Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements | Paper Citation Record

Observation d2d8ec65-537a-43e9-a242-5ecd545d59c7 · outbound

This paper cites McKenna, S.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements McKenna, S

Reference 1

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This paper cites D., Baker, K.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements D., Baker, K

Reference 2

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This paper cites Kernel-Based Object Tracking,.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Kernel-Based Object Tracking,

Reference 3

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This paper cites Robust Online Appearance Models for Visual Tracking,.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Robust Online Appearance Models for Visual Tracking,

Reference 4

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This paper cites Contour-based object tracking with occlusion handling in video acquired using mobile cameras.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Contour-based object tracking with occlusion handling in video acquired using mobile cameras

Reference 6

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This paper cites A survey on object detection and tracking methods.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements A survey on object detection and tracking methods

Reference 7

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This paper cites Snakes: Active Contour Mod- els,.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Snakes: Active Contour Mod- els,

Reference 8

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This paper cites Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation,.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation,

Reference 9

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This paper cites Region Tracking via Level Set PDEs Without Motion Computation,.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Region Tracking via Level Set PDEs Without Motion Computation,

Reference 10

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This paper cites Kalman filter and Iterative-Hungarian Algorithm implementation for low complexity point tracking as part of fast multiple object tracking system.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Kalman filter and Iterative-Hungarian Algorithm implementation for low complexity point tracking as part of fast multiple object tracking system

Reference 11

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This paper cites Robust object tracking by hierarchical association of detection responses.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Robust object tracking by hierarchical association of detection responses

Reference 12

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This paper cites Robust visual tracking using autoregressive hidden Markov model.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Robust visual tracking using autoregressive hidden Markov model

Reference 13

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This paper cites Covariance kernels for fast automatic pattern discovery and extrapolation with Gaussian processes.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Covariance kernels for fast automatic pattern discovery and extrapolation with Gaussian processes

Reference 14

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This paper cites A probabilistic background model for tracking.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements A probabilistic background model for tracking

Reference 15

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This paper cites Visual object tracking by structure complexity coeffi- cients.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Visual object tracking by structure complexity coeffi- cients

Reference 16

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This paper cites Object tracking using SIFT features and mean shift.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Object tracking using SIFT features and mean shift

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This paper cites Optical flow-based real-time object tracking using non-prior training active feature model.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Optical flow-based real-time object tracking using non-prior training active feature model

Reference 18

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Observation 6d5ce764-e850-4e6f-8cf7-b10f9008dcf8 · outbound

This paper cites Detection and Tracking of Point Fea- tures.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Detection and Tracking of Point Fea- tures

Reference 19

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Observation 90fb2f50-2984-4878-a611-b39cb87d4711 · outbound

This paper cites Good Features to Track.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Good Features to Track

Reference 20

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Unresolved cited work

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This paper cites AND STEPHENS, M.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements AND STEPHENS, M

Reference 22

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Unresolved cited work

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This paper cites Speeded-up robust features (SURF).

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Speeded-up robust features (SURF)

Reference 24

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This paper cites Taigman, M.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Taigman, M

Reference 27

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Unresolved cited work

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements A Review on Image and Video processing

Reference 38

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This paper cites Object tracking by particle filtering tech- niques in video sequences.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Object tracking by particle filtering tech- niques in video sequences

Reference 39

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This paper cites Computer Vision Face Tracking as a Component of a Per- ceptual User Interface.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Computer Vision Face Tracking as a Component of a Per- ceptual User Interface

Reference 40

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This paper cites Multi hypotheses-based object tracking in HCI environments.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Multi hypotheses-based object tracking in HCI environments

Reference 41

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This paper cites Unsupervised discovery of toxoplasma gondii motility phenotypes.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Unsupervised discovery of toxoplasma gondii motility phenotypes

Reference 42

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This paper cites Geodesic active contours and level sets for the detection and tracking of moving objects.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Geodesic active contours and level sets for the detection and tracking of moving objects

Reference 43

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This paper cites Model-based tracking of self- occluding articulated objects.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Model-based tracking of self- occluding articulated objects

Reference 44

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Motion detection in spatio- temporal space

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Unresolved cited work

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements On feature combination for mul- ticlass object classification

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Learning the kernel matrix with semidefinite programming

Reference 48

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Multiresolution gray- scale and rotation invariant texture classification with local binary pat- terns

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Efficient region tracking with parametric models of geometry and illumination

Reference 50

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Model-based object tracking in traffic scenes

Reference 51

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Model-Based Object Tracking in Monocular Image Sequences of Road Traffic Scenes

Reference 52

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Improved tracking of multiple humans with trajectory prediction and occlusion modeling

Reference 53

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Probabilistic tracking in a metric space

Reference 54

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Unresolved cited work

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements J., & Isard, M

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements K., Kuo, C

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Fast occluded object tracking by a robust appearance filter

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Human tracking using convolutional neural networks

Reference 59

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Learning multi-domain convo- lutional neural networks for visual tracking

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Chatfield, K

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Girshick, J

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Taigman, M

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Toshev and C

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Simonyan and A

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Krizhevsky, I

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Unresolved cited work

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Unresolved cited work

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This paper cites Transferring Rich Feature Hierarchies for Robust Visual Tracking.

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Transferring Rich Feature Hierarchies for Robust Visual Tracking

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This paper cites (2017, May).

Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements (2017, May)

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements You only look once: Unified, real-time object detection

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Once for all: a two-flow convolutional neural network for visual tracking

Reference 72

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Learning to track at 100 fps with deep regression networks,

Reference 73

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Siamese instance search for tracking,

Reference 74

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Fully-convolutional siamese networks for object tracking,

Reference 75

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Real-Time Forward Collision Warning System Using Nested Kalman Filter for Monocular Camera

Reference 76

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Unresolved cited work

Reference 77

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements H., & Yoon, K

Reference 78

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Deep Reinforcement Learning for Visual Object Tracking in Videos

Reference 79

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Action-decision networks for visual tracking with deep reinforcement learning

Reference 80

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements A probabilistic approach to joint cell tracking and segmentation in high-throughput microscopy videos

Reference 81

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Unresolved cited work

Reference 82

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Auto- matic cell tracking applied to analysis of cell migration in wound healing assay

Reference 83

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements E., Ronneberger, O., Haubold, C., Harder, N.,

Reference 84

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Dynamic Social Network Modeling of Diffuse Subcellular Morphologies

Reference 85

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Modelling Diffuse Subcellular Protein Structures as Dynamic Social Networks

Reference 86

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements M., Erlandsson, F., Borgefors, G., & Bengtsson, E

Reference 87

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements E., Bowen, Z., Marshall, E

Reference 88

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy,

Reference 89

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Segmentation and Shape Tracking of Whole Fluo- rescent Cells Based on the Chan–Vese Model,

Reference 90

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Optimal approximation by piecewise smooth functions and associated variational problems,

Reference 91

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Global Linking of Cell Tracks Using the Viterbi Algorithm,

Reference 92

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Particle-Cell Detecting and Tracking in Live-Cell Time-Lapse Images,

Reference 93

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements An Automatic Tracking Method for Multiple Cells Based on Multi-Feature Fusion,

Reference 94

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Multiple Cell Tracking by Ripple Spreading Optimization,

Reference 95

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Deformable Graph Model for Tracking Ep- ithelial Cell Sheets in Fluorescence Microscopy,

Reference 96

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements A Method for Automatic Tracking of Cell Nuclei in 2D Epifluorescence Microscopy Image Sequences,

Reference 97

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Joint cell segmen- tation and tracking using cell proposals,

Reference 98

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Globally Optimal Cell Tracking using Integer Programming

Reference 99

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Cellsegmentationandtrackinginphase con- trast images using graph cut with asymmetric boundary costs,

Reference 100

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements U-Net: Convolutional networks for biomedical image segmentation,

Reference 101

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Active structured learning for cell tracking: Algorithm, framework, and usability,

Reference 102

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Red Blood Cell Tracking Using Optical Flow Methods,

Reference 103

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Robust Adaptive Fusion Tracking Based on Complex Cells and Keypoints,

Reference 104

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Semi-supervised learning for cell tracking in microscopy images,

Reference 105

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements A Novel Ant-Based Multiple Cells Tracking Approach with Cardinality Estimation,

Reference 106

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Cell tracking using deep neural networks with multi-task learning

Reference 107

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Cell mitosis detection using deep neural networks

Reference 108

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements Deep convo- lutional and recurrent neural networks for cell motility discrimination and prediction

Reference 109

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements (2018, April)

Reference 110

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements & Dovzhenko, A

Reference 111

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Object Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements U-net: Convo- lutional networks for biomedical image segmentation

Reference 112

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