Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part II /
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...
| Corporate Author: | |
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| Other Authors: | , , , , , , , |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
12262 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-59713-9 |
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.