Zhigang Peng

According to our database1, Zhigang Peng authored at least 32 papers between 2003 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


ComboNet: Combined 2D & 3D Architecture for Aorta Segmentation.
CoRR, 2020

Deep learning for seismic phase detection and picking in the aftershock zone of 2008 Mw7.9 Wenchuan earthquake.
CoRR, 2019

Volumetric texture modeling using dominant and discriminative binary patterns.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Deep learning for seismic event detection of earthquake aftershocks.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Clutter suppression and GMTI for hypersonic vehicle borne SAR system with MIMO antenna.
IET Signal Process., 2017

Clutter suppression and moving target imaging approach for multichannel hypersonic vehicle borne radar.
Digit. Signal Process., 2017

Automatic lumbar spine measurement in CT images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.
IEEE Trans. Medical Imaging, 2016

Automatic Collimation Detection in Digital Radiographs with the Directed Hough Transform and Learning-Based Edge Detection.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Bodypart Recognition Using Multi-stage Deep Learning.
Proceedings of the Information Processing in Medical Imaging, 2015

Computer-Assisted Medical Image Analysis Systems.
Proceedings of the Healthcare Data Analytics., 2015

A Novel Public Key Encryption Scheme for Large Image.
Proceedings of the 13th IEEE International Conference on Trust, 2014

Sparse appearance model-based algorithm for automatic segmentation and identification of articulated hand bones.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Multi-view learning based robust collimation detection in digital radiographs.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Mining anatomical, physiological and pathological information from medical images.
SIGKDD Explor., 2012

Detecting Earthquakes around Salton Sea Following the 2010 Mw7.2 El Mayor-Cucapah Earthquake Using GPU Parallel Computing.
Proceedings of the International Conference on Computational Science, 2012

Automatic view classification for cardiac MRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Robust Learning-Based Parsing and Annotation of Medical Radiographs.
IEEE Trans. Medical Imaging, 2011

Redundancy, redundancy, redundancy: the three keys to highly robust anatomical parsing in medical images.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Some extremal problems on subordinate functions.
Appl. Math. Lett., 2009

Robust Learning-Based Annotation of Medical Radiographs.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2009

Robust anatomy detection from CT topograms.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Robust algorithms for anatomic plane primitive detection in MR.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

A comparative study of deformable contour methods on medical image segmentation.
Image Vis. Comput., 2008

Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

An integrated approach to the segmentation and recognition of objects using level set and thin plate spline method.
Int. J. Intell. Syst. Technol. Appl., 2007

3D Method of Using Spatial-Varying Gaussian Mixture and Local Information to Segment MR Brain Volumes.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

Automatic Segmentation of MR Brain Images Using Spatial-Varying Gaussian Mixture and Markov Random Field Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

MR brain imaging segmentation based on spatial Gaussian mixture model and Markov random field.
Proceedings of the 2005 International Conference on Image Processing, 2005

Applying Prior Knowledge in the Segmentation of 3D Complex Anatomic Structures.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005

A Model Set Based Object Segmentation Method Using Level Set Approach.
Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003