Sijtsema, J.J
521  Ergebnisse:
Personensuche X
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1

Tackling heterogeneity in medical federated learning via al..:

Darzi, Erfan ; Shen, Yiqing ; Ou, Yangming..
Artificial Intelligence in Medicine.  155 (2024)  - p. 102936 , 2024
 
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4

Deep learning-based outcome prediction using PET/CT and aut..:

De Biase, Alessia ; Ma, Baoqiang ; Guo, Jiapan...
Computer Methods and Programs in Biomedicine.  244 (2024)  - p. 107939 , 2024
 
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5

3D deep learning Normal Tissue Complication Probability mod..:

Chu, Hung ; de Vette, Suzanne P.M. ; Neh, Hendrike...
International Journal of Radiation Oncology*Biology*Physics.  , 2024
 
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6

Ex vivo radiation sensitivity assessment for individual hea..:

Lauwers, I. ; Pachler, K.S. ; Capala, M.E....
Clinical and Translational Radiation Oncology.  45 (2024)  - p. 100735 , 2024
 
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8

Relating pre-treatment non-Gaussian intravoxel incoherent m..:

Sijtsema, Nienke D. ; Lauwers, Iris ; Verduijn, Gerda M....
Physics and Imaging in Radiation Oncology.  30 (2024)  - p. 100574 , 2024
 
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11

CAN BREAST SURFACE IMAGING PREDICT THE NEED FOR PHOTON OR P..:

Hamming, Vincent ; Strbac, Bojan ; Marmitt, Gabriel Guterres...
International Journal of Particle Therapy.  12 (2024)  - p. 100283 , 2024
 
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