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2020 – today
- 2022
[c31]Nasrullah Sheikh, Xiao Qin, Yaniv Gur, Berthold Reinwald:
Distributed Training of Knowledge Graph Embedding Models using Ray. EDBT 2022: 2:549-2:553- 2021
- [c30]Yaniv Gur, Dongsheng Yang, Frederik Stalschus, Berthold Reinwald:
Adaptive Multi-Model Reinforcement Learning for Online Database Tuning. EDBT 2021: 439-444 - 2020
- [j6]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): 3354-3368 (2020) - [c29]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 - [c28]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: 799-803 - [c27]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: 1125-1129 - [c26]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: 1851-1855 - [c25]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: 561-571 - [i4]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 abs/2007.13831 (2020) - [i3]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 abs/2008.00363 (2020)
2010 – 2019
- 2019
- [c24]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: 863-867 - [e1]Kenji Suzuki
, Mauricio Reyes, Tanveer F. Syeda-Mahmood, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi:
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11797, Springer 2019, ISBN 978-3-030-33849-7 [contents] - [i2]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 abs/1906.09336 (2019) - 2018
- [c23]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: 449-456 - [i1]Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood:
Bimodal network architectures for automatic generation of image annotation from text. CoRR abs/1809.01610 (2018) - 2017
- [c22]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: 667-670 - [c21]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: 87-95 - [c20]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: 168-176 - [c19]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: 594-602 - 2016
- [c18]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: 1418-1421 - [c17]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. Computer-Aided Diagnosis 2016: 97850A - [c16]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: 238-245 - [c15]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: 300-307 - 2015
- [j5]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): 316-331 (2015) - [c14]Tal Darom, Yaniv Gur, Chen Hajaj, Yosi Keller:
Automatic anatomical shape correspondence and alignment using mesh features. ISBI 2015: 1530-1534 - 2014
- [j4]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): 384-399 (2014) - [c13]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: 529-532 - [c12]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: 742-745 - [c11]Yaniv Gur, Chris R. Johnson:
Generalized HARDI invariants by method of tensor contraction. ISBI 2014: 718-721 - [c10]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: 1055-1058 - 2013
- [c9]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: 419-422 - [c8]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: 644-655 - 2012
- [c7]Fangxiang Jiao, Jeff M. Phillips, Yaniv Gur, Chris R. Johnson:
Uncertainty visualization in HARDI based on ensembles of ODFs. PacificVis 2012: 193-200 - [p1]Yaniv Gur, Ofer Pasternak, Nir A. Sochen:
SPD Tensors Regularization via Iwasawa Decomposition. Mathematical Methods for Signal and Image Analysis and Representation 2012: 83-100 - 2011
- [j3]Yosi Keller, Yaniv Gur:
A Diffusion Approach to Network Localization. IEEE Trans. Signal Process. 59(6): 2642-2654 (2011) - [c6]Fangxiang Jiao, Yaniv Gur, Chris R. Johnson, Sarang C. Joshi:
Detection of Crossing White Matter Fibers with High-Order Tensors and Rank-k Decompositions. IPMI 2011: 538-549 - [c5]Manasi Datar, Yaniv Gur, Beatriz Paniagua, Martin Styner, Ross T. Whitaker:
Geometric Correspondence for Ensembles of Nonregular Shapes. MICCAI (2) 2011: 368-375
2000 – 2009
- 2009
- [j2]Yaniv Gur, Ofer Pasternak, Nir A. Sochen:
Fast GL(n)-Invariant Framework for Tensors Regularization. Int. J. Comput. Vis. 85(3): 211-222 (2009) - [j1]Yaniv Gur, Nir A. Sochen:
Regularizing Flows over Lie Groups. J. Math. Imaging Vis. 33(2): 195-208 (2009) - 2008
- [c4]Yaniv Gur, Nir A. Sochen:
Non-Abelian invariant feature detection. ICPR 2008: 1-4 - 2007
- [c3]Yaniv Gur, Nir A. Sochen:
Fast Invariant Riemannian DT-MRI Regularization. ICCV 2007: 1-7 - [c2]Yaniv Gur, Nir A. Sochen:
Coordinate-Free Diffusion over Compact Lie-Groups. SSVM 2007: 580-591 - 2005
- [c1]Yaniv Gur, Nir A. Sochen:
Denoising Tensors via Lie Group Flows. VLSM 2005: 13-24
Coauthor Index
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