Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Michael Lempart

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Journal of Applied Clinical Medical Physics|May 13, 2023
Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapyMichael 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 scanningMichael Lempart, Malin Kügele, Jonatan Snäll, et al.
The British Journal of Radiology|December 12, 2019
The FLASH effect depends on oxygen concentrationGabriel 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 irradiationMichael 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 RatesElise 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 radiotherapyChristian 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 modelMichael 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 networkMichael Lempart, Martin P Nilsson, Jonas Scherman, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 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 therapyMichael 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 scanningMichael Lempart, Malin Kügele, Jonatan Snäll, et al.
The British Journal of Radiology|December 12, 2019
The FLASH effect depends on oxygen concentrationGabriel 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 irradiationMichael 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 RatesElise 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 radiotherapyChristian 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 modelMichael 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 networkMichael Lempart, Martin P Nilsson, Jonas Scherman, et al.
Pageof 1