Synthetic CT generation using Zero TE MR for head-and-neck radiotherapy von Lauwers, Iris, Capala, Marta, Kaushik, Sandeep, Rusko, László, Cozzini, Cristina, Kleijnen, Jean-Paul, Wyatt, Jonathan, McCallum, Hazel, Verduijn, Gerda, Wiesinger, Florian, Hernandez-Tamames, Juan, Petit, Steven

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Virtual volume resection using multi-resolution triangular representation of B-spline surfaces von Ruskó, László, Mátéka, Ilona, Kriston, András

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Automatic segmentation of the liver from multi- and single-phase contrast-enhanced CT images von Ruskó, László, Bekes, György, Fidrich, Márta

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Automated liver lesion detection in CT images based on multi-level geometric features von Ruskó, László, Perényi, Ádám

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Magnetic Resonance Imaging–Based Delineation of Organs at Risk in the Head and Neck Region von Paczona, Viktor R., Capala, Marta E., Deák-Karancsi, Borbála, Borzási, Emőke, Együd, Zsófia, Végváry, Zoltán, Kelemen, Gyöngyi, Kószó, Renáta, Ruskó, László, Ferenczi, Lehel, Verduijn, Gerda M., Petit, Steven F., Oláh, Judit, Cserháti, Adrienne, Wiesinger, Florian, Hideghéty, Katalin

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Automatic recognition of anatomical regions in three-dimensional medical images von Toth, Marton, Rusko, Laszlo, Csebfalvi, Balazs

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Subventricular zone volumetric and dosimetric changes during postoperative brain tumor irradiation and its impact on overall survival von Darázs, Barbara, Ruskó, László, Végváry, Zoltán, Ferenczi, Lehel, Dobi, Ágnes, Paczona, Viktor, Varga, Zoltán, Fodor, Emese, Hideghéty, Katalin

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Liver segmentation for contrast-enhanced MR images using partitioned probabilistic model von Ruskó, László, Bekes, György

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A Self-learning Tumor Segmentation Method on DCE-MRI Images von Urbán, Szabolcs, Ruskó, László, Nagy, Antal

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Comprehensive deep learning-based framework for automatic organs-at-risk segmentation in head-and-neck and pelvis for MR-guided radiation therapy planning von Czipczer, Vanda, Kolozsvári, Bernadett, Deák-Karancsi, Borbála, Capala, Marta E., Pearson, Rachel A., Borzási, Emőke, Együd, Zsófia, Gaál, Szilvia, Kelemen, Gyöngyi, Kószó, Renáta, Paczona, Viktor, Végváry, Zoltán, Karancsi, Zsófia, Kékesi, Ádám, Czunyi, Edina, Irmai, Blanka H., Keresnyei, Nóra G., Nagypál, Petra, Czabány, Renáta, Gyalai, Bence, Tass, Bulcsú P., Cziria, Balázs, Cozzini, Cristina, Estkowsky, Lloyd, Ferenczi, Lehel, Frontó, András, Maxwell, Ross, Megyeri, István, Mian, Michael, Tan, Tao, Wyatt, Jonathan, Wiesinger, Florian, Hideghéty, Katalin, McCallum, Hazel, Petit, Steven F., Ruskó, László

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202: Evaluation of foundation models for semi-automated organ delineation in MR images von Koos, Krisztian, Szabo, Eszter, Hakim, Muhammad Luqman, Kiss, Eszter Katalin, Megyeri, István, Ferenczi, Lehel, Ruskó, László

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Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets von Heimann, T., van Ginneken, B., Styner, M.A., Arzhaeva, Y., Aurich, V., Bauer, C., Beck, A., Becker, C., Beichel, R., Bekes, G., Bello, F., Binnig, G., Bischof, H., Bornik, A., Cashman, P., Ying Chi, Cordova, A., Dawant, B.M., Fidrich, M., Furst, J.D., Furukawa, D., Grenacher, L., Hornegger, J., Kainmuller, D., Kitney, R.I., Kobatake, H., Lamecker, H., Lange, T., Jeongjin Lee, Lennon, B., Rui Li, Senhu Li, Meinzer, H.-P., Nemeth, G., Raicu, D.S., Rau, A.-M., van Rikxoort, E.M., Rousson, M., Rusko, L., Saddi, K.A., Schmidt, G., Seghers, D., Shimizu, A., Slagmolen, P., Sorantin, E., Soza, G., Susomboon, R., Waite, J.M., Wimmer, A., Wolf, I.

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Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists von Tan, Tao, Das, Bipul, Soni, Ravi, Fejes, Mate, Yang, Hongxu, Ranjan, Sohan, Szabo, Daniel Attila, Melapudi, Vikram, Shriram, K.S., Agrawal, Utkarsh, Rusko, Laszlo, Herczeg, Zita, Darazs, Barbara, Tegzes, Pal, Ferenczi, Lehel, Mullick, Rakesh, Avinash, Gopal

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2967: A combined automatic MR OAR contouring and synthetic CT solution for prostate MR-only radiotherapy von Wyatt, Jonathan J., Kaushik, Sandeep, Cozzini, Cristina, Kolozsvári, Bernadett, Deák-Karancsi, Borbála, Pearson, Rachel A., Petit, Steven, Capala, Marta, Hernandez-Tamames, Juan A., Hideghéty, Katalin, Maxwell, Ross J., Ruskó, László, Wiesinger, Florian, McCallum, Hazel M.

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Neutron-, gamma- and X-ray three-dimensional computed tomography at the Budapest research reactor site von Balaskó, Márton, Kuba, Attila, Nagy, Antal, Kiss, Zoltán, Rodek, Lajos, Ruskó, László

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Automated liver volumetry in orthotopic liver transplantation using multiphase acquisitions on MDCT von Luciani, Alain, Rusko, Laszlo, Baranes, Laurence, Pichon, Eric, Loze, Blandine, Deux, Jean-François, Laurent, Alexis, Tran-Van-Nhieu, Jeanne, Rahmouni, Alain

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Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19 von Tan, Tao, Das, Bipul, Soni, Ravi, Fejes, Mate, Ranjan, Sohan, Szabo, Daniel Attila, Melapudi, Vikram, Shriram, K. S., Agrawal, Utkarsh, Rusko, Laszlo, Herczeg, Zita, Darazs, Barbara, Tegzes, Pal, Ferenczi, Lehel, Mullick, Rakesh, Avinash, Gopal

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Multi-resolution method for binary tomography von Ruskó, László, Kuba, Attila

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Preliminary studies of discrete tomography in neutron imaging von Kuba, A., Rusko, L., Rodek, L., Kiss, Z.

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MULTIMODALITY IMAGE PROCESSING TECHNIQUES FOR TRAINING IMAGE DATA GENERATION AND USAGE THEREOF FOR DEVELOPING MONO-MODALITY IMAGE INFERENCING MODELS von DARAZS, Barbara, HERCZEG, Zita, DAS, Bipul, SHRIRAM, Krishna Seetharam, RUSKO, László, FEJES, Máté, MELAPUDI, Vikram, MULLICK, Rakesh, SZABO, Dániel Attila, SONI, Ravi, TAN, Tao, AGRAWAL, Utkarsh, RANJAN, Sohan Rashmi, AVINASH, Gopal B

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