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

Anjali Balagopal

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
Medical Physics|November 25, 2017
Characterization of <sup>90</sup> Y-SPECT/CT self-calibration approaches on the quantification of voxel-level absorbed doses following <sup>90</sup> Y-microsphere selective internal radiation therapyAnjali Balagopal, S Cheenu Kappadath
Machine Learning: Science and Technology|April 18, 2025
Prior guided deep difference meta-learner for fast adaptation to stylized segmentationDan Nguyen, Anjali Balagopal, Ti Bai, et al.
International Journal of Radiation Oncology, Biology, Physics|September 8, 2018
Hepatocellular Carcinoma Tumor Dose Response After <sup>90</sup>Y-radioembolization With Glass Microspheres Using <sup>90</sup>Y-SPECT/CT-Based Voxel DosimetryS Cheenu Kappadath, Justin Mikell, Anjali Balagopal, et al.
Physics in Medicine and Biology|December 8, 2018
Fully automated organ segmentation in male pelvic CT imagesAnjali Balagopal, Samaneh Kazemifar, Dan Nguyen, et al.
Physics in Medicine and Biology|January 27, 2021
A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networksDan Nguyen, Azar Sadeghnejad Barkousaraie, Gyanendra Bohara, et al.
Medical Physics|January 17, 2022
Site-agnostic 3D dose distribution prediction with deep learning neural networksMaryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, et al.
Radiology. Artificial Intelligence|October 7, 2022
A Proof-of-Concept Study of Artificial Intelligence-assisted Contour EditingTi Bai, Anjali Balagopal, Michael Dohopolski, et al.
Artificial Intelligence in Medicine|November 12, 2021
PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumesAnjali Balagopal, Howard Morgan, Michael Dohopolski, et al.
Medical Image Analysis|June 10, 2021
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapyAnjali Balagopal, Dan Nguyen, Howard Morgan, et al.
Physics and Imaging in Radiation Oncology|May 6, 2024
Deep learning based automatic segmentation of the Internal Pudendal Artery in definitive radiotherapy treatment planning of localized prostate cancerAnjali Balagopal, Michael Dohopolski, Young Suk Kwon, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Medical Physics|November 25, 2017
Characterization of <sup>90</sup> Y-SPECT/CT self-calibration approaches on the quantification of voxel-level absorbed doses following <sup>90</sup> Y-microsphere selective internal radiation therapyAnjali Balagopal, S Cheenu Kappadath
Machine Learning: Science and Technology|April 18, 2025
Prior guided deep difference meta-learner for fast adaptation to stylized segmentationDan Nguyen, Anjali Balagopal, Ti Bai, et al.
International Journal of Radiation Oncology, Biology, Physics|September 8, 2018
Hepatocellular Carcinoma Tumor Dose Response After <sup>90</sup>Y-radioembolization With Glass Microspheres Using <sup>90</sup>Y-SPECT/CT-Based Voxel DosimetryS Cheenu Kappadath, Justin Mikell, Anjali Balagopal, et al.
Physics in Medicine and Biology|December 8, 2018
Fully automated organ segmentation in male pelvic CT imagesAnjali Balagopal, Samaneh Kazemifar, Dan Nguyen, et al.
Physics in Medicine and Biology|January 27, 2021
A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networksDan Nguyen, Azar Sadeghnejad Barkousaraie, Gyanendra Bohara, et al.
Medical Physics|January 17, 2022
Site-agnostic 3D dose distribution prediction with deep learning neural networksMaryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, et al.
Radiology. Artificial Intelligence|October 7, 2022
A Proof-of-Concept Study of Artificial Intelligence-assisted Contour EditingTi Bai, Anjali Balagopal, Michael Dohopolski, et al.
Artificial Intelligence in Medicine|November 12, 2021
PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumesAnjali Balagopal, Howard Morgan, Michael Dohopolski, et al.
Medical Image Analysis|June 10, 2021
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapyAnjali Balagopal, Dan Nguyen, Howard Morgan, et al.
Physics and Imaging in Radiation Oncology|May 6, 2024
Deep learning based automatic segmentation of the Internal Pudendal Artery in definitive radiotherapy treatment planning of localized prostate cancerAnjali Balagopal, Michael Dohopolski, Young Suk Kwon, et al.
Pageof 2