Dr. Robert S. Mannel Profile

Dr. Robert S. Mannel

at Univ. of Oklahoma Health Sciences Ctr

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Author

Publications (8)

Proceedings Article | 14 March 2023 Paper

Comparing the effectiveness of 2D and 3D features on predicting the response to chemotherapy for ovarian cancer patients

Neman Abdoli, Patrik Gilley, Ke Zhang, Xuxin Chen, Theresa Thai, Kathleen Moore, Robert Mannel, Yuchen Qiu

Proceedings Volume 12380, 123800D (2023) https://doi.org/10.1117/12.2655153

KEYWORDS: Radiomics, Ovarian cancer, Computed tomography

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Proceedings Article | 2 March 2022 Poster + Paper

Virtual adversarial training for semi-supervised breast mass classification

Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa Thai, Kathleen Moore, Robert Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 11961, 1196106 (2022) https://doi.org/10.1117/12.2611851

KEYWORDS: Medical imaging, Mammography, Cancer

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Proceedings Article | 5 March 2021 Presentation + Paper

Development of a transferring GAN based CAD scheme for breast mass classification: an initial study

Xuxin Chen, Theresa Thai, Camille Gunderson, Katheleen Moore, Robert Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 11643, 116430H (2021) https://doi.org/10.1117/12.2583246

KEYWORDS: Breast, Mammography, Neural networks, Tumor growth modeling, Data modeling, Receivers, Optimization (mathematics), Image analysis

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Proceedings Article | 3 March 2020 Paper

Developing a low cost image marker to identify lymph node metastasis for cervical cancer patients: an initial study

Wei Liu, Shiyu Pei, Xuxin Chen, Theresa Thai, Tara Castellano, Camille Gunderson, Kathleen Moore, Robert Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 11241, 112410Y (2020) https://doi.org/10.1117/12.2548669

KEYWORDS: Cervical cancer, Computed tomography, Image segmentation

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Proceedings Article | 7 March 2019 Paper

Utilizing deep learning technology to develop a novel CT image marker for categorizing cervical cancer patients at early stage

Wei Liu, Abolfazl Zargaria, Theresa Thai, Tara Castellano, Camille Gunderson, Kathleen Moore, Robert Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 10879, 108790I (2019) https://doi.org/10.1117/12.2510037

KEYWORDS: Cervical cancer, Computed tomography, Pattern recognition

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Proceedings Article | 19 February 2018 Paper

Assessing the performance of quantitative image features on early stage prediction of treatment effectiveness for ovary cancer patients: a preliminary investigation

Abolfazl Zargari, Yue Du, Theresa Thai, Camille Gunderson, Kathleen Moore, Robert Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 10495, 104950K (2018) https://doi.org/10.1117/12.2290227

KEYWORDS: Tumors, Ovarian cancer, Computed tomography, Image analysis

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Proceedings Article | 3 March 2017 Paper

Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study

Gopichandh Danala, Yunzhi Wang, Theresa Thai, Camille Gunderson, Katherine Moxley, Kathleen Moore, Robert Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 10134, 1013449 (2017) https://doi.org/10.1117/12.2254089

KEYWORDS: Ovarian cancer, Computer aided diagnosis and therapy, Computed tomography, Tumors, Wavelets, Cancer, Image fusion, Medical imaging

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Proceedings Article | 20 February 2017 Paper

Improving efficacy of metastatic tumor segmentation to facilitate early prediction of ovarian cancer patients' response to chemotherapy

Gopichandh Danala, Yunzhi Wang, Theresa Thai, Camille Gunderson, Katherine Moxley, Kathleen Moore, Robert Mannel, Samuel Cheng, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 10065, 100650J (2017) https://doi.org/10.1117/12.2250978

KEYWORDS: Image segmentation, Ovarian cancer, Image analysis, Image processing algorithms and systems, Computer-aided diagnosis, Tumors, Detection and tracking algorithms, Algorithm development, Sensors, Computed tomography

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Showing 5 of 8 publications

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