Eldridge Mohammadou (1934-2004). Vestiges Biographical Sketch Series Sketch 2

Autor: Hamadou Adama, Thierno Mouctar Bah, Christian Seignobos

Publikováno v: Vestiges: Traces of Record, Vol 5, Pp 63-68 (2019)

Externí odkaz: https://doaj.org/article/5935ff276a6a40bf91ff7767009d2d6d

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

Deep Generative Models for Physiological Signals: A Systematic Literature Review

Autor: Neifar, Nour, Mdhaffar, Afef, Ben-Hamadou, Achraf, Jmaiel, Mohamed

In this paper, we present a systematic literature review on deep generative models for physiological signals, particularly electrocardiogram, electroencephalogram, photoplethysmogram and electromyogram. Compared to the existing review papers, we pres

Externí odkaz: http://arxiv.org/abs/2307.06162

DiffECG: A Versatile Probabilistic Diffusion Model for ECG Signals Synthesis

Autor: Neifar, Nour, Ben-Hamadou, Achraf, Mdhaffar, Afef, Jmaiel, Mohamed

Within cardiovascular disease detection using deep learning applied to ECG signals, the complexities of handling physiological signals have sparked growing interest in leveraging deep generative models for effective data augmentation. In this paper,

Externí odkaz: http://arxiv.org/abs/2306.01875

3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge

Autor: Ben-Hamadou, Achraf, Smaoui, Oussama, Rekik, Ahmed, Pujades, Sergi, Boyer, Edmond, Lim, Hoyeon, Kim, Minchang, Lee, Minkyung, Chung, Minyoung, Shin, Yeong-Gil, Leclercq, Mathieu, Cevidanes, Lucia, Prieto, Juan Carlos, Zhuang, Shaojie, Wei, Guangshun, Cui, Zhiming, Zhou, Yuanfeng, Dascalu, Tudor, Ibragimov, Bulat, Yong, Tae-Hoon, Ahn, Hong-Gi, Kim, Wan, Han, Jae-Hwan, Choi, Byungsun, van Nistelrooij, Niels, Kempers, Steven, Vinayahalingam, Shankeeth, Strippoli, Julien, Thollot, Aurélien, Setbon, Hugo, Trosset, Cyril, Ladroit, Edouard

Teeth localization, segmentation, and labeling from intra-oral 3D scans are essential tasks in modern dentistry to enhance dental diagnostics, treatment planning, and population-based studies on oral health. However, developing automated algorithms f

Externí odkaz: http://arxiv.org/abs/2305.18277