Cardiac radiomics: An interactive approach for 4D data exploration von Tautz, L, Zhang, H, Hüllebrand, M, Ivantsits, M, Kelle, S, Kuehne, T, Falk, V, Hennemuth, A

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DL-based segmentation of endoscopic scenes for mitral valve repair von Ivantsits, M, Tautz, L, Sündermann, S, Wamala, I, Kempfert, J, Kuehne, T, Falk, V, Hennemuth, A

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Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge von Lalande, Alain, Chen, Zhihao, Pommier, Thibaut, Decourselle, Thomas, Qayyum, Abdul, Salomon, Michel, Ginhac, Dominique, Skandarani, Youssef, Boucher, Arnaud, Brahim, Khawla, de Bruijne, Marleen, Camarasa, Robin, Correia, Teresa M., Feng, Xue, Girum, Kibrom B., Hennemuth, Anja, Huellebrand, Markus, Hussain, Raabid, Ivantsits, Matthias, Ma, Jun, Meyer, Craig, Sharma, Rishabh, Shi, Jixi, Tsekos, Nikolaos V., Varela, Marta, Wang, Xiyue, Yang, Sen, Zhang, Hannu, Zhang, Yichi, Zhou, Yuncheng, Zhuang, Xiahai, Couturier, Raphael, Meriaudeau, Fabrice

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Deep Learning-Based Pulmonary Artery Surface Mesh Generation von Krüger, Nina, Brüning, Jan, Goubergrits, Leonid, Ivantsits, Matthias, Walczak, Lars, Falk, Volkmar, Dreger, Henryk, Kühne, Titus, Hennemuth, Anja

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3D Mitral Valve Surface Reconstruction from 3D TEE via Graph Neural Networks von Ivantsits, Matthias, Pfahringer, Boris, Huellebrand, Markus, Walczak, Lars, Tautz, Lennart, Nemchyna, Olena, Akansel, Serdar, Kempfert, Jörg, Sündermann, Simon, Hennemuth, Anja

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Matching Endoscopic 3D Image Data with 4D Echocardiographic Data for Extended Reality Support in Mitral Valve Repair Surgery von Welz, Juri, Ivantsits, Matthias, Wamala, Isaac, Kempfert, Jörg, Sündermann, Simon, Falk, Volkmar, Hennemuth, Anja

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Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge von Lalande, Alain, Chen, Zhihao, Pommier, Thibaut, Decourselle, Thomas, Qayyum, Abdul, Salomon, Michel, Ginhac, Dominique, Skandarani, Youssef, Boucher, Arnaud, Brahim, Khawla, de Bruijne, Marleen, Camarasa, Robin, Correia, Teresa M, Feng, Xue, Girum, Kibrom B, Hennemuth, Anja, Huellebrand, Markus, Hussain, Raabid, Ivantsits, Matthias, Ma, Jun, Meyer, Craig, Sharma, Rishabh, Shi, Jixi, Tsekos, Nikolaos V, Varela, Marta, Wang, Xiyue, Yang, Sen, Zhang, Hannu, Zhang, Yichi, Zhou, Yuncheng, Zhuang, Xiahai, Couturier, Raphael, Meriaudeau, Fabrice

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Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge von Lalande, Alain, Chen, Zhihao, Pommier, Thibaut, Decourselle, Thomas, Qayyum, Abdul, Salomon, Michel, Ginhac, Dominique, Youssef Skandarani, Boucher, Arnaud, Brahim, Khawla, de Bruijne, Marleen, Camarasa, Robin, Correia, Teresa M, Xue, Feng, Girum, Kibrom B, Hennemuth, Anja, Huellebrand, Markus, Hussain, Raabid, Ivantsits, Matthias, Ma, Jun, Meyer, Craig, Sharma, Rishabh, Shi, Jixi, Tsekos, Nikolaos V, Varela, Marta, Wang, Xiyue, Sen, Yang, Zhang, Hannu, Zhang, Yichi, Zhou, Yuncheng, Zhuang, Xiahai, Couturier, Raphael, Meriaudeau, Fabrice

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