Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter by Ahmad, A., Akbar, S., Akchurin, N., Al Kadhim, A., Aydilek, O., Bakshi, A., Beaujean, F., Belloni, A., Besancon, M., Bubanja, I., Buchot Perraguin, A., Caregari, S., Cheung, H., Coco Mendez, S., Dadazhanova, O., Davignon, O., de Barbaro, P., De Wit, A., Dittmann, J., Dragicevic, M., Dubinchik, B., Erkmen, B., Fedar, Y.E., Garcia-Bellido, A., Gazi, L., Gecse, Z., Gill, K., Goettlicher, P., Golunov, A., Guerrero, D., Guilloux, F., Guo, J., Hacisahinoglu, B., Heering, A.H., Hirschauer, J., Hsieh, H., Hsu, T., Jackson, W.J., Jordano, P.P., Kaluzinska, O., Kamble, S., Kaminskiy, A., Kanemura, M., Kapsiak, C., Kim, R.S., Kodali, K.R., Kristic, A., Kumar, M., Kunori, S., Kuo, C., Kurenkov, A., Le Dortz, O., Lektauers, A., Lelas, D., Li, Y., Liang, Z., Lincoln, D., Lohezic, V., Loiseau, T., Mahon, D., Mallios, S., Mestvirishvili, A., Mohanty, G.B., Moortgat, F., Musienko, Y., Nurdan, K., Pastika, J., Paus, C., Pedro, K., Perego, A., Petrilli, A., Popov, V., Qu, H., Quast, T., Quiroga Trivio, A., Revering, M., Rose, A., Rothman, S., Rumerio, P., Ryjov, V., Sakarya, U., Sarkisla, M.A., Sculac, A., Seez, C., Sefkow, F., Shelake, M., Simsek, C., Strobbe, N., Tanay, K., Thomas, R., Usai, E., Vijay, A., Virdee, T., Walter, D., Wang, C., Wilmot, D., Wilson, J., Yu, T., Yusuff, I., Zhong, J.

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Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter by Akchurin, N, Akgun, B, Akpinar, R O, Aktas, E, Bainbridge, R, Bakshi, A, Bam, B, Barney, D, Bayraktar, O, Beaudette, F, Blinov, P, Bodek, A, Bonnemaison, A, Bouyjou, F, Brennan, L, Bunin, P, Callier, S, Candemir, Y B, Cappati, A, Cauchois, A, Ceard, L, Chen, J A, Chen, Y, Cheung, H, Chhikara, J, Chiusi, M, Clement, E, Cummings, G, Curtis, E M, Dadazhanova, O, Davignon, O, De La Taille, C, Debbins, P, Defranchis, M M, Erkmen, B, Ertorer, E Y, B A Fontana Santos Alves, Gecse, Z, Goettlicher, P, Gonultas, B, Grummer, A, Guilloux, F, Guo, K, Guler, E Gurpinar, Hatakeyama, K, Heering, A H, Hinzmann, A, Hitlin, D, Hou, X, Howard, A, Howe, C, Hsieh, H, Hua, H, Iren, E, Jain, S, Jordano, P P, Kaadze, K, Kamble, S, Karjavine, V, Khudiakov, A, Kim, R S, Krüger, K, Kulis, S, Kumar, M, Kunori, S, Kyre, S, Langford, J, Leon, M, Liang, Z, Liao, H, Lin, Z, Lobanov, A, Malakhov, A, Martinez, G, Neutelings, I, Onel, Y, Pastika, J, Pekic, V, Quiroga Trivio, A, Revering, M, Rout, P K, Sergeychik, V, Sharma, R, Silva, P, Sirasva, B K, Soudais, G, Swain, K, Tanay, K, Tatli, T, Thomas, R, Toms, M, Troska, J, Tsionou, D, Tsipolitis, G, Vernazza, E, Wang, X, Wayne, M, Wickwire, R, T Yu, YushmanoV, I

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Immediate pericardial protamine administration in acute pericardial tamponade by Candemir, B, Kuru, B, Ersoy, I, Atan, S, Yamanturk, Y Y, Izci, I C, Beton, O

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Endocarditis-TR: diagnosis, treatment and prognosis of the infective endocarditis patients admitting tertiary centers of Turkey by Calik, A N, Ozluk, O A, Karatas, M B, Canga, Y, Eren, S, Ayhan, G, Akdeniz, A, Palice, A, Candemir, A, Akyuz, S, Zoghi, M, Kozan, O

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Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information by Kim, Jongwoo, Candemir, Sema, Chew, Emily Y., Thoma, George R.

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