Extended abstracts
The accepted extended abstracts have been gathered in an arXiv compendium: arXiv:1907.08612.
The original timetable can be found in the conference book.
Poster presentations
- Sequential Rib Labeling and Segmentation in Chest X-Ray Using Mask R-CNN.
- Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection.
- Multitask Classification and Segmentation for Cancer Diagnosis in Mammography.
- Distance Map Loss Penalty Term for Semantic Segmentation.
- Asymmetric Cascade Networks for Focal Bone Lesion Prediction in Multiple Myeloma.
- Combining 3D U-Net and Bottom-up Geometric Constraints for Automatic Cortical Sulci Recognition.
- Applying Simultaneous Super-resolution and Contrast Synthesis to Routine Clinical Magnetic Resonance Images for Automated Segmentation of Knee Joint Cartilage.
- Interpretable Convolutional Neural Networks for Preterm Birth Classification.
- Towards End-to-End Image-to-Tree for Vasculature Modeling.
- Deep Learning for Magnetic Resonance Fingerprinting.
- Cortical Parcellation Via Spectral Graph Convolutions.
- From Point Annotations to Epithelial Cell Detection in Breast Cancer Histopathology Using RetinaNet.
- Improving Localization-based Approaches for Breast Cancer Screening Exam Classification.
- HyperDense-Net: A Hyper-densely Connected CNN for Multi-modal Image Segmentation.
- Deep Learning Segmentation in 2D Echocardiography Using the CAMUS Dataset: Automatic Assessment of the Anatomical Shape Validity.
- MammoGAN: High-Resolution Synthesis of Realistic Mammograms.
- Forensic Age Estimation With Bayesian Convolutional Neural Networks Based on Panoramic Dental X-ray Imaging.
- Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior.
- Metric Learning for Patch Classification in Digital Pathology.
- Pulmonary Edema Severity Estimation in Chest Radiographs Using Deep Learning.
- Automated Interpretation of Prenatal Ultrasound Using a Predefined Acquisition Protocol in Resource-limited Countries.
- Integrating Spatial Configuration Into Heatmap Regression Based CNNs for Landmark Localization.
- Total Knee Replacement Prediction Using Structural MRIs and 3D Convolutional Neural Networks.
- Automatic Prostate and Prostate Zones Segmentation of Magnetic Resonance Images Using Convolutional Neural Networks.
- CT Field of View Extension Using Combined Channels Extension and Deep Learning Methods.
- Dealing With Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification.
- Automated Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning.
- Cardio-pulmonary Substructure Segmentation of CT Images Using Convolutional Neural Networks for Clinical Outcome Analysis.
- Caveats in Generating Medical Imaging Labels From Radiology Reports With Natural Language Processing.
- MR Image Reconstruction Using Deep Density Priors.
- A Closer Look Onto Breast Density With Weakly Supervised Dense-tissue Masks.
- Odontogenic Cysts and Tumors Detection in Panoramic Radiographs Using Deep Convolutional Neural Network (DCNN).
- Fully Automatic Binary Glioma Grading Based on Pre-Therapy MRI Using 3D Convolutional Neural Networks.
- Machine Learning With Electroencephalography Features for Precise Diagnosis of Depression Subtypes.
- FRODO: Free Rejection of Out-of-distribution Samples: Application to Chest X-ray Analysis.
- Colorectal Polyp Size Classification Using a Siamese Network.
- Deep Convolution Neural Network Model for Automatic Risk Assessment of Patients With Non-metastatic Nasopharyngeal Carcinoma.
- Brain Tumor Segmentation Using Topological Loss in Convolutional Networks.
- Significance of Residual Learning and Boundary Weighted Loss in Ischaemic Stroke Lesion Segmentation.
- Stratify or Inject: Two Simple Training Strategies to Improve Brain Tumor Segmentation.
- Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation.
- Guiding 3D U-Nets With Signed Distance Fields for Creating 3D Models From Images.
- Biasing Deep ConvNets for Semantic Segmentation of Medical Images With a Prior-driven Prediction Function.
- Chest CT Super-resolution and Domain-adaptation Using Memory-efficient 3D Reversible GANs.
- Sparse Annotations With Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms.
- Synthetic CT Generation From MRI Using Improved DualGAN.
- Deep Fully Convolutional Network for MR Fingerprinting.
- A Generalized Network for MRI Intensity Normalization.
- Deep Learning Based Partial Annotation Framework for Instance Segmentation in Histopathology Images.
- Hepatic Vessel Segmentation Using a Reduced Filter 3D U-Net in Ultrasound Imaging.
- Robustly Segmenting Quadriceps Muscles of Ultra-endurance Athletes With Weakly Supervised U-Net.
- Coronary Artery Segmentation in Cardiac CT Angiography Using 3D Multi-Channel U-Net.
- Effect of Adding Probabilistic Zonal Prior in Deep Learning-based Prostate Cancer Detection.
- Regression Activation Mapping on the Cortical Surface Using Graph Convolutional Networks.
- Synthesis of CT Images Using CycleGANs: Enhancement of Anatomical Accuracy.
- Spatio-temporal Regularization for Deep MR Fingerprinting.
- Deep Posterior Sampling: Uncertainty Quantification for Large Scale Inverse Problems.
- Is Texture Predictive for Age and Sex in Brain MRI?.
- Vertebra Partitioning With Thin-plate Spline Surfaces Steered by a Convolutional Neural Network.
- GANs ’N Lungs: Improving Pneumonia Prediction.
- Simultaneous Detection and Grading of Prostate Cancer in Multi-Parametric MRI.
- Screening Mammogram Classification With Prior Exams.
- Optimal Windowing of MR Images Using Deep Learning: An Enabler for Enhanced Visualization.
- Pneumothorax Detection and Localization in Chest Radiographs: A Comparison of Deep Learning Approaches.
- Pathological Myopic Image Analysis With Transfer Learning.
- Geometric Deep Learning and Heatmap Prediction for Large Deformation Registration of Abdominal and Thoracic CT.
- A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging.
- GradMask: Reduce Overfitting by Regularizing Saliency.
- Tumor Semantic Segmentation in Hyperspectral Images Using Deep Learning.
- Modeling Clinical Assessor Intervariability Using Deep Hypersphere Auto-encoders.
- Using Collaged Data Augmentation to Train Deep Neural Net With Few Data.
- Prostate Cancer Segmentation Using Manifold Mixup U-Net.
- Extended 2D Consensus Hippocampus Segmentation.
- Uncertainty-Driven Semantic Segmentation Through Human-Machine Collaborative Learning.
- A Multi-Task Self-Normalizing 3D-CNN to Infer Tuberculosis Radiological Manifestations.
- Relevance Analysis of MRI Sequences for Automatic Liver Tumor Segmentation.
- Efficient Prealignment of CT Scans for Registration Through a Bodypart Regressor.
- Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model Say “I Don’t Know“ for Ambiguous Cases.
- Low Dose SPECT Image Denoising Using a Generative Adversarial Network.
- Towards Manifold Learning of Image-Based Motion Models for Oscillating Vocal Folds.
- Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results.
- Template Transformer Networks for Image Segmentation.
- Machine Learning of Multimodal MRI to Predict the Development of Epileptic Seizures After Traumatic Brain Injury.
- BACH: Grand Challenge on Breast Cancer Histology Images.
- Major Vessel Segmentation on X-ray Coronary Angiography Using Deep Networks With a Novel Penalty Loss Function.
- CNN-Based Segmentation of the Cardiac Chambers and Great Vessels in Non-Contrast-Enhanced Cardiac CT.
- On the Effects of Vendor Balancing in Deep Learning for Mammography.
- Transfer Learning From Synthetic Data Reduces Need for Labels to Segment Brain Vasculature and Neural Pathways in 3D.
- Deep Learning for Automatic Tumour Segmentation in PET/CT Images of Patients With Head and Neck Cancers.
- 4D Spatio-Temporal Deep Learning With 4D FMRI Data for Autism Spectrum Disorder Classification.
- Uncertainty Handling in Intra-operative Multispectral Imaging With Invertible Neural Networks.
- Deep Learning-based Prediction of Kinetic Parameters From Myocardial Perfusion MRI.
- Do Lateral Views Help Automated Chest X-ray Predictions?.
- Deep Neural Networks for Quality Assurance of Image Registration.
- Automated Mammogram Analysis With a Deep Learning Pipeline.
- Multiscale Deep Neural Networks for Multiclass Tissue Classification of Histological Whole-Slide Images.
- Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening.
- Conditional Networks for Screening of Breast Cancer Metastases in Lymph Nodes.
- Robust Reconstruction of Cardiac T1 Maps Using RNNs.
- Shadow Detection for Ultrasound Images Using Unlabeled Data and Synthetic Shadows.
- Lung Nodules Detection and Segmentation Using 3D Mask-RCNN.
- Conditioning Convolutional Segmentation Architectures With Non-Imaging Data.
- Towards Continuous Learning for Glioma Segmentation With Elastic Weight Consolidation.