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Journal of Applied Clinical Medical Physics
|
May 13, 2023
Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapy
Michael Lempart, Jonas Scherman, Martin P Nilsson, et al.
Australasian Physical & Engineering Sciences in Medicine
|
May 20, 2017
Development of a novel radiotherapy motion phantom using a stepper motor driver circuit and evaluation using optical surface scanning
Michael Lempart, Malin Kügele, Jonatan Snäll, et al.
The British Journal of Radiology
|
December 12, 2019
The FLASH effect depends on oxygen concentration
Gabriel Adrian, Elise Konradsson, Michael Lempart, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
February 14, 2019
Modifying a clinical linear accelerator for delivery of ultra-high dose rate irradiation
Michael Lempart, Börje Blad, Gabriel Adrian, et al.
Radiation Research
|
December 21, 2020
Correction for Ion Recombination in a Built-in Monitor Chamber of a Clinical Linear Accelerator at Ultra-High Dose Rates
Elise Konradsson, Crister Ceberg, Michael Lempart, et al.
Journal of Applied Clinical Medical Physics
|
October 8, 2021
Deep learning-based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy
Christian Jamtheim Gustafsson, Michael Lempart, Johan Swärd, et al.
Physics and Imaging in Radiation Oncology
|
August 17, 2021
Volumetric modulated arc therapy dose prediction and deliverable treatment plan generation for prostate cancer patients using a densely connected deep learning model
Michael Lempart, Hunor Benedek, Christian Jamtheim Gustafsson, et al.
Radiation Oncology (London, England)
|
June 28, 2022
Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network
Michael Lempart, Martin P Nilsson, Jonas Scherman, et al.
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Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Journal of Applied Clinical Medical Physics
|
May 13, 2023
Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapy
Michael Lempart, Jonas Scherman, Martin P Nilsson, et al.
Australasian Physical & Engineering Sciences in Medicine
|
May 20, 2017
Development of a novel radiotherapy motion phantom using a stepper motor driver circuit and evaluation using optical surface scanning
Michael Lempart, Malin Kügele, Jonatan Snäll, et al.
The British Journal of Radiology
|
December 12, 2019
The FLASH effect depends on oxygen concentration
Gabriel Adrian, Elise Konradsson, Michael Lempart, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
February 14, 2019
Modifying a clinical linear accelerator for delivery of ultra-high dose rate irradiation
Michael Lempart, Börje Blad, Gabriel Adrian, et al.
Radiation Research
|
December 21, 2020
Correction for Ion Recombination in a Built-in Monitor Chamber of a Clinical Linear Accelerator at Ultra-High Dose Rates
Elise Konradsson, Crister Ceberg, Michael Lempart, et al.
Journal of Applied Clinical Medical Physics
|
October 8, 2021
Deep learning-based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy
Christian Jamtheim Gustafsson, Michael Lempart, Johan Swärd, et al.
Physics and Imaging in Radiation Oncology
|
August 17, 2021
Volumetric modulated arc therapy dose prediction and deliverable treatment plan generation for prostate cancer patients using a densely connected deep learning model
Michael Lempart, Hunor Benedek, Christian Jamtheim Gustafsson, et al.
Radiation Oncology (London, England)
|
June 28, 2022
Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network
Michael Lempart, Martin P Nilsson, Jonas Scherman, et al.
Page
of 1