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Information Processing in Medical Imaging : 29th International Conference, IPMI 2025, Kos, Greece, May 25–30, 2025, Proceedings, Part II / edited by Ipek Oguz, Shaoting Zhang, Dimitris N. Metaxas.
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Author/Creator:
- Oguz, Ipek.
- Series:
- Lecture Notes in Computer Science, 1611-3349 ; 15830
- Language:
- English
- Subjects (All):
- Computer vision.
- Computer networks.
- Computer science--Mathematics.
- Computer science.
- Application software.
- Computer Vision.
- Computer Communication Networks.
- Mathematics of Computing.
- Computer and Information Systems Applications.
- Local Subjects:
- Computer Vision.
- Computer Communication Networks.
- Mathematics of Computing.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (664 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This two-volume set LNCS 15829-15830 constitutes the proceedings of the 29th International Conference on Information Processing in Medical Imaging, IPMI 2025, held on Kos, Greece, during May 25-30, 2025. The 51 full papers presented in this volume were carefully reviewed and selected from 143 submissions. They were organized in topical sections as follows: Part I: Classification/Detection; Registration; Reconstruction; Image synthesis; Image enhancement; and Segmentation. Part II: Computer-aided diagnosis/surgery; Brain; Diffusion models; Self-supervised learning; Vision-language models; Shape analysis; and Time-series image analysis.
- Contents:
- Computer-aided diagnosis/surgery: Concepts from Neurons: Building Interpretable Medical Image Diagnostic Models by Dissecting Opaque Neural Networks
- BioSonix: Can Physics-based Sonification Perceptualize Tissue Deformations from Tool Interactions? Brain: Explainable Deep Model for Understanding Neuropathological Events Through Neural Symbolic Regression
- A Multi-Layer Neural Transport Model for Characterizing Pathology Propagation in Neurodegenerative Diseases
- Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes
- Hierarchical Variable Importance with Statistical Control for Medical Data-Based Prediction
- Disentangle disease-relevant patterns from irrelevant patterns in fMRI analysis using equivariant and contrastive learning. Diffusion models: Continuous Diffusion Model for Self-supervised Denoising and Super-resolution on Fluorescence Microscopy Images
- Self-Supervised Denoising of Diffusion MRI Data with Efficient Collaborative Diffusion Model
- MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection. Self-supervised learning: Taming Masked Image Modeling for Chest X-ray Diagnosis by Incorporating Clinical Visual Priors
- Diffusion MAE: Paving the Way for Representation Learning of Diffusion MRI
- Resolving quantitative MRI model degeneracy in self-supervised machine learning. Vision-language models: Knowledge-enhanced Hyperbolic Language-Image Pretraining for Zero-shot Learning
- Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation
- Hierarchical CLIPs for Fine-grained Anatomical Lesion Localization from Whole-body PET/CT Images
- Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography
- Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models
- Full Conformal Adaptation of Medical Vision-Language Models
- A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text? Shape analysis: ToothForge: Automatic Dental Shape Generation using Synchronized Spectral Embeddings
- LEDA: Log-Euclidean Diffeomorphism Autoencoder for Efficient Statistical Analysis of Diffeomorphisms
- CoRLD: Contrastive Representation Learning of Deformable Shapes in Images. Time-series image analysis: 4DRGS: 4D Radiative Gaussian Splatting for Efficient 3D Vessel Reconstruction from Sparse-View Dynamic DSA Images
- Brightness-Invariant Tracking Estimation in Tagged MRI
- SafeTriage: Facial Video De-identification for Privacy-Preserving Stroke Triage.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-96625-2
- OCLC:
- 1534196172
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