A multimodal zebrafish developmental atlas reveals the state-transition dynamics of late-vertebrate pluripotent axial progenitors

Autor: Lange, Merlin, Granados, Alejandro, VijayKumar, Shruthi, Bragantini, Jordão, Ancheta, Sarah, Kim, Yang-Joon, Santhosh, Sreejith, Borja, Michael, Kobayashi, Hirofumi, McGeever, Erin, Solak, Ahmet Can, Yang, Bin, Zhao, Xiang, Liu, Yang, Detweiler, Angela M., Paul, Sheryl, Theodoro, Ilan, Mekonen, Honey, Charlton, Chris, Lao, Tiger, Banks, Rachel, Xiao, Sheng, Jacobo, Adrian, Balla, Keir, Awayan, Kyle, D’Souza, Samuel, Haase, Robert, Dizeux, Alexandre, Pourquie, Olivier, Gómez-Sjöberg, Rafael, Huber, Greg, Serra, Mattia, Neff, Norma, Pisco, Angela Oliveira, Royer, Loïc A.

Publikováno v: In Cell 14 November 2024 187(23):6742-6759

Analysis and relevance of service reports to extend predictive maintenance of large-scale plants

Autor: Öztürk, Elif, Solak, Ahmet, Bäcker, Dennis, Weiss, Lukas, Wegener, Konrad

Publikováno v: In Procedia CIRP 2022 107:1551-1558

Adrenal Lesion Classification on T1-Weighted Abdomen Images with Convolutional Neural Networks

Autor: SOLAK, Ahmet, CEYLAN, Rahime, BOZKURT, Mustafa Alper, CEBECİ, Hakan, KOPLAY, Mustafa

Publikováno v: Volume: 14, Issue: 3 268-275
International Journal of Engineering Research and Development
Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi

Adrenal lesions are usually discovered incidentally during other health screenings and are usually benign. However, it is vital to take precautions when a malignant adrenal lesion is detected. Especially deep learning models developed in the last ten

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67f27ffcfeee450d8732db2f475c55e2
https://doi.org/10.29137/umagd.1215882

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