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| Link zu diesem Datensatz | https://d-nb.info/1380286050 | 
| Titel | Human-AI Collaboration : First International Workshop, HAIC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings / edited by Xiaoqing Guo, Yueming Jin, Hala Lamdouar, Qianhui Men, Cheng Ouyang, Manish Sahu, S. Swaroop Vedula | 
| Person(en) | Guo, Xiaoqing (Herausgeber) Jin, Yueming (Herausgeber) Lamdouar, Hala (Herausgeber) Men, Qianhui (Herausgeber) Ouyang, Cheng (Herausgeber) Sahu, Manish (Herausgeber) Vedula, S. Swaroop (Herausgeber) | 
| Organisation(en) | SpringerLink (Online service) (Sonstige) | 
| Ausgabe | 1st ed. 2026 | 
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer | 
| Zeitliche Einordnung | Erscheinungsdatum: 2026 | 
| Umfang/Format | Online-Ressource, X, 104 p. 39 illus., 33 illus. in color. : online resource. | 
| Andere Ausgabe(n) | Printed edition:: ISBN: 978-3-032-08969-4 Printed edition:: ISBN: 978-3-032-08971-7 | 
| Inhalt | -- Design and assessment for joint systems and workflows. -- Beyond Manual Annotation: A Human-AI Collaborative Framework for Medical Image Segmentation Using Only “Better or Worse” Expert Feedback. -- A methodology for clinically driven interactive segmentation evaluation. -- Interactive environments for clinical training, education,and human-AI teaming. -- Explainable AI for Automated User-specific Feedback in Surgical Skill Acquisition. -- Real-Time, Dynamic, and Highly Generalizable Ultrasound Image Simulation-Guided Procedure Training System for Musculoskeletal Minimally Invasive Treatment. -- Human-in-the-loop model training. -- Learning What is Worth Learning: Active and Sequential Domain Adaptation for Multi-modal Gross Tumor Volume Segmentation. -- Guided Active Learning for Medical Image Segmentation. -- Applications of human-AI interaction, collaboration, and human factor analysis. -- User Perception of Attention Visualizations: Effects on Interpretability Across Evidence-Based Medical Documents. -- Simulating Inter-observer Variability Across Clinical Experience Levels. -- Boosting transparency, interpretability, and risk management. -- Perceptual Evaluation of GANs and Diffusion Models for Generating X-rays | 
| Persistent Identifier | URN: urn:nbn:de:101:1-2510300320247.680398217587 DOI: 10.1007/978-3-032-08970-0 | 
| URL | https://doi.org/10.1007/978-3-032-08970-0 | 
| ISBN/Einband/Preis | 978-3-032-08970-0 | 
| Sprache(n) | Englisch (eng) | 
| Beziehungen | Lecture Notes in Computer Science ; 16214 | 
| Sachgruppe(n) | 004 Informatik | 
| Online-Zugriff | Archivobjekt öffnen | 
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