Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Hamamci, Ibrahim Ethem"'
Autor:
Hamamci, Ibrahim Ethem, Er, Sezgin, Almas, Furkan, Simsek, Ayse Gulnihan, Esirgun, Sevval Nil, Dogan, Irem, Dasdelen, Muhammed Furkan, Wittmann, Bastian, Simsar, Enis, Simsar, Mehmet, Erdemir, Emine Bensu, Alanbay, Abdullah, Sekuboyina, Anjany, Lafci, Berkan, Ozdemir, Mehmet K., Menze, Bjoern
A major challenge in computational research in 3D medical imaging is the lack of comprehensive datasets. Addressing this issue, our study introduces CT-RATE, the first 3D medical imaging dataset that pairs images with textual reports. CT-RATE consist
Externí odkaz:
http://arxiv.org/abs/2403.17834
Medical imaging plays a crucial role in diagnosis, with radiology reports serving as vital documentation. Automating report generation has emerged as a critical need to alleviate the workload of radiologists. While machine learning has facilitated re
Externí odkaz:
http://arxiv.org/abs/2403.06801
Autor:
Yang, Kaiyuan, Musio, Fabio, Ma, Yihui, Juchler, Norman, Paetzold, Johannes C., Al-Maskari, Rami, Höher, Luciano, Li, Hongwei Bran, Hamamci, Ibrahim Ethem, Sekuboyina, Anjany, Shit, Suprosanna, Huang, Houjing, Prabhakar, Chinmay, de la Rosa, Ezequiel, Waldmannstetter, Diana, Kofler, Florian, Navarro, Fernando, Menten, Martin, Ezhov, Ivan, Rueckert, Daniel, Vos, Iris, Ruigrok, Ynte, Velthuis, Birgitta, Kuijf, Hugo, Hämmerli, Julien, Wurster, Catherine, Bijlenga, Philippe, Westphal, Laura, Bisschop, Jeroen, Colombo, Elisa, Baazaoui, Hakim, Makmur, Andrew, Hallinan, James, Wiestler, Bene, Kirschke, Jan S., Wiest, Roland, Montagnon, Emmanuel, Letourneau-Guillon, Laurent, Galdran, Adrian, Galati, Francesco, Falcetta, Daniele, Zuluaga, Maria A., Lin, Chaolong, Zhao, Haoran, Zhang, Zehan, Ra, Sinyoung, Hwang, Jongyun, Park, Hyunjin, Chen, Junqiang, Wodzinski, Marek, Müller, Henning, Shi, Pengcheng, Liu, Wei, Ma, Ting, Yalçin, Cansu, Hamadache, Rachika E., Salvi, Joaquim, Llado, Xavier, Estrada, Uma Maria Lal-Trehan, Abramova, Valeriia, Giancardo, Luca, Oliver, Arnau, Liu, Jialu, Huang, Haibin, Cui, Yue, Lin, Zehang, Liu, Yusheng, Zhu, Shunzhi, Patel, Tatsat R., Tutino, Vincent M., Orouskhani, Maysam, Wang, Huayu, Mossa-Basha, Mahmud, Zhu, Chengcheng, Rokuss, Maximilian R., Kirchhoff, Yannick, Disch, Nico, Holzschuh, Julius, Isensee, Fabian, Maier-Hein, Klaus, Sato, Yuki, Hirsch, Sven, Wegener, Susanne, Menze, Bjoern
The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to affect the risk, severity, and clinical outcome of serious neuro-vascular diseases. However, character
Externí odkaz:
http://arxiv.org/abs/2312.17670
Autor:
Hamamci, Ibrahim Ethem
Glioblastoma is a highly aggressive and lethal form of brain cancer. Magnetic resonance imaging (MRI) plays a significant role in the diagnosis, treatment planning, and follow-up of glioblastoma patients due to its non-invasive and radiation-free nat
Externí odkaz:
http://arxiv.org/abs/2310.07250
Autor:
Hamamci, Ibrahim Ethem, Er, Sezgin, Simsar, Enis, Yuksel, Atif Emre, Gultekin, Sadullah, Ozdemir, Serife Damla, Yang, Kaiyuan, Li, Hongwei Bran, Pati, Sarthak, Stadlinger, Bernd, Mehl, Albert, Gundogar, Mustafa, Menze, Bjoern
Panoramic X-rays are frequently used in dentistry for treatment planning, but their interpretation can be both time-consuming and prone to error. Artificial intelligence (AI) has the potential to aid in the analysis of these X-rays, thereby improving
Externí odkaz:
http://arxiv.org/abs/2305.19112
Autor:
Hamamci, Ibrahim Ethem, Er, Sezgin, Sekuboyina, Anjany, Simsar, Enis, Tezcan, Alperen, Simsek, Ayse Gulnihan, Esirgun, Sevval Nil, Almas, Furkan, Dogan, Irem, Dasdelen, Muhammed Furkan, Prabhakar, Chinmay, Reynaud, Hadrien, Pati, Sarthak, Bluethgen, Christian, Ozdemir, Mehmet Kemal, Menze, Bjoern
GenerateCT, the first approach to generating 3D medical imaging conditioned on free-form medical text prompts, incorporates a text encoder and three key components: a novel causal vision transformer for encoding 3D CT volumes, a text-image transforme
Externí odkaz:
http://arxiv.org/abs/2305.16037
Autor:
Hamamci, Ibrahim Ethem, Er, Sezgin, Simsar, Enis, Sekuboyina, Anjany, Gundogar, Mustafa, Stadlinger, Bernd, Mehl, Albert, Menze, Bjoern
Due to the necessity for precise treatment planning, the use of panoramic X-rays to identify different dental diseases has tremendously increased. Although numerous ML models have been developed for the interpretation of panoramic X-rays, there has n
Externí odkaz:
http://arxiv.org/abs/2303.06500
Autor:
Cakmak, Gulsade Rabia, Hamamci, Ibrahim Ethem, Yilmaz, Mehmet Kursat, Alhajj, Reda, Azboy, Ibrahim, Ozdemir, Mehmet Kemal
The postoperative range of motion is one of the crucial factors indicating the outcome of Total Knee Arthroplasty (TKA). Although the correlation between range of knee flexion and posterior condylar offset (PCO) is controversial in the literature, PC
Externí odkaz:
http://arxiv.org/abs/2204.03120
Autor:
Pati, Sarthak, Thakur, Siddhesh P., Hamamcı, İbrahim Ethem, Baid, Ujjwal, Baheti, Bhakti, Bhalerao, Megh, Güley, Orhun, Mouchtaris, Sofia, Lang, David, Thermos, Spyridon, Gotkowski, Karol, González, Camila, Grenko, Caleb, Getka, Alexander, Edwards, Brandon, Sheller, Micah, Wu, Junwen, Karkada, Deepthi, Panchumarthy, Ravi, Ahluwalia, Vinayak, Zou, Chunrui, Bashyam, Vishnu, Li, Yuemeng, Haghighi, Babak, Chitalia, Rhea, Abousamra, Shahira, Kurc, Tahsin M., Gastounioti, Aimilia, Er, Sezgin, Bergman, Mark, Saltz, Joel H., Fan, Yong, Shah, Prashant, Mukhopadhyay, Anirban, Tsaftaris, Sotirios A., Menze, Bjoern, Davatzikos, Christos, Kontos, Despina, Karargyris, Alexandros, Umeton, Renato, Mattson, Peter, Bakas, Spyridon
Publikováno v:
Commun Eng 2, 23 (2023)
Deep Learning (DL) has the potential to optimize machine learning in both the scientific and clinical communities. However, greater expertise is required to develop DL algorithms, and the variability of implementations hinders their reproducibility,
Externí odkaz:
http://arxiv.org/abs/2103.01006
Autor:
Hamamci, Ibrahim Ethem, Er, Sezgin, Simsar, Enis, Tezcan, Alperen, Simsek, Ayse Gulnihan, Almas, Furkan, Esirgun, Sevval Nil, Reynaud, Hadrien, Pati, Sarthak, Bluethgen, Christian, Menze, Bjoern
Generative modeling has experienced substantial progress in recent years, particularly in text-to-image and text-to-video synthesis. However, the medical field has not yet fully exploited the potential of large-scale foundational models for synthetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d65b5b2b0c2ff9706d9943f0c6f45b6
http://arxiv.org/abs/2305.16037
http://arxiv.org/abs/2305.16037