Medical Image Computing and Computer Assisted Intervention - MICCAI 2022: 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II

The 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, held in Singapore in September 2022, had 574 revised full papers, organized in eight volumes. The papers cover various topics in medical image computing and computer-assisted intervention, including brain development, pathology, anatomy, physiology, breast imaging, and more.

Format: Paperback / softback
Length: 767 pages
Publication date: 16 September 2022
Publisher: Springer International Publishing AG

The 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, was held in Singapore in September 2022, and its proceedings have been published in an eight-volume set, LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438. The conference received a total of 1831 submissions, from which 574 revised full papers were selected for inclusion in the proceedings through a double-blind review process. The papers are organized into eight topical sections:

Part I: Brain Development and Atlases
DWI and Tractography
Functional Brain Networks
Neuroimaging
Heart and Lung Imaging
Dermatology

Part II: Computational (Integrative) Pathology
Computational Anatomy and Physiology
Ophthalmology
Fetal Imaging

Part III: Breast Imaging
Colonoscopy
Computer Aided Diagnosis

Part IV: Microscopic Image Analysis
Positron Emission Tomography
Ultrasound Imaging
Video Data Analysis
Image Segmentation I

Part V: Image Segmentation II
Integration of Imaging with Non-Imaging Biomarkers

Part VI: Image Registration
Image Reconstruction

Part VII: Image-Guided Interventions and Surgery
Outcome and Disease Prediction
Surgical Data Science
Surgical Planning and Simulation
Machine Learning – Domain Adaptation and Generalization

Part VIII: Machine Learning – Weakly-Supervised Learning
Machine Learning – Model Interpretation
Machine Learning – Uncertainty
Machine Learning Theory and Methodologies

Weight: 1217g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031164330
Edition number: 1st ed. 2022