Real-Time 2D/3D Deformable Registration Using Metric Learning

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-36620-8_1 ◽

2013 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Chen-Rui Chou ◽

Stephen Pizer

Keyword(s):

Real Time ◽

Metric Learning ◽

Deformable Registration

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Local Metric Learning in 2D/3D Deformable Registration With Application in the Abdomen

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2014.2319193 ◽

2014 ◽

Vol 33 (8) ◽

pp. 1592-1600 ◽

Cited By ~ 4

Author(s):

Qingyu Zhao ◽

Chen-Rui Chou ◽

Gig Mageras ◽

Stephen Pizer

Keyword(s):

Metric Learning ◽

Deformable Registration

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Real-time deformable registration of multi-modal whole slides for digital pathology

Computerized Medical Imaging and Graphics ◽

10.1016/j.compmedimag.2011.06.006 ◽

2011 ◽

Vol 35 (7-8) ◽

pp. 542-556 ◽

Cited By ~ 20

Author(s):

Dan Mueller ◽

Dirk Vossen ◽

Bas Hulsken

Keyword(s):

Real Time ◽

Digital Pathology ◽

Deformable Registration

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A New Coupled Metric Learning for Real-time Anomalies Detection with High-Frequency Field Programmable Gate Arrays

2014 IEEE International Conference on Data Mining Workshop ◽

10.1109/icdmw.2014.203 ◽

2014 ◽

Cited By ~ 2

Author(s):

Frank Jiang ◽

Dan Luo

Keyword(s):

Real Time ◽

High Frequency ◽

Metric Learning ◽

Field Programmable Gate Arrays ◽

High Frequency Field ◽

Gate Arrays ◽

Frequency Field ◽

Field Programmable ◽

Programmable Gate Arrays

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Real-Time 2D-3D Deformable Registration with Deep Learning and Application to Lung Radiotherapy Targeting

Lecture Notes in Computer Science - Information Processing in Medical Imaging ◽

10.1007/978-3-030-20351-1_20 ◽

2019 ◽

pp. 265-276 ◽

Cited By ~ 1

Author(s):

Markus D. Foote ◽

Blake E. Zimmerman ◽

Amit Sawant ◽

Sarang C. Joshi

Keyword(s):

Deep Learning ◽

Real Time ◽

Deformable Registration ◽

Lung Radiotherapy

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Boosted metric learning for 3D multi-modal deformable registration

2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro ◽

10.1109/isbi.2011.5872619 ◽

2011 ◽

Cited By ~ 16

Author(s):

Fabrice Michel ◽

Michael Bronstein ◽

Alex Bronstein ◽

Nikos Paragios

Keyword(s):

Metric Learning ◽

Deformable Registration

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WE-E-BRC-02: Real-Time Deformable Registration Using Multi-Pixel X-Ray Technology for Image-Guided Lung Radiotherapy

Medical Physics ◽

10.1118/1.3613380 ◽

2011 ◽

Vol 38 (6Part32) ◽

pp. 3818-3819

Author(s):

C Chou ◽

B Frederick ◽

S Chang ◽

S Pizer

Keyword(s):

Real Time ◽

Deformable Registration ◽

X Ray ◽

Image Guided ◽

Lung Radiotherapy

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Hybrid Distance Metric Learning for Real-Time Pedestrian Detection and Re-identification

Lecture Notes in Computer Science - Computer Vision Systems ◽

10.1007/978-3-319-68345-4_40 ◽

2017 ◽

pp. 448-458

Author(s):

Xinyu Huang ◽

Jiaolong Xu ◽

Gang Guo ◽

Ergong Zheng

Keyword(s):

Real Time ◽

Pedestrian Detection ◽

Metric Learning ◽

Distance Metric Learning ◽

Distance Metric ◽

Hybrid Distance

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Motion Compensated Magnetic Resonance Reconstruction Using Inverse-Consistent Deformable Registration: Application to Real-Time Cine Imaging

Lecture Notes in Computer Science - Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011 ◽

10.1007/978-3-642-23623-5_71 ◽

2011 ◽

pp. 564-572 ◽

Cited By ~ 2

Author(s):

Hui Xue ◽

Yu Ding ◽

Christoph Guetter ◽

Marie-Pierre Jolly ◽

Jens Guehring ◽

...

Keyword(s):

Magnetic Resonance ◽

Real Time ◽

Deformable Registration ◽

Cine Imaging

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Real-time facial action unit intensity prediction with regularized metric learning

Image and Vision Computing ◽

10.1016/j.imavis.2016.03.004 ◽

2016 ◽

Vol 52 ◽

pp. 1-14 ◽

Cited By ~ 8

Author(s):

Jérémie Nicolle ◽

Kévin Bailly ◽

Mohamed Chetouani

Keyword(s):

Real Time ◽

Metric Learning ◽

Action Unit ◽

Facial Action ◽

Intensity Prediction

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Some Recent Results in Quiescent Prominence Spectrometry

International Astronomical Union Colloquium ◽

10.1017/s0252921100065179 ◽

1979 ◽

Vol 44 ◽

pp. 41-47

Author(s):

Donald A. Landman

Keyword(s):

Real Time ◽

Computer System ◽

Spectral Response ◽

Absolute Intensity ◽

Solar Observatory ◽

Target Size ◽

Small Target ◽

Signal Averaging ◽

Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

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