Search Results - "Dodi, Omri"

Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY by Vanea, Claudia, Džigurski, Jelisaveta, Rukins, Valentina, Dodi, Omri, Siigur, Siim, Salumäe, Liis, Meir, Karen, Parks, W. Tony, Hochner-Celnikier, Drorith, Fraser, Abigail, Hochner, Hagit, Laisk, Triin, Ernst, Linda M., Lindgren, Cecilia M., Nellåker, Christoffer

“…Accurate placenta pathology assessment is essential for managing maternal and newborn health, but the placenta’s heterogeneity and temporal variability pose…”
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CDC25C Protein Expression Correlates with Tumor Differentiation and Clinical Outcomes in Lung Adenocarcinoma by Stern, Esther, Pines, Guy, Lazar, Li Or, Vainer, Gilad W, Beltran, Nitzan, Dodi, Omri, Gamaev, Lika, Hikri Simon, Ofir, Abraham, Michal, Wald, Hanna, Peled, Amnon, Wald, Ori

“…Given that, even after multimodal therapy, early-stage lung cancer (LC) often recurs, novel prognostic markers to help guide therapy are highly desired. The…”
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Similar Rates of Symptomatic Marginal Ulcers After One-Anastomosis-Gastric Bypass Compared to Roux-en-Y Gastric Bypass by Kupietzky, Amram, Dodi, Omri, Cohen, Noa, Dover, Roi, Maden, Ata, Mazeh, Haggi, Grinbaum, Ronit, Mizrahi, Ido

“…Purpose One-anastomosis-gastric-bypass (OAGB) has become a common bariatric procedure worldwide. Marginal ulcers (MU) are a significant non-immediate…”
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Existing Scores Fail to Predict Bowel Ischemia in Patients With Adhesive Small Bowel Obstruction by Kupietzky, Amram, Dodi, Omri, Dover, Roi, Lourie, Nachum Emil Eliezer, Berrebi, Yehonatan, Lev-Cohain, Naama, Hiller, Nurith, Mazeh, Haggi, Mizrahi, Ido

“…Early recognition of bowel ischemia is critical in patients suffering from acute adhesive small bowel obstruction (ASBO). Recent studies attempted to propose a…”
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A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs by Vanea, Claudia, Campbell, Jonathan, Dodi, Omri, Salumäe, Liis, Meir, Karen, Hochner-Celnikier, Drorith, Hochner, Hagit, Laisk, Triin, Ernst, Linda M, Lindgren, Cecilia M, Nellåker, Christoffer

“…We introduce a new benchmark dataset, Placenta, for node classification in an underexplored domain: predicting microanatomical tissue structures from cell…”
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