Machine Learning for Medical Image Reconstruction (Record no. 173623)
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fixed length control field | 04649nam a22006495i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-17247-2 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240423125039.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783031172472 |
-- | 978-3-031-17247-2 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1007/978-3-031-17247-2 |
Source of number or code | doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | Q334-342 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | TA347.A78 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UYQ |
Source | bicssc |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | COM004000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UYQ |
Source | thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.3 |
Edition number | 23 |
245 10 - TITLE STATEMENT | |
Title | Machine Learning for Medical Image Reconstruction |
Medium | [electronic resource] : |
Remainder of title | 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / |
Statement of responsibility, etc | edited by Nandinee Haq, Patricia Johnson, Andreas Maier, Chen Qin, Tobias Würfl, Jaejun Yoo. |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2022. |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2022. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | VIII, 157 p. 83 illus., 54 illus. in color. |
Other physical details | online resource. |
336 ## - | |
-- | text |
-- | txt |
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337 ## - | |
-- | computer |
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-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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490 1# - SERIES STATEMENT | |
Series statement | Lecture Notes in Computer Science, |
International Standard Serial Number | 1611-3349 ; |
Volume number/sequential designation | 13587 |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Deep Learning for Magnetic Resonance Imaging -- Rethinking the optimization process for self-supervised model-driven MRI reconstruction -- NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data -- Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations -- High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors -- Metal artifact correction MRI using multi-contrast deep neural networks for diagnosis of degenerative spinal diseases -- Segmentation-Aware MRI Reconstruction -- MRI Reconstruction with Conditional Adversarial Transformers -- Deep Learning for General Image Reconstruction- A Noise-level-aware Framework for PET Image Denoising -- DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction -- Ce Wang, Kun Shang, Haimiao Zhang, Qian Li, and S. Kevin Zhou Deep Denoising Network for X-Ray Fluoroscopic Image Sequences of Moving Objects -- PP-MPI: A Deep Plug-and-Play Prior for Magnetic Particle Imaging Reconstruction -- Learning while Acquisition: Towards Active Learning Framework for Beamforming in Ultrasound Imaging -- DPDudoNet: Deep-Prior based Dual-domain Network for Low-dose Computed Tomography Reconstruction -- MTD-GAN: Multi-Task Discriminator based Generative Adversarial Networks for Low-Dose CT Denoising -- Uncertainty-Informed Bayesian PET Image Reconstruction using a Deep Image Prior. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2022, held in conjunction with MICCAI 2022, in September 2022, held in Singapore. The 15 papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Image processing |
General subdivision | Digital techniques. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computer vision. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computers. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Application software. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Artificial Intelligence. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computer Imaging, Vision, Pattern Recognition and Graphics. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computing Milieux. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computer and Information Systems Applications. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Haq, Nandinee. |
Relator term | editor. |
Relator code | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Johnson, Patricia. |
Relator term | editor. |
Relator code | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Maier, Andreas. |
Relator term | editor. |
Relator code | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Qin, Chen. |
Relator term | editor. |
Relator code | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Würfl, Tobias. |
Relator term | editor. |
Relator code | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Yoo, Jaejun. |
Relator term | editor. |
Relator code | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY | |
Title | Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Display text | Printed edition: |
International Standard Book Number | 9783031172465 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Display text | Printed edition: |
International Standard Book Number | 9783031172489 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Lecture Notes in Computer Science, |
-- | 1611-3349 ; |
Volume number/sequential designation | 13587 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-031-17247-2">https://doi.org/10.1007/978-3-031-17247-2</a> |
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912 ## - | |
-- | ZDB-2-LNC |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks-CSE-Springer |
No items available.