Lenkowicz, J.
217  Ergebnisse:
Personensuche X
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4

PO-2090 Can Radiomics support Early Regression Index in pre..:

Boldrini, L. ; Chiloiro, G. ; Cusumano, D....
Radiotherapy and Oncology.  182 (2023)  - p. S1872-S1873 , 2023
 
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7

PO-1679 Deep learning approach to generate synthetic CT fro..:

Vellini, L. ; Menna, S. ; Zucca, S....
Radiotherapy and Oncology.  182 (2023)  - p. S1385-S1387 , 2023
 
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8

Reply:

Moro, F. ; Boldrini, L. ; Lenkowicz, J....
Ultrasound in Obstetrics & Gynecology.  60 (2022)  2 - p. 299-300 , 2022
 
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9

Developing and validating ultrasound‐based radiomics models..:

Moro, F. ; Albanese, M. ; Boldrini, L....
Ultrasound in Obstetrics & Gynecology.  60 (2022)  2 - p. 256-268 , 2022
 
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11

PO-1814 Enhancing a radiomic-based model prediction of pati..:

Tang, B. ; Peng, Q. ; Lenkowicz, J....
Radiotherapy and Oncology.  161 (2021)  - p. S1543-S1544 , 2021
 
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13

PO-1792 On dose cube pixel spacing pre-processing for featu..:

Placidi, L. ; Cusumano, D. ; Lenkowicz, J...
Radiotherapy and Oncology.  161 (2021)  - p. S1517-S1518 , 2021
 
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15

OC-0521 A deep learning approach to generate synthetic CT i..:

Cusumano, D. ; Lenkowicz, J. ; Votta, C....
Radiotherapy and Oncology.  161 (2021)  - p. S406-S407 , 2021
 
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