Liran Goshen

发表

Sensitivity of Auto-Segmentation to CT Reconstruction Algorithms

D Mittelstaedt, P Klar, Siamak P Nejad-Davarani, 2017 .

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

Ilan Shimshoni, Liran Goshen, 2005, CVPR.

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

Hannes Nickisch, Mani Vembar, Yechiel Lamash, 2015, MICCAI.

Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation

Ilan Shimshoni, Liran Goshen, 2008, IEEE Trans. Pattern Anal. Mach. Intell..

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

Patrick Donnelly, Moti Freiman, Hannes Nickisch, 2017, Patch-MI@MICCAI.

Arterial double-contrast dual-energy MDCT: in-vivo rabbit atherosclerosis with iodinated nanoparticles and gadolinium agents

Liran Goshen, Jacob Sosna, Raz Carmi, 2010, Medical Imaging.

Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation

Ilan Shimshoni, Liran Goshen, I. Shimshoni, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Recovery of epipolar geometry as a manifold fitting problem

P. Anandan, Daniel Keren, Ilan Shimshoni, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

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

Yechiel Lamash, Liran Goshen, Moti Freiman, 2014, CLIP@MICCAI.

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

Guy Gilboa, Hannes Nickisch, Mani Vembar, 2016, SPIE Medical Imaging.

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

Liran Goshen, Moti Freiman, Ravindra Manjeshwar, 2019, Medical physics.

All Points Considered: A Maximum Likelihood Method for Motion Recovery

Michael Werman, Daniel Keren, Ilan Shimshoni, 2002, Theoretical Foundations of Computer Vision.

Motion Recovery by Integrating over the Joint Image Manifold

P. Anandan, Daniel Keren, Ilan Shimshoni, 2005, International Journal of Computer Vision.

An iodine-calcium separation analysis and virtually non-contrasted image generation obtained with single source dual energy MDCT

Liran Goshen, Jacob Sosna, Raz Carmi, 2008, 2008 IEEE Nuclear Science Symposium Conference Record.

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

Ilan Shimshoni, Liran Goshen, I. Shimshoni, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

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

Patrick Donnelly, Hannes Nickisch, Mani Vembar, 2017, Medical physics.

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

Liran Goshen, Moti Freiman, Hadas Ben-Atya, 2021, 2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS).

A unique noncathartic CT colonography approach by using two-layer dual-energy MDCT and a special algorithmic colon cleansing method

Liran Goshen, Jacob Sosna, Raz Carmi, 2008, 2008 IEEE Nuclear Science Symposium Conference Record.