Whole-body cellular mapping in mouse using standard IgG antibodies von Mai, Hongcheng, Luo, Jie, Hoeher, Luciano, Al-Maskari, Rami, Horvath, Izabela, Chen, Ying, Kofler, Florian, Piraud, Marie, Paetzold, Johannes C., Modamio, Jennifer, Todorov, Mihail, Elsner, Markus, Hellal, Farida, Ertürk, Ali

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Differentially Private Graph Neural Networks for Whole-Graph Classification von Mueller, Tamara T., Paetzold, Johannes C., Prabhakar, Chinmay, Usynin, Dmitrii, Rueckert, Daniel, Kaissis, Georgios

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VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images von Sekuboyina, Anjany, Husseini, Malek E., Bayat, Amirhossein, Löffler, Maximilian, Liebl, Hans, Li, Hongwei, Tetteh, Giles, Kukačka, Jan, Payer, Christian, Štern, Darko, Urschler, Martin, Chen, Maodong, Cheng, Dalong, Lessmann, Nikolas, Hu, Yujin, Wang, Tianfu, Yang, Dong, Xu, Daguang, Ambellan, Felix, Amiranashvili, Tamaz, Ehlke, Moritz, Lamecker, Hans, Lehnert, Sebastian, Lirio, Marilia, Olaguer, Nicolás Pérez de, Ramm, Heiko, Sahu, Manish, Tack, Alexander, Zachow, Stefan, Jiang, Tao, Ma, Xinjun, Angerman, Christoph, Wang, Xin, Brown, Kevin, Kirszenberg, Alexandre, Puybareau, Élodie, Chen, Di, Bai, Yiwei, Rapazzo, Brandon H., Yeah, Timyoas, Zhang, Amber, Xu, Shangliang, Hou, Feng, He, Zhiqiang, Zeng, Chan, Xiangshang, Zheng, Liming, Xu, Netherton, Tucker J., Mumme, Raymond P., Court, Laurence E., Huang, Zixun, He, Chenhang, Wang, Li-Wen, Ling, Sai Ho, Huỳnh, Lê Duy, Boutry, Nicolas, Jakubicek, Roman, Chmelik, Jiri, Mulay, Supriti, Sivaprakasam, Mohanasankar, Paetzold, Johannes C., Shit, Suprosanna, Ezhov, Ivan, Wiestler, Benedikt, Glocker, Ben, Valentinitsch, Alexander, Rempfler, Markus, Menze, Björn H., Kirschke, Jan S.

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Shape-Aware Complementary-Task Learning for Multi-organ Segmentation von Navarro, Fernando, Shit, Suprosanna, Ezhov, Ivan, Paetzold, Johannes, Gafita, Andrei, Peeken, Jan C., Combs, Stephanie E., Menze, Bjoern H.

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A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images von Tetteh, Giles, Navarro, Fernando, Meier, Raphael, Kaesmacher, Johannes, Paetzold, Johannes C, Kirschke, Jan S, Zimmer, Claus, Wiest, Roland, Menze, Bjoern H

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An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset von Payette, Kelly, de Dumast, Priscille, Kebiri, Hamza, Ezhov, Ivan, Paetzold, Johannes C., Shit, Suprosanna, Iqbal, Asim, Khan, Romesa, Kottke, Raimund, Grehten, Patrice, Ji, Hui, Lanczi, Levente, Nagy, Marianna, Beresova, Monika, Nguyen, Thi Dao, Natalucci, Giancarlo, Karayannis, Theofanis, Menze, Bjoern, Bach Cuadra, Meritxell, Jakab, Andras

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Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations von Kreitner, Linus, Paetzold, Johannes C., Rauch, Nikolaus, Chen, Chen, Hagag, Ahmed M., Fayed, Alaa E., Sivaprasad, Sobha, Rausch, Sebastian, Weichsel, Julian, Menze, Bjoern H., Harders, Matthias, Knier, Benjamin, Rueckert, Daniel, Menten, Martin J.

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Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite von Shekhar, Ankit, Chen, Jia, Paetzold, Johannes C, Dietrich, Florian, Zhao, Xinxu, Bhattacharjee, Shrutilipi, Ruisinger, Veronika, Wofsy, Steven C

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Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling von Ezhov, Ivan, Scibilia, Kevin, Franitza, Katharina, Steinbauer, Felix, Shit, Suprosanna, Zimmer, Lucas, Lipkova, Jana, Kofler, Florian, Paetzold, Johannes C., Canalini, Luca, Waldmannstetter, Diana, Menten, Martin J., Metz, Marie, Wiestler, Benedikt, Menze, Bjoern

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Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models von Ezhov, Ivan, Mot, Tudor, Shit, Suprosanna, Lipkova, Jana, Paetzold, Johannes C., Kofler, Florian, Pellegrini, Chantal, Kollovieh, Marcel, Navarro, Fernando, Li, Hongwei, Metz, Marie, Wiestler, Benedikt, Menze, Bjoern

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SRflow: Deep learning based super-resolution of 4D-flow MRI data von Shit, Suprosanna, Zimmermann, Judith, Ezhov, Ivan, Paetzold, Johannes C., Sanches, Augusto F., Pirkl, Carolin, Menze, Bjoern H.

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Machine learning analysis of whole mouse brain vasculature von Todorov, Mihail Ivilinov, Paetzold, Johannes Christian, Schoppe, Oliver, Tetteh, Giles, Shit, Suprosanna, Efremov, Velizar, Todorov-Völgyi, Katalin, Düring, Marco, Dichgans, Martin, Piraud, Marie, Menze, Bjoern, Ertürk, Ali

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Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers von He, Hailong, Paetzold, Johannes C., Borner, Nils, Riedel, Erik, Gerl, Stefan, Schneider, Simon, Fisher, Chiara, Ezhov, Ivan, Shit, Suprosanna, Li, Hongwei, Ruckert, Daniel, Aguirre, Juan, Biedermann, Tilo, Darsow, Ulf, Menze, Bjoern, Ntziachristos, Vasilis

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Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework von Jones, Taylor S, Franklin, Jonathan E, Chen, Jia, Dietrich, Florian, Hajny, Kristian D, Paetzold, Johannes C, Wenzel, Adrian, Gately, Conor, Gottlieb, Elaine, Parker, Harrison, Dubey, Manvendra, Hase, Frank, Shepson, Paul B, Mielke, Levi H, Wofsy, Steven C

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Generating synthetic high-resolution spinal STIR and T1w images from T2w FSE and low-resolution axial Dixon von Graf, Robert, Platzek, Paul-Sören, Riedel, Evamaria Olga, Kim, Su Hwan, Lenhart, Nicolas, Ramschütz, Constanze, Paprottka, Karolin Johanna, Kertels, Olivia Ruriko, Möller, Hendrik Kristian, Atad, Matan, Bülow, Robin, Werner, Nicole, Völzke, Henry, Schmidt, Carsten Oliver, Wiestler, Benedikt, Paetzold, Johannes C, Rueckert, Daniel, Kirschke, Jan Stefan

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Retinal vasculature of different diameters and plexuses exhibit distinct vulnerability in varying severity of diabetic retinopathy von Fayed, Alaa E., Menten, Martin J., Kreitner, Linus, Paetzold, Johannes C., Rueckert, Daniel, Bassily, Sherry M., Fikry, Ramy R., Hagag, Ahmed M., Sivaprasad, Sobha

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Robust, Primitive, and Unsupervised Quality Estimation for Segmentation Ensembles von Kofler, Florian, Ezhov, Ivan, Fidon, Lucas, Pirkl, Carolin M, Paetzold, Johannes C, Burian, Egon, Pati, Sarthak, El Husseini, Malek, Navarro, Fernando, Shit, Suprosanna, Kirschke, Jan, Bakas, Spyridon, Zimmer, Claus, Wiestler, Benedikt, Menze, Bjoern H

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Simplifying deep learning to enhance accessibility of large-scale 3D brain imaging analysis

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FedPIDAvg: A PID Controller Inspired Aggregation Method for Federated Learning von Mächler, Leon, Ezhov, Ivan, Shit, Suprosanna, Paetzold, Johannes C.

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Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results von Mueller, Tamara T., Usynin, Dmitrii, Paetzold, Johannes C., Braren, Rickmer, Rueckert, Daniel, Kaissis, Georgios

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