MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Autor: Li, Jianning, Zhou, Zongwei, Yang, Jiancheng, Pepe, Antonio, Gsaxner, Christina, Luijten, Gijs, Qu, Chongyu, Zhang, Tiezheng, Chen, Xiaoxi, Li, Wenxuan, Wodzinski, Marek, Friedrich, Paul, Xie, Kangxian, Jin, Yuan, Ambigapathy, Narmada, Nasca, Enrico, Solak, Naida, Melito, Gian Marco, Vu, Viet Duc, Memon, Afaque R., Schlachta, Christopher, De Ribaupierre, Sandrine, Patel, Rajnikant, Eagleson, Roy, Chen, Xiaojun, Mächler, Heinrich, Kirschke, Jan Stefan, de la Rosa, Ezequiel, Christ, Patrick Ferdinand, Li, Hongwei Bran, Ellis, David G., Aizenberg, Michele R., Gatidis, Sergios, Küstner, Thomas, Shusharina, Nadya, Heller, Nicholas, Andrearczyk, Vincent, Depeursinge, Adrien, Hatt, Mathieu, Sekuboyina, Anjany, Löffler, Maximilian, Liebl, Hans, Dorent, Reuben, Vercauteren, Tom, Shapey, Jonathan, Kujawa, Aaron, Cornelissen, Stefan, Langenhuizen, Patrick, Ben-Hamadou, Achraf, Rekik, Ahmed, Pujades, Sergi, Boyer, Edmond, Bolelli, Federico, Grana, Costantino, Lumetti, Luca, Salehi, Hamidreza, Ma, Jun, Zhang, Yao, Gharleghi, Ramtin, Beier, Susann, Sowmya, Arcot, Garza-Villarreal, Eduardo A., Balducci, Thania, Angeles-Valdez, Diego, Souza, Roberto, Rittner, Leticia, Frayne, Richard, Ji, Yuanfeng, Ferrari, Vincenzo, Chatterjee, Soumick, Dubost, Florian, Schreiber, Stefanie, Mattern, Hendrik, Speck, Oliver, Haehn, Daniel, John, Christoph, Nürnberger, Andreas, Pedrosa, João, Ferreira, Carlos, Aresta, Guilherme, Cunha, António, Campilho, Aurélio, Suter, Yannick, Garcia, Jose, Lalande, Alain, Vandenbossche, Vicky, Van Oevelen, Aline, Duquesne, Kate, Mekhzoum, Hamza, Vandemeulebroucke, Jef, Audenaert, Emmanuel, Krebs, Claudia, van Leeuwen, Timo, Vereecke, Evie, Heidemeyer, Hauke, Röhrig, Rainer, Hölzle, Frank, Badeli, Vahid, Krieger, Kathrin, Gunzer, Matthias, Chen, Jianxu, van Meegdenburg, Timo, Dada, Amin, Balzer, Miriam, Fragemann, Jana, Jonske, Frederic, Rempe, Moritz, Malorodov, Stanislav, Bahnsen, Fin H., Seibold, Constantin, Jaus, Alexander, Marinov, Zdravko, Jaeger, Paul F., Stiefelhagen, Rainer, Santos, Ana Sofia, Lindo, Mariana, Ferreira, André, Alves, Victor, Kamp, Michael, Abourayya, Amr, Nensa, Felix, Hörst, Fabian, Brehmer, Alexander, Heine, Lukas, Hanusrichter, Yannik, Weßling, Martin, Dudda, Marcel, Podleska, Lars E., Fink, Matthias A., Keyl, Julius, Tserpes, Konstantinos, Kim, Moon-Sung, Elhabian, Shireen, Lamecker, Hans, Zukić, Dženan, Paniagua, Beatriz, Wachinger, Christian, Urschler, Martin, Duong, Luc, Wasserthal, Jakob, Hoyer, Peter F., Basu, Oliver, Maal, Thomas, Witjes, Max J. H., Schiele, Gregor, Chang, Ti-chiun, Ahmadi, Seyed-Ahmad, Luo, Ping, Menze, Bjoern, Reyes, Mauricio, Deserno, Thomas M., Davatzikos, Christos, Puladi, Behrus, Fua, Pascal, Yuille, Alan L., Kleesiek, Jens, Egger, Jan

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit s

Externí odkaz: http://arxiv.org/abs/2308.16139

THE RELATIONSHIP BETWEEN SEATING POSITION IN THE CLASSROOM AND LEARNING OUTCOMES IN THE COURSE 'COMPUTER NETWORKS'

Autor: Vu Viet Dung, Mai Van Hoan, Do Dinh Luc

Publikováno v: Tạp chí Khoa học, Vol 53, Iss 2C, Pp 65-73 (2024)

The paper investigates the correlation between seating positions in the classroom and academic performance in the subject of Computer Networks, specifically focusing on students from the Faculty of Information Technology at Thai Nguyen University

Externí odkaz: https://doaj.org/article/601f0b0c946d46c982f1337ccca7b8c0

Bank risk analysis with machine learning

Autor: Vu, Viet, Farah, Mariaguadaloppe

Nowadays, the time and resources needed to get an accurate estima-tion of a client’s ability to pay back a loan has gone up. With theamount of data complexity it involves to do the credit risk analysis, the machine learning technique has been used

Externí odkaz: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44954

Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention

Autor: Sakong, Darnbi, Vu, Viet Hung, Huynh, Thanh Trung, Nguyen, Phi Le, Yin, Hongzhi, Nguyen, Quoc Viet Hung, Nguyen, Thanh Tam

Publikováno v: In Information Sciences October 2024 680

Anopheles diversity, biting behaviour and transmission potential in forest and farm environments of Gia Lai province, Vietnam

Autor: Nguyen Van Dung, Nguyen Quang Thieu, Hoang Dinh Canh, Bui Le Duy, Vu Viet Hung, Nguyen Thi Hong Ngoc, Nguyen Vu Tuyet Mai, Ngo Thi Van Anh, Le Duy Son, Win Han Oo, Win Htike, May Chan Oo, Naw Hkawng Galau, Kaung Myat Thu, Aung Khine Zaw, Ei Phyu Htwe, Julia C. Cutts, Ellen A. Kearney, Bangyuan Wang, Paul A. Agius, Freya J. I. Fowkes, Katherine O’Flaherty

Publikováno v: Malaria Journal, Vol 22, Iss 1, Pp 1-12 (2023)

Abstract Background Despite recent reductions in Vietnam, malaria transmission persists in some areas in forests and farmlands where a high density of Anopheles mosquitoes relative to other environments occurs. To inform effective malaria control mea

Externí odkaz: https://doaj.org/article/35624f3610d64e27ae6117b58380164a