -- Building a Practical Global Indoor Positioning System -- Proximity-based Federation of Smart Objects and their Application Framework -- Edge Computing for Cooperative Real-Time Controls using Geospatial Big Data -- Challenges of Application of ICT in Cattle Management -- Health Sensor Data Analysis for a Hospital and Developing Countries. |
| Record Nr. | UNINA-9910136555003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart Sensors and Systems [[electronic resource] /] / edited by Youn-Long Lin, Chong-Min Kyung, Hiroto Yasuura, Yongpan Liu
| Smart Sensors and Systems [[electronic resource] /] / edited by Youn-Long Lin, Chong-Min Kyung, Hiroto Yasuura, Yongpan Liu |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (465 p.) |
| Disciplina | 620 |
| Soggetto topico |
Electronic circuits
Microprocessors Biomedical engineering Circuits and Systems Processor Architectures Electronic Circuits and Devices Biomedical Engineering and Bioengineering |
| ISBN | 3-319-14711-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | “C-chip” platform for electrical biomolecular sensors -- Chemomechanical Transduction Systems: A Sensing Platform by Surface Force Measurement -- Fully Printable Organic Transistor Technology for Sensor Transducer -- The Three-Dimensional Evolution of Hyperspectral Imaging -- Computational Photography Using Programmable Aperture -- Exploratory Visual Analytics for Winter Road Management using Statistically Preprocessed Probe-Car Data -- Novel metal oxide gas sensors for mobile devices -- Handheld Gas Sensing Systems -- Odor Sensing Technologies for Visualization of Odor Quality and Space -- Energy-Harvesting Smart Sensing Systems with Supercapacitor Based Energy Storage. |
| Record Nr. | UNINA-9910299836403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart Sensors at the IoT Frontier [[electronic resource] /] / edited by Hiroto Yasuura, Chong-Min Kyung, Yongpan Liu, Youn-Long Lin
| Smart Sensors at the IoT Frontier [[electronic resource] /] / edited by Hiroto Yasuura, Chong-Min Kyung, Yongpan Liu, Youn-Long Lin |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (VI, 378 p. 252 illus., 162 illus. in color.) |
| Disciplina | 621.3815 |
| Soggetto topico |
Electronic circuits
Signal processing Image processing Speech processing systems Electronics Microelectronics Circuits and Systems Signal, Image and Speech Processing Electronics and Microelectronics, Instrumentation |
| ISBN | 3-319-55345-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Smart Sensors at the IoT Frontier - Introduction -- Part I: Device technology for IoT -- Chapter1. Energy-Autonomous Supply-Sensing Biosensor Platform Using CMOS Electronics and Biofuel Cells -- Chapter2. Smart Microfluidic Biochips -- Chapter3. Reducing Timing Discrepancy for Energy-Efficient On-Chip Memory Architectures at Low-Voltage Mode -- Chapter4. Redesigning Software and Systems for Non-volatile Processors on Self-powered Devices -- Part II: Sensing technology for IoT -- Chapter5. OEICs for High Speed Data Links and Tympanic Membrane Transducer of Hearing-Aid Device -- Chapter6. Depth estimation using single camera with dual apertures -- Chapter7. Scintillator-based Electronic Personal Dosimeter for Mobile Application -- Part III System and application -- Chapter8. LED Spectrophotometry and Its Performance Enhancement based on Pseudo BJT -- Chapter9. An air quality and event detection system with life logging for monitoring household environments -- Chapter10. Mobile Crowdsensing to Collect Road Conditions and Events -- Chapter11. Sensing and Visualization in Agriculture with Affordable Smart Devices -- Chapter12. Learning Analytics for e-Book-Based Educational Big Data in Higher Education -- Chapter13. Security and Privacy in IoT Era. |
| Record Nr. | UNINA-9910293152403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||