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Online Ressourcen
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

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