DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks von Rajchl, Martin, Lee, Matthew C. H., Oktay, Ozan, Kamnitsas, Konstantinos, Passerat-Palmbach, Jonathan, Bai, Wenjia, Damodaram, Mellisa, Rutherford, Mary A., Hajnal, Joseph V., Kainz, Bernhard, Rueckert, Daniel

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A foundation model for clinical-grade computational pathology and rare cancers detection von Vorontsov, Eugene, Bozkurt, Alican, Casson, Adam, Shaikovski, George, Zelechowski, Michal, Severson, Kristen, Zimmermann, Eric, Hall, James, Tenenholtz, Neil, Fusi, Nicolo, Yang, Ellen, Mathieu, Philippe, van Eck, Alexander, Lee, Donghun, Viret, Julian, Robert, Eric, Wang, Yi Kan, Kunz, Jeremy D., Lee, Matthew C. H., Bernhard, Jan H., Godrich, Ran A., Oakley, Gerard, Millar, Ewan, Hanna, Matthew, Wen, Hannah, Retamero, Juan A., Moye, William A., Yousfi, Razik, Kanan, Christopher, Klimstra, David S., Rothrock, Brandon, Liu, Siqi, Fuchs, Thomas J.

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Image-and-Spatial Transformer Networks for Structure-Guided Image Registration von Lee, Matthew C. H., Oktay, Ozan, Schuh, Andreas, Schaap, Michiel, Glocker, Ben

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Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry von Hou, Benjamin, Miolane, Nina, Khanal, Bishesh, Lee, Matthew C. H., Alansary, Amir, McDonagh, Steven, Hajnal, Jo V., Rueckert, Daniel, Glocker, Ben, Kainz, Bernhard

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Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors von Tóthová, Katarína, Parisot, Sarah, Lee, Matthew C. H., Puyol-Antón, Esther, Koch, Lisa M., King, Andrew P., Konukoglu, Ender, Pollefeys, Marc

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Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images von Wang, Yi Kan, Tydlitatova, Ludmila, Kunz, Jeremy D, Oakley, Gerard, Godrich, Ran A, Lee, Matthew C. H, Vanderbilt, Chad, Yousfi, Razik, Fuchs, Thomas, Klimstra, David S, Liu, Siqi

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Virchow: A Million-Slide Digital Pathology Foundation Model von Vorontsov, Eugene, Bozkurt, Alican, Casson, Adam, Shaikovski, George, Zelechowski, Michal, Liu, Siqi, Severson, Kristen, Zimmermann, Eric, Hall, James, Tenenholtz, Neil, Fusi, Nicolo, Mathieu, Philippe, van Eck, Alexander, Lee, Donghun, Viret, Julian, Robert, Eric, Wang, Yi Kan, Kunz, Jeremy D, Lee, Matthew C. H, Bernhard, Jan, Godrich, Ran A, Oakley, Gerard, Millar, Ewan, Hanna, Matthew, Retamero, Juan, Moye, William A, Yousfi, Razik, Kanan, Christopher, Klimstra, David, Rothrock, Brandon, Fuchs, Thomas J

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Image-and-Spatial Transformer Networks for Structure-Guided Image Registration von Lee, Matthew C. H, Oktay, Ozan, Schuh, Andreas, Schaap, Michiel, Glocker, Ben

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Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images von Yi Kan Wang, Tydlitatova, Ludmila, Kunz, Jeremy D, Oakley, Gerard, Godrich, Ran A, Lee, Matthew C H, Vanderbilt, Chad, Razik Yousfi, Fuchs, Thomas, Klimstra, David S, Liu, Siqi

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Implicit Weight Uncertainty in Neural Networks von Pawlowski, Nick, Brock, Andrew, Lee, Matthew C. H, Rajchl, Martin, Glocker, Ben

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Virchow: A Million-Slide Digital Pathology Foundation Model von Vorontsov, Eugene, Bozkurt, Alican, Casson, Adam, Shaikovski, George, Zelechowski, Michal, Liu, Siqi, Severson, Kristen, Zimmermann, Eric, Hall, James, Tenenholtz, Neil, Fusi, Nicolo, Mathieu, Philippe, Alexander van Eck, Lee, Donghun, Viret, Julian, Robert, Eric, Yi Kan Wang, Kunz, Jeremy D, Lee, Matthew C H, Bernhard, Jan, Godrich, Ran A, Oakley, Gerard, Millar, Ewan, Hanna, Matthew, Retamero, Juan, Moye, William A, Razik Yousfi, Kanan, Christopher, Klimstra, David, Rothrock, Brandon, Fuchs, Thomas J

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DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images von Pawlowski, Nick, Ktena, Sofia Ira, Lee, Matthew C. H, Kainz, Bernhard, Rueckert, Daniel, Glocker, Ben, Rajchl, Martin

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Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors von Tóthová, Katarína, Parisot, Sarah, Lee, Matthew C. H, Puyol-Antón, Esther, Koch, Lisa M, King, Andrew P, Konukoglu, Ender, Pollefeys, Marc

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Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry von Hou, Benjamin, Miolane, Nina, Khanal, Bishesh, Lee, Matthew C. H, Alansary, Amir, McDonagh, Steven, Hajnal, Jo V, Rueckert, Daniel, Glocker, Ben, Kainz, Bernhard

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Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders von Dilokthanakul, Nat, Mediano, Pedro A. M, Garnelo, Marta, Lee, Matthew C. H, Salimbeni, Hugh, Arulkumaran, Kai, Shanahan, Murray

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Image-and-Spatial Transformer Networks for Structure-Guided Image Registration von Lee, Matthew C H, Oktay, Ozan, Schuh, Andreas, Schaap, Michiel, Glocker, Ben

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Learning under Distributed Weak Supervision von Rajchl, Martin, Lee, Matthew C. H, Schrans, Franklin, Davidson, Alice, Passerat-Palmbach, Jonathan, Tarroni, Giacomo, Alansary, Amir, Oktay, Ozan, Kainz, Bernhard, Rueckert, Daniel

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DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks von Rajchl, Martin, Lee, Matthew C. H, Oktay, Ozan, Kamnitsas, Konstantinos, Passerat-Palmbach, Jonathan, Bai, Wenjia, Damodaram, Mellisa, Rutherford, Mary A, Hajnal, Joseph V, Kainz, Bernhard, Rueckert, Daniel

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Implicit Weight Uncertainty in Neural Networks von Pawlowski, Nick, Brock, Andrew, Lee, Matthew C H, Rajchl, Martin, Glocker, Ben

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DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images von Pawlowski, Nick, Ktena, Sofia Ira, Lee, Matthew C H, Kainz, Bernhard, Rueckert, Daniel, Glocker, Ben, Rajchl, Martin

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