Neil Desai

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Unsupervised Learning

Deformable Registration

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)
Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Dan Nguyen, Xinlei Wang, Mu-Han Lin, Robert Timmerman, Steve Jiang
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy. CoRR (2022)
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)
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)
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)