The Role of SGLT2 Inhibitors in Atherosclerosis: A Narrative Mini-Review von Pahud de Mortanges, Aurelie, Salvador Jr, Dante, Laimer, Markus, Muka, Taulant, Wilhelm, Matthias, Bano, Arjola

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PD-1/PD-L1-Associated Immunoarchitectural Patterns Stratify Pancreatic Cancer Patients into Prognostic/ Predictive Subgroups von Karamitopoulou, Eva, Andreou, Andreas, de Mortanges, Aurelie Pahud, Tinguely, Marianne, Gloor, Beat, Perren, Aurel

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GLP-1 Receptor Agonists and Coronary Arteries: From Mechanisms to Events von Pahud de Mortanges, Aurélie, Sinaci, Eldem, Salvador, Jr, Dante, Bally, Lia, Muka, Taulant, Wilhelm, Matthias, Bano, Arjola

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Exploratory Analysis of Qualitative MR Imaging Features for the Differentiation of Glioblastoma and Brain Metastases von Meier, Raphael, Pahud de Mortanges, Aurelie, Wiest, Roland, Knecht, Urspeter

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Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging von Pahud de Mortanges, Aurélie, Luo, Haozhe, Shu, Shelley Zixin, Kamath, Amith, Suter, Yannick, Shelan, Mohamed, Pöllinger, Alexander, Reyes, Mauricio

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Machine Learning in Antibody Diagnostics for Inflammatory Bowel Disease Subtype Classification von Sokollik, Christiane, Pahud de Mortanges, Aurélie, Leichtle, Alexander B, Juillerat, Pascal, Horn, Michael P

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Mental health of migrants with pre-migration exposure to armed conflict: a systematic review and meta-analysis von Mesa-Vieira, Cristina, Haas, Andreas D, Buitrago-Garcia, Diana, Roa-Diaz, Zayne M, Minder, Beatrice, Gamba, Magda, Salvador, Dante, Gomez, Daniel, Lewis, Meghann, Gonzalez-Jaramillo, Wendy C, Pahud de Mortanges, Aurélie, Buttia, Chepkoech, Muka, Taulant, Trujillo, Natalia, Franco, Oscar H

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Changes in fasting plasma glucose and subclinical atherosclerosis: A cohort study from VIPVIZA trial von Salvador, Dante, Liv, Per, Norberg, Margareta, Pahud de Mortanges, Aurélie, Saner, Hugo, Glisic, Marija, Nicoll, Rachel, Muka, Taulant, Nyman, Emma, Bano, Arjola, Näslund, Ulf

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Effect of SARS-CoV-2 Infection on Renal and Hepatic Function after NSAID and Paracetamol Therapy von Pahud de Mortanges, Aurélie, Liakoni, Evangelia, Schöning, Verena, Hammann, Felix

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INFORMER- Interpretability Founded Monitoring of Medical Image Deep Learning Models von Shu, Shelley Zixin, de Mortanges, Aurélie Pahud, Poellinger, Alexander, Mahapatra, Dwarikanath, Reyes, Mauricio

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Prognostic models in COVID-19 infection that predict severity: a systematic review von Buttia, Chepkoech, Llanaj, Erand, Raeisi-Dehkordi, Hamidreza, Kastrati, Lum, Amiri, Mojgan, Meçani, Renald, Taneri, Petek Eylul, Ochoa, Sergio Alejandro Gómez, Raguindin, Peter Francis, Wehrli, Faina, Khatami, Farnaz, Espínola, Octavio Pano, Rojas, Lyda Z., de Mortanges, Aurélie Pahud, Macharia-Nimietz, Eric Francis, Alijla, Fadi, Minder, Beatrice, Leichtle, Alexander B., Lüthi, Nora, Ehrhard, Simone, Que, Yok-Ai, Fernandes, Laurenz Kopp, Hautz, Wolf, Muka, Taulant

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Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week von Yang, Junlin, Henao, John Anderson Garcia, Dvornek, Nicha, He, Jianchun, Bower, Danielle V., Depotter, Arno, Bajercius, Herkus, de Mortanges, Aurélie Pahud, You, Chenyu, Gange, Christopher, Ledda, Roberta Eufrasia, Silva, Mario, Dela Cruz, Charles S., Hautz, Wolf, Bonel, Harald M., Reyes, Mauricio, Staib, Lawrence H., Poellinger, Alexander, Duncan, James S.

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DreamOn: Enhancing Deep Learning in Medical Imaging with REM-Dream-Inspired Data Augmentation von Lerch, Luc, Huber, Lukas S., Kamath, Amith, Senn, Walter, Reyes, Mauricio, Pöllinger, Alexander, Obmann, Verena, Dammann, Florian, Pahud de Mortanges, Aurélie

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Prognostic models in COVID-19 infection that predict severity: a systematic review von Buttia, Chepkoech, Llanaj, Erand, Raeisi-Dehkordi, Hamidreza, Kastrati, Lum, Amiri, Mojgan, Meçani, Renald, Taneri, Petek Eylul, Ochoa, Sergio Alejandro Gómez, Raguindin, Peter Francis, Wehrli, Faina, Khatami, Farnaz, Espínola, Octavio Pano, Rojas, Lyda Z, de Mortanges, Aurélie Pahud, Macharia-Nimietz, Eric Francis, Alijla, Fadi, Minder, Beatrice, Leichtle, Alexander B, Lüthi, Nora, Ehrhard, Simone, Que, Yok Ai, Fernandes, Laurenz Kopp, Hautz, Wolf, Muka, Taulant

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DWARF: Disease-weighted network for attention map refinement von Luo, Haozhe, de Mortanges, Aurélie Pahud, Inel, Oana, Bernstein, Abraham, Reyes, Mauricio

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DWARF: Disease-weighted network for attention map refinement von Luo, Haozhe, Aurélie Pahud de Mortanges, Inel, Oana, Bernstein, Abraham, Reyes, Mauricio

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Prognostic models in COVID-19 infection that predict severity: a systematic review von Raguindin, Peter Francis, Buttia, Chepkoech, Llanaj, Erand, Raesi-Dehkordi, Hamidreza, Kastrati, Lum, Amiri, Mojgan, Meçani, Renald, Eylul Taneri, Petek, Ochoa, Sergio Alejandro, Gómez, Raguindin, Peter Francis, Wehrli, Faina, Khatami, Farnaz, Pano Espínola, Octavio, Rojas, Lyda Z., de Mortanges, Aurélie Pahud, Macharia-Nimietz, Eric Francis, Alijla, Fadi, Minder, Beatrice, Leichtle, Alexander B., Lüthi, Nora, Erhard, Simone, Que, Yok-Ai, Kopp Fernandes, Laurenz, Hautz, Wolf, Muka, Taulant

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