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Medical Image Computing and Computer Assisted Intervention MICCAI 2021: 24th International Conference, Strasbourg, France, September 27October 1, 2021, Proceedings, Part IV 1st ed. 2021 [Pehme köide]

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  • Formaat: Paperback / softback, 682 pages, kõrgus x laius: 235x155 mm, kaal: 1086 g, 8 Illustrations, black and white; XXXVII, 682 p. 8 illus., 1 Paperback / softback
  • Sari: Image Processing, Computer Vision, Pattern Recognition, and Graphics 12904
  • Ilmumisaeg: 23-Sep-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030872017
  • ISBN-13: 9783030872014
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  • Formaat: Paperback / softback, 682 pages, kõrgus x laius: 235x155 mm, kaal: 1086 g, 8 Illustrations, black and white; XXXVII, 682 p. 8 illus., 1 Paperback / softback
  • Sari: Image Processing, Computer Vision, Pattern Recognition, and Graphics 12904
  • Ilmumisaeg: 23-Sep-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030872017
  • ISBN-13: 9783030872014
Teised raamatud teemal:
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*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.
Image Registration.- Medical Image Registration Based on Uncoupled
Learning and Accumulative Enhancement.- Atlas-Based Segmentation of
Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with
Co-trained Deep Neural Networks.- Learning Unsupervised Parameter-specific
Affine Transformation for Medical Images Registration.- Conditional
Deformable Image Registration with Convolutional Neural Network.- A Deep
Discontinuity-Preserving Image Registration Network.- End-to-end Ultrasound
Frame to Volume Registration.- Cross-modal Attention for MRI and Ultrasound
Volume Registration.- Bayesian Atlas Building with Hierarchical Priors for
Subject-specific Regularization.- SAME: Deformable Image Registration based
on Self-supervised Anatomical Embeddings.- Weakly Supervised Registration of
Prostate MRI and Histopathology Images.- 4D-CBCT Registration with a
FBCT-derived Plug-and-Play Feasibility Regularizer.- Unsupervised
Diffeomorphic Surface Registration and Non-Linear Modelling.- Learning Dual
Transformer Network for Diffeomorphic Registration.- Construction of
Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep
Learning.- Nesterov Accelerated ADMM for Fast Diffeomorphic Image
Registration.- Spectral Embedding Approximation and Descriptor Learning for
Craniofacial Volumetric Image Correspondence.- A Deep Network for Joint
Registration and Parcellation of Cortical Surfaces.- 4D-Foot: A fully
automated pipeline of four-dimensional analysis of the foot bones using
bi-plane X-ray video and CT.- Equivariant Filters for Efficient Tracking in
3D Imaging.- Revisiting iterative highly efficient optimisation schemes in
medical image registration.- Multi-scale Neural ODEs for 3D Medical Image
Registration.- Image-Guided Interventions and Surgery.- Self-Supervised
Generative Adversarial Network for Depth Estimation in Laparoscopic Images.-
Personalized Respiratory Motion Model Using Conditional Generative Networks
for MR-Guided Radiotherapy.- Multimodal Sensing Guidewire for C-arm
Navigation with Random UV Enhanced Optical Sensors using Spatio-temporal
Networks.- Image-to-Graph Convolutional Network for Deformable Shape
Reconstruction from a Single Projection Image.- Class-Incremental Domain
Adaptation with Smoothing and Calibration for Surgical Report Generation.-
Real-Time Rotated Convolutional Descriptor for Surgical Environments.-
Surgical Instruction Generation with Transformers.- Adversarial Domain
Feature Adaptation for Bronchoscopic Depth Estimation.- 2.5D Thermometry Maps
for MRI-guided Tumor Ablation.- Detection of critical structures in
laparoscopic cholecystectomy using label relaxation and self-supervision.-
EMDQ-SLAM: Real-time High-resolution Reconstruction of Soft Tissue Surface
from Stereo Laparoscopy Videos.- Efficient Global-Local Memory for Real-time
Instrument Segmentation of Robotic Surgical Video.- C-arm positioning for
spinal standard projections in different intra-operative settings.-
Quantitative Assessments for Ultrasound Probe Calibration.- Intra-operative
Update of Boundary Conditions for Patient-specific Surgical Simulation.- Deep
Iterative 2D/3D Registration.- hSDB-instrument: Instrument Localization
Database for Laparoscopic and Robotic Surgeries.- Co-Generation and
Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled
Data.- Surgical Data Science.- E-DSSR: Efficient Dynamic Surgical Scene
Reconstruction with Transformer-based Stereoscopic Depth Perception.-
CataNet: Predicting remaining cataract surgery duration.- Task Fingerprinting
for Meta Learning in Biomedical Image Analysis.- Acoustic-based
Spatio-temporal Learning for Press-fit Evaluation of Femoral Stem Implants.-
Surgical Planning and Simulation.- Deep Simulation of Facial Appearance
Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical
Planning.- A self-supervised deep framework for reference bony shape
estimation in orthognathic surgical planning.-DLLNet: An Attention-based Deep
Learning Method for Dental Landmark Localization on High-Resolution 3D
Digital Dental Models.- Personalized CT Organ Dose Estimation from Scout
Images.- High-particle simulation of Monte-Carlo dose distribution with 3D
ConvLSTMs.- Effective semantic segmentation in Cataract surgery: What matters
most?.-  Facial and cochlear nerves characterization using deep reinforcement
learning for landmark detection.- Patient-specific virtual spine
straightening and vertebra inpainting: An automatic framework for osteoplasty
planning.- A new Approach to Orthopedic Surgery Planning using Deep
Reinforcement Learning and Simulation.- Whole Heart Mesh Generation For
Image-Based Computational Simulations By Learning Free-From Deformations.-
Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction
Surgery.- Improving hexahedral-FEM-based plasticity in surgery simulation.-
Rapid treatment planning for low-dose-rate prostate brachytherapy with
TP-GAN.- Surgical Skill and Work Flow Analysis.- Trans-SVNet: Accurate Phase
Recognition from Surgical Videos via Hybrid Embedding Aggregation
Transformer.- OperA: Attention-Regularized Transformers for Surgical Phase
Recognition.- Surgical Workflow Anticipation using Instrument Interaction.-
Multi-View Surgical Video Action Detection via Mixed Global View Attention.-
Interhemispheric functional connectivity in the primary motor cortex
distinguishes between training on a physical and a virtual surgical
simulator.- Surgical Visualization and Mixed, Augmented and Virtual Reality.-
Image-based Incision Detection for Topological Intraoperative 3D Model Update
in Augmented Reality Assisted Laparoscopic Surgery.- Using Multiple Images
and Contours for Deformable 3D-2D Registration of a Preoperative CT in
Laparoscopic Liver Surgery.- SurgeonAssist-Net: Towards Context-Aware
Head-Mounted Display-Based Augmented Reality for Surgical Guidance.