Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 : 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VI (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 23, 2021
• Language: English
• ISBN: 978-3030872335
• ISBN: 9783030872335
• eText ISBN: 9783030872342