Computer-Aided Detection for Pancreatic Cancer Diagnosis: Radiological Challenges and Future Directions von Ramaekers, Mark, Viviers, Christiaan G A, Janssen, Boris V, Hellström, Terese A E, Ewals, Lotte, van der Wulp, Kasper, Nederend, Joost, Jacobs, Igor, Pluyter, Jon R, Mavroeidis, Dimitrios, van der Sommen, Fons, Besselink, Marc G, Luyer, Misha D P

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Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging von Amaan Valiuddin, M. M., Viviers, Christiaan G. A., Van Sloun, Ruud J. G., De With, Peter H. N., Sommen, Fons van der

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Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries von Viviers, Christiaan G. A., Filatova, Lena, Termeer, Maurice, de With, Peter H. N., van der Sommen, Fons

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Improved Pancreatic Cancer Detection and Localization on CT Scans: A Computer-Aided Detection Model Utilizing Secondary Features von Ramaekers, Mark, Viviers, Christiaan G A, Hellström, Terese A E, Ewals, Lotte J S, Tasios, Nick, Jacobs, Igor, Nederend, Joost, Sommen, Fons van der, Luyer, Misha D P

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Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models von Okel, Sanne E., Viviers, Christiaan G. A., Ramaekers, Mark, Hellström, Terese A. E., Tasios, Nick, Mavroeidis, Dimitrios, Pluyter, Jon, Jacobs, Igor, Luyer, Misha, de With, Peter H. N., van der Sommen, Fons

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Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries von Viviers, Christiaan G A, Filatova, Lena, Termeer, Maurice, Peter H N de With, Fons van der Sommen

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Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging von M M Amaan Valiuddin, Viviers, Christiaan G A, Ruud J G van Sloun, Peter H N de With, Fons van der Sommen

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Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging von Abdi, Lemar, Valiuddin, M. M. Amaan, Viviers, Christiaan G. A., de With, Peter H. N., van der Sommen, Fons

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Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features von Viviers, Christiaan G. A., Ramaekers, Mark, de With, Peter H. N., Mavroeidis, Dimitrios, Nederend, Joost, Luyer, Misha, van der Sommen, Fons

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Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows von Valiuddin, M. M. Amaan, Viviers, Christiaan G. A., van Sloun, Ruud J. G., de With, Peter H. N., van der Sommen, Fons

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Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows von Valiuddin, M. M. Amaan, Viviers, Christiaan G. A., van Sloun, Ruud J. G., de With, Peter H. N., der Sommen, Fons van

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Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data von Viviers, Christiaan G. A, Valiuddin, Amaan M. M, de With, Peter H. N, van der Sommen, Fons

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Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray von Viviers, Christiaan G. A, de Bruijn, Joel, Filatova, Lena, de With, Peter H. N, van der Sommen, Fons

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Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows von Valiuddin, M. M. Amaan, Viviers, Christiaan G. A, van Sloun, Ruud J. G, de With, Peter H. N, van der Sommen, Fons

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Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features von Viviers, Christiaan G. A, Ramaekers, Mark, de With, Peter H. N, Mavroeidis, Dimitrios, Nederend, Joost, Luyer, Misha, van der Sommen, Fons

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Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data von Viviers, Christiaan G A, Amaan M M Valiuddin, Peter H N de With, Fons van der Sommen

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Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray von Viviers, Christiaan G A, de Bruijn, Joel, Filatova, Lena, Peter H N de With, Fons van der Sommen

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Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows von M M Amaan Valiuddin, Viviers, Christiaan G A, Ruud J G van Sloun, Peter H N de With, Fons van der Sommen

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Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features von Viviers, Christiaan G A, Ramaekers, Mark, Peter H N de With, Mavroeidis, Dimitrios, Nederend, Joost, Luyer, Misha, Fons van der Sommen

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