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Artificial Intelligence in Medicine (Record no. 61973)

MARC details
000 -LEADER
fixed length control field 07161nam a22006495i 4500
001 - CONTROL NUMBER
control field 978-3-031-66535-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030112654.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240727s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031665356
-- 978-3-031-66535-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-66535-6
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
245 10 - TITLE STATEMENT
Title Artificial Intelligence in Medicine
Medium [electronic resource] :
Remainder of title 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9–12, 2024, Proceedings, Part II /
Statement of responsibility, etc. edited by Joseph Finkelstein, Robert Moskovitch, Enea Parimbelli.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XXVII, 366 p. 121 illus., 110 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume/sequential designation 14845
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note -- Medical imaging analysis. -- 3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network. -- A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images. -- AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images using Weakly Supervised Deep Learning. -- An Exploration of Diabetic Foot Osteomyelitis X-ray Data for Deep Learning Applications. -- Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT. -- Content-Based Medical Image Retrieval for Medical Radiology Images. -- Cross-Modality Synthesis of T1c MRI from Non-Contrast Images Using GANs: Implications for Brain Tumor Research. -- Harnessing the Power of Graph Propagation in Lung Nodule Detection. -- Histology Image Artifact Restoration with Lightweight Transformer and Diffusion Model. -- Improved Glioma Grade Prediction with Mean Image Transformation. -- Learning to Predict the Optimal Template in Stain Normalization For Histology Image Analysis. -- MRI Brain Cancer Image Detection Application of an Integrated U-Net and ResNet50 Architecture. -- MRI Scan Synthesis Methods based on Clustering and Pix2Pix. -- Supervised Pectoral Muscle Removal in Mammography Images. -- TinySAM-Med3D: A Lightweight Segment Anything Model for Volumetric Medical Imaging with Mixture of Experts. -- Towards a Formal Description of Artificial Intelligence Models and Datasets in Radiology. -- Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification. -- Ultrasound Image Segmentation via a Multi-Scale Salient Network. -- Data integration and multimodal analysis. -- A 360-Degree View for Large Language Models: Early Detection of Amblyopia in Children using Multi-View Eye Movement Recordings. -- Enhancing Anti-VEGF Response Prediction in Diabetic Macular Edema through OCT Features and Clinical Data Integration based on Deep Learning. -- Expert Insight-Enhanced Follow-up Chest X-Ray Summary Generation. -- Integrating multimodal patient data into attention-based graph networks for disease risk prediction. -- Integrative analysis of amyloid imaging and genetics reveals subtypes of Alzheimer progression in early stage. -- Modular Quantitative Temporal Transformer for Biobank-scale Unified Representations. -- Multimodal Fusion of Echocardiography and Electronic Health Records for the Detection of Cardiac Amyloidosis. -- Multi-View $k$-Nearest Neighbor Graph Contrastive Learning on Multi-Modal Biomedical Data. -- Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-based models and clinical text. -- Explainable AI. -- Do you trust your model explanations? An analysis of XAI performance under dataset shift. -- Explainable AI for Fair Sepsis Mortality Predictive Model. -- Explanations of Augmentation Methods For Deep Learning ECG Classification. -- Exploring the possibility of arrhythmia interpretation of time domain ECG using XAI: a preliminary study. -- Improving XAI Explanations for Clinical Decision-Making – Physicians’ Perspective on Local Explanations in Healthcare. -- Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians. -- On Identifying Effective Investigations with Feature Finding using Explainable AI: an Ophthalmology Case Study. -- Towards Interactive and Interpretable Image Retrieval-Based Diagnosis: Enhancing Brain Tumor Classification with LLM Explanations and Latent Structure Preservation. -- Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation.
520 ## - SUMMARY, ETC.
Summary, etc. This two-volume set LNAI 14844-14845 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Medicine, AIME 2024, held in Salt Lake City, UT, USA, during July 9-12, 2024. The 54 full papers and 22 short papers presented in the book were carefully reviewed and selected from 335 submissions. The papers are grouped in the following topical sections: Part I: Predictive modelling and disease risk prediction; natural language processing; bioinformatics and omics; and wearable devices, sensors, and robotics. Part II: Medical imaging analysis; data integration and multimodal analysis; and explainable AI.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58441
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 60157
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 60571
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 6941
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58441
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 65689
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 60571
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Finkelstein, Joseph.
Relator term editor.
Authority record control number (orcid)0000-0002-8084-7441
-- https://orcid.org/0000-0002-8084-7441
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 81396
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Moskovitch, Robert.
Relator term editor.
Authority record control number (orcid)0000-0002-2138-5080
-- https://orcid.org/0000-0002-2138-5080
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 81397
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Parimbelli, Enea.
Relator term editor.
Authority record control number (orcid)0000-0003-0679-828X
-- https://orcid.org/0000-0003-0679-828X
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 81398
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
Relationship information Printed edition:
International Standard Book Number 9783031665349
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031665363
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume number/sequential designation 14845
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-66535-6">https://doi.org/10.1007/978-3-031-66535-6</a>
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