Optical Imaging.- Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Trials.- A Deep Reinforcement Learning Framework for Frame-by-frame Plaque Tracking on Intravascular Optical Coherence Tomography Image.- Multi-Index Optic Disc Quantification via MultiTask Ensemble Learning.- Retinal Abnormalities Recognition Using Regional Multitask Learning.- Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening.- Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces.- 3D Surface-Based Geometric and Topological Quantification of Retinal Microvasculature in OCT-Angiography via Reeb Analysis.- Limited-Angle Diffuse Optical Tomography Image Reconstruction using Deep Learning.- Data-driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks.- Dual Encoding U-Net for Retinal Vessel Segmentation.- A Deep Learning Design for improving Topology Coherence in Blood Vessel Segmentation.- Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation.- Unsupervised Ensemble Strategy for Retinal Vessel Segmentation.- Fully convolutional boundary regression for retina OCT segmentation.- PM-NET: Pyramid Multi-Label Network for Optic Disc and Cup Segmentation.- Biological Age Estimated from Retinal Imaging: A Novel Biomarker of Aging.- Task Adaptive Metric Space for Medium-Shot Medical Image Classification.- Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization.- Deep Multi Label Classification in Affine Subspaces.- Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss.- A Divide-and-Conquer Approach towards Understanding Deep Networks.- Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography.- Active Appearance Model Induced Generative Adversarial Networks for Controlled Data Augmentation.- Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network.- Probabilistic Atlases to Enforce Topological Constraints.- Synapse-Aware Skeleton Generation for Neural Circuits.- Seeing Under the Cover: A Physics Guided Learning Approach for In-Bed Pose Estimation.- EDA-Net: Dense Aggregation of Deep and Shallow Information Achieves Quantitative Photoacoustic Blood Oxygenation Imaging Deep in Human Breast.- Fused Detection of Retinal Biomarkers in OCT Volumes.- Vessel-Net: Retinal Vessel Segmentation under Multi-path Supervision.- Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction in vivo.- Uncertainty guided semisupervised segmentation of retinal layers in OCT images.- Endoscopy.- Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification.- Selective Feature Aggregation Network with Area-boundary Constraints for Polyp Segmentation.- Deep Sequential Mosaicking of Fetoscopic Videos.- Landmark-guided Deformable Image Registration for Supervised Autonomous Robotic Tumor Resection.- Multi-View Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis.- Real-time Surface Deformation Recovery from Stereo Videos.- Microscopy.- Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier.- From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification.- Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes.- Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss.- Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification.- Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate.- Accelerated ML-assisted Tumor Detection in High-Resolution Histopathology Images.- Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Usin