Medical image computing and computer assisted intervention -- MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings. Part II

Medical image computing and computer assisted intervention -- MICCAI 2020 : Part II / 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings. Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (eds.).

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually d...

Full description

Saved in:

Bibliographic Details
Corporate Author:	International Conference on Medical Image Computing and Computer-Assisted Intervention Online
Other Authors:	Martel, Anne, Abolmaesumi, Purang, Stoyanov, Danail, Mateus, Diana, Zuluaga, Maria A., Zhou, S. Kevin, Racoceanu, Daniel, Joskowicz, Leo
Format:	eBook
Language:	English
Published:	Cham : Springer, 2020.
Series:	Lecture notes in computer science ; 12262. LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics.
Subjects:	Diagnostic imaging > Data processing > Congresses. Artificial intelligence. Society & social sciences. Educational equipment & technology, computer-aided learning (Calif.) Pattern recognition. Life sciences: general issues. Image processing. Computers > Intelligence (AI) & Semantics. Computers > Data Processing. Education > Computers & Technology. Computers > Computer Vision & Pattern Recognition. Computers > Computer Science. Computers > Computer Graphics. Diagnostic imaging > Data processing Application software Artificial intelligence Bioinformatics Education > Data processing Optical data processing Pattern perception Electronic books. proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès.
Online Access:	Click for online access

Table of Contents:

Image Reconstruction
Improving Amide Proton Transfer-weighted MRI Reconstruction using T2-weighted Images
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
Active MR k-space Sampling with Reinforcement Learning
Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts
Joint reconstruction and bias field correction for undersampled MR imaging
Joint Total Variation ESTATICS for Robust Multi-Parameter Mapping
End-to-End Variational Networks for Accelerated MRI Reconstruction
3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning
MRI Image Reconstruction via Learning Optimization Using Neural ODEs
An evolutionary framework for microstructure-sensitive generalized diffusion gradient waveforms
Lesion Mask-based Simultaneous Synthesis of Anatomic and Molecular MR Images using a GAN
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions
Learned Proximal Networks for Quantitative Susceptibility Mapping
Learning A Gradient Guidance for Spatially Isotropic MRI Super-Resolution Reconstruction
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography
Acceleration of High-resolution 3D MR Fingerprinting via a Graph Convolutional Network
Deep Attentive Wasserstein Generative Adversarial Network for MRI Reconstruction with Recurrent Context-Awareness
Learning MRI $k$-Space Subsampling Pattern using Progressive Weight Pruning
Model-driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image
Simultaneous Estimation of X-ray Back-Scatter and Forward-Scatter using Multi-Task Learning
Prediction and Diagnosis
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients
Automatic Detection of Free Intra-Abdominal Air in Computed Tomography
Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data
Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis using the Heart and Surrounding Tissues
Ovarian Cancer Prediction in Proteomic Data Using Stacked Asymmetric Convolution
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Dynamic Contrast-Enhanced CT Imaging
Holistic Analysis of Abdominal CT for Predicting the Grade of Dysplasia of Pancreatic Lesions
Feature-enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon cancer
Spatial-And-Context aware (SpACe) "virtual biopsy'' radiogenomic maps to target tumor mutational status on structural MRI
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis
Preoperative prediction of lymph node metastasis from clinical DCE MRI of the primary breast tumor using a 4D CNN
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional Networks
Cross-Domain Methods and Reconstruction
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings
Unlearning Scanner Bias for MRI Harmonisation
Cross-Domain Image Translation by Shared Latent Gaussian Mixture Model
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy
X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph
Domain Adaptation for Ultrasound Beamforming
CDF-Net: Cross-Domain Fusion Network for accelerated MRI reconstruction
Domain Adaptation
Improve Unseen Domain Generalization via Enhanced Local Color Transformation and Augmentation
Transport-based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis using Resting-state fMRI
Automatic and interpretable model for periodontitis diagnosis in panoramic radiographs
Residual-CycleGAN based Camera Adaptation for Robust Diabetic Retinopathy Screening
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains
Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes
Unsupervised Graph Domain Adaptation for Neurodevelopmental Disorders Diagnosis
JBFnet
Low Dose CT Denoising by Trainable Joint Bilateral Filtering
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint
Machine Learning Applications
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment
Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions
Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect
Chest X-ray Report Generation through Fine-Grained Label Learning
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time
A Deep Bayesian Video Analysis Framework: Towards a More Robust Estimation of Ejection Fraction
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications
Large-scale inference of liver fat with neural networks on UK Biobank body MRI
BUNET: Blind Medical Image Segmentation Based on Secure UNET
Temporal-consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape
Decision Support for Intoxication Prediction Using Graph Convolutional Networks
Latent-Graph Learning for Disease Prediction
Generative Adversarial Networks
BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification
Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement
Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI
Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network
AGAN: An Anatomy Corrector Conditional Generative Adversarial Network
SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI
Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields
Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation
Graded Image Generation Using Stratified CycleGAN
Prediction of Plantar Shear Stress Distribution by Conditional GAN with Attention Mechanism.

Similar Items