Deep learning-based segmentation of lithium-ion battery microstructures enhanced by artificially generated electrodes von Müller, Simon, Sauter, Christina, Shunmugasundaram, Ramesh, Wenzler, Nils, De Andrade, Vincent, De Carlo, Francesco, Konukoglu, Ender, Wood, Vanessa

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An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation von Baumgartner, Christian F., Koch, Lisa M., Pollefeys, Marc, Konukoglu, Ender

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Regression Forests for Efficient Anatomy Detection and Localization in CT Studies von Criminisi, Antonio, Shotton, Jamie, Robertson, Duncan, Konukoglu, Ender

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Shape-based hand recognition von Yoruk, E., Konukoglu, E., Sankur, B., Darbon, J.

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Assessing radiomics feature stability with simulated CT acquisitions von Flouris, Kyriakos, Jimenez-del-Toro, Oscar, Aberle, Christoph, Bach, Michael, Schaer, Roger, Obmann, Markus M., Stieltjes, Bram, Müller, Henning, Depeursinge, Adrien, Konukoglu, Ender

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Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images von Geremia, Ezequiel, Clatz, Olivier, Menze, Bjoern H., Konukoglu, Ender, Criminisi, Antonio, Ayache, Nicholas

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Post-radiochemotherapy PET radiomics in head and neck cancer – The influence of radiomics implementation on the reproducibility of local control tumor models von Bogowicz, Marta, Leijenaar, Ralph T.H., Tanadini-Lang, Stephanie, Riesterer, Oliver, Pruschy, Martin, Studer, Gabriela, Unkelbach, Jan, Guckenberger, Matthias, Konukoglu, Ender, Lambin, Philippe

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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning: 10th Wor... von Oyarzun Laura, Cristina, Cardoso, M. Jorge, Rosen-Zvi, Michal, Kaissis, Georgios, Linguraru, Marius George, Shekhar, Raj, Wesarg, Stefan, Erdt, Marius, Drechsler, Klaus, Chen, Yufei

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Predicting mortality after transcatheter aortic valve replacement using preprocedural CT von Brüggemann, David, Kuzo, Nazar, Anwer, Shehab, Kebernik, Julia, Eberhard, Matthias, Alkadhi, Hatem, Tanner, Felix C., Konukoglu, Ender

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Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations von Glocker, Ben, Zikic, Darko, Konukoglu, Ender, Haynor, David R., Criminisi, Antonio

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Author Correction: Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks von Erdil, Ertunc, Becker, Anton S., Schwyzer, Moritz, Martinez-Tellez, Borja, Ruiz, Jonatan R., Sartoretti, Thomas, Vargas, H. Alberto, Burger, A. Irene, Chirindel, Alin, Wild, Damian, Zamboni, Nicola, Deplancke, Bart, Gardeux, Vincent, Maushart, Claudia Irene, Betz, Matthias Johannes, Wolfrum, Christian, Konukoglu, Ender

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Improving workflow in prostate MRI: AI-based decision-making on biparametric or multiparametric MRI von Hötker, Andreas M., Da Mutten, Raffaele, Tiessen, Anja, Konukoglu, Ender, Donati, Olivio F.

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Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks von Erdil, Ertunc, Becker, Anton S., Schwyzer, Moritz, Martinez-Tellez, Borja, Ruiz, Jonatan R., Sartoretti, Thomas, Vargas, H. Alberto, Burger, A. Irene, Chirindel, Alin, Wild, Damian, Zamboni, Nicola, Deplancke, Bart, Gardeux, Vincent, Maushart, Claudia Irene, Betz, Matthias Johannes, Wolfrum, Christian, Konukoglu, Ender

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PSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI von Laudicella, Riccardo, Comelli, Albert, Schwyzer, Moritz, Stefano, Alessandro, Konukoglu, Ender, Messerli, Michael, Baldari, Sergio, Eberli, Daniel, Burger, Irene A.

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Two distinct classes of degenerative change are independently linked to clinical progression in Mild Cognitive Impairment von Coutu, Jean-Philippe, PhD, Lindemer, Emily R., PhD, Konukoglu, Ender, PhD, Salat, David H., PhD

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Correction: PSMA‑positive prostatic volume prediction with deep learning based on T2‑weighted MRI von Laudicella, Riccardo, Comelli, Albert, Schwyzer, Moritz, Stefano, Alessandro, Konukoglu, Ender, Messerli, Michael, Baldari, Sergio, Eberli, Daniel, Burger, Irene A.

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Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation von Chaitanya, Krishna, Erdil, Ertunc, Karani, Neerav, Konukoglu, Ender

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Test-time adaptable neural networks for robust medical image segmentation von Karani, Neerav, Erdil, Ertunc, Chaitanya, Krishna, Konukoglu, Ender

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Patient-specific quality assurance strategies for synthetic computed tomography in magnetic resonance-only radiotherapy of the abdomen von Dal Bello, Riccardo, Lapaeva, Mariia, La Greca Saint-Esteven, Agustina, Wallimann, Philipp, Günther, Manuel, Konukoglu, Ender, Andratschke, Nicolaus, Guckenberger, Matthias, Tanadini-Lang, Stephanie

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Synthetic computed tomography for low-field magnetic resonance-guided radiotherapy in the abdomen von Lapaeva, Mariia, La Greca Saint-Esteven, Agustina, Wallimann, Philipp, Günther, Manuel, Konukoglu, Ender, Andratschke, Nicolaus, Guckenberger, Matthias, Tanadini-Lang, Stephanie, Dal Bello, Riccardo

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