Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound [[electronic resource] ] : International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, João Manuel R.S. Tavares, Stephen Aylward, Shuo Li, Emad Boctor, Gabor Fichtinger, Kevin Cleary, Bradley Freeman, Luv Kohli, Deborah Shipley Kane, Matt Oetgen, Sonja Pujol |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XV, 164 p. 99 illus.) |
Disciplina | 610.285 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Health informatics Computer communication systems Data mining Image Processing and Computer Vision Health Informatics Computer Communication Networks Data Mining and Knowledge Discovery |
ISBN | 3-319-67552-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996465974603316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound : International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, João Manuel R.S. Tavares, Stephen Aylward, Shuo Li, Emad Boctor, Gabor Fichtinger, Kevin Cleary, Bradley Freeman, Luv Kohli, Deborah Shipley Kane, Matt Oetgen, Sonja Pujol |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XV, 164 p. 99 illus.) |
Disciplina | 610.285 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Health informatics Computer communication systems Data mining Image Processing and Computer Vision Health Informatics Computer Communication Networks Data Mining and Knowledge Discovery |
ISBN | 3-319-67552-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910483327503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Information Processing in Medical Imaging [[electronic resource] ] : 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings / / edited by Marc Niethammer, Martin Styner, Stephen Aylward, Hongtu Zhu, Ipek Oguz, Pew-Thian Yap, Dinggang Shen |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XVI, 687 p. 285 illus.) |
Disciplina | 616.0754 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Pattern recognition Health informatics Radiology Artificial intelligence Mathematical statistics Image Processing and Computer Vision Pattern Recognition Health Informatics Imaging / Radiology Artificial Intelligence Probability and Statistics in Computer Science |
ISBN | 3-319-59050-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Analysis on manifolds -- Shape analysis -- Disease diagnosis/progression -- Brain networks an connectivity -- Diffusion imaging -- Quantitative imaging -- Imaging genomics -- Image registration -- Segmentation -- General image analysis. <. |
Record Nr. | UNISA-996466205003316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
Information Processing in Medical Imaging : 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings / / edited by Marc Niethammer, Martin Styner, Stephen Aylward, Hongtu Zhu, Ipek Oguz, Pew-Thian Yap, Dinggang Shen |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XVI, 687 p. 285 illus.) |
Disciplina | 616.0754 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Pattern recognition Health informatics Radiology Artificial intelligence Mathematical statistics Image Processing and Computer Vision Pattern Recognition Health Informatics Imaging / Radiology Artificial Intelligence Probability and Statistics in Computer Science |
ISBN | 3-319-59050-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Analysis on manifolds -- Shape analysis -- Disease diagnosis/progression -- Brain networks an connectivity -- Diffusion imaging -- Quantitative imaging -- Imaging genomics -- Image registration -- Segmentation -- General image analysis. <. |
Record Nr. | UNINA-9910484399503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Simplifying medical ultrasound : third international workshop, ASMUS 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, proceedings / / edited by Stephen Aylward [and five others] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (202 pages) |
Disciplina | 616.07543 |
Collana | Lecture Notes in Computer Science |
Soggetto topico | Diagnostic ultrasonic imaging - Image quality |
ISBN | 3-031-16902-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996490361503316 |
Cham, Switzerland : , : Springer, , [2022] | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
Simplifying medical ultrasound : third international workshop, ASMUS 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, proceedings / / edited by Stephen Aylward [and five others] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (202 pages) |
Disciplina | 616.07543 |
Collana | Lecture Notes in Computer Science |
Soggetto topico | Diagnostic ultrasonic imaging - Image quality |
ISBN | 3-031-16902-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910595048303321 |
Cham, Switzerland : , : Springer, , [2022] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation [[electronic resource] ] : International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceedings / / edited by Danail Stoyanov, Zeike Taylor, Stephen Aylward, João Manuel R.S. Tavares, Yiming Xiao, Amber Simpson, Anne Martel, Lena Maier-Hein, Shuo Li, Hassan Rivaz, Ingerid Reinertsen, Matthieu Chabanas, Keyvan Farahani |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XIX, 204 p. 79 illus.) |
Disciplina | 616.07540285 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Artificial intelligence Health informatics Computer communication systems Computer hardware Image Processing and Computer Vision Artificial Intelligence Health Informatics Computer Communication Networks Computer Hardware |
ISBN | 3-030-01045-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Robust Photoacoustic Beamforming using Dense Convolutional Neural Networks -- A Training Tool for Ultrasound-guided Central Line Insertion with Webcam-based Position Tracking -- GLUENet: Ultrasound Elastography Using Convolutional Neural Network -- CUST: CNN for Ultrasound thermal image reconstruction using Sparse Time-of-flight information -- Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN -- Recent Advances in Point-of-Care Ultrasound using the ImFusion Suite for Real-Time Image Analysis -- Markerless Inside-Out Tracking for 3D Ultrasound Compounding -- Ultrasound-based Detection of Lung Abnormalities using Single Shot Detection Convolutional Neural Networks -- Quantitative Echocardiography: Real-time Quality Estimation and View Classification Implemented on a Mobile Android Device -- Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study -- A novel interventional guidance framework for transseptal puncture in left atrial interventions -- Holographic visualisation and interaction of fused CT, PET and MRI volumetric medical imaging data using dedicated remote GPGPU ray casting -- Mr. Silva and Patient Zero: a medical social network and data visualization information system -- Fully Convolutional Network-based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model -- Resolve Intraoperative Brain Shift as Imitation Game -- Non-linear approach for MRI to intra-operative US registration using structural skeleton -- Brain-shift correction with image-based registration and landmark accuracy evaluation -- Deformable MRI-ultrasound Registration Using 3D Convolutional Neural Network -- Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool -- Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-saliency Weighting for Image guided Neurosurgery -- Registration of MRI and iUS data to compensate brain shift using a symmetric block-matching based approach -- Intra-operative Brain Shift Correction with Weighted Locally Linear Correlations of 3DUS and MRI -- Survival modeling of pancreatic cancer with radiology using convolutional neural networks -- Pancreatic Cancer Survival Prediction Using CT Scans and Clinical Variables. |
Record Nr. | UNISA-996466332703316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation : International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceedings / / edited by Danail Stoyanov, Zeike Taylor, Stephen Aylward, João Manuel R.S. Tavares, Yiming Xiao, Amber Simpson, Anne Martel, Lena Maier-Hein, Shuo Li, Hassan Rivaz, Ingerid Reinertsen, Matthieu Chabanas, Keyvan Farahani |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XIX, 204 p. 79 illus.) |
Disciplina |
616.07540285
616.0757 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Artificial intelligence Health informatics Computer communication systems Computer hardware Image Processing and Computer Vision Artificial Intelligence Health Informatics Computer Communication Networks Computer Hardware |
ISBN | 3-030-01045-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Robust Photoacoustic Beamforming using Dense Convolutional Neural Networks -- A Training Tool for Ultrasound-guided Central Line Insertion with Webcam-based Position Tracking -- GLUENet: Ultrasound Elastography Using Convolutional Neural Network -- CUST: CNN for Ultrasound thermal image reconstruction using Sparse Time-of-flight information -- Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN -- Recent Advances in Point-of-Care Ultrasound using the ImFusion Suite for Real-Time Image Analysis -- Markerless Inside-Out Tracking for 3D Ultrasound Compounding -- Ultrasound-based Detection of Lung Abnormalities using Single Shot Detection Convolutional Neural Networks -- Quantitative Echocardiography: Real-time Quality Estimation and View Classification Implemented on a Mobile Android Device -- Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study -- A novel interventional guidance framework for transseptal puncture in left atrial interventions -- Holographic visualisation and interaction of fused CT, PET and MRI volumetric medical imaging data using dedicated remote GPGPU ray casting -- Mr. Silva and Patient Zero: a medical social network and data visualization information system -- Fully Convolutional Network-based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model -- Resolve Intraoperative Brain Shift as Imitation Game -- Non-linear approach for MRI to intra-operative US registration using structural skeleton -- Brain-shift correction with image-based registration and landmark accuracy evaluation -- Deformable MRI-ultrasound Registration Using 3D Convolutional Neural Network -- Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool -- Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-saliency Weighting for Image guided Neurosurgery -- Registration of MRI and iUS data to compensate brain shift using a symmetric block-matching based approach -- Intra-operative Brain Shift Correction with Weighted Locally Linear Correlations of 3DUS and MRI -- Survival modeling of pancreatic cancer with radiology using convolutional neural networks -- Pancreatic Cancer Survival Prediction Using CT Scans and Clinical Variables. |
Record Nr. | UNINA-9910349403203321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|