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Tampu, Iulian Emil
19  Ergebnisse:
Personensuche X
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1

Deep learning-based detection and identification of brain t..:

Tampu, Iulian Emil ; Haj-Hosseini, Neda ; Blystad, Ida.
Machine Learning: Science and Technology.  4 (2023)  3 - p. 035038 , 2023
Link: https://doi.org/10.1088/..
 
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2

Diseased thyroid tissue classification in OCT images using ..:

Tampu, Iulian Emil ; Eklund, Anders ; Johansson, Kenth..
Journal of Biophotonics.  16 (2022)  2 - p. , 2022
Link: https://doi.org/10.1002/..
 
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3

Inflation of test accuracy due to data leakage in deep lear..:

Tampu, Iulian Emil ; Eklund, Anders ; Haj-Hosseini, Neda
Scientific Data.  9 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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4

Does Anatomical Contextual Information Improve 3D U-Net-Bas..:

Tampu, Iulian Emil ; Haj-Hosseini, Neda ; Eklund, Anders
Diagnostics.  11 (2021)  7 - p. 1159 , 2021
Link: https://doi.org/10.3390/..
 
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5

Optical coherence tomography for thyroid pathology: 3D anal..:

Tampu, Iulian Emil ; Maintz, Michaela ; Koller, Daniela...
Biomedical Optics Express.  11 (2020)  8 - p. 4130 , 2020
Link: https://doi.org/10.1364/..
 
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6

Diseased thyroid tissue classification in OCT images using ..:

Tampu, Iulian Emil ; Eklund, Anders ; Johansson, Kenth..
Journal of Biophotonics, 1864-063X, 2023, 16:2,.  , 2023
Link: http://urn.kb.se/resolve..
 
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7

Deep learning-based detection and identification of brain t..:

Tampu, Iulian Emil ; Haj-Hosseini, Neda ; Blystad, Ida.
Machine Learning : Science and Technology, 2023, 4:3,.  , 2023
Link: http://urn.kb.se/resolve..
 
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8

Inflation of test accuracy due to data leakage in deep lear..:

Tampu, Iulian Emil ; Eklund, Anders ; Haj-Hosseini, Neda
http://arxiv.org/abs/2202.12267.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Inflation of test accuracy due to data leakage in deep lear..:

Tampu, Iulian Emil ; Eklund, Anders ; Haj-Hosseini, Neda
Scientific Data, 2022, 9:1,.  , 2022
Link: http://urn.kb.se/resolve..
 
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10

Deep-learning for thyroid microstructure segmentation in 2D..:

Tampu, Iulian Emil ; Eklund, Anders ; Haj-Hosseini, Neda
Proceedings of SPIE, 0277-786X.  , 2021
Link: http://urn.kb.se/resolve..
 
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11

Does Anatomical Contextual Information Improve 3D U-Net-Bas..:

Tampu, Iulian Emil ; Haj-Hosseini, Neda ; Eklund, Anders
Diagnostics, 2075-4418, 2021, 11:7,.  , 2021
Link: http://urn.kb.se/resolve..
 
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12

Optical coherence tomography for thyroid pathology: 3D anal..:

Tampu, Iulian Emil ; Maintz, Michaela ; Koller, Daniela...
Biomedical Optics Express, 2020, 11:8, s. 4130-4149.  , 2020
Link: http://urn.kb.se/resolve..
 
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13

Does anatomical contextual information improve 3D U-Net bas..:

Tampu, Iulian Emil ; Haj-Hosseini, Neda ; Eklund, Anders
http://arxiv.org/abs/2010.13460.  , 2020
Link: http://arxiv.org/abs/201..
 
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14

Morphological characterization of neural tissue microstruct..:

Tampu, Iulian Emil
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158153.  , 2019
Link: http://urn.kb.se/resolve..
 
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15

Deep learning-based detection and identification of brain t..:

Iulian Emil Tampu ; Neda Haj-Hosseini ; Ida Blystad.
https://doi.org/10.1088/2632-2153/acf095.  , 2023
Link: https://doi.org/10.1088/..
 
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