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Manohar Karki

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Neural Networks : the Official Journal of the International Neural Network Society|November 11, 2017
Deep neural networks for texture classification-A theoretical analysisSaikat Basu, Supratik Mukhopadhyay, Manohar Karki, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training StrategiesManohar Karki, Karthik Kantipudi, Hang Yu, et al.
Diagnostics (Basel, Switzerland)|January 21, 2022
Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-raysManohar Karki, Karthik Kantipudi, Feng Yang, et al.
Quantitative Imaging in Medicine and Surgery|January 7, 2022
Differentiating between drug-sensitive and drug-resistant tuberculosis with machine learning for clinical and radiological featuresFeng Yang, Hang Yu, Karthik Kantipudi, et al.
Artificial Intelligence in Medicine|June 29, 2020
CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settingsManohar Karki, Junghwan Cho, Eunmi Lee, et al.
Journal of Digital Imaging|January 26, 2019
Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning ModelsJunghwan Cho, Ki-Su Park, Manohar Karki, et al.
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Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|November 11, 2017
Deep neural networks for texture classification-A theoretical analysisSaikat Basu, Supratik Mukhopadhyay, Manohar Karki, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training StrategiesManohar Karki, Karthik Kantipudi, Hang Yu, et al.
Diagnostics (Basel, Switzerland)|January 21, 2022
Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-raysManohar Karki, Karthik Kantipudi, Feng Yang, et al.
Quantitative Imaging in Medicine and Surgery|January 7, 2022
Differentiating between drug-sensitive and drug-resistant tuberculosis with machine learning for clinical and radiological featuresFeng Yang, Hang Yu, Karthik Kantipudi, et al.
Artificial Intelligence in Medicine|June 29, 2020
CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settingsManohar Karki, Junghwan Cho, Eunmi Lee, et al.
Journal of Digital Imaging|January 26, 2019
Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning ModelsJunghwan Cho, Ki-Su Park, Manohar Karki, et al.
Pageof 1