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

• Autore: Guo Xiaoqing
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (151 pages)
• Disciplina: 004
• Soggetto topico: Computer science; Computer Science
• Altri autori: JinYueming LamdouarHala MenQianhui OuyangCheng SahuManish VedulaS. Swaroop
• Nota di contenuto: -- 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.
• Sommario/riassunto: This book constitutes the refereed proceedings of the First International Workshop, HAIC 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, in September 27, 2025. The 9 full papers presented in this book were carefully selected and reviewed from 12 submissions. These papers have been organized in the following topical sections: Medical image computing; computer-assisted intervention; human-ai collaboration; human-computer interaction; human factor modeling; medical image analysis.
• Titolo autorizzato: Human-AI Collaboration
• ISBN: 9783032089700; 9783032089694
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911047829003321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 16214