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Haj‐Hosseini, Neda
30  Ergebnisse:
OpenAccess-Volltexte X
Personensuche X
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1

5-ALA fluorescence in randomly selected pediatric brain tum..:

Milos, Peter ; Haj-Hosseini, Neda ; Hillman, Jan.
Acta Neurochirurgica, 0001-6268, 2023, 165:1, s. 71-81.  , 2023
Link: http://urn.kb.se/resolve..
 
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2

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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3

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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4

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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5

Early Detection of Oral Potentially Malignant Disorders : A..:

Haj-Hosseini, Neda ; Lindblad, Joakim ; Hasséus, Bengt...
, 2022.  , 2022
Link: http://urn.kb.se/resolve..
 
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6

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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7

5-ALA fluorescence in randomly selected pediatric brain tum..:

Milos, Peter ; Haj-Hosseini, Neda ; Hillman, Jan.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840574/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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8

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

Iulian Emil Tampu ; Anders Eklund ; Neda Haj-Hosseini
https://doi.org/10.1038/s41597-022-01618-6.  , 2022
Link: https://doi.org/10.1038/..
 
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9

Early Detection of Oral Potentially Malignant Disorders : A..:

Haj-Hosseini, Neda ; Lindblad, Joakim ; Hasséus, Bengt...
, 2022.  , 2022
Link: http://urn.kb.se/resolve..
 
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10

Optical Brain Biopsy with a Fluorescence and Vessel Tracing..:

Richter, Johan ; Haj-Hosseini, Neda ; Milos, Peter..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440062/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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11

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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12

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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13

Optical Brain Biopsy with a Fluorescence and Vessel Tracing..:

Richter, Johan ; Haj-Hosseini, Neda ; Milos, Peter..
Operative Neurosurgery, 2332-4252, 2021, 21:4, s. 217-224.  , 2021
Link: http://urn.kb.se/resolve..
 
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14

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

Iulian Emil Tampu ; Neda Haj-Hosseini ; Anders Eklund
https://www.mdpi.com/2075-4418/11/7/1159.  , 2021
Link: https://doi.org/10.3390/..
 
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15

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

Tampu, Iulian Emil ; Haj-Hosseini, Neda ; Eklund, Anders
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306843/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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