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PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes.

A. Balagopal, H. Morgan, M. Dohopolski, R. Timmerman, J. Shan, D. Heitjan, W. Liu, D. Nguyen, R. Hannan, A. Garant, N. Desai, and S. Jiang. Artif. Intell. Medicine, (2021)

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A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.A. Balagopal, D. Nguyen, H. Morgan, Y. Weng, M. Dohopolski, M. Lin, A. Sadeghnejad-Barkousaraie, Y. Gonzalez, A. Garant, N. Desai and 2 other author(s). Medical Image Anal., (2021)Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation.A. Balagopal, D. Nguyen, T. Bai, M. Dohopolski, M. Lin, and S. Jiang. CoRR, (2022)Reliable lymph node metastasis prediction in head & neck cancer through automated multi-objective model.Z. Zhou, M. Dohopolski, L. Chen, X. Chen, S. Jiang, D. Sher, and J. Wang. BHI, page 1-4. IEEE, (2019)Region Specific Optimization (RSO)-based Deep Interactive Registration.T. Bai, M. Lin, X. Liang, B. Wang, M. Dohopolski, B. Cai, D. Nguyen, and S. Jiang. CoRR, (2022)Recurrence-Free Survival Prediction Under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers.K. Wang, Y. Li, M. Dohopolski, T. Peng, W. Lu, Y. Zhang, and J. Wang. HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 144-153. Springer, (2022)Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer.A. Balagopal, M. Dohopolski, Y. Kwon, S. Montalvo, H. Morgan, T. Bai, D. Nguyen, X. Liang, X. Zhong, M. Lin and 2 other author(s). CoRR, (2023)PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume.A. Balagopal, H. Morgan, M. Dohopolski, R. Timmerman, J. Shan, D. Heitjan, W. Liu, D. Nguyen, R. Hannan, A. Garant and 2 other author(s). CoRR, (2021)PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes.A. Balagopal, H. Morgan, M. Dohopolski, R. Timmerman, J. Shan, D. Heitjan, W. Liu, D. Nguyen, R. Hannan, A. Garant and 2 other author(s). Artif. Intell. Medicine, (2021)Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy.B. Wang, M. Dohopolski, T. Bai, J. Wu, R. Hannan, N. Desai, A. Garant, D. Nguyen, X. Wang, M. Lin and 2 other author(s). CoRR, (2022)Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective.M. Dohopolski, K. Wang, B. Wang, T. Bai, D. Nguyen, D. Sher, S. Jiang, and J. Wang. CoRR, (2022)

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Disambiguation of "Dohopolski, Michael"

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PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes.

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Michael Bode

Michael Liecke

Michael Schoierer

Michael Krug

Michael Bernateck

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Disambiguation

BibSonomy

Disambiguation of "Dohopolski, Michael"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes.

Please choose a person to relate this publication to

Michael Bode

Michael Liecke

Michael Schoierer

Michael Krug

Michael Bernateck

Other publications of authors with the same name

Disambiguation

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PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes.