Canlyniadau Chwilio - Chen, Po‐Hsuan

Reply: ‘The importance of study design in the application of artificial intelligence methods in medicine’ gan Nagpal, Kunal, Liu, Yun, Chen, Po-Hsuan Cameron, Stumpe, Martin C., Mermel, Craig H.

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Miniaturized Biomedical Sensors for Enumeration of Extracellular Vesicles gan Pulikkathodi, Anil Kumar, Sarangadharan, Indu, Lo, Chiao-Yun, Chen, Po-Hsuan, Chen, Chih-Chen, Wang, Yu-Lin

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Saliva-based COVID-19 detection: A rapid antigen test of SARS-CoV-2 nucleocapsid protein using an electrical-double-layer gated field-effect transistor-based biosensing system gan Chen, Pin-Hsuan, Huang, Chih-Cheng, Wu, Chia-Che, Chen, Po-Hsuan, Tripathi, Adarsh, Wang, Yu-Lin

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Molecular Analyses of the Arabidopsis TUBBY-Like Protein Gene Family gan Lai, Chia-Ping, Lee, Chang-Lung, Chen, Po-Hsuan, Wu, Shu-Hsing, Yang, Chien-Chih, Shaw, Jei-Fu

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Artificial intelligence in digital breast pathology: Techniques and applications gan Ibrahim, Asmaa, Gamble, Paul, Jaroensri, Ronnachai, Abdelsamea, Mohammed M., Mermel, Craig H., Chen, Po-Hsuan Cameron, Rakha, Emad A.

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Investigation of Electrical Stability and Sensitivity of Electric Double Layer Gated Field-Effect Transistors (FETs) for miRNA Detection gan Kuo, Wen-Che, Sarangadharan, Indu, Pulikkathodi, Anil Kumar, Chen, Po-Hsuan, Wang, Shin-Li, Wu, Chang-Run, Wang, Yu-Lin

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Rapid β-human chorionic gonadotropin detection in urine with electric-double-layer gated field-effect transistor biosensors and a handheld device gan Liao, Liang-Wen, Chen, Po-Hsuan, Tsai, Shu-Yi, Tripathi, Adarsh, Paulose, Akhil K., Chang, Shing-Jyh, Wang, Yu-Lin

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A Rapid Detection of COVID‐19 Viral RNA in Human Saliva Using Electrical Double Layer‐Gated Field‐Effect Transistor‐Based Biosensors gan Paulose, Akhil K., Huang, Chih‐Cheng, Chen, Po‐Hsuan, Tripathi, Adarsh, Chen, Pin‐Hsuan, Huang, Yu‐Shan, Wang, Yu‐Lin

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Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection gan Kohlberger, Timo, Liu, Yun, Moran, Melissa, Chen, Po-Hsuan Cameron, Brown, Trissia, Hipp, Jason D., Mermel, Craig H., Stumpe, Martin C.

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Mapping Between fMRI Responses to Movies and their Natural Language Annotations gan Vodrahalli, Kiran, Chen, Po-Hsuan, Liang, Yingyu, Baldassano, Christopher, Chen, Janice, Yong, Esther, Honey, Christopher, Hasson, Uri, Ramadge, Peter, Norman, Kenneth A., Arora, Sanjeev

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Deep learning-based survival prediction for multiple cancer types using histopathology images gan Wulczyn, Ellery, Steiner, David F., Xu, Zhaoyang, Sadhwani, Apaar, Wang, Hongwu, Flament-Auvigne, Isabelle, Mermel, Craig H., Chen, Po-Hsuan Cameron, Liu, Yun, Stumpe, Martin C.

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Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images gan Sadhwani, Apaar, Chang, Huang-Wei, Behrooz, Ali, Brown, Trissia, Auvigne-Flament, Isabelle, Patel, Hardik, Findlater, Robert, Velez, Vanessa, Tan, Fraser, Tekiela, Kamilla, Wulczyn, Ellery, Yi, Eunhee S., Mermel, Craig H., Hanks, Debra, Chen, Po-Hsuan Cameron, Kulig, Kimary, Batenchuk, Cory, Steiner, David F., Cimermancic, Peter

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Determining breast cancer biomarker status and associated morphological features using deep learning gan Gamble, Paul, Jaroensri, Ronnachai, Wang, Hongwu, Tan, Fraser, Moran, Melissa, Brown, Trissia, Flament-Auvigne, Isabelle, Rakha, Emad A., Toss, Michael, Dabbs, David J., Regitnig, Peter, Olson, Niels, Wren, James H., Robinson, Carrie, Corrado, Greg S., Peng, Lily H., Liu, Yun, Mermel, Craig H., Steiner, David F., Chen, Po-Hsuan Cameron

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Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer gan Nagpal, Kunal, Foote, Davis, Liu, Yun, Chen, Po-Hsuan Cameron, Wulczyn, Ellery, Tan, Fraser, Olson, Niels, Smith, Jenny L., Mohtashamian, Arash, Wren, James H., Corrado, Greg S., MacDonald, Robert, Peng, Lily H., Amin, Mahul B., Evans, Andrew J., Sangoi, Ankur R., Mermel, Craig H., Hipp, Jason D., Stumpe, Martin C.

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Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer gan Nagpal, Kunal, Foote, Davis, Liu, Yun, Chen, Po-Hsuan Cameron, Wulczyn, Ellery, Tan, Fraser, Olson, Niels, Smith, Jenny L., Mohtashamian, Arash, Wren, James H., Corrado, Greg S., MacDonald, Robert, Peng, Lily H., Amin, Mahul B., Evans, Andrew J., Sangoi, Ankur R., Mermel, Craig H., Hipp, Jason D., Stumpe, Martin C.

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Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19 gan Nabulsi, Zaid, Sellergren, Andrew, Jamshy, Shahar, Lau, Charles, Santos, Edward, Kiraly, Atilla P., Ye, Wenxing, Yang, Jie, Pilgrim, Rory, Kazemzadeh, Sahar, Yu, Jin, Kalidindi, Sreenivasa Raju, Etemadi, Mozziyar, Garcia-Vicente, Florencia, Melnick, David, Corrado, Greg S., Peng, Lily, Eswaran, Krish, Tse, Daniel, Beladia, Neeral, Liu, Yun, Chen, Po-Hsuan Cameron, Shetty, Shravya

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Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies gan Steiner, David F., Nagpal, Kunal, Sayres, Rory, Foote, Davis J., Wedin, Benjamin D., Pearce, Adam, Cai, Carrie J., Winter, Samantha R., Symonds, Matthew, Yatziv, Liron, Kapishnikov, Andrei, Brown, Trissia, Flament-Auvigne, Isabelle, Tan, Fraser, Stumpe, Martin C., Jiang, Pan-Pan, Liu, Yun, Chen, Po-Hsuan Cameron, Corrado, Greg S., Terry, Michael, Mermel, Craig H.

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Interpretable survival prediction for colorectal cancer using deep learning gan Wulczyn, Ellery, Steiner, David F., Moran, Melissa, Plass, Markus, Reihs, Robert, Tan, Fraser, Flament-Auvigne, Isabelle, Brown, Trissia, Regitnig, Peter, Chen, Po-Hsuan Cameron, Hegde, Narayan, Sadhwani, Apaar, MacDonald, Robert, Ayalew, Benny, Corrado, Greg S., Peng, Lily H., Tse, Daniel, Müller, Heimo, Xu, Zhaoyang, Liu, Yun, Stumpe, Martin C., Zatloukal, Kurt, Mermel, Craig H.

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Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading gan Wulczyn, Ellery, Nagpal, Kunal, Symonds, Matthew, Moran, Melissa, Plass, Markus, Reihs, Robert, Nader, Farah, Tan, Fraser, Cai, Yuannan, Brown, Trissia, Flament-Auvigne, Isabelle, Amin, Mahul B., Stumpe, Martin C., Müller, Heimo, Regitnig, Peter, Holzinger, Andreas, Corrado, Greg S., Peng, Lily H., Chen, Po-Hsuan Cameron, Steiner, David F., Zatloukal, Kurt, Liu, Yun, Mermel, Craig H.

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Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens gan Nagpal, Kunal, Foote, Davis, Tan, Fraser, Liu, Yun, Chen, Po-Hsuan Cameron, Steiner, David F., Manoj, Naren, Olson, Niels, Smith, Jenny L., Mohtashamian, Arash, Peterson, Brandon, Amin, Mahul B., Evans, Andrew J., Sweet, Joan W., Cheung, Carol, van der Kwast, Theodorus, Sangoi, Ankur R., Zhou, Ming, Allan, Robert, Humphrey, Peter A., Hipp, Jason D., Gadepalli, Krishna, Corrado, Greg S., Peng, Lily H., Stumpe, Martin C., Mermel, Craig H.

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