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Pakela, Julia
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1

Imaging response assessment for predicting outcomes after b..:

Gharzai, Laila A. ; Pakela, Julia ; Jaworski, Elizabeth M....
Clinical and Translational Radiation Oncology.  33 (2022)  - p. 30-36 , 2022
Link: https://doi.org/10.1016/..
 
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2

Overview of Deep Machine Learning Methods:

, In: Machine and Deep Learning in Oncology, Medical Physics and Radiology,
Pakela, Julia ; El Naqa, Issam - p. 51-77 , 2022
Link: https://doi.org/10.1007/..
 
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3

Quantum Computing for Machine Learning:

, In: Machine and Deep Learning in Oncology, Medical Physics and Radiology,
Niraula, Dipesh ; Jamaluddin, Jamalina ; Pakela, Julia. - p. 79-102 , 2022
Link: https://doi.org/10.1007/..
 
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4

Current status and future developments in predicting outcom..:

Niraula, Dipesh ; Cui, Sunan ; Pakela, Julia...
The British Journal of Radiology.  95 (2022)  1139 - p. , 2022
Link: https://doi.org/10.1259/..
 
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5

Introduction to machine and deep learning for medical physi..:

Cui, Sunan ; Tseng, Huan‐Hsin ; Pakela, Julia..
Medical Physics.  47 (2020)  5 - p. , 2020
Link: https://doi.org/10.1002/..
 
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6

Management of Motion and Anatomical Variations in Charged P..:

Pakela, Julia M. ; Knopf, Antje ; Dong, Lei..
Frontiers in Oncology.  12 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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7

Needle-compatible miniaturized optoelectronic sensor for pa..:

Lee, Seung Yup ; Pakela, Julia M. ; Na, Kyounghwan...
Science Advances.  6 (2020)  47 - p. , 2020
Link: https://doi.org/10.1126/..
 
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8

Quantum‐inspired algorithm for radiotherapy planning optimi..:

Pakela, Julia M. ; Tseng, Huan‐Hsin ; Matuszak, Martha M....
Medical Physics.  47 (2019)  1 - p. 5-18 , 2019
Link: https://doi.org/10.1002/..
 
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9

An efficient dosimetry method with a Faraday cup for small ..:

Husain, Abbas ; Ryser, Jeremiah ; Pakela, Julia...
http://arxiv.org/abs/2209.07354.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

Imaging response assessment for predicting outcomes after b..:

Gharzai, Laila A ; Pakela, Julia ; Jaworski, Elizabeth M...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728046/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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11

Introduction to machine and deep learning for medical physi..:

Cui, Sunan ; Tseng, Huan-Hsin ; Pakela, Julia..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331753/.  , 2020
Link: http://www.ncbi.nlm.nih...
 
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12

Management of motion and anatomical variations in charged p..:

Pakela, Julia M ; Dong, Lei ; Rucinski, Antoni..
Frontiers in Oncology.  , 2022
Link: https://irf.fhnw.ch/hand..
 
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13

Management of Motion and Anatomical Variations in Charged P..:

Pakela, Julia M ; Knopf, Antje ; Dong, Lei..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959592/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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14

Management of Motion and Anatomical Variations in Charged P..:

Pakela, Julia M ; Knopf, Antje ; Dong, Lei..
https://research.rug.nl/en/publications/c6e56964-55b3-48a3-87c2-c9d76a4ce6ed.  , 2022
Link: https://hdl.handle.net/1..
 
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15

Dynamic Stochastic Deep Learning Approaches for Predicting ..:

Pakela, Julia M ; Matuszak, Martha M ; Ten Haken, Randall K..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637428/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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