Liran Goshen

According to our database, Liran Goshen authored at least 12 papers between 2002 and 2021.

Collaborative distances:

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

2021

Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation.

Hadas Ben-Atya, Ori Rajchert, Liran Goshen, Moti Freiman

CoRR, 2021

2019

Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation.

Moti Freiman, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Pál Maurovich-Horvat, Patrick Donnelly, Liran Goshen

CoRR, 2019

Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders.

Moti Freiman, Ravindra Manjeshwar, Liran Goshen

CoRR, 2019

2017

Learning a Sparse Database for Patch-Based Medical Image Segmentation.

Moti Freiman, Hannes Nickisch, Holger Schmitt, Pál Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen

Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

2016

Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment.

Moti Freiman, Yechiel Lamash, Guy Gilboa, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Liran Goshen

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015

Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations.

Hannes Nickisch, Yechiel Lamash, Sven Prevrhal, Moti Freiman, Mani Vembar, Liran Goshen, Holger Schmitt

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014

Simultaneous Multi-phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation.

Yechiel Lamash, Moti Freiman, Liran Goshen

Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014

2008

Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation.

Liran Goshen, Ilan Shimshoni

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Guided Sampling via Weak Motion Models and Outlier Sample Generation for Epipolar Geometry Estimation.

Liran Goshen, Ilan Shimshoni

Int. J. Comput. Vis., 2008

2005

Motion Recovery by Integrating over the Joint Image Manifold.

Liran Goshen, Ilan Shimshoni, P. Anandan, Daniel Keren

Int. J. Comput. Vis., 2005

2003

Recovery of Epipolar Geometry as a Manifold Fitting Problem.

Liran Goshen, Ilan Shimshoni, P. Anandan, Daniel Keren

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002

All Points Considered: A Maximum Likelihood Method for Motion Recovery.

Daniel Keren, Ilan Shimshoni, Liran Goshen, Michael Werman

Proceedings of the Geometry, 2002