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  • Produktbild: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops
  • Produktbild: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6–10, 2024, Proceedings

Aus der Reihe Lecture Notes in Computer Science
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59,99 € UVP 71,49 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.04.2025

Abbildungen

XIX, 99 illus., 95 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Anna Schroder + weitere

Verlag

Springer

Seitenzahl

262

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

435 g

Sprache

Englisch

ISBN

978-3-031-84524-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.04.2025

Abbildungen

XIX, 99 illus., 95 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

262

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

435 g

Sprache

Englisch

ISBN

978-3-031-84524-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops
  • Produktbild: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops

  • 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.