Yaniv Gur

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 22

Top Topics

Graph Embedding

Motion Correction

Top Venues

Publications

Nasrullah Sheikh, Xiao Qin, Yaniv Gur, Berthold Reinwald
Distributed Training of Knowledge Graph Embedding Models using Ray. EDBT (2022)
Yaniv Gur, Dongsheng Yang, Frederik Stalschus, Berthold Reinwald
Adaptive Multi-Model Reinforcement Learning for Online Database Tuning. EDBT (2021)
Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. ISBI (2020)
Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. CoRR (2020)
Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi
Chest X-ray Report Generation through Fine-Grained Label Learning. CoRR (2020)
Joy T. Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities. ISBI (2020)
Joy T. Wu, Ali Bin Syed, Hassan M. Ahmad, Anup Pillai, Yaniv Gur, Ashutosh Jadhav, Daniel F. Gruhl, Linda Kato, Mehdi Moradi, Tanveer F. Syeda-Mahmood
AI Accelerated Human-in-the-loop Structuring of Radiology Reports. AMIA (2020)
Lukas Rupprecht, James C. Davis, Constantine Arnold, Yaniv Gur, Deepavali Bhagwat
Improving Reproducibility of Data Science Pipelines through Transparent Provenance Capture. Proc. VLDB Endow. 13 (12) (2020)
Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi
Chest X-Ray Report Generation Through Fine-Grained Label Learning. MICCAI (2) (2020)
Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Anup Pillai, Arjun Sharma, Yaniv Gur, Hassan M. Ahmad, Minnekanti Sunil Chowdary, Chiranjeevi J, Kiran Kumar Reddy Polaka, Venkateswar Wunnava, D. C. Reddy, Tanveer F. Syeda-Mahmood
A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs. ISBI (2020)
Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, Karthik Sheshadri, Weiting Wang, Ken C. L. Wong, Joy T. Wu
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. CoRR (2019)
Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, K. Seshadhri, Weiting Wang, Ken C. L. Wong, Joy T. Wu
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. ISBI (2019)
Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood
Bimodal network architectures for automatic generation of image annotation from text. CoRR (2018)
Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood
Bimodal Network Architectures for Automatic Generation of Image Annotation from Text. MICCAI (1) (2018)
Guy Amit, Omer Hadad, Sharon Alpert, Tal Tlusty, Yaniv Gur, Rami Ben-Ari, Sharbell Y. Hashoul
Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning. MICCAI (3) (2017)
Yaniv Gur, Mehdi Moradi, Hakan Bulu, Yufan Guo, Colin B. Compas, Tanveer F. Syeda-Mahmood
Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies. CVII-STENT/LABELS@MICCAI (2017)
Hongzhi Wang, Mehdi Moradi, Yaniv Gur, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification. MICCAI (3) (2017)
Mehdi Moradi, Yufan Guo, Yaniv Gur, Tanveer F. Syeda-Mahmood
Automatic labeling of continuous wave Doppler images based on combined image and sentence networks. ISBI (2017)
Tanveer F. Syeda-Mahmood, Yanrong Guo, Mehdi Moradi, David Beymer, Deepta Rajan, Yu Cao, Yaniv Gur, Mohammadreza Negahdar
Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data. MICCAI (3) (2016)
Mehdi Moradi, Yufan Guo, Yaniv Gur, Mohammadreza Negahdar, Tanveer F. Syeda-Mahmood
A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation. MICCAI (2) (2016)
Tanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, Flora Gilboa-Solomon, Mehdi Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, Hongzhi Wang, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul
Medical sieve: a cognitive assistant for radiologists and cardiologists. Medical Imaging: Computer-Aided Diagnosis (2016)
Mehdi Moradi, Yaniv Gur, Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position. ISBI (2016)
Lipeng Ning, Frederik B. Laun, Yaniv Gur, Edward V. R. DiBella, Samuel Deslauriers-Gauthier, Thinhinane Megherbi, Aurobrata Ghosh, Mauro Zucchelli, Gloria Menegaz, Rutger Fick, Samuel St-Jean, Michael Paquette, Ramón Aranda, Maxime Descoteaux, Rachid Deriche, Lauren O'Donnell, Yogesh Rathi
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? Medical Image Anal. 26 (1) (2015)
Tal Darom, Yaniv Gur, Chen Hajaj, Yosi Keller
Automatic anatomical shape correspondence and alignment using mesh features. ISBI (2015)
Jessie France, Yaniv Gur, Robert M. Kirby, Chris R. Johnson
A Bayesian Approach to Quantifying Uncertainty in Tikhonov Solutions for the Inverse Problem of Electrocardiography. CinC (2014)
Shireen Y. Elhabian, Yaniv Gur, Clement Vachet, Joseph Piven, Martin Styner, Ilana Leppert, G. Bruce Pike, Guido Gerig
A preliminary study on the effect of motion correction on HARDI reconstruction. ISBI (2014)
Ganesh Adluru, Yaniv Gur, Jeffrey S. Anderson, Lorie G. Richards, Nagesh Adluru, Edward V. R. DiBella
Assessment of white matter microstructure in stroke patients using NODDI. EMBC (2014)
Alessandro Daducci, Erick Jorge Canales-Rodríguez, Maxime Descoteaux, Eleftherios Garyfallidis, Yaniv Gur, Ying-Chia Lin, Merry Mani, Sylvain Merlet, Michael Paquette, Alonso Ramirez-Manzanares, Marco Reisert, Paulo Reis Rodrigues, Farshid Sepehrband, Emmanuel Caruyer, Jeiran Choupan, Rachid Deriche, Mathews Jacob, Gloria Menegaz, Vesna Prckovska, Mariano Rivera, Yves Wiaux, Jean-Philippe Thiran
Quantitative Comparison of Reconstruction Methods for Intra-Voxel Fiber Recovery From Diffusion MRI. IEEE Trans. Medical Imaging 33 (2) (2014)
Yaniv Gur, Chris R. Johnson
Generalized HARDI invariants by method of tensor contraction. ISBI (2014)
Xinghua Zhu, Yaniv Gur, Wenping Wang, P. Thomas Fletcher
Model Selection and Estimation of Multi-compartment Models in Diffusion MRI with a Rician Noise Model. IPMI (2013)
David K. Hammond, Yaniv Gur, Chris R. Johnson
Graph diffusion distance: A difference measure for weighted graphs based on the graph Laplacian exponential kernel. GlobalSIP (2013)
Fangxiang Jiao, Jeff M. Phillips, Yaniv Gur, Chris R. Johnson
Uncertainty visualization in HARDI based on ensembles of ODFs. PacificVis (2012)
Manasi Datar, Yaniv Gur, Beatriz Paniagua, Martin Styner, Ross T. Whitaker
Geometric Correspondence for Ensembles of Nonregular Shapes. MICCAI (2) (2011)
Fangxiang Jiao, Yaniv Gur, Chris R. Johnson, Sarang C. Joshi
Decompositions. IPMI (2011)
Yosi Keller, Yaniv Gur
A Diffusion Approach to Network Localization. IEEE Trans. Signal Process. 59 (6) (2011)
Yaniv Gur, Nir A. Sochen
Regularizing Flows over Lie Groups. J. Math. Imaging Vis. 33 (2) (2009)
Yaniv Gur, Ofer Pasternak, Nir A. Sochen
)-Invariant Framework for Tensors Regularization. Int. J. Comput. Vis. 85 (3) (2009)
Yaniv Gur, Nir A. Sochen
Non-Abelian invariant feature detection. ICPR (2008)
Yaniv Gur, Nir A. Sochen
Coordinate-Free Diffusion over Compact Lie-Groups. SSVM (2007)
Yaniv Gur, Nir A. Sochen
Fast Invariant Riemannian DT-MRI Regularization. ICCV (2007)
Yaniv Gur, Nir A. Sochen
Denoising Tensors via Lie Group Flows. VLSM (2005)