The 542 revised full papers presented were carefully reviewed and selected from 1809 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 – 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: 978-3030872397
- ISBN: 9783030872397
- eText ISBN: 9783030872403
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