Deep-Learning System Detects Neoplasia in Patients With Barrett’s Esophagus With Higher Accuracy Than Endoscopists in a Multistep Training and Validation Study With Benchmarking von de Groof, Albert J., Struyvenberg, Maarten R., van der Putten, Joost, van der Sommen, Fons, Fockens, Kiki N., Curvers, Wouter L., Zinger, Sveta, Pouw, Roos E., Coron, Emmanuel, Baldaque-Silva, Francisco, Pech, Oliver, Weusten, Bas, Meining, Alexander, Neuhaus, Horst, Bisschops, Raf, Dent, John, Schoon, Erik J., de With, Peter H., Bergman, Jacques J.

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A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett’s esophagus von Struyvenberg, Maarten R., de Groof, Albert J., van der Putten, Joost, van der Sommen, Fons, Baldaque-Silva, Francisco, Omae, Masami, Pouw, Roos, Bisschops, Raf, Vieth, Michael, Schoon, Erik J., Curvers, Wouter L., de With, Peter H., Bergman, Jacques J.

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Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach von Manni, Francesca, van der Sommen, Fons, Fabelo, Himar, Zinger, Svitlana, Shan, Caifeng, Edström, Erik, Elmi-Terander, Adrian, Ortega, Samuel, Marrero Callicó, Gustavo, de With, Peter H N

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Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy von den Boer, R. B., Jaspers, T. J. M., de Jongh, C., Pluim, J. P. W., van der Sommen, F., Boers, T., van Hillegersberg, R., Van Eijnatten, M. A. J. M., Ruurda, J. P.

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Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery von Manni, Francesca, Elmi-Terander, Adrian, Burström, Gustav, Persson, Oscar, Edström, Erik, Holthuizen, Ronald, Shan, Caifeng, Zinger, Svitlana, van der Sommen, Fons, de With, Peter H N

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Rotations in discrete Clifford analysis von De Ridder, H., Raeymaekers, T., Sommen, F.

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Improved Barrett's neoplasia detection using computer-assisted multiframe analysis of volumetric laser endomicroscopy von Struyvenberg, M R, van der Sommen, F, Swager, A F, de Groof, A J, Rikos, A, Schoon, E J, Bergman, J J, de With, P H N, Curvers, W L

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Reproducing Kernels for Polynomial Null-Solutions of Dirac Operators von De Bie, H., Sommen, F., Wutzig, M.

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Hyperspectral Imaging for Skin Feature Detection: Advances in Markerless Tracking for Spine Surgery von Manni, Francesca, van der Sommen, Fons, Zinger, Svitlana, Shan, Caifeng, Holthuizen, Ronald, Lai, Marco, Bustrom, Gustav, Hoveling, Richelle J.M, Edstrom, Erik, Elmi-Terander, Adrian, de With, Peter H.N

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Spherical harmonics and integration in superspace von De Bie, H, Sommen, F

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Spherical harmonics and integration in superspace: II von De Bie, H, Eelbode, D, Sommen, F

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q-deformed harmonic and Clifford analysis and the q-Hermite and Laguerre polynomials von Coulembier, K, Sommen, F

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Endoscopy-Driven Pretraining for Classification of Dysplasia in Barrett’s Esophagus with Endoscopic Narrow-Band Imaging Zoom Videos von van der Putten, Joost, Struyvenberg, Maarten, de Groof, Jeroen, Curvers, Wouter, Schoon, Erik, Baldaque-Silva, Francisco, Bergman, Jacques, van der Sommen, Fons, de With, Peter H.N

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Orthosymplectically invariant functions in superspace von Coulembier, K., De Bie, H., Sommen, F.

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Integration in superspace using distribution theory von Coulembier, K, Bie, H De, Sommen, F

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Supportive automatic annotation of early esophageal cancer using local gabor and color features von van der Sommen, F., Zinger, S., Schoon, E.J., de With, P.H.N.

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Fundamental solutions for the super Laplace and Dirac operators and all their natural powers von De Bie, H., Sommen, F.

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A Clifford analysis approach to superspace von De Bie, H., Sommen, F.

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Haar Wavelets is a Clifford Algebra von Sommen, F

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Closed form of the Fourier–Borel Kernel in the Framework of Clifford Analysis von De Schepper, N., Sommen, F.

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