Liran Goshen

15 papers A* 1B 1Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2021 J jnl
Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation.
CoRR
Hadas Ben-Atya, Ori Rajchert, Liran Goshen, Moti Freiman
2019 J jnl
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation.
CoRR
Moti Freiman, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Pál Maurovich-Horvat, Patrick Donnelly, Liran Goshen
2019 J jnl
Learning a sparse database for patch-based medical image segmentation.
CoRR
Moti Freiman, Hannes Nickisch, Holger Schmitt, Pál Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen
2019 J jnl
Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders.
CoRR
Moti Freiman, Ravindra Manjeshwar, Liran Goshen
2017 — conf
Learning a Sparse Database for Patch-Based Medical Image Segmentation.
Patch-MI@MICCAI
Moti Freiman, Hannes Nickisch, Holger Schmitt, Pál Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen
2016 B conf
Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment.
Image Processing
Moti Freiman, Yechiel Lamash, Guy Gilboa, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Liran Goshen
2015 — conf
Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations.
MICCAI (2)
Hannes Nickisch, Yechiel Lamash, Sven Prevrhal, Moti Freiman, Mani Vembar, Liran Goshen, Holger Schmitt
2014 — conf
Simultaneous Multi-phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation.
CLIP@MICCAI
Yechiel Lamash, Moti Freiman, Liran Goshen
2008 J jnl
Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Liran Goshen, Ilan Shimshoni
2008 J jnl
Guided Sampling via Weak Motion Models and Outlier Sample Generation for Epipolar Geometry Estimation.
Int. J. Comput. Vis.
Liran Goshen, Ilan Shimshoni
2006 — conf
Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation.
ECCV (2)
Liran Goshen, Ilan Shimshoni
2005 — conf
Guided Sampling via Weak Motion Models and Outlier Sample Generation for Epipolar Geometry Estimation.
CVPR (1)
Liran Goshen, Ilan Shimshoni
2005 J jnl
Motion Recovery by Integrating over the Joint Image Manifold.
Int. J. Comput. Vis.
Liran Goshen, Ilan Shimshoni, P. Anandan, Daniel Keren
2003 A* conf
Recovery of Epipolar Geometry as a Manifold Fitting Problem.
ICCV
Liran Goshen, Ilan Shimshoni, P. Anandan, Daniel Keren
2002 — conf
All Points Considered: A Maximum Likelihood Method for Motion Recovery.
Theoretical Foundations of Computer Vision
Daniel Keren, Ilan Shimshoni, Liran Goshen, Michael Werman