Öksüz, İlkay
61  Ergebnisse:
Personensuche X
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3

A joint convolutional-recurrent neural network with an atte..:

Alis, Deniz ; Alis, Ceren ; Yergin, Mert...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826390/.  , 2022
 
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4

Neural-network dose-prediction for rectal spacer stratifica..:

Thomas, Christopher ; Dregely, Isabel ; Oksuz, Ilkay...
Thomas , C , Dregely , I , Oksuz , I , Urbano , T G , Greener , T , King , A P & Barrington , S F 2022 , ' Neural-network dose-prediction for rectal spacer stratification in dose-escalated prostate radiotherapy ' , Medical Physics , vol. 49 , no. 4 , pp. 2172-2182 . https://doi.org/10.1002/mp.15575.  , 2022
 
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5

Neural-network dose-prediction for rectal spacer stratifica..:

Thomas, Christopher ; Dregely, Isabel ; Oksuz, Ilkay...
Thomas , C , Dregely , I , Oksuz , I , Urbano , T G , Greener , T , King , A P & Barrington , S F 2022 , ' Neural-network dose-prediction for rectal spacer stratification in dose-escalated prostate radiotherapy ' , Medical Physics , vol. 49 , no. 4 , pp. 2172-2182 . https://doi.org/10.1002/mp.15575.  , 2022
 
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6

Left Ventricle Quantification Challenge: A Comprehensive Co..:

Xue, Wufeng ; Li, Jiahui ; Hu, Zhiqiang...
info:eu-repo/semantics/altIdentifier/doi/10.1109/JBHI.2021.3064353.  , 2021
 
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7

Comparison of machine learning methods for prediction of os..:

Humbert-Vidan, Laia ; Patel, Vinod ; Oksuz, Ilkay..
Humbert-Vidan , L , Patel , V , Oksuz , I , King , A P & Guerrero Urbano , T 2021 , ' Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancer ' , The British journal of radiology , vol. 94 , no. 1120 , pp. 20200026 . https://doi.org/10.1259/bjr.20200026.  , 2021
 
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8

Left Ventricle Quantification Challenge: A Comprehensive Co..:

Xue, Wufeng ; Li, Jiahui ; Hu, Zhiqiang...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611810/.  , 2021
 
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9

Inter-vendor performance of deep learning in segmenting acu..:

Alis, Deniz ; Yergin, Mert ; Alis, Ceren...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203621/.  , 2021
 
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10

Comparison of machine learning methods for prediction of os..:

Humbert-Vidan, Laia ; Patel, Vinod ; Oksuz, Ilkay..
Humbert-Vidan , L , Patel , V , Oksuz , I , King , A P & Guerrero Urbano , T 2021 , ' Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancer ' , The British journal of radiology , vol. 94 , no. 1120 , pp. 20200026 . https://doi.org/10.1259/bjr.20200026.  , 2021
 
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11

Left Ventricle Quantification Challenge: A Comprehensive Co..:

Xue, Wufeng ; Li, Jiahui ; Hu, Zhiqiang...
info:eu-repo/semantics/altIdentifier/doi/10.1109/JBHI.2021.3064353.  , 2021
 
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13

Left Ventricle Quantification Challenge: A Comprehensive Co..:

Xue, Wufeng ; Li, Jiahui ; Hu, Zhiqiang...
info:eu-repo/semantics/altIdentifier/doi/10.1109/JBHI.2021.3064353.  , 2021
 
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14

Assessing the Impact of Blood Pressure on Cardiac Function ..:

Puyol-Antón, Esther ; Ruijsink, Bram ; Clough, James R...
Puyol-Antón , E , Ruijsink , B , Clough , J R , Oksuz , I , Rueckert , D , Razavi , R & King , A P 2020 , Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders . in M Pop , M Sermesant , O Camara , X Zhuang , S Li , A Young , T Mansi & A Suinesiaputra (eds) , Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Revised Selected Papers . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 12009 LNCS , pp. 22-30 , 10th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2019, held in conjunction with the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 201....  , 2020
 
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15

An objective comparison of detection and segmentation algor..:

Ali, Sharib ; Zhou, Felix ; Braden, Barbara...
https://eprints.mdx.ac.uk/31034/1/scientifc-report.pdf.  , 2020
 
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