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Raquibul Hannan
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2020 – today
- 2022
- [i5]Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Dan Nguyen, Xinlei Wang, Mu-Han Lin, Robert Timmerman, Steve B. Jiang:
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy. CoRR abs/2210.05673 (2022) - 2021
- [j2]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: 102195 (2021) - [j1]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: 102101 (2021) - [i4]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 abs/2102.01006 (2021) - [i3]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 abs/2102.07880 (2021) - 2020
- [i2]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 abs/2004.13294 (2020)
2010 – 2019
- 2018
- [i1]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 abs/1805.12526 (2018)
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