Detection and Classification of Novel Renal Histologic Phenotypes Using Deep Neural Networks von Sheehan, Susan, Mawe, Seamus, Cianciolo, Rachel E., Korstanje, Ron, Mahoney, J. Matthew

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A machine learning approach for quantifying age-related histological changes in the mouse kidney von Sheehan, Susan, Mawe, Seamus, Chen, Mandy, Klug, Jenna, Ladiges, Warren, Korstanje, Ron, Mahoney, J. Matthew

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High-throughput quantitative histology in systemic sclerosis skin disease using computer vision von Correia, Chase, Mawe, Seamus, Lofgren, Shane M., Marangoni, Roberta G., Lee, Jungwha, Saber, Rana, Aren, Kathleen, Cheng, Michelle, Teaw, Shannon, Hoffmann, Aileen, Goldberg, Isaac, Cowper, Shawn E., Khatri, Purvesh, Hinchcliff, Monique, Mahoney, J. Matthew

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No Gastrointestinal Dysmotility in Transgenic Mouse Models of Migraine von Sprouse Blum, Adam S., Lavoie, Brigitte, Haag, Melody, Mawe, Seamus M., Tolner, Else A., Maagdenberg, Arn M.J.M., Chen, Shih‐Pin, Eikermann‐Haerter, Katharina, Ptáček, Louis, Mawe, Gary M., Shapiro, Robert E.

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Visualizing and Quantifying Biological Age in the Kidney: TH-PO535 von Sheehan, Susan M., Mawe, Seamus, Chen, Mandy, Korstanje, Ron, Mahoney, John M.

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Fine Spike Timing in Hippocampal–Prefrontal Ensembles Predicts Poor Encoding and Underlies Behavioral Performance in Healthy and Malformed Brains von Hernan, Amanda E, Mahoney, J Matthew, Curry, Willie, Mawe, Seamus, Scott, Rod C

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Additional file 2 of High-throughput quantitative histology in systemic sclerosis skin disease using computer vision von Correia, Chase, Mawe, Seamus, Lofgren, Shane, Marangoni, Roberta G., Jungwha Lee, Saber, Rana, Aren, Kathleen, Cheng, Michelle, Teaw, Shannon, Hoffmann, Aileen, Goldberg, Isaac, Cowper, Shawn E., Purvesh Khatri, Hinchcliff, Monique, Mahoney, J. Matthew

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