Journals starting with mic

MICCAI05 * Nonrigid Shape Correspondence Using Landmark Sliding, Insertion and Deletion

Michigan * *University of Michigan
* Surface Characterization of Three-Dimensional Object Recognition in Depth Maps

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
16 for Microscopy17

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

Index for "m"


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