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Histologic Layer-based Quantitative Artificial Intelligence Tool for a Mouse Model of Eosinophilic Esophagitis Patil, Ameya; Smith, Lindsey; Sivasubramaniam, Priyadharshini; Elhalaby, Rofyda; Dacosta, Adilson; Hasan, Bashar; Nazli, Saadiya; Park, Byoung Uk; Shabaan, Abdelrahman; Graham, Rondell; Hartley, Christopher; Doyle, Alfred; Wright, Benjamin; Moreira, Roger Share Save
A Machine Learning model of Lamina Propria Fibrosis in Eosinophilic Esophagitis is Accurate and Predicts Fibrosis-Related Endoscopic Findings Sivasubramaniam, Priyadharshini; Shabaan, Abdelrahman; Elhalaby, Rofyda; Hasan, Bashar; Patil, Ameya; Nazli, Saadiya; DaCosta, Adilson; Park, Byoung Uk; Archila, Luisa Ricaurte; Smith, Lindsey; Hopson, Puanani; Absah, Imad; Hartley, Christopher; Graham, Rondell; Moreira, Roger Share Save
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Steatosis Evaluation in the Digital Age: What Can Machines Tell Us About Our Methods? Nazli, Saadiya; Shabaan, Abdelrahman; Hasan, Bashar; Park, Byoung Uk; Elhalaby, Rofyda; Sivasubramaniam, Priyadharshini; Dacosta, Adilson; Smith, Lindsey; Graham, Rondell; Hartley, Christopher; Allende, Daniela; Krishna, Murli; Salomao, Marcela; Pai, Rish; Matkowskyj, Kristina; Lee, Hee Eun; Lagana, Stephen; Chen, Zongming (Eric); Lewis, Jason; Cannon, Andrew; Pati, Ameya; Moreira, Roger Share Save
Enhanced Tissue Detection in Digital Pathology: A Robust Model for Excluding Artifacts Smith, Lindsey; Patil, Ameya; Elhalaby, Rofyda; Hasan, Bashar; Park, Byoung Uk; Sivasubramaniam, Priyadharshini; Nazli, Saadiya; Shabaan, Abdelrahman; DaCosta, Adilson; Moreira, Roger Share Save
Evaluating the Performance of a Supervised AI Model in Grading and Staging Metabolic Dysfunction-Associated Steatohepatitis Using Trichrome Stain Park, Byoung Uk; Patil, Ameya; Smith, Lindsey; Hasan, Bashar; Sivasubramaniam, Priyadharshini; Elhalaby, Rofyda; Abdelrahman, Nada; Nazli, Saadiya; Shabaan, Abdelrahman; Cannon, Andrew; DaCosta, Adilson; Loh, Jiezhen Tracy; Salomao, Marcela; Pai, Rish; Hartley, Christopher; Graham, Rondell; Moreira, Roger Share Save
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Performance of an Artificial Intelligence Model for Recognition and Quantitation of Histologic Features of Eosinophilic Esophagitis on Biopsy Samples Archila, Luisa Ricaurte; Smith, Lindsey; Sihvo, Hanna-Kaisa; Koponen, Ville; Jenkins, Sarah M.; O'Sullivan, Donnchadh M.; Fernandez, Maria Camila Cardenas; Wang, Yaohong; Sivasubramaniam, Priyadharshini; Patil, Ameya; Hopson, Puanani E.; Absah, Imad; Ravi, Karthik; Mounajjed, Taofic; Dellon, Evan S.; Bredenoord, Albert J.; Pai, Rish; Hartley, Christopher P.; Graham, Rondell P.; Moreira, Roger K. Share Save
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