The Resource Medical image computing and computer assisted intervention -- MICCAI 2019 : 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (eds.)
Medical image computing and computer assisted intervention -- MICCAI 2019 : 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (eds.)
Resource Information
The item Medical image computing and computer assisted intervention -- MICCAI 2019 : 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Medical image computing and computer assisted intervention -- MICCAI 2019 : 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.
This item is available to borrow from 1 library branch.
- Summary
- The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging
- Language
- eng
- Extent
- 1 online resource (xxxviiiI, 809 pages).
- Note
-
- International conference proceedings
- Includes author index
- Contents
-
- Hesis onse Estimation through Spatially Oriented Neural Network and Texture Ensemble (RESONATE)
- STructural Rectal Atlas Deformation (StRAD) features for characterizing intra- and peri-wall chemoradiation response on MRI
- Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis
- Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis
- Dynamic Spectral Convolution Networks with Assistant Task Training for Early MCI diagnosis
- Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework
- Global and Local Interpretability for Cardiac MRI Classification
- Let's agree to disagree: learning highly debatable multirater labelling
- Coidentifciation of group-level hole structures in brain networks via Hodge Laplacian
- Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers
- Image Reconstruction and Synthesis
- Detection and Correction of Cardiac MRI Motion Artefacts during Reconstruction from k-space
- Exploiting motion for deep learning reconstruction of extremely-undersampled dynamic MRI
- VS-Net: Variable spitting network for accelerated parallel MRI reconstruction
- A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning
- A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging
- Consensus Neural Network for Medical Image Denoising with Only Noisy Training Samples
- Consistent Brain Ageing Synthesis
- Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis using Unpaired Data
- Arterial Spin Labeling Images Synthesis via Locally-constrained WGAN-GP Ensemble
- SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis
- Wavelet-Based Semi-Supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI
- DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synt
- Isbn
- 9783030322519
- Label
- Medical image computing and computer assisted intervention -- MICCAI 2019 : 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV
- Title
- Medical image computing and computer assisted intervention -- MICCAI 2019
- Title remainder
- 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings
- Title number
- Part IV
- Statement of responsibility
- Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (eds.)
- Title variation
- MICCAI 2019
- Language
- eng
- Summary
- The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging
- Member of
-
- Online access with purchase: Springer
- LNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics
- LNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics.
- Lecture notes in computer science, 11767
- Lecture notes in computer science, 11767.
- Cataloging source
- GW5XE
- Dewey number
- 616.07/57
- Index
- index present
- LC call number
- RC78.7.D53
- Literary form
- non fiction
- http://bibfra.me/vocab/lite/meetingDate
- 2019
- http://bibfra.me/vocab/lite/meetingName
- International Conference on Medical Image Computing and Computer-Assisted Intervention
- Nature of contents
- dictionaries
- http://library.link/vocab/relatedWorkOrContributorDate
- 1948 January 5-
- http://library.link/vocab/relatedWorkOrContributorName
-
- Shen, Dinggang
- Liu, Tianming
- Peters, Terry M.
- Staib, Lawrence
- Essert, Caroline
- Zhou, Xiangyun Sean
- Yap, Pew-Thian
- Khan, Ali
- Series statement
-
- Lecture notes in computer science
- LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
- Series volume
- 11767
- http://library.link/vocab/subjectName
-
- Diagnostic imaging
- Computer-assisted surgery
- Label
- Medical image computing and computer assisted intervention -- MICCAI 2019 : 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (eds.)
- Note
-
- International conference proceedings
- Includes author index
- Antecedent source
- unknown
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Hesis onse Estimation through Spatially Oriented Neural Network and Texture Ensemble (RESONATE) -- STructural Rectal Atlas Deformation (StRAD) features for characterizing intra- and peri-wall chemoradiation response on MRI -- Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis -- Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis -- Dynamic Spectral Convolution Networks with Assistant Task Training for Early MCI diagnosis -- Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework -- Global and Local Interpretability for Cardiac MRI Classification -- Let's agree to disagree: learning highly debatable multirater labelling -- Coidentifciation of group-level hole structures in brain networks via Hodge Laplacian -- Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers -- Image Reconstruction and Synthesis -- Detection and Correction of Cardiac MRI Motion Artefacts during Reconstruction from k-space -- Exploiting motion for deep learning reconstruction of extremely-undersampled dynamic MRI -- VS-Net: Variable spitting network for accelerated parallel MRI reconstruction -- A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning -- A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging -- Consensus Neural Network for Medical Image Denoising with Only Noisy Training Samples -- Consistent Brain Ageing Synthesis -- Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis using Unpaired Data -- Arterial Spin Labeling Images Synthesis via Locally-constrained WGAN-GP Ensemble -- SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis -- Wavelet-Based Semi-Supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI -- DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synt
- Dimensions
- unknown
- Extent
- 1 online resource (xxxviiiI, 809 pages).
- File format
- unknown
- Form of item
- online
- Isbn
- 9783030322519
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-3-030-32251-9
- http://library.link/vocab/ext/overdrive/overdriveId
- com.springer.onix.9783030322519
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)1123174815
- Label
- Medical image computing and computer assisted intervention -- MICCAI 2019 : 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (eds.)
- Note
-
- International conference proceedings
- Includes author index
- Antecedent source
- unknown
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Hesis onse Estimation through Spatially Oriented Neural Network and Texture Ensemble (RESONATE) -- STructural Rectal Atlas Deformation (StRAD) features for characterizing intra- and peri-wall chemoradiation response on MRI -- Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis -- Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis -- Dynamic Spectral Convolution Networks with Assistant Task Training for Early MCI diagnosis -- Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework -- Global and Local Interpretability for Cardiac MRI Classification -- Let's agree to disagree: learning highly debatable multirater labelling -- Coidentifciation of group-level hole structures in brain networks via Hodge Laplacian -- Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers -- Image Reconstruction and Synthesis -- Detection and Correction of Cardiac MRI Motion Artefacts during Reconstruction from k-space -- Exploiting motion for deep learning reconstruction of extremely-undersampled dynamic MRI -- VS-Net: Variable spitting network for accelerated parallel MRI reconstruction -- A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning -- A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging -- Consensus Neural Network for Medical Image Denoising with Only Noisy Training Samples -- Consistent Brain Ageing Synthesis -- Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis using Unpaired Data -- Arterial Spin Labeling Images Synthesis via Locally-constrained WGAN-GP Ensemble -- SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis -- Wavelet-Based Semi-Supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI -- DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synt
- Dimensions
- unknown
- Extent
- 1 online resource (xxxviiiI, 809 pages).
- File format
- unknown
- Form of item
- online
- Isbn
- 9783030322519
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-3-030-32251-9
- http://library.link/vocab/ext/overdrive/overdriveId
- com.springer.onix.9783030322519
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)1123174815
Subject
Genre
Member of
- Online access with purchase: Springer
- LNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics
- LNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics.
- Lecture notes in computer science, 11767
- Lecture notes in computer science, 11767.
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Medical-image-computing-and-computer-assisted/6TW2enIsDHQ/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Medical-image-computing-and-computer-assisted/6TW2enIsDHQ/">Medical image computing and computer assisted intervention -- MICCAI 2019 : 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (eds.)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>