東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Machine learning in clinical neuroim...

MLCN (Workshop) (2024 :)

FindBook

Google Book

Amazon

博客來

Machine learning in clinical neuroimaging = 7th International workshop, MLCN 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning in clinical neuroimaging/ edited by Deepti R. Bathula ... [et al.].
其他題名:	7th International workshop, MLCN 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
其他題名:	MLCN 2024
其他作者:	Bathula, Deepti R.
團體作者:	MLCN (Workshop)
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xi, 178 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Machine learning. -- Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations. -- ProxiMO: Proximal Multi-Operator Networks for Quantitative Susceptibility Mapping. -- Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. -- HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks. -- SpaRG - Sparsely Reconstructed Graphs for Generalizable fMRI Analysis. -- A Lightweight 3D Conditional Diffusion Model for Self-Explainable Brain Age Prediction in Adults and Children. -- SOE: SO(3)-Equivariant 3D MRI Encoding. -- Towards a foundation model for cortical folding. -- Clinical Applications. -- A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia. -- DISARM: Disentangled Scanner-free Image Generation via Unsupervised Image2Image Translation. -- Segmenting Small Stroke Lesions with Novel Labeling Strategies. -- A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis. -- Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in Alzheimer's disease and related dementias. -- Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism Detection. -- Is Your Style Transfer Doing Anything Useful? An Investigation Into Hippocampus Segmentation and the Role of Preprocessing. -- GAMing the Brain: Investigating the Cross-modal Relationships between Functional Connectivity and Structural Features using Generalized Additive Models.
Contained By:	Springer Nature eBook
標題:	Diagnostic imaging - Congresses. - Digital techniques -
電子資源:	https://doi.org/10.1007/978-3-031-78761-4
ISBN:	9783031787614

Machine learning in clinical neuroimaging = 7th International workshop, MLCN 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
Machine learning in clinical neuroimaging7th International workshop, MLCN 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /[electronic resource] :MLCN 2024edited by Deepti R. Bathula ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xi, 178 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,152660302-9743 ;. - Lecture notes in computer science ;15266..

Machine learning. -- Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations. -- ProxiMO: Proximal Multi-Operator Networks for Quantitative Susceptibility Mapping. -- Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. -- HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks. -- SpaRG - Sparsely Reconstructed Graphs for Generalizable fMRI Analysis. -- A Lightweight 3D Conditional Diffusion Model for Self-Explainable Brain Age Prediction in Adults and Children. -- SOE: SO(3)-Equivariant 3D MRI Encoding. -- Towards a foundation model for cortical folding. -- Clinical Applications. -- A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia. -- DISARM: Disentangled Scanner-free Image Generation via Unsupervised Image2Image Translation. -- Segmenting Small Stroke Lesions with Novel Labeling Strategies. -- A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis. -- Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in Alzheimer's disease and related dementias. -- Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism Detection. -- Is Your Style Transfer Doing Anything Useful? An Investigation Into Hippocampus Segmentation and the Role of Preprocessing. -- GAMing the Brain: Investigating the Cross-modal Relationships between Functional Connectivity and Structural Features using Generalized Additive Models.

This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2024, held in Conjunction with MICCAI 2024 in Marrakesh, Morocco, on 10th October 2024. The 16 full papers presented in this volume were carefully reviewed and selected from 28 submissions. They are grouped into the following topics: machine learning; clinical applications.

ISBN: 9783031787614

Standard No.: 10.1007/978-3-031-78761-4doiSubjects--Topical Terms:

893046
Diagnostic imaging
--Digital techniques--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning in clinical neuroimaging = 7th International workshop, MLCN 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
LDR:03288nmm a2200361 a 4500 001 2408086
003 DE-He213
005 20241207115247.0
006 m o d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031787614 $q (electronic bk.)
020 $a 9783031787607 $q (paper)
024 7 $a 10.1007/978-3-031-78761-4 $2 doi
035 $a 978-3-031-78761-4
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
072 7 $a UYQV $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQV $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .M685 2024
111 2 $a MLCN (Workshop) $n (7th : $d 2024 : $c Marrakech, Morocco) $3 3780323
245 1 0 $a Machine learning in clinical neuroimaging $h [electronic resource] : $b 7th International workshop, MLCN 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings / $c edited by Deepti R. Bathula ... [et al.].
246 3 $a MLCN 2024
246 3 $a MICCAI 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xi, 178 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 15266
505 0 $a Machine learning. -- Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations. -- ProxiMO: Proximal Multi-Operator Networks for Quantitative Susceptibility Mapping. -- Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning. -- HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks. -- SpaRG - Sparsely Reconstructed Graphs for Generalizable fMRI Analysis. -- A Lightweight 3D Conditional Diffusion Model for Self-Explainable Brain Age Prediction in Adults and Children. -- SOE: SO(3)-Equivariant 3D MRI Encoding. -- Towards a foundation model for cortical folding. -- Clinical Applications. -- A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia. -- DISARM: Disentangled Scanner-free Image Generation via Unsupervised Image2Image Translation. -- Segmenting Small Stroke Lesions with Novel Labeling Strategies. -- A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis. -- Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in Alzheimer's disease and related dementias. -- Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism Detection. -- Is Your Style Transfer Doing Anything Useful? An Investigation Into Hippocampus Segmentation and the Role of Preprocessing. -- GAMing the Brain: Investigating the Cross-modal Relationships between Functional Connectivity and Structural Features using Generalized Additive Models.
520 $a This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2024, held in Conjunction with MICCAI 2024 in Marrakesh, Morocco, on 10th October 2024. The 16 full papers presented in this volume were carefully reviewed and selected from 28 submissions. They are grouped into the following topics: machine learning; clinical applications.
650 0 $a Diagnostic imaging $x Digital techniques $v Congresses. $3 893046
650 0 $a Machine learning $x Congresses. $3 576368
650 0 $a Electronic data processing $x Distributed processing $v Congresses. $3 622708
650 1 4 $a Computer Vision. $3 3538524
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Computing Milieux. $3 893243
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 3538516
700 1 $a Bathula, Deepti R. $3 3780324
710 2 $a SpringerLink (Online service) $3 836513
711 2 $a International Conference on Medical Image Computing and Computer-Assisted Intervention $n (27th : $d 2024 : $c Marrakech, Morocco) $3 3724079
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 15266. $3 3780325
856 4 0 $u https://doi.org/10.1007/978-3-031-78761-4
950 $a Computer Science (SpringerNature-11645)