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Ungan, Gülnur
16  results:
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1

Early pseudoprogression and progression lesions in glioblas..:

Ungan, Gülnur ; Pons‐Escoda, Albert ; Ulinic, Daniel...
NMR in Biomedicine.  37 (2024)  4 - p. , 2024
Link: https://doi.org/10.1002/..
 
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2

Advances in the Use of Deep Learning for the Analysis of Ma..:

Pitarch, Carla ; Ungan, Gulnur ; Julià-Sapé, Margarida.
Cancers.  16 (2024)  2 - p. 300 , 2024
Link: https://doi.org/10.3390/..
 
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3

A comparison of non‐negative matrix underapproximation meth..:

Ungan, Gulnur ; Arús, Carles ; Vellido, Alfredo.
NMR in Biomedicine.  36 (2023)  12 - p. , 2023
Link: https://doi.org/10.1002/..
 
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4

Using Single-Voxel Magnetic Resonance Spectroscopy Data Acq..:

Ungan, Gülnur ; Pons-Escoda, Albert ; Ulinic, Daniel...
Cancers.  15 (2023)  14 - p. 3709 , 2023
Link: https://doi.org/10.3390/..
 
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5

Metastatic melanoma treated by immunotherapy: discovering p..:

Ungan, Gulnur ; Lavandier, Anne-Flore ; Rouanet, Jacques...
International Journal of Computer Assisted Radiology and Surgery.  17 (2022)  10 - p. 1867-1877 , 2022
Link: https://doi.org/10.1007/..
 
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6

Using single-voxel magnetic resonance spectroscopy data acq..:

Ungan, Gülnur ; Pons Escoda, Albert ; Ulinic, Daniel...
https://www.mdpi.com/2072-6694/15/14/3709.  , 2023
Link: http://hdl.handle.net/21..
 
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7

Using Single-Voxel Magnetic Resonance Spectroscopy Data Acq..:

Ungan, Gülnur ; Pons Escoda, Albert ; Ulinic, Daniel...
Reproducció del document publicat a: https://doi.org/10.3390/cancers15143709.  , 2023
Link: http://hdl.handle.net/24..
 
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8

Using Single-Voxel Magnetic Resonance Spectroscopy Data Acq..:

Ungan, Gülnur ; Pons Escoda, Albert ; Ulinic, Daniel...
Reproducció del document publicat a: https://doi.org/10.3390/cancers15143709.  , 2023
Link: http://hdl.handle.net/24..
 
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9

A comparison of non-negative matrix underapproximation meth..:

Ungan, Gülnur ; Arus Caraltó, Carles ; Vellido Alcacena, Alfredo.
https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/nbm.5020.  , 2023
Link: http://hdl.handle.net/21..
 
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10

Early pseudoprogression and progression lesions in glioblas..:

Ungan, Gulnur Semahat ; Pons-Escoda, Albert ; Ulinic, Daniel...
European Commission 813120.  , 2024
Link: https://ddd.uab.cat/reco..
 
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11

Advances in the Use of Deep Learning for the Analysis of Ma..:

Pitarch, Carla ; Ungan, Gulnur Semahat ; Julià Sapé, Ma. Margarita.
European Commission 813120.  , 2024
Link: https://ddd.uab.cat/reco..
 
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12

Using Single-Voxel Magnetic Resonance Spectroscopy Data Acq..:

Ungan, Gulnur Semahat ; Pons-Escoda, Albert ; Ulinic, Daniel...
European Commission 813120.  , 2023
Link: https://ddd.uab.cat/reco..
 
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13

A comparison of non-negative matrix underapproximation meth..:

Ungan, Gulnur Semahat ; Arús i Caraltó, Carles ; Vellido, Alfredo.
European Commission 813120.  , 2023
Link: https://ddd.uab.cat/reco..
 
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14

Advances in the Use of Deep Learning for the Analysis of Ma..:

Carla Pitarch ; Gulnur Ungan ; Margarida Julià-Sapé.
https://www.mdpi.com/2072-6694/16/2/300.  , 2024
Link: https://doi.org/10.3390/..
 
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15

Using Single-Voxel Magnetic Resonance Spectroscopy Data Acq..:

Gülnur Ungan ; Albert Pons-Escoda ; Daniel Ulinic...
Methods and Technologies Development.  , 2023
Link: https://doi.org/10.3390/..
 
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