000 12699nam a22006615i 4500
001 978-3-030-87234-2
003 DE-He213
005 20240730202529.0
007 cr nn 008mamaa
008 210923s2021 sz | s |||| 0|eng d
020 _a9783030872342
_9978-3-030-87234-2
024 7 _a10.1007/978-3-030-87234-2
_2doi
050 4 _aTA1634
072 7 _aUYQV
_2bicssc
072 7 _aCOM016000
_2bisacsh
072 7 _aUYQV
_2thema
082 0 4 _a006.37
_223
245 1 0 _aMedical Image Computing and Computer Assisted Intervention - MICCAI 2021
_h[electronic resource] :
_b24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII /
_cedited by Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXXXIX, 801 p. 277 illus., 258 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v12907
505 0 _aClinical Applications - Abdomen -- Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy -- Learning-based attenuation quantification in abdominal ultrasound -- Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment -- Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics -- Deep-Cleansing: Deep-learning based Electronic Cleansing in Dual-energy CT Colonography -- Clinical Applications - Breast -- Interactive smoothing parameter optimization in DBT Reconstruction using Deep learning -- Synthesis of Contrast-enhanced Spectral Mammograms from Low-energy Mammograms Using cGAN-Based Synthesis Network -- Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms -- Graph Transformers for Characterization and Interpretation of Surgical Margins -- Domain Generalization for Mammography Detection viaMulti-style and Multi-view Contrastive Learning -- Learned super resolution ultrasound for improved breast lesion characterization -- BI-RADS Classification of Calcification on Mammograms -- Supervised Contrastive Pre-Training for Mammographic Triage Screening Models -- Trainable summarization to improve breast tomosynthesis classification -- Clinical Applications - Dermatology -- Multi-level Relationship Capture Network for Automated Skin Lesion Recognition -- Culprit-Prune-Net: Efficient Continual Sequential Multi-Domain Learning with Application to Skin Lesion Classification -- End-to-end Ugly Duckling Sign Detection for Melanoma Identification with Transformers -- Automatic Severity Rating for Improved Psoriasis Treatment -- Clinical Applications - Fetal Imaging -- STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning -- Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps -- EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography -- AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes -- Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network -- Clinical Applications - Lung -- Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection -- M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19 -- Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs -- Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning -- RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting -- Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation -- Perceptual Quality Assessment of Chest Radiograph -- Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19 -- Determination of error in 3D CT to 2D fluoroscopy image registration for endobronchial guidance -- Chest Radiograph Disentanglement for COVID-19 Outcome Prediction -- Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms -- LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis -- Clinical Applications - Neuroimaging - Brain Development -- Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation -- Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates -- Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development -- ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities -- Covariate Correcting Networks for Identifying Associations between Socioeconomic Factors and Brain Outcomes inChildren -- Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images -- Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation -- Joint PVL Detection and Manual Ability Classification using Semi-Supervised Multi-task Learning -- Clinical Applications - Neuroimaging - DWI And Tractography -- Active Cortex Tractography -- Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters -- Accurate parameter estimation in fetal diffusion-weighted MRI - learning from fetal and newborn data -- Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation -- Disentangled and Proportional Representation Learning for Multi-View Brain Connectomes -- Quantifying structural connectivity in brain tumor patients -- Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Imagesfrom Multi-modal Structural MRI -- Clinical Applications - Neuroimaging - Functional Brain Networks -- Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold -- From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics -- Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks -- Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis -- Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates -- Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data -- Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query -- Estimation of spontaneous neuronal activity using homomorphic filtering -- A Matrix Auto-encoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes -- Clinical Applications - Neuroimaging - Others -- Topological Receptive Field Model for Human Retinotopic Mapping -- SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images -- LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting -- Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging -- SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography -- Local Morphological Measures Confirm that Folding within Small Partitions of the Human Cortex Follows Universal Scaling Law -- Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder -- Personalized Matching and Analysis of Cortical Folding Patterns via Patch-Based Intrinsic Brain Mapping -- Clinical Applications - Oncology -- A Location Constrained Dual-branch Network for Reliable Diagnosis of Jaw Tumors and Cysts -- Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint -- Parallel Capsule Networks for Classification of White Blood Cells -- Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy -- Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining -- Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer? -- Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification.
520 _aThe 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.
650 0 _aComputer vision.
_9171914
650 0 _aArtificial intelligence.
_93407
650 0 _aBioinformatics.
_99561
650 0 _aPattern recognition systems.
_93953
650 0 _aMedical informatics.
_94729
650 1 4 _aComputer Vision.
_9171915
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputational and Systems Biology.
_931619
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aHealth Informatics.
_931799
700 1 _ade Bruijne, Marleen.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9171916
700 1 _aCattin, Philippe C.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9171917
700 1 _aCotin, Stéphane.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9171918
700 1 _aPadoy, Nicolas.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9171919
700 1 _aSpeidel, Stefanie.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9171920
700 1 _aZheng, Yefeng.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9171921
700 1 _aEssert, Caroline.
_eeditor.
_0(orcid)
_10000-0003-2572-9730
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9171922
710 2 _aSpringerLink (Online service)
_9171923
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030872335
776 0 8 _iPrinted edition:
_z9783030872359
830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v12907
_9171924
856 4 0 _uhttps://doi.org/10.1007/978-3-030-87234-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c97060
_d97060