國立高雄大學圖資館 |

Language: English

Back

Medical image computing and computer assisted intervention - MICCAI 2024 WorkshopsLDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Medical image computing and computer assisted intervention - MICCAI 2024 Workshopsedited by Anna Schroder ... [et al.].
Reminder of title:	LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024 : proceedings /
remainder title:	MICCAI 2024 Workshops
other author:	Schroder, Anna.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xix, 262 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imagingCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-84525-3
ISBN:	9783031845253$q(electronic bk.)

Medical image computing and computer assisted intervention - MICCAI 2024 WorkshopsLDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024 : proceedings /
Medical image computing and computer assisted intervention - MICCAI 2024 WorkshopsLDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024 : proceedings /[electronic resource] :MICCAI 2024 Workshopsedited by Anna Schroder ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xix, 262 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,154011611-3349 ;. - Lecture notes in computer science ;4891..

LDTM Workshop -- Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application toParkinson's Disease trajectory modelling -- Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series -- Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease -- Toward, for the Alzheimer's Disease Neuroimaging Initiative Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling -- BachCuadraSegHeD: Segmentation of Heterogeneous Data for Multiple SclerosisLesions with Anatomical Constraints -- Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting -- Registration of Longitudinal Liver Examinations for Tumor ProgressAssessment -- Tracking lesion evolution using a Boundary Enhanced Approach for MS change segmentation (BEAMS) -- A Radiological-based Coordinate System for the Human Body: A Proof-of-Concept -- MMMI-ML4MHD Workshop -- Language Models Meet Anomaly Detection for Better Interpretabilityand Generalizability -- A Diffusion Model Embedded WCSAU-Net for 3D MRI Brain Tumor Segmentation -- Predicting Human Brain States with Transformer -- Modality Image Quality Prediction for Time-Resolved CT fromBreathing Signals -- RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs -- HyperMM : Robust Multimodal Learning with Varying-sized Inputs -- EMIT: H&E to Multiplex-immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator -- Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis -- ML-CDS Workshop -- MedPromptX: Grounded Multimodal Prompting for Chest X-rayDiagnosis -- Predicting Stroke through Retinal Graphs and Multimodal Self-supervised Learning -- Multimodality for Diagnosis of Asian Choroidal Vasculopathy: Resultsfrom a Novel Dataset and Deep-learning Experiments -- Multimodality Frequency Feature Customized Learning for PediatricVentricular Septal Defects Identification.

This book constitutes the proceedings from the workshops LDTM 2024, MMMI/ML4MHD 2024, and ML-CDS 2024 which were held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024. The papers included in this book stem from the following workshops: - LDTM 2024, Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, which accepted 13 papers from 15 submissions. - MMMI/ML4MHD 2024, the 5th International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, and the First Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024, from which 8 papers are included from a total of 14 submissions to the workshop - ML-CDS 2024, Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, which accepted 4 papers out of 5 submissions.

ISBN: 9783031845253$q(electronic bk.)

Standard No.: 10.1007/978-3-031-84525-3doiSubjects--Topical Terms:

387225
Diagnostic imaging
--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Medical image computing and computer assisted intervention - MICCAI 2024 WorkshopsLDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024 : proceedings /
LDR:04326nmm a2200385 a 4500 001 677499
003 DE-He213
005 20250412152433.0
006 m d
007 cr nn 008maaau
008 251021s2025 sz s 0 eng d
020 $a 9783031845253$q(electronic bk.)
020 $a 9783031845246$q(paper)
024 7 $a 10.1007/978-3-031-84525-3 $2 doi
035 $a 978-3-031-84525-3
040 $a GP $c GP
041 0 $a eng
050 4 $a RC78.7.D53
072 7 $a UYT $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYT $2 thema
082 0 4 $a 616.0754 $2 23
090 $a RC78.7.D53 $b I61 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Medical image computing and computer assisted intervention - MICCAI 2024 Workshops $h [electronic resource] : $b LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024 : proceedings / $c edited by Anna Schroder ... [et al.].
246 3 $a MICCAI 2024 Workshops
246 3 $a LDTM 2024
246 3 $a MMMI/ML4MHD 2024
246 3 $a ML-CDS 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xix, 262 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 15401
505 0 $a LDTM Workshop -- Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application toParkinson's Disease trajectory modelling -- Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series -- Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease -- Toward, for the Alzheimer's Disease Neuroimaging Initiative Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling -- BachCuadraSegHeD: Segmentation of Heterogeneous Data for Multiple SclerosisLesions with Anatomical Constraints -- Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting -- Registration of Longitudinal Liver Examinations for Tumor ProgressAssessment -- Tracking lesion evolution using a Boundary Enhanced Approach for MS change segmentation (BEAMS) -- A Radiological-based Coordinate System for the Human Body: A Proof-of-Concept -- MMMI-ML4MHD Workshop -- Language Models Meet Anomaly Detection for Better Interpretabilityand Generalizability -- A Diffusion Model Embedded WCSAU-Net for 3D MRI Brain Tumor Segmentation -- Predicting Human Brain States with Transformer -- Modality Image Quality Prediction for Time-Resolved CT fromBreathing Signals -- RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs -- HyperMM : Robust Multimodal Learning with Varying-sized Inputs -- EMIT: H&E to Multiplex-immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator -- Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis -- ML-CDS Workshop -- MedPromptX: Grounded Multimodal Prompting for Chest X-rayDiagnosis -- Predicting Stroke through Retinal Graphs and Multimodal Self-supervised Learning -- Multimodality for Diagnosis of Asian Choroidal Vasculopathy: Resultsfrom a Novel Dataset and Deep-learning Experiments -- Multimodality Frequency Feature Customized Learning for PediatricVentricular Septal Defects Identification.
520 $a This book constitutes the proceedings from the workshops LDTM 2024, MMMI/ML4MHD 2024, and ML-CDS 2024 which were held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024. The papers included in this book stem from the following workshops: - LDTM 2024, Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, which accepted 13 papers from 15 submissions. - MMMI/ML4MHD 2024, the 5th International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, and the First Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024, from which 8 papers are included from a total of 14 submissions to the workshop - ML-CDS 2024, Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, which accepted 4 papers out of 5 submissions.
650 0 $a Diagnostic imaging $v Congresses. $3 387225
650 0 $a Imaging systems in medicine $x Mathematics $v Congresses. $3 940062
650 1 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
700 1 $a Schroder, Anna. $3 991037
710 2 $a SpringerLink (Online service) $3 273601
711 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u https://doi.org/10.1007/978-3-031-84525-3
950 $a Computer Science (SpringerNature-11645)