MicroMicro( Vol No. )
* *Microprocessors and Microsystems
MicroMicro(15)
* Label Inspection using the Hough Transform on Transputer Networks
MicroMicro(21)
* Hardware Development of the Yorick Series of Active Vision Systems
* Integrated System for the Sensor Processing and Control of Robot Systems, An
* Use of Low-Cost FM-CW Radar Sensors in Navigation, The
MicroMicro(30)
* Multi-lane architecture for eigenface based real-time face recognition
Microscopy16
* *Computer Vision for Microscopy Image Analysis
* 3D Convolutional Networks-Based Mitotic Event Detection in Time-Lapse Phase Contrast Microscopy Image Sequences of Stem Cell Populations
* 3D Structure Modeling of Dense Capillaries by Multi-objects Tracking
* Analysing the Structure of Collagen Fibres in SBFSEM Images
* Cluster Sensing Superpixel and Grouping
* Four Dimensional Image Registration for Intravital Microscopy
* ICORD: Intelligent Collection of Redundant Data: A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently
* Methodology for Increasing the Measurement Accuracy of Image Features
* Multi-view Multi-modal Feature Embedding for Endomicroscopy Mosaic Classification
* Neuron Segmentation Based on CNN with Semi-Supervised Regularization
* Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement
* Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification
* Unsupervised Segmentation of Cervical Cell Images Using Gaussian Mixture Model
13 for Microscopy16
Microscopy17
* *Computer Vision for Microscopy Image Analysis
* Breast Cancer Histopathological Image Classification: Is Magnification Important?
* Classification and Retrieval of Digital Pathology Scans: A New Dataset
* CNN Based Yeast Cell Segmentation in Multi-modal Fluorescent Microscopy Data
* Crowdsourcing for Chromosome Segmentation and Deep Classification
* DeepXScope: Segmenting Microscopy Images with a Deep Neural Network
* Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks
* Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images, An
* Fast Neural Cell Detection Using Light-Weight SSD Neural Network
* Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case
* High-Magnification Multi-views Based Classification of Breast Fine Needle Aspiration Cytology Cell Samples Using Fusion of Decisions from Deep Convolutional Networks
* Level Set Method for Gland Segmentation, A
* Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps
* Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning
* Nuclei Segmentation of Fluorescence Microscopy Images Using Three Dimensional Convolutional Neural Networks
* Transferring Microscopy Image Modalities with Conditional Generative Adversarial Networks
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Microscopy18
* *Computer Vision for Microscopy Image Analysis
* 3D Cell Nuclear Morphology: Microscopy Imaging Dataset and Voxel-Based Morphometry Classification Results
* Cell Image Segmentation by Integrating Multiple CNNs
* Comparison of Deep Transfer Learning Strategies for Digital Pathology
* Estimation of Sperm Concentration and Total Motility from Microscopic Videos of Human Semen Samples
* FastSME: Faster and Smoother Manifold Extraction from 3D Stack
* Improved Extraction of Objects from Urine Microscopy Images with Unsupervised Thresholding and Supervised U-net Techniques
* Large Kernel Refine Fusion Net for Neuron Membrane Segmentation
* Localization and Tracking in 4D Fluorescence Microscopy Imagery
* Multilayer Encoder-Decoder Network for 3D Nuclear Segmentation in Spheroid Models of Human Mammary Epithelial Cell Lines
* Resolution-Enhanced Lensless Color Shadow Imaging Microscopy Based on Large Field-of-View Submicron-Pixel Imaging Sensors
* Sequential Modeling of Deep Features for Breast Cancer Histopathological Image Classification
* Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation
13 for Microscopy18
Microscopy20
* *Computer Vision for Microscopy Image Analysis
* Analyzing U-Net Robustness for Single Cell Nucleus Segmentation from Phase Contrast Images
* Celeganser: Automated Analysis of Nematode Morphology and Age
* Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images
* CTMC: Cell Tracking with Mitosis Detection Dataset Challenge
* Detection and Classification of Pollen Grain Microscope Images
* Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks
* Feedback U-net for Cell Image Segmentation
* Multi-object Graph-based Segmentation with Non-overlapping Surfaces
* Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization
* Representation Learning of Histopathology Images using Graph Neural Networks
* Self-Supervised Feature Extraction for 3D Axon Segmentation
* topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology, A
* Topological Nomenclature for 3D Shape Analysis in Connectomics, A
* web-based intelligence platform for diagnosis of malaria in thick blood smear images: a case for a developing country, A
* WISH: efficient 3D biological shape classification through Willmore flow and Spherical Harmonics decomposition
16 for Microscopy20
Microsoft
* *Microsoft Research
* *MSRC Stereo Vision C# SDK, The
* Flexible New Technique for Camera Calibration, A
* Geometrically Constrained Structure from Motion: Points on Planes
* Panoramic Image Mosaics
* Stereo Matching with Transparency and Matting