Search Results - "Kohl, Simon A. A"

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation by Isensee, Fabian, Jaeger, Paul F., Kohl, Simon A. A., Petersen, Jens, Maier-Hein, Klaus H.

“…Biomedical imaging is a driver of scientific discovery and a core component of medical care and is being stimulated by the field of deep learning. While…”
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Highly accurate protein structure prediction for the human proteome by Tunyasuvunakool, Kathryn, Adler, Jonas, Wu, Zachary, Green, Tim, Zielinski, Michal, Žídek, Augustin, Bridgland, Alex, Cowie, Andrew, Meyer, Clemens, Laydon, Agata, Velankar, Sameer, Kleywegt, Gerard J., Bateman, Alex, Evans, Richard, Pritzel, Alexander, Figurnov, Michael, Ronneberger, Olaf, Bates, Russ, Kohl, Simon A. A., Potapenko, Anna, Ballard, Andrew J., Romera-Paredes, Bernardino, Nikolov, Stanislav, Jain, Rishub, Clancy, Ellen, Reiman, David, Petersen, Stig, Senior, Andrew W., Kavukcuoglu, Koray, Birney, Ewan, Kohli, Pushmeet, Jumper, John, Hassabis, Demis

“…Protein structures can provide invaluable information, both for reasoning about biological processes and for enabling interventions such as structure-based…”
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Applying and improving AlphaFold at CASP14 by Jumper, John, Evans, Richard, Pritzel, Alexander, Green, Tim, Figurnov, Michael, Ronneberger, Olaf, Tunyasuvunakool, Kathryn, Bates, Russ, Žídek, Augustin, Potapenko, Anna, Bridgland, Alex, Meyer, Clemens, Kohl, Simon A. A., Ballard, Andrew J., Cowie, Andrew, Romera‐Paredes, Bernardino, Nikolov, Stanislav, Jain, Rishub, Adler, Jonas, Back, Trevor, Petersen, Stig, Reiman, David, Clancy, Ellen, Zielinski, Michal, Steinegger, Martin, Pacholska, Michalina, Berghammer, Tamas, Silver, David, Vinyals, Oriol, Senior, Andrew W., Kavukcuoglu, Koray, Kohli, Pushmeet, Hassabis, Demis

“…We describe the operation and improvement of AlphaFold, the system that was entered by the team AlphaFold2 to the “human” category in the 14th Critical…”
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Highly accurate protein structure prediction with AlphaFold by Jumper, John, Evans, Richard, Pritzel, Alexander, Green, Tim, Figurnov, Michael, Ronneberger, Olaf, Tunyasuvunakool, Kathryn, Bates, Russ, Žídek, Augustin, Potapenko, Anna, Bridgland, Alex, Meyer, Clemens, Kohl, Simon A. A., Ballard, Andrew J., Cowie, Andrew, Romera-Paredes, Bernardino, Nikolov, Stanislav, Jain, Rishub, Adler, Jonas, Back, Trevor, Petersen, Stig, Reiman, David, Clancy, Ellen, Zielinski, Michal, Steinegger, Martin, Pacholska, Michalina, Berghammer, Tamas, Bodenstein, Sebastian, Silver, David, Vinyals, Oriol, Senior, Andrew W., Kavukcuoglu, Koray, Kohli, Pushmeet, Hassabis, Demis

“…Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous…”
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Shallow-impurity-related binding energy and linear optical absorption in ring-shaped quantum dots and quantum-well wires under applied electric field by Kohl, Simon A. A., Restrepo, R. L., Mora-Ramos, M. E., Duque, C. A.

“…The electronic states of two‐dimensional (2D) semiconductor quantum wells and quantum wires of disk‐ and ring‐like geometries, under the application of lateral…”
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Automated Design of Deep Learning Methods for Biomedical Image Segmentation by Isensee, Fabian, Jäger, Paul F, Kohl, Simon A. A, Petersen, Jens, Maier-Hein, Klaus H

“…Nature Methods (2020) Biomedical imaging is a driver of scientific discovery and core component of medical care, currently stimulated by the field of deep…”
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De novo design of high-affinity protein binders with AlphaProteo by Zambaldi, Vinicius, La, David, Chu, Alexander E, Patani, Harshnira, Danson, Amy E, Kwan, Tristan O. C, Frerix, Thomas, Schneider, Rosalia G, Saxton, David, Thillaisundaram, Ashok, Wu, Zachary, Moraes, Isabel, Lange, Oskar, Papa, Eliseo, Stanton, Gabriella, Martin, Victor, Singh, Sukhdeep, Wong, Lai H, Bates, Russ, Kohl, Simon A, Abramson, Josh, Senior, Andrew W, Alguel, Yilmaz, Wu, Mary Y, Aspalter, Irene M, Bentley, Katie, Bauer, David L. V, Cherepanov, Peter, Hassabis, Demis, Kohli, Pushmeet, Fergus, Rob, Wang, Jue

“…Computational design of protein-binding proteins is a fundamental capability with broad utility in biomedical research and biotechnology. Recent methods have…”
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A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients by Zimmerer, David, Petersen, Jens, Kohl, Simon A. A, Maier-Hein, Klaus H

“…Through training on unlabeled data, anomaly detection has the potential to impact computer-aided diagnosis by outlining suspicious regions. Previous work on…”
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Reg R-CNN: Lesion Detection and Grading under Noisy Labels by Ramien, Gregor N, Jaeger, Paul F, Kohl, Simon A. A, Maier-Hein, Klaus H

“…For the task of concurrently detecting and categorizing objects, the medical imaging community commonly adopts methods developed on natural images. Current…”
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Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection by Zimmerer, David, Kohl, Simon A. A, Petersen, Jens, Isensee, Fabian, Maier-Hein, Klaus H

“…Unsupervised learning can leverage large-scale data sources without the need for annotations. In this context, deep learning-based auto encoders have shown…”
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Deep Probabilistic Modeling of Glioma Growth by Petersen, Jens, Jäger, Paul F, Isensee, Fabian, Kohl, Simon A. A, Neuberger, Ulf, Wick, Wolfgang, Debus, Jürgen, Heiland, Sabine, Bendszus, Martin, Kickingereder, Philipp, Maier-Hein, Klaus H

“…Existing approaches to modeling the dynamics of brain tumor growth, specifically glioma, employ biologically inspired models of cell diffusion, using image…”
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A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities by Kohl, Simon A. A, Romera-Paredes, Bernardino, Maier-Hein, Klaus H, Rezende, Danilo Jimenez, Eslami, S. M. Ali, Kohli, Pushmeet, Zisserman, Andrew, Ronneberger, Olaf

“…Medical imaging only indirectly measures the molecular identity of the tissue within each voxel, which often produces only ambiguous image evidence for target…”
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Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection by Jaeger, Paul F, Kohl, Simon A. A, Bickelhaupt, Sebastian, Isensee, Fabian, Kuder, Tristan Anselm, Schlemmer, Heinz-Peter, Maier-Hein, Klaus H

“…Neruips ML4H Workshop 2019 PLMR The task of localizing and categorizing objects in medical images often remains formulated as a semantic segmentation problem…”
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A Probabilistic U-Net for Segmentation of Ambiguous Images by Kohl, Simon A. A, Romera-Paredes, Bernardino, Meyer, Clemens, De Fauw, Jeffrey, Ledsam, Joseph R, Maier-Hein, Klaus H, Eslami, S. M. Ali, Rezende, Danilo Jimenez, Ronneberger, Olaf

“…Many real-world vision problems suffer from inherent ambiguities. In clinical applications for example, it might not be clear from a CT scan alone which…”
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