Search Results - O'Briain, Teaghan

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  1. 1
    Publicly available framework for simulating and experimentally validating clinical PET systems

    Publicly available framework for simulating and experimentally validating clinical PET systems by O'Briain, Teaghan B., Uribe, Carlos, Sechopoulos, Ioannis, Michel, Christian, Bazalova‐Carter, Magdalena

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  2. 2
    Technical Note: Synthesizing of lung tumors in computed tomography images

    Technical Note: Synthesizing of lung tumors in computed tomography images by O'Briain, Teaghan B., Yi, Kwang Moo, Bazalova‐Carter, Magdalena

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  3. 3
    Assessing the performance of LTE and NLTE synthetic stellar spectra in a machine learning framework

    Assessing the performance of LTE and NLTE synthetic stellar spectra in a machine learning framework by Bialek, Spencer, Fabbro, Sébastien, Venn, Kim A, Kumar, Nripesh, O’Briain, Teaghan, Yi, Kwang Moo

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  4. 4
    Stellar Parameters and Chemical Abundances Estimated from LAMOST-II DR8 MRS Based on Cycle-StarNet

    Stellar Parameters and Chemical Abundances Estimated from LAMOST-II DR8 MRS Based on Cycle-StarNet by Wang, Rui, Luo, A-Li, Zhang, Shuo, Ting, Yuan-Sen, O’Briain, Teaghan

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  5. 5
    Cycle-StarNet: Bridging the Gap between Theory and Data by Leveraging Large Data Sets

    Cycle-StarNet: Bridging the Gap between Theory and Data by Leveraging Large Data Sets by O'Briain, Teaghan, Ting, Yuan-Sen, Fabbro, Sébastien, Yi, Kwang M., Venn, Kim, Bialek, Spencer

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  6. 6
    Stellar Parameters and Chemical Abundances Estimated from LAMOST-II DR8 MRS based on Cycle-StarNet

    Stellar Parameters and Chemical Abundances Estimated from LAMOST-II DR8 MRS based on Cycle-StarNet by Wang, Rui, A-Li, Luo, Zhang, Shuo, Yuan-Sen, Ting, O'Briain, Teaghan, Collaboration, LAMOST MRS

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  7. 7
    Assessing the performance of LTE and NLTE synthetic stellar spectra in a machine learning framework

    Assessing the performance of LTE and NLTE synthetic stellar spectra in a machine learning framework by Bialek, Spencer, Fabbro, Sébastien, Venn, Kim A, Kumar, Nripesh, O'Briain, Teaghan, Yi, Kwang Moo

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  8. 8
    Cycle-StarNet: Bridging the gap between theory and data by leveraging large datasets

    Cycle-StarNet: Bridging the gap between theory and data by leveraging large datasets by O'Briain, Teaghan, Yuan-Sen, Ting, Fabbro, Sébastien, Yi, Kwang M, Venn, Kim, Bialek, Spencer

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  9. 9
    FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging

    FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging by O'Briain, Teaghan, Uribe, Carlos, Yi, Kwang Moo, Teuwen, Jonas, Sechopoulos, Ioannis, Bazalova-Carter, Magdalena

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  10. 10
    An Application of Deep Neural Networks in the Analysis of Stellar Spectra

    An Application of Deep Neural Networks in the Analysis of Stellar Spectra by Fabbro, Sebastien, Venn, Kim, O'Briain, Teaghan, Bialek, Spencer, Kielty, Collin, Jahandar, Farbod, Monty, Stephanie

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  11. 11
    Interpreting Stellar Spectra with Unsupervised Domain Adaptation

    Interpreting Stellar Spectra with Unsupervised Domain Adaptation by O'Briain, Teaghan, Yuan-Sen, Ting, Fabbro, Sébastien, Yi, Kwang M, Venn, Kim, Bialek, Spencer

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  12. 12
    Reducing the Human Effort in Developing PET-CT Registration

    Reducing the Human Effort in Developing PET-CT Registration by O'Briain, Teaghan, Jin, Kyong Hwan, Choi, Hongyoon, Chin, Erika, Bazalova-Carter, Magdalena, Yi, Kwang Moo

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