LEADER 06266nam 22006735 450 001 996655268903316 005 20250412152433.0 010 $a3-031-84525-0 024 7 $a10.1007/978-3-031-84525-3 035 $a(CKB)38429173900041 035 $a(DE-He213)978-3-031-84525-3 035 $a(MiAaPQ)EBC32007796 035 $a(Au-PeEL)EBL32007796 035 $a(OCoLC)1524422433 035 $a(EXLCZ)9938429173900041 100 $a20250412d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMedical Image Computing and Computer Assisted Intervention ? MICCAI 2024 Workshops $eLDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6?10, 2024, Proceedings /$fedited by Anna Schroder, Xiang Li, Tanveer Syeda-Mahmood, Neil P. Oxtoby, Alexandra Young, Alessa Hering, Tejas S. Mathai, Pritam Mukherjee, Sven Kuckertz, Tiantian He, Isaac Llorente-Saguer, Andreas Maier, Satyananda Kashyap, Hayit Greenspan, Anant Madabhushi 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XIX, 262 p. 99 illus., 95 illus. in color.) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15401 311 08$a3-031-84524-2 327 $aLDTM 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. 330 $aThis book constitutes the proceedings from the workshops LDTM 2024, MMMI/ML4MHD 2024, and ML-CDS 2024 which were held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024. The papers included in this book stem from the following workshops: - LDTM 2024, Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, which accepted 13 papers from 15 submissions. - MMMI/ML4MHD 2024, the 5th International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, and the First Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024, from which 8 papers are included from a total of 14 submissions to the workshop - ML-CDS 2024, Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, which accepted 4 papers out of 5 submissions. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15401 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a006 702 $aSchroder$b Anna$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLi$b Xiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSyeda-Mahmood$b Tanveer$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aOxtoby$b Neil P$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYoung$b Alexandra$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHering$b Alessa$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMathai$b Tejas S$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMukherjee$b Pritam$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKuckertz$b Sven$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHe$b Tiantian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLlorente-Saguer$b Isaac$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMaier$b Andreas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKashyap$b Satyananda$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGreenspan$b Hayit$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMadabhushi$b Anant$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996655268903316 996 $aMedical Image Computing and Computer Assisted Intervention ? MICCAI 2024 Workshops$94373627 997 $aUNISA