Image Analysis for Moving Organ, Breast, and Thoracic Images

Resection-based Demons Regularization for Breast Tumor Bed Propagation.- Linear and Deformable Image Registration with 3D Convolutional Neural Networks.- Super Resolution of Cardiac Cine MRI Sequences Using Deep Learning.- Automated CNN-based Reconstruction of Short-Axis Cardiac MR Sequence From Real-Time Image Data.- An Unbiased Groupwise Registration Algorithm for Correcting Motion in Dynamic Contrast-Enhanced Magnetic Resonance Images.- Siamese Network for Dual-View Mammography Mass Matching.- Large-scale Mammography CAD with Deformable Conv-Nets.- Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images.- Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net.- Improving Breast Cancer Detection using Symmetry Information.- Conditional Infilling GANs for Data Augmentation in Mammogram Classification.- A Unified Mammogram Analysis Method via Hybrid Deep Supervision.- Structure-aware Staging for Breast Cancer Metastases.- Reproducible evaluation of registration algorithms for movement correction in dynamic contrast enhancing magnetic resonance imaging for breast cancer diagnosis.- Robust Windowed Harmonic Phase Analysis with a Single Acquisition.- Lung Structures Enhancement in Chest Radiographs via CT based FCNN Training.- Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder.- Tuberculosis histopathology on x-ray CT.- A CT scan harmonization technique to detect Emphysema and Small Airway Diseases.- Transfer Learning for Segmentation of Injured Lungs using Coarse-to-Fine Convolutional Neural Networks.- High throughput lung and lobar segmentation by 2D and 3D CNN on chest CT with diffuse lung disease.- Multi-Structure Segmentation from Partially Labeled Datasets. Application to Body Composition Measurements on CT scans.- 3D Pulmonary Artery Segmentation from CTA Scans using Deep Learning with Realistic Data Augmentation.- Automatic Airway Segmentation in chest CT using Convolutional Neural Networks.- Detecting Out-of-phase Ventilation Using 4DCT to Improve Radiation Therapy for Lung Cancer.- XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-derived Motion Model.- Rigid Lens Locally Rigid Approximations of Deformable Registration for Change Assessment in Thorax-Abdomen CT Follow-Up Scan.- Diffeomorphic Lung Registration using Deep CNNs and Reinforced Learning.- Transfer learning approach to predict biopsy-confirmed malignancy of lung nodules from imaging data: a pilot study.- Convolutional Neural Network Based COPD and Emphysema Classifications Are Predictive of Lung Cancer Diagnosis.- Towards an automatic lung cancer screening system in low dose computed tomography.- Automatic classification of centrilobular emphysema on CT using deep learning: comparison with visual scoring.- On the Relevance of the Loss Function in the Agatston Score Regression from non-ECG Gated CT Scans.- Accurate Measurement of Airway Morphology on Chest CT images.