Yaniv Gur

According to our database1, Yaniv Gur authored at least 39 papers between 2005 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Distributed Training of Knowledge Graph Embedding Models using Ray.
Proceedings of the 25th International Conference on Extending Database Technology, 2022

2021
Adaptive Multi-Model Reinforcement Learning for Online Database Tuning.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020
Improving Reproducibility of Data Science Pipelines through Transparent Provenance Capture.
Proc. VLDB Endow., 2020

Chest X-Ray Report Generation Through Fine-Grained Label Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

AI Accelerated Human-in-the-loop Structuring of Radiology Reports.
Proceedings of the AMIA 2020, 2020

2019
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays.
CoRR, 2019

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Bimodal Network Architectures for Automatic Generation of Image Annotation from Text.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Automatic labeling of continuous wave Doppler images based on combined image and sentence networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Medical sieve: a cognitive assistant for radiologists and cardiologists.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?
Medical Image Anal., 2015

Automatic anatomical shape correspondence and alignment using mesh features.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Quantitative Comparison of Reconstruction Methods for Intra-Voxel Fiber Recovery From Diffusion MRI.
IEEE Trans. Medical Imaging, 2014

Generalized HARDI invariants by method of tensor contraction.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

A preliminary study on the effect of motion correction on HARDI reconstruction.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Assessment of white matter microstructure in stroke patients using NODDI.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A Bayesian Approach to Quantifying Uncertainty in Tikhonov Solutions for the Inverse Problem of Electrocardiography.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
Model Selection and Estimation of Multi-compartment Models in Diffusion MRI with a Rician Noise Model.
Proceedings of the Information Processing in Medical Imaging, 2013

Graph diffusion distance: A difference measure for weighted graphs based on the graph Laplacian exponential kernel.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Uncertainty visualization in HARDI based on ensembles of ODFs.
Proceedings of the 2012 IEEE Pacific Visualization Symposium, 2012

SPD Tensors Regularization via Iwasawa Decomposition.
Proceedings of the Mathematical Methods for Signal and Image Analysis and Representation, 2012

2011
A Diffusion Approach to Network Localization.
IEEE Trans. Signal Process., 2011

Geometric Correspondence for Ensembles of Nonregular Shapes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Detection of Crossing White Matter Fibers with High-Order Tensors and Rank-<i>k</i> Decompositions.
Proceedings of the Information Processing in Medical Imaging, 2011

2009
Regularizing Flows over Lie Groups.
J. Math. Imaging Vis., 2009

Fast <i>GL</i>(<i>n</i>)-Invariant Framework for Tensors Regularization.
Int. J. Comput. Vis., 2009

2008
Non-Abelian invariant feature detection.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Coordinate-Free Diffusion over Compact Lie-Groups.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Fast Invariant Riemannian DT-MRI Regularization.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2005
Denoising Tensors via Lie Group Flows.
Proceedings of the Variational, 2005


  Loading...