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Cell Tracking

Papers

Showing 125 of 74 papers

TitleStatusHype
Trackastra: Transformer-based cell tracking for live-cell microscopyCode4
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
Contrastive learning of cell state dynamics in response to perturbationsCode2
VideoMolmo: Spatio-Temporal Grounding Meets PointingCode2
Semi supervised segmentation and graph-based tracking of 3D nuclei in time-lapse microscopyCode1
FastDOG: Fast Discrete Optimization on GPUCode1
CHOTA: A Higher Order Accuracy Metric for Cell TrackingCode1
FastTrack: an open-source software for tracking varying numbers of deformable objectsCode1
Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineagesCode1
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and trackingCode1
Weakly-Supervised Cell Tracking via Backward-and-Forward PropagationCode1
MPM: Joint Representation of Motion and Position Map for Cell TrackingCode1
Generative modeling of living cells with SO(3)-equivariant implicit neural representationsCode1
Implicit Neural Representations for Generative Modeling of Living Cell ShapesCode1
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape FeaturesCode1
Graph Neural Network for Cell Tracking in Microscopy VideosCode1
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours MapsCode1
Cell tracking for live-cell microscopy using an activity-prioritized assignment strategyCode0
Cell Tracking-by-detection using Elliptical Bounding BoxesCode0
A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy VideosCode0
Cell Tracking according to Biological Needs -- Strong Mitosis-aware Multi-Hypothesis Tracker with Aleatoric UncertaintyCode0
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy ImagesCode0
EmbedTrack -- Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering BandwidthsCode0
Cell Segmentation by Combining Marker-Controlled Watershed and Deep LearningCode0
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and TrackingCode0
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