Training and Validation of Deep Learning-Based Auto-Segmentation Models for Lung Stereotactic Ablative Radiotherapy Using Retrospective Radiotherapy Planning Contours
Wong, Jordan, Huang, Vicky, Giambattista, Joshua A, Teke, Tony, Kolbeck, Carter, Giambattista, Jonathan, Atrchian, Siavash
Published in Frontiers in oncology (07.06.2021)
Published in Frontiers in oncology (07.06.2021)
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Journal Article
Implementation of deep learning-based auto-segmentation for radiotherapy planning structures: a workflow study at two cancer centers
Wong, Jordan, Huang, Vicky, Wells, Derek, Giambattista, Joshua, Giambattista, Jonathan, Kolbeck, Carter, Otto, Karl, Saibishkumar, Elantholi P, Alexander, Abraham
Published in Radiation oncology (London, England) (08.06.2021)
Published in Radiation oncology (London, England) (08.06.2021)
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Practical Considerations in Breast Papillary Lesions: A Review of the Literature
Agoumi, Mehdi, Giambattista, Joshua, Hayes, Malcolm M
Published in Archives of pathology & laboratory medicine (1976) (01.08.2016)
Published in Archives of pathology & laboratory medicine (1976) (01.08.2016)
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123 Validation of Deep Learning-Based Auto-Segmentation for Organs at Risk and Gross Tumour Volumes in Lung Stereotactic Body Radiotherapy
Wong, Jordan, Huang, Vicky, Teke, Tony, Giambattista, Joshua, Atrchian, Siavash
Published in Radiotherapy and oncology (01.10.2019)
Published in Radiotherapy and oncology (01.10.2019)
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18: A Randomized Blinded Assessment of a Machine Learning Based Autocontouring Tool for Breast Cancer Radiotherapy Compared to Peer-Reviewed Radiation Oncologist Contours
Kucharczyk, Michael, Chytyk-Praznik, Krista, Giambattista, Joshua, Kolbeck, Carter, Chng, Nick, Bala, Gopal, Robar, James, Beam, Andrew
Published in Radiotherapy and oncology (01.09.2022)
Published in Radiotherapy and oncology (01.09.2022)
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Journal Article
25: Implementation of Deep Learning-Based Auto-Segmentation for Radiotherapy Planning Structures: A Multi-Center Workflow Study
Wong, Jordan, Huang, Vicky, Wells, Derek, Giambattista, Joshua, Giambattista, Jonathan, Kolbeck, Carter, Otto, Karl, Alexander, Abraham
Published in Radiotherapy and oncology (01.09.2020)
Published in Radiotherapy and oncology (01.09.2020)
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Journal Article
72: Deep Learning-Based Auto-Segmentation for Pelvic Organs-At-Risk and Clinical Target Volumes in Intracavitary High Dose Rate Brachytherapy
Wong, Jordan, Kolbeck, Carter, Giambattista, Jonathan, Giambattista, Joshua, Huang, Vicky, Jaswal, Jasbir
Published in Radiotherapy and oncology (01.09.2020)
Published in Radiotherapy and oncology (01.09.2020)
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Journal Article
124 Comparing Deep Learning-Based Auto-Segmentation of Organs at Risk and Clinical Target Volumes to Expert Inter-Observer Variability in Radiotherapy Planning
Wong, Jordan, Fong, Allan, McVicar, Nevin, Smith, Sally, Wells, Derek, Giambattista, Joshua, Gondara, Lovedeep, Kolbeck, Carter, Giambattista, Jonathan, Alexander, Abraham
Published in Radiotherapy and oncology (01.10.2019)
Published in Radiotherapy and oncology (01.10.2019)
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Magnetic Resonance Imaging Volumetry of Primary Nasopharyngeal Cancer in Patients Treated with Induction Gemcitabine and Cisplatin Followed by Concurrent Cisplatin and Volumetric Modulated Arc Therapy
Giambattista, Joshua, McVicar, Nevin, Hamilton, Sarah, Martin, Montgomery, Maas, Benjamin, Ho, Cheryl, Wu, Jonn, Tran, Eric, Hay, John, Berthelet, Eric
Published in Curēus (Palo Alto, CA) (13.09.2018)
Published in Curēus (Palo Alto, CA) (13.09.2018)
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