Search Results - Jack Fu

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  1. 1
    A Human SPT3-TAFII31-GCN5-L Acetylase Complex Distinct from Transcription Factor IID

    A Human SPT3-TAFII31-GCN5-L Acetylase Complex Distinct from Transcription Factor IID by Ernest Martinez, Tapas K. Kundu, Jack Fu, Robert G. Roeder

    Published 1998
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  2. 2
    Activity-Dependent Degradation of the Nascentome by the Neuronal Membrane Proteasome

    Activity-Dependent Degradation of the Nascentome by the Neuronal Membrane Proteasome by Kapil V. Ramachandran, Jack Fu, Thomas Schaffer, Chan Hyun Na, Michael Delannoy, Seth S. Margolis

    Published 2018
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  3. 3
    Developmental Variability in Autism Across 17 000 Autistic Individuals and 4000 Siblings Without an Autism Diagnosis

    Developmental Variability in Autism Across 17 000 Autistic Individuals and 4000 Siblings Without an Autism Diagnosis by Susan S. Kuo, Celia van der Merwe, Jack Fu, Caitlin E. Carey, Michael E. Talkowski, Somer Bishop, Elise Robinson

    Published 2022
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  4. 4
    Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study

    Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study by Gongyu Zhang, Dun Jack Fu, Bart Liefers, Livia Faes, Sophie Glinton, Siegfried Wagner, Robbert Struyven, Nikolas Pontikos, Pearse A. Keane, Konstantinos Balaskas

    Published 2021
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  5. 5
    A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

    A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies by Livia Faes, Xiaoxuan Liu, Siegfried Wagner, Dun Jack Fu, Konstantinos Balaskas, Dawn A. Sim, Lucas M. Bachmann, Pearse A. Keane, Alastair K. Denniston

    Published 2020
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  6. 6
    Implementation of a cloud-based referral platform in ophthalmology: making telemedicine services a reality in eye care

    Implementation of a cloud-based referral platform in ophthalmology: making telemedicine services a reality in eye care by Christoph Kern, Dun Jack Fu, Karsten Kortuem, Josef Huemer, David Barker, Alison Davis, Konstantinos Balaskas, Pearse A. Keane, Tom McKinnon, Dawn A. Sim

    Published 2019
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  7. 7
    Insights into Systemic Disease through Retinal Imaging-Based Oculomics

    Insights into Systemic Disease through Retinal Imaging-Based Oculomics by Siegfried Wagner, Dun Jack Fu, Livia Faes, Xiaoxuan Liu, Josef Huemer, Hagar Khalid, Daniel Ferraz, Edward Korot, Christopher Kelly, Konstantinos Balaskas, Alastair K. Denniston, Pearse A. Keane

    Published 2020
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  8. 8
    Predicting Incremental and Future Visual Change in Neovascular Age-Related Macular Degeneration Using Deep Learning

    Predicting Incremental and Future Visual Change in Neovascular Age-Related Macular Degeneration Using Deep Learning by Dun Jack Fu, Livia Faes, Siegfried K. Wagner, Gabriella Moraes, Reena Chopra, Praveen J. Patel, Konstantinos Balaskas, Tiarnán D L Keenan, Lucas M. Bachmann, Pearse A. Keane

    Published 2021
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  9. 9
    Landscape of mSWI/SNF chromatin remodeling complex perturbations in neurodevelopmental disorders

    Landscape of mSWI/SNF chromatin remodeling complex perturbations in neurodevelopmental disorders by Alfredo M. Valencia, Akshay Sankar, Pleuntje J. van der Sluijs, F. Kyle Satterstrom, Jack Fu, Michael E. Talkowski, Samantha A. Schrier Vergano, Gijs W.E. Santen, Cigall Kadoch

    Published 2023
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  10. 10
    Keratin 9 Is Required for the Structural Integrity and Terminal Differentiation of the Palmoplantar Epidermis

    Keratin 9 Is Required for the Structural Integrity and Terminal Differentiation of the Palmoplantar Epidermis by Dun Jack Fu, Calum Thomson, Declan P. Lunny, Patricia J.C. Dopping-Hepenstal, John A. McGrath, Frances J.D. Smith, W.H. Irwin McLean, Deena M. Leslie Pedrioli

    Published 2013
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  11. 11
    Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning

    Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning by Gabriella Moraes, Dun Jack Fu, Marc Wilson, Hagar Khalid, Siegfried Wagner, Edward Korot, Daniel Ferraz, Livia Faes, Christopher Kelly, Terry Spitz, Praveen J. Patel, Konstantinos Balaskas, Tiarnán D L Keenan, Pearse A. Keane, Reena Chopra

    Published 2020
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  12. 12
    GATK-gCNV enables the discovery of rare copy number variants from exome sequencing data

    GATK-gCNV enables the discovery of rare copy number variants from exome sequencing data by Mehrtash Babadi, Jack Fu, Samuel K. Lee, Andrey N. Smirnov, Laura D. Gauthier, Mark Walker, David Benjamin, Xuefang Zhao, Konrad J. Karczewski, Isaac Wong, Ryan L. Collins, Alba Sanchis‐Juan, Harrison Brand, Eric Banks, Michael E. Talkowski

    Published 2023
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  13. 13
    Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study

    Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study by Livia Faes, Siegfried Wagner, Dun Jack Fu, Xiaoxuan Liu, Edward Korot, Joseph R. Ledsam, Trevor Back, Reena Chopra, Nikolas Pontikos, Christoph Kern, Gabriella Moraes, Martin Schmid, Dawn A. Sim, Konstantinos Balaskas, Lucas M. Bachmann, Alastair K. Denniston, Pearse A. Keane

    Published 2019
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  14. 14
    A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

    A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis by Xiaoxuan Liu, Livia Faes, Aditya U. Kale, Siegfried Wagner, Dun Jack Fu, Alice Bruynseels, Thushika Mahendiran, Gabriella Moraes, Mohith Shamdas, Christoph Kern, Joseph R. Ledsam, Martin Schmid, Konstantinos Balaskas, Eric J. Topol, Lucas M. Bachmann, Pearse A. Keane, Alastair K. Denniston

    Published 2019
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  15. 15
    Pegcetacoplan Treatment and Consensus Features of Geographic Atrophy Over 24 Months

    Pegcetacoplan Treatment and Consensus Features of Geographic Atrophy Over 24 Months by Dun Jack Fu, Pallavi Bagga, Gunjan Naik, Sophie Glinton, Livia Faes, Bart Liefers, Rosana Lima, Georgina Wignall, Pearse A. Keane, Estelle Ioannidou, Ana Paula Ribeiro Reis, Alex McKeown, Lukas Scheibler, Praveen J. Patel, Ismail Moghul, Nikolas Pontikos, Konstantinos Balaskas

    Published 2024
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  16. 16
    Statistical and functional convergence of common and rare variant risk for autism spectrum disorders at chromosome 16p

    Statistical and functional convergence of common and rare variant risk for autism spectrum disorders at chromosome 16p by Daniel J. Weiner, Emi Ling, Serkan Erdin, Derek J.C. Tai, Rachita Yadav, Jakob Grove, Jack Fu, Ajay Nadig, Caitlin E. Carey, Nikolas Baya, Jonas Bybjerg‐Grauholm, Sabina Berretta, Evan Z. Macosko, Jonathan Sebat, Luke J. O’Connor, David M. Hougaard, Anders D. Børglum, Michael E. Talkowski, Steve McCarroll, Elise Robinson

    Published 2022
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  17. 17
    Whole exome sequencing analyses reveal gene–microbiota interactions in the context of IBD

    Whole exome sequencing analyses reveal gene–microbiota interactions in the context of IBD by Shixian Hu, Arnau Vich Vila, Ranko Gaćeša, Valerie Collij, Christine Stevens, Jack Fu, Isaac Wong, Michael E. Talkowski, Manuel A. Rivas, Floris Imhann, Laura A. Bolte, Hendrik van Dullemen, Gerard Dijkstra, Marijn C. Visschedijk, Eleonora A. Festen, Ramnik J. Xavier, Jingyuan Fu, Mark J. Daly, Cisca Wijmenga, Alexandra Zhernakova, Alexander Kurilshikov, Rinse K. Weersma

    Published 2020
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  18. 18
    Expectations and blind spots for structural variation detection from long-read assemblies and short-read genome sequencing technologies

    Expectations and blind spots for structural variation detection from long-read assemblies and short-read genome sequencing technologies by Xuefang Zhao, Ryan L. Collins, Wan‐Ping Lee, Alexandra M. Weber, Yukyung Jun, Qihui Zhu, Ben Weisburd, Yongqing Huang, Peter A. Audano, Harold Wang, Mark Walker, Chelsea Lowther, Jack Fu, Mark Gerstein, Scott E. Devine, Tobias Marschall, Jan O. Korbel, Evan E. Eichler, Mark Chaisson, Charles Lee, Ryan E. Mills, Harrison Brand, Michael E. Talkowski

    Published 2021
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  19. 19
    Retinograd-AI: An Open-source Automated Fundus Autofluorescence Retinal Image Gradability Assessment for Inherited Retinal Dystrophies

    Retinograd-AI: An Open-source Automated Fundus Autofluorescence Retinal Image Gradability Assessment for Inherited Retinal Dystrophies by Gunjan Naik, Saoud Al‐Khuzaei, Ismail Moghul, Thales A. C. de Guimarães, Sagnik Sen, Malena Daich Varela, Yichen Liu, Pallavi Bagga, Vincent P. Rocco, Dun Jack Fu, Mariya Moosajee, Savita Madhusudhan, Andrew R. Webster, Samantha R. De Silva, Praveen J. Patel, Omar A. Mahroo, Susan M. Downes, Michel Michaelides, Konstantinos Balaskas, Nikolas Pontikos, William Woof

    Published 2025
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  20. 20
    The female protective effect against autism spectrum disorder

    The female protective effect against autism spectrum disorder by Emilie M. Wigdor, Daniel J. Weiner, Jakob Grove, Jack Fu, Wesley K. Thompson, Caitlin E. Carey, Nikolas Baya, Celia van der Merwe, Raymond K. Walters, F. Kyle Satterstrom, Duncan S. Palmer, Anders Rosengren, Jonas Bybjerg‐Grauholm, David M. Hougaard, Preben Bo Mortensen, Mark J. Daly, Michael E. Talkowski, Stephan Sanders, Somer Bishop, Anders D. Børglum, Elise Robinson

    Published 2022
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