Gopalkrishna Veni

According to our database, Gopalkrishna Veni authored at least 11 papers between 2006 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks.

Mostafa Karimi, Gopalkrishna Veni, Yen-Yun Yu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Segmentation of anatomical structures in cardiac CTA using multi-label V-Net.

Hui Tang, Mehdi Moradi, Ahmed El Harouni, Hongzhi Wang, Gopalkrishna Veni, Prasanth Prasanna, Tanveer F. Syeda-Mahmood

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network prior.

Gopalkrishna Veni, Mehdi Moradi, Hakan Bulu, Girish Narayan, Tanveer F. Syeda-Mahmood

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Detecting anomalies from echocardiography using multi-view regression of clinical measurements.

Allen Lu, Ehsan Dehghan, Gopalkrishna Veni, Mehdi Moradi, Tanveer F. Syeda-Mahmood

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

ShapeCut: Bayesian surface estimation using shape-driven graph.

Gopalkrishna Veni, Shireen Y. Elhabian, Ross T. Whitaker

Medical Image Anal., 2017

2016

Surface-Based Image Segmentation Using Application-Specific Priors.

Gopalkrishna Veni

PhD thesis, 2016

2015

A Bayesian formulation of graph-cut surface estimation with global shape priors.

Gopalkrishna Veni, Shireen Y. Elhabian, Ross T. Whitaker

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013

Proper ordered meshing of complex shapes and optimal graph cuts applied to atrial-wall segmentation from DE-MRI.

Gopalkrishna Veni, Zhisong Fu, Suyash P. Awate, Ross T. Whitaker

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes.

Gopalkrishna Veni, Zhisong Fu, Suyash P. Awate, Ross T. Whitaker

Proceedings of the Information Processing in Medical Imaging, 2013

2008

Detection of Clustered Microcalcifications with SUSAN Edge Detector, Adaptive Contrast Thresholding and Spatial Filters.

Gopalkrishna Veni, Emma E. Regentova, Lei Zhang

Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

2006

Detecting Microcalcifications in Digital Mammograms using Wavelet Domain Hidden Markov Tree Model.

Emma E. Regentova, Lei Zhang, Jun Zheng, Gopalkrishna Veni

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006