Splat 2024


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Extended Reality


Extended Reality

Author: Lucio Tommaso De Paolis

language: en

Publisher: Springer Nature

Release Date: 2025-08-02


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The seven-volume set LNCS 15737-15743 constitutes the proceedings of the International Conference on Extended Reality, XR Salento 2025, held in Otranto, Italy, during June 17-20, 2025. The 128 full papers presented together with 65 short papers were carefully reviewed and selected from 256 submissions. The papers are organized in the following topical sections: Part I: Virtual Reality; and Augmented and Mixed Reality. Part II: Extended Reality; and Extended Reality in Education and Learning. Part III: Transforming Research and Clinical Interventions with eXtended Reality. Part IV: Digital Twin: Innovative Approaches in Industry and Healthcare. Part V: eXtended Reality for Cultural Tourism Sustainability; eXtended Reality for Art, Design, and Entertainment; and Digital Twin and Smart Virtual Representations for Cultural Heritage. Part VI: Crafting Virtual Humans for Immersive XR Applications; and eXtended Reality for Serious Games. Part VII: Artificial Intelligence; Integrating Artificial Intelligence, Computer Vision and Augmented Reality in Computer-Assisted Intervention; and AI-Driven XR Innovations in Healthcare: Bridging Technology and Ethics.

Network and Parallel Computing


Network and Parallel Computing

Author: Xu Chen

language: en

Publisher: Springer Nature

Release Date: 2025-03-28


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This two part LNCS 15227 and 15528 volumes constitutes the proceedings of the 20th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2024, which was held in Haikou, China, during December 7–8, 2024. The 76 full papers presented in this volume were carefully reviewed and selected from 200 submissions. They are organized according to the following topics: Part-I : High-performance and Parallel Computing; Novel Memory and Storage Systems; and Emerging Architectures and Systems. Part-II : Edge Computing and Intelligence; Federated Learning Algorithms and Systems; Emerging Networks; and In-network Computing and Processing.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2025


Medical Image Computing and Computer Assisted Intervention – MICCAI 2025

Author: James C. Gee

language: en

Publisher: Springer Nature

Release Date: 2025-09-20


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The 16-volume set LNCS 15960 - 15975 constitutes the refereed proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23–27, 2025. The total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. They were organized in topical parts as follows: Part I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging Part II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling Part III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I) Part IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II) Part V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging Part VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement Part VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging Part VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis Part IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I) Part X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II) Part XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III) Part XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV) Part XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I) Part XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II) Part XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III) Part XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods