Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 : 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part IV (Original PDF from Publisher)

The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections:

Part I: image segmentation

Part II: machine learning – self-supervised learning; machine learning – semi-supervised learning; and machine learning – weakly supervised learning

Part III: machine learning – advances in machine learning theory; machine learning – attention models; machine learning – domain adaptation; machine learning – federated learning; machine learning – interpretability / explainability; and machine learning – uncertainty

Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality

Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction

Part VI: image reconstruction; clinical applications – cardiac; and clinical applications – vascular

Part VII: clinical applications – abdomen; clinical applications – breast; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – neuroimaging – brain development; clinical applications – neuroimaging – DWI and tractography; clinical applications – neuroimaging – functional brain networks; clinical applications – neuroimaging – others; and clinical applications – oncology

Part VIII: clinical applications – ophthalmology; computational (integrative) pathology; modalities – microscopy; modalities – histopathology; and modalities – ultrasound

*The conference was held virtually.

Product Details

• Publisher: Springer International Publishing; September 22, 2021
• Language: English
• ISBN: 978-3030872014
• ISBN: 9783030872014
• eText ISBN: 9783030872021