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F. Lofman
F. Lofman
Artificial intelligence
Medicine
Glioma
Deep learning
Radiology
5
Papers
10
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0
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PO-1462: Automated robust planning for IMPT in oropharyngeal cancer patients using machine learning
2020
Radiotherapy and Oncology
M. Huiskes
Roel G.J. Kierkels
I.G. van Bruggen
M. Holmström
H. Gruselius
Albin Fredriksson
K. Berggren
Stefan Both
Johannes A. Langendijk
F. Lofman
Erik W. Korevaar
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PO-1459: Fully automated machine learning optimization VMAT planning for oropharyngeal cancer
2020
Radiotherapy and Oncology
I.G. van Bruggen
Roel G.J. Kierkels
M. Holmström
H. Gruselius
D. Lidberg
K. Berggren
Stefan Both
Johannes A. Langendijk
F. Lofman
Erik W. Korevaar
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Automatic Segmentation Using Deep Learning for Online Dose Optimization During Adaptive Radiotherapy of Cervical Cancer
2020
International Journal of Radiation Oncology Biology Physics
B. Rigaud
Brian M. Anderson
G. Cazoulat
Z. Yu
J. Söderberg
E Samuelsson
C Ward
S. Svensson
Nicolette Taku
F. Lofman
Aradhana M. Venkatesan
Ann H Klopp
Kristy K. Brock
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Interactive Deep Learning-Based Delineation of Gross Tumor Volume for Postoperative Glioma Patients
2019
Marcus Nordström
J. Söderberg
Nadya Shusharina
David Edmunds
F. Lofman
Henrik Hult
Atsuto Maki
Thomas Bortfeld
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Automated Clinical Target Volume Delineation for Glioma Patients: A Deep Learning Approach
2019
International Journal of Radiation Oncology Biology Physics
David Edmunds
Nadya Shusharina
J. Söderberg
F. Lofman
Helen A. Shih
Thomas Bortfeld
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