Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI von Tanno, Ryutaro, Worrall, Daniel E., Kaden, Enrico, Ghosh, Aurobrata, Grussu, Francesco, Bizzi, Alberto, Sotiropoulos, Stamatios N., Criminisi, Antonio, Alexander, Daniel C.

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis: 3rd International Workshop, UNSURE 2021, and 6... von Sudre, Carole H, Licandro, Roxane, Baumgartner, Christian, Melbourne, Andrew, Dalca, Adrian, Hutter, Jana, Tanno, Ryutaro, Abaci Turk, Esra, Van Leemput, Koen, Torrents Barrena, Jordina

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Active label cleaning for improved dataset quality under resource constraints von Bernhardt, Mélanie, Castro, Daniel C., Tanno, Ryutaro, Schwaighofer, Anton, Tezcan, Kerem C., Monteiro, Miguel, Bannur, Shruthi, Lungren, Matthew P., Nori, Aditya, Glocker, Ben, Alvarez-Valle, Javier, Oktay, Ozan

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Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety von Prasad, Niranjani, Chien, Isabel, Regan, Tim, Enrique, Angel, Palacios, Jorge, Keegan, Dessie, Munir, Usman, Tanno, Ryutaro, Richardson, Hannah, Nori, Aditya, Richards, Derek, Doherty, Gavin, Belgrave, Danielle, Thieme, Anja

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Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning von Bragman, Felix J. S., Tanno, Ryutaro, Eaton-Rosen, Zach, Li, Wenqi, Hawkes, David J., Ourselin, Sebastien, Alexander, Daniel C., McClelland, Jamie R., Cardoso, M. Jorge

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 202... von Sudre, Carole H, Baumgartner, Christian F, Dalca, Adrian, Qin, Chen, Tanno, Ryutaro, Van Leemput, Koen, Wells III, William M

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures: First International Workshop, UNSURE 2019, and 8th International Worksh... von Greenspan, Hayit, Tanno, Ryutaro, Erdt, Marius, Arbel, Tal, Baumgartner, Christian, Dalca, Adrian, Sudre, Carole H, Wells, William M, Drechsler, Klaus, Linguraru, Marius George

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis: Second International Workshop, UNSURE 2020, and Third Internationa... von Sudre, Carole H, Fehri, Hamid, Arbel, Tal, Baumgartner, Christian F, Dalca, Adrian, Tanno, Ryutaro, Van Leemput, Koen, Wells, William M, Sotiras, Aristeidis, Papiez, Bartlomiej

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Image quality transfer and applications in diffusion MRI von Alexander, Daniel C., Zikic, Darko, Ghosh, Aurobrata, Tanno, Ryutaro, Wottschel, Viktor, Zhang, Jiaying, Kaden, Enrico, Dyrby, Tim B., Sotiropoulos, Stamatios N., Zhang, Hui, Criminisi, Antonio

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Learning from multiple annotators for medical image segmentation von Zhang, Le, Tanno, Ryutaro, Xu, Moucheng, Huang, Yawen, Bronik, Kevin, Jin, Chen, Jacob, Joseph, Zheng, Yefeng, Shao, Ling, Ciccarelli, Olga, Barkhof, Frederik, Alexander, Daniel C.

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Reasoning with Uncertainty in Deep Learning for Safer Medical Image Computing von Tanno, Ryutaro

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Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms von Tax, Chantal MW, Grussu, Francesco, Kaden, Enrico, Ning, Lipeng, Rudrapatna, Umesh, John Evans, C., St-Jean, Samuel, Leemans, Alexander, Koppers, Simon, Merhof, Dorit, Ghosh, Aurobrata, Tanno, Ryutaro, Alexander, Daniel C., Zappalà, Stefano, Charron, Cyril, Kusmia, Slawomir, Linden, David EJ, Jones, Derek K., Veraart, Jelle

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Generative models improve fairness of medical classifiers under distribution shifts von Ktena, Ira, Wiles, Olivia, Albuquerque, Isabela, Rebuffi, Sylvestre-Alvise, Tanno, Ryutaro, Roy, Abhijit Guha, Azizi, Shekoofeh, Belgrave, Danielle, Kohli, Pushmeet, Cemgil, Taylan, Karthikesalingam, Alan, Gowal, Sven

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Collaboration between clinicians and vision–language models in radiology report generation von Tanno, Ryutaro, Barrett, David G. T., Sellergren, Andrew, Ghaisas, Sumedh, Dathathri, Sumanth, See, Abigail, Welbl, Johannes, Lau, Charles, Tu, Tao, Azizi, Shekoofeh, Singhal, Karan, Schaekermann, Mike, May, Rhys, Lee, Roy, Man, SiWai, Mahdavi, Sara, Ahmed, Zahra, Matias, Yossi, Barral, Joelle, Eslami, S. M. Ali, Belgrave, Danielle, Liu, Yun, Kalidindi, Sreenivasa Raju, Shetty, Shravya, Natarajan, Vivek, Kohli, Pushmeet, Huang, Po-Sen, Karthikesalingam, Alan, Ktena, Ira

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Low-field magnetic resonance image enhancement via stochastic image quality transfer von Lin, Hongxiang, Figini, Matteo, D’Arco, Felice, Ogbole, Godwin, Tanno, Ryutaro, Blumberg, Stefano B., Ronan, Lisa, Brown, Biobele J., Carmichael, David W., Lagunju, Ikeoluwa, Cross, Judith Helen, Fernandez-Reyes, Delmiro, Alexander, Daniel C.

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Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers von Oktay, Ozan, Nanavati, Jay, Schwaighofer, Anton, Carter, David, Bristow, Melissa, Tanno, Ryutaro, Jena, Rajesh, Barnett, Gill, Noble, David, Rimmer, Yvonne, Glocker, Ben, O'Hara, Kenton, Bishop, Christopher, Alvarez-Valle, Javier, Nori, Aditya

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Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution von Tanno, Ryutaro, Worrall, Daniel E., Ghosh, Aurobrata, Kaden, Enrico, Sotiropoulos, Stamatios N., Criminisi, Antonio, Alexander, Daniel C.

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures: First International Workshop, UNSURE 2019, and 8th International Worksh...

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Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images von Blumberg, Stefano B., Tanno, Ryutaro, Kokkinos, Iasonas, Alexander, Daniel C.

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis Image Processing, Computer Vision, Pattern Reco... von Sudre, Carole H, Licandro, Roxane, Baumgartner, Christian, Melbourne, Andrew, Dalca, Adrian, Hutter, Jana, Tanno, Ryutaro, Turk, Esra Abaci, Leemput, Koen Van, Barrena, Jordina Torrents, Wells, William M, Macgowan, Christopher

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