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Gur, Yaniv
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1

Looking in the Right Place for Anomalies: Explainable Ai Th..:

, In: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI),
Kashyap, Satyananda ; Karargyris, Alexandros ; Wu, Joy... - p. 1125-1129 , 2020
Link: https://doi.org/10.1109/..
 
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2

Chest X-Ray Report Generation Through Fine-Grained Label Le..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science,
Syeda-Mahmood, Tanveer ; Wong, Ken C. L. ; Gur, Yaniv... - p. 561-571 , 2020
Link: https://doi.org/10.1007/..
 
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3

Improving reproducibility of data science pipelines through..:

Rupprecht, Lukas ; Davis, James C. ; Arnold, Constantine..
Proceedings of the VLDB Endowment.  13 (2020)  12 - p. 3354-3368 , 2020
Link: https://dl.acm.org/doi/1..
 
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4

Automatic Bounding Box Annotation of Chest X-Ray Data for L..:

, In: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI),
Wu, Joy ; Gur, Yaniv ; Karargyris, Alexandros... - p. 799-803 , 2020
Link: https://doi.org/10.1109/..
 
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5

A Robust Network Architecture to Detect Normal Chest X-Ray ..:

, In: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI),
Wong, Ken C. L. ; Moradi, Mehdi ; Wu, Joy... - p. 1851-1855 , 2020
Link: https://doi.org/10.1109/..
 
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6

Improving reproducibility of data science pipelines through..:

Rupprecht, Lukas ; Davis, James C. ; Arnold, Constantine..
Proceedings of the VLDB Endowment.  13 (2020)  12 - p. 3354-3368 , 2020
Link: https://doi.org/10.14778..
 
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7

Correction to: Interpretability of Machine Intelligence in ..:

, In: Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support; Lecture Notes in Computer Science,
Suzuki, Kenji ; Reyes, Mauricio ; Syeda-Mahmood, Tanveer... - p. C1-C1 , 2019
Link: https://doi.org/10.1007/..
 
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8

Interpretability of Machine Intelligence in Medical Image C.. 

Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11797
Suzuki, Kenji ; Reyes, Mauricio ; Syeda-Mahmood, Tanveer... - 1st ed. 2019 . , 2019
Link: https://doi.org/10.1007/..
 
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9

Bimodal Network Architectures for Automatic Generation of I..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018; Lecture Notes in Computer Science,
Moradi, Mehdi ; Madani, Ali ; Gur, Yaniv.. - p. 449-456 , 2018
Link: https://doi.org/10.1007/..
 
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10

Sparse Reconstruction Challenge for diffusion MRI: Validati..:

Ning, Lipeng ; Laun, Frederik ; Gur, Yaniv...
Medical Image Analysis.  26 (2015)  1 - p. 316-331 , 2015
Link: https://doi.org/10.1016/..
 
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11

MRI reconstruction of multi‐image acquisitions using a rank..:

Adluru, Ganesh ; Gur, Yaniv ; Chen, Liyong...
Medical Physics.  42 (2015)  8 - p. 4734-4744 , 2015
Link: https://doi.org/10.1118/..
 
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12

Subject–Motion Correction in HARDI Acquisitions: Choices an..:

Elhabian, Shireen ; Gur, Yaniv ; Vachet, Clement...
Frontiers in Neurology.  5 (2014)  - p. , 2014
Link: https://doi.org/10.3389/..
 
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13

Regularizing Flows over Lie Groups:

Gur, Yaniv ; Sochen, Nir
Journal of Mathematical Imaging and Vision.  33 (2009)  2 - p. 195-208 , 2009
Link: https://doi.org/10.1007/..
 
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14

Free water elimination and mapping from diffusion MRI:

Pasternak, Ofer ; Sochen, Nir ; Gur, Yaniv..
Magnetic Resonance in Medicine.  62 (2009)  3 - p. 717-730 , 2009
Link: https://doi.org/10.1002/..
 
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15

Fast GL(n)-Invariant Framework for Tensors Regularization:

Gur, Yaniv ; Pasternak, Ofer ; Sochen, Nir
International Journal of Computer Vision.  85 (2008)  3 - p. 211-222 , 2008
Link: https://doi.org/10.1007/..
 
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