Supervised learning in medical image registration von Sokooti, H.

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Quantitative error prediction of medical image registration using regression forests von Sokooti, H, Saygili, G, Glocker, B, Lelieveldt, BPF, Staring, M

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Accuracy Estimation for Medical Image Registration Using Regression Forests von Sokooti, H, Saygili, G, Glocker, B, Lelieveldt, BPF, Staring, M

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Hierarchical prediction of registration misalignment using a convolutional LSTM: application to chest CT scans von Sokooti, H., Yousefi, S., Elmahdy, M.S., Lelieveldt, B.P.F., Staring, M.

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Esophageal tumor segmentation in CT images using a Dilated Dense Attention Unet (DDAUnet) von Yousefi, S., Sokooti, H., Elmahdy, M.S., Lips, I.M., Shalmani, M.T.M., Zinkstok, R.T., Dankers, F.J.W.M., Staring, M.

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Joint registration and segmentation via multi-task learning for adaptive radiotherapy of prostate cancer von Elmahdy, M.S., Beljaards, L., Yousefi, S., Sokooti, H., Verbeek, F., Heide, U.A. van der, Staring, M.

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Joint registration and segmentation via multi-task learning for adaptive radiotherapy of prostate cancer von Elmahdy, M.S., Beljaards, L., Yousefi, S., Sokooti, H., Verbeek, F.J., Heiden, U.A. van der

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Implications of coronary calcification on the assessment of plaque pathology: a comparison of computed tomography and multimodality intravascular imaging von Yap, Nathan Angelo Lecaros, Ramasamy, Anantharaman, Tanboga, Ibrahim Halil, He, Xingwei, Cap, Murat, Bajaj, Retesh, Karaduman, Medeni, Jain, Ajay, Kitslaar, Pieter, Broersen, Alexander, Zhang, Xiaotong, Sokooti, Hessam, Reiber, Johan H C, Dijkstra, Jouke, Ozkor, Mick, Serruys, Patrick W, Moon, James C, Mathur, Anthony, Baumbach, Andreas, Torii, Ryo, Pugliese, Francesca, Bourantas, Christos V

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OP1 A novel coronary computed tomography angiography deep-learning methodology for coronary atheroma assessment trained using near-infrared spectroscopy-intravascular ultrasound von Ramasamy, Anantharaman, Sokooti, Hessam, Zhang, Xiaotong, Tzorovili, Evangelia, Bajaj, Retesh, Kitslaar, Pieter, Broersen, Alexander, Amersey, Rajiv, Jain, Ajay, Ozkor, Mick, Reiber, Johan HC, Dijkstra, Jouke, Serruys, Patrick W, Torii, Ryo, Moon, James C, Mathur, Anthony, Baumbach, Andreas, Pugliese, Francesca, Bourantas, Christos V

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Efficacy of human experts and an automated segmentation algorithm in quantifying disease pathology in coronary computed tomography angiography: A head-to-head comparison with intra... von Çap, Murat, Ramasamy, Anantharaman, Parasa, Ramya, Tanboga, Ibrahim H., Maung, Soe, Morgan, Kimberley, Yap, Nathan A.L., Abou Gamrah, Mazen, Sokooti, Hessam, Kitslaar, Pieter, Reiber, Johan H.C., Dijkstra, Jouke, Torii, Ryo, Moon, James C., Mathur, Anthony, Baumbach, Andreas, Pugliese, Francesca, Bourantas, Christos V.

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Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy von Elmahdy, Mohamed S., Wolterink, Jelmer M., Sokooti, Hessam, Išgum, Ivana, Staring, Marius

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Novel near-infrared spectroscopy–intravascular ultrasound-based deep-learning methodology for accurate coronary computed tomography plaque quantification and characterization von Ramasamy, Anantharaman, Sokooti, Hessam, Zhang, Xiaotong, Tzorovili, Evangelia, Bajaj, Retesh, Kitslaar, Pieter, Broersen, Alexander, Amersey, Rajiv, Jain, Ajay, Ozkor, Mick, Reiber, Johan H.C, Dijkstra, Jouke, Serruys, Patrick W, Moon, James C, Mathur, Anthony, Baumbach, Andreas, Torii, Ryo, Pugliese, Francesca, Bourantas, Christos V

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Plasma C-Peptide and Risk of Developing Type 2 Diabetes in the General Population von Sokooti, Sara, Kieneker, Lyanne M, Borst, Martin H de, Muller Kobold, Anneke, Kootstra-Ros, Jenny E, Gloerich, Jolein, van Gool, Alain J, Heerspink, Hiddo J Lambers, T Gansevoort, Ron, Dullaart, Robin P F, Bakker, Stephan J L

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Fasting Proinsulin Independently Predicts Incident Type 2 Diabetes in the General Population von Sokooti, Sara, Dam, Wendy A., Szili-Torok, Tamas, Gloerich, Jolein, van Gool, Alain J., Post, Adrian, de Borst, Martin H., Gansevoort, Ron T., Heerspink, Hiddo J. L., Dullaart, Robin P. F., Bakker, Stephan J. L.

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Novel near-infrared spectroscopy-intravascular ultrasound-based deep-learning methodology for accurate coronary computed tomography plaque quantification and characterization von Ramasamy, Anantharaman, Sokooti, Hessam, Zhang, Xiaotong, Tzorovili, Evangelia, Bajaj, Retesh, Kitslaar, Pieter, Broersen, Alexander, Amersey, Rajiv, Jain, Ajay, Ozkor, Mick, Reiber, Johan HC, Dijkstra, Jouke, Serruys, Patrick W, Moon, James C, Mathur, Anthony, Baumbach, Andreas, Torii, Ryo, Pugliese, Francesca, Bourantas, Christos V

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