Anjali Balagopal

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Prostate Cancer

Organ Segmentation

Top Venues

Artif. Intell. Medicine

Medical Image Anal.

Publications

Anjali Balagopal, Michael Dohopolski, Young Suk Kwon, Steven Montalvo, Howard E. Morgan, Ti Bai, Dan Nguyen, Xiao Liang, Xinran Zhong, Mu-Han Lin, Neil Desai, Steve B. Jiang
Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer. CoRR (2023)
Anjali Balagopal, Dan Nguyen, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve Jiang
Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation. CoRR (2022)
Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, Xinran Zhong, Azar Sadeghnejad-Barkousaraie, Rafe McBeth, Mu-Han Lin, Steve B. Jiang, Dan Nguyen
Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks. CoRR (2021)
Anjali Balagopal, Howard E. Morgan, Michael Dohopolski, Ramsey Timmerman, Jie Shan, Daniel F. Heitjan, Wei Liu, Dan Nguyen, Raquibul Hannan, Aurelie Garant, Neil Desai, Steve B. Jiang
PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume. CoRR (2021)
Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve B. Jiang
A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision. CoRR (2021)
Anjali Balagopal, Howard E. Morgan, Michael Dohopolski, Ramsey Timmerman, Jie Shan, Daniel F. Heitjan, Wei Liu, Dan Nguyen, Raquibul Hannan, Aurelie Garant, Neil Desai, Steve B. Jiang
PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes. Artif. Intell. Medicine 121 (2021)
Anjali Balagopal, Dan Nguyen, Howard E. Morgan, Yaochung Weng, Michael Dohopolski, Mu-Han Lin, Azar Sadeghnejad-Barkousaraie, Yesenia Gonzalez, Aurelie Garant, Neil Desai, Raquibul Hannan, Steve B. Jiang
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy. Medical Image Anal. 72 (2021)
Anjali Balagopal, Dan Nguyen, Maryam Mashayekhi, Howard E. Morgan, Aurelie Garant, Neil Desai, Raquibul Hannan, Mu-Han Lin, Steve B. Jiang
Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study. CoRR (2021)
Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Anjali Balagopal, Rafe McBeth, Mu-Han Lin, Steve B. Jiang
Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks. CoRR (2020)
Anjali Balagopal, Dan Nguyen, Howard E. Morgan, Yaochung Weng, Michael Dohopolski, Mu-Han Lin, Azar Sadeghnejad-Barkousaraie, Yesenia Gonzalez, Aurelie Garant, Neil Desai, Raquibul Hannan, Steve B. Jiang
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy. CoRR (2020)
Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang, Zhangyang Wang, Jim Xiuquan Ji, Xiaoning Qian, Steve B. Jiang
Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation. MICCAI (6) (2019)
Anjali Balagopal, Samaneh Kazemifar, Dan Nguyen, Mu-Han Lin, Raquibul Hannan, Amir Owrangi, Steve B. Jiang
Fully Automated Organ Segmentation in Male Pelvic CT Images. CoRR (2018)