Glaucoma Detection Using Entropy Sampling And Ensemble Learning For Automatic Optic Cup And Disc Segmentation von Zilly, Julian, Buhmann, Joachim M, Mahapatra, Dwarikanath

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SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species von Miladinović, Đorđe, Muheim, Christine, Bauer, Stefan, Spinnler, Andrea, Noain, Daniela, Bandarabadi, Mojtaba, Gallusser, Benjamin, Krummenacher, Gabriel, Baumann, Christian, Adamantidis, Antoine, Brown, Steven A, Buhmann, Joachim M

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Entrack: Probabilistic Spherical Regression with Entropy Regularization for Fiber Tractography von Wegmayr, Viktor, Buhmann, Joachim M.

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Decoding the perception of pain from fMRI using multivariate pattern analysis von Brodersen, Kay H., Wiech, Katja, Lomakina, Ekaterina I., Lin, Chia-shu, Buhmann, Joachim M., Bingel, Ulrike, Ploner, Markus, Stephan, Klaas Enno, Tracey, Irene

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Computational pathology: Challenges and promises for tissue analysis von Fuchs, Thomas J, Buhmann, Joachim M

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Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry von Giesen, Charlotte, Wang, Hao A O, Schapiro, Denis, Zivanovic, Nevena, Jacobs, Andrea, Hattendorf, Bodo, Schüffler, Peter J, Grolimund, Daniel, Buhmann, Joachim M, Brandt, Simone, Varga, Zsuzsanna, Wild, Peter J, Günther, Detlef, Bodenmiller, Bernd

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Regression DCM for fMRI von Frässle, Stefan, Lomakina, Ekaterina I., Razi, Adeel, Friston, Karl J., Buhmann, Joachim M., Stephan, Klaas E.

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A generative model of whole-brain effective connectivity von Frässle, Stefan, Lomakina, Ekaterina I., Kasper, Lars, Manjaly, Zina M., Leff, Alex, Pruessmann, Klaas P., Buhmann, Joachim M., Stephan, Klaas E.

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Generative embedding for model-based classification of fMRI data von Brodersen, Kay H, Schofield, Thomas M, Leff, Alexander P, Ong, Cheng Soon, Lomakina, Ekaterina I, Buhmann, Joachim M, Stephan, Klaas E

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Automatic Human Sleep Stage Scoring Using Deep Neural Networks von Malafeev, Alexander, Laptev, Dmitry, Bauer, Stefan, Omlin, Ximena, Wierzbicka, Aleksandra, Wichniak, Adam, Jernajczyk, Wojciech, Riener, Robert, Buhmann, Joachim, Achermann, Peter

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Protein Identification False Discovery Rates for Very Large Proteomics Data Sets Generated by Tandem Mass Spectrometry von Reiter, Lukas, Claassen, Manfred, Schrimpf, Sabine P., Jovanovic, Marko, Schmidt, Alexander, Buhmann, Joachim M., Hengartner, Michael O., Aebersold, Ruedi

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A unified generation‐registration framework for improved MR‐based CT synthesis in proton therapy von Li, Xia, Bellotti, Renato, Bachtiary, Barbara, Hrbacek, Jan, Weber, Damien C., Lomax, Antony J., Buhmann, Joachim M., Zhang, Ye

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Automatic Detection of Atrial Fibrillation from Single-Lead ECG Using Deep Learning of the Cardiac Cycle von Dubatovka, Alina, Buhmann, Joachim M

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Weakly supervised inference of personalized heart meshes based on echocardiography videos von Laumer, Fabian, Amrani, Mounir, Manduchi, Laura, Beuret, Ami, Rubi, Lena, Dubatovka, Alina, Matter, Christian M., Buhmann, Joachim M.

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Nonparametric Bayesian Image Segmentation von Orbanz, Peter, Buhmann, Joachim M.

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Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography von Corinzia, Luca, Laumer, Fabian, Candreva, Alessandro, Taramasso, Maurizio, Maisano, Francesco, Buhmann, Joachim M.

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Speech Enhancement Using Generative Dictionary Learning von Sigg, C. D., Dikk, T., Buhmann, J. M.

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ChromaX: a fast and scalable breeding program simulator von Younis, Omar G, Turchetta, Matteo, Ariza Suarez, Daniel, Yates, Steven, Studer, Bruno, Athanasiadis, Ioannis N, Krause, Andreas, Buhmann, Joachim M, Corinzia, Luca

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Learning the Compositional Nature of Visual Object Categories for Recognition von Ommer, B., Buhmann, J.M.

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Predicting vital sign deviations during surgery from patient monitoring data: developing and validating single-stream deep learning models von Dubatovka, Alina, Nöthiger, Christoph B., Spahn, Donat R., Buhmann, Joachim M., Roche, Tadzio R., Tscholl, David W.

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