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Liran Goshen
Publication Activity (10 Years)
Years Active: 2002-2021
Publications (10 Years): 6
Top Topics
Blood Flow
Abnormality Detection
Coronary Artery
X Ray
Top Venues
CoRR
CLIP@MICCAI
Patch-MI@MICCAI
MICCAI (2)
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Publications
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Hadas Ben-Atya
,
Ori Rajchert
,
Liran Goshen
,
Moti Freiman
Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation.
CoRR
(2021)
Moti Freiman
,
Ravindra Manjeshwar
,
Liran Goshen
Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders.
CoRR
(2019)
Moti Freiman
,
Hannes Nickisch
,
Holger Schmitt
,
Pal Maurovich-Horvat
,
Patrick Donnelly
,
Mani Vembar
,
Liran Goshen
Learning a sparse database for patch-based medical image segmentation.
CoRR
(2019)
Moti Freiman
,
Hannes Nickisch
,
Sven Prevrhal
,
Holger Schmitt
,
Mani Vembar
,
Pal Maurovich-Horvat
,
Patrick Donnelly
,
Liran Goshen
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation.
CoRR
(2019)
Moti Freiman
,
Hannes Nickisch
,
Holger Schmitt
,
Pal Maurovich-Horvat
,
Patrick Donnelly
,
Mani Vembar
,
Liran Goshen
Learning a Sparse Database for Patch-Based Medical Image Segmentation.
Patch-MI@MICCAI
(2017)
Moti Freiman
,
Yechiel Lamash
,
Guy Gilboa
,
Hannes Nickisch
,
Sven Prevrhal
,
Holger Schmitt
,
Mani Vembar
,
Liran Goshen
Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment.
Medical Imaging: Image Processing
(2016)
Hannes Nickisch
,
Yechiel Lamash
,
Sven Prevrhal
,
Moti Freiman
,
Mani Vembar
,
Liran Goshen
,
Holger Schmitt
Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations.
MICCAI (2)
(2015)
Yechiel Lamash
,
Moti Freiman
,
Liran Goshen
Simultaneous Multi-phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation.
CLIP@MICCAI
(2014)
Liran Goshen
,
Ilan Shimshoni
Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
30 (7) (2008)
Liran Goshen
,
Ilan Shimshoni
Guided Sampling via Weak Motion Models and Outlier Sample Generation for Epipolar Geometry Estimation.
Int. J. Comput. Vis.
80 (2) (2008)
Liran Goshen
,
Ilan Shimshoni
Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation.
ECCV (2)
(2006)
Liran Goshen
,
Ilan Shimshoni
,
P. Anandan
,
Daniel Keren
Motion Recovery by Integrating over the Joint Image Manifold.
Int. J. Comput. Vis.
65 (3) (2005)
Liran Goshen
,
Ilan Shimshoni
Guided Sampling via Weak Motion Models and Outlier Sample Generation for Epipolar Geometry Estimation.
CVPR (1)
(2005)
Liran Goshen
,
Ilan Shimshoni
,
P. Anandan
,
Daniel Keren
Recovery of Epipolar Geometry as a Manifold Fitting Problem.
ICCV
(2003)
Daniel Keren
,
Ilan Shimshoni
,
Liran Goshen
,
Michael Werman
All Points Considered: A Maximum Likelihood Method for Motion Recovery.
Theoretical Foundations of Computer Vision
(2002)