Search Results - Graphics processing units

Automated classification of brain MRI reports using fine-tuned large language models. by Kanzawa, Jun, Yasaka, Koichiro, Fujita, Nana, Fujiwara, Shin, Abe, Osamu

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SMILEY—assistive application to support social and emotional skills in SPCD individuals. by Chawla, Muskan, Panda, Surya Narayan, Khullar, Vikas

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Choosing the right artificial intelligence solutions for your radiology department: key factors to consider. by Alis, Deniz, Tanyel, Toygar, Meltem, Emine, Seker, Mustafa Ege, Seker, Delal, Karakaş, Hakkı Muammer, Karaarslan, Ercan, Öksüz, İlkay

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Synthetic Low-Energy Monochromatic Image Generation in Single-Energy Computed Tomography System Using a Transformer-Based Deep Learning Model. by Koike, Yuhei, Ohira, Shingo, Kihara, Sayaka, Anetai, Yusuke, Takegawa, Hideki, Nakamura, Satoaki, Miyazaki, Masayoshi, Konishi, Koji, Tanigawa, Noboru

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Artificial achievements. by Kieval, Phillip Hintikka

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YAPAY ZEKA İLE ÜÇ BOYUTLU AKCİĞER SEGMENTASYONU. by Çontu, Burak Baturalp, Sabah, Aslı, Budak, Çetin, Ordu, Hüseyin, Kurtman, Cengiz

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Artificial history? Inquiring ChatGPT on historiography. by Leme Lopes, A. P.

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Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis. by Jiang, Bitao, Bao, Lingling, He, Songqin, Chen, Xiao, Jin, Zhihui, Ye, Yingquan

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Deep learning-based fully automatic Risser stage assessment model using abdominal radiographs. by Hwang, Jae-Yeon, Kim, Yisak, Hwang, Jisun, Suh, Yehyun, Hwang, Sook Min, Lee, Hyeyun, Park, Minsu

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Artificial intelligence in musculoskeletal imaging: realistic clinical applications in the next decade. by Ruitenbeek, Huibert C., Oei, Edwin H. G., Visser, Jacob J., Kijowski, Richard

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Radiomics using non-contrast CT to predict hemorrhagic transformation risk in stroke patients undergoing revascularization. by Heo, JoonNyung, Sim, Yongsik, Kim, Byung Moon, Kim, Dong Joon, Kim, Young Dae, Nam, Hyo Suk, Choi, Yoon Seong, Lee, Seung-Koo, Kim, Eung Yeop, Sohn, Beomseok

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AVD-YOLOv5: a new lightweight network architecture for high-speed aortic valve detection from a new and large echocardiography dataset. by Çakır, Mervenur, Ekinci, Murat, Kablan, Elif Baykal, Şahin, Mürsel

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Intraoperative near infrared functional imaging of rectal cancer using artificial intelligence methods - now and near future state of the art. by Boland, Patrick A., Hardy, N. P., Moynihan, A., McEntee, P. D., Loo, C., Fenlon, H., Cahill, R. A.

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An Integral R-Banded Karyotype Analysis System of Bone Marrow Metaphases Based on Deep Learning. by Jiyue Wang, Chao Xia, Yaling Fan, Lu Jiang, Guang Yang, Zhijun Chen, Jie Yang, Bing Chen

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The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI. by Nakaura, Takeshi, Ito, Rintaro, Ueda, Daiju, Nozaki, Taiki, Fushimi, Yasutaka, Matsui, Yusuke, Yanagawa, Masahiro, Yamada, Akira, Tsuboyama, Takahiro, Fujima, Noriyuki, Tatsugami, Fuminari, Hirata, Kenji, Fujita, Shohei, Kamagata, Koji, Fujioka, Tomoyuki, Kawamura, Mariko, Naganawa, Shinji

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Deep learning for malignancy risk estimation of incidental sub-centimeter pulmonary nodules on CT images. by Zhang, Rui, Wei, Ying, Wang, Denian, Chen, Bojiang, Sun, Huaiqiang, Lei, Yi, Zhou, Qing, Luo, Zhuang, Jiang, Li, Qiu, Rong, Shi, Feng, Li, Weimin

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CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage. by Zhao, Xianjing, Zhou, Bijing, Luo, Yong, Chen, Lei, Zhu, Lequn, Chang, Shixin, Fang, Xiangming, Yao, Zhenwei

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Swiss digital pathology recommendations: results from a Delphi process conducted by the Swiss Digital Pathology Consortium of the Swiss Society of Pathology. by Janowczyk, Andrew, Zlobec, Inti, Walker, Cedric, Berezowska, Sabina, Huschauer, Viola, Tinguely, Marianne, Kupferschmid, Joel, Mallet, Thomas, Merkler, Doron, Kreutzfeldt, Mario, Gasic, Radivoje, Rau, Tilman T., Mazzucchelli, Luca, Eyberg, Isgard, Cathomas, Gieri, Mertz, Kirsten D., Koelzer, Viktor H., Soldini, Davide, Jochum, Wolfram, Rössle, Matthias

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A Deep Learning--Based Approach to Estimate Paneth Cell Granule Area in Celiac Disease. by Alharbi, Ebtihal, Rajaram, Ajay, Côté, Kevin, Farag, Mina, Maleki, Farhad, Zu-Hua Gao, Maedler-Kron, Chelsea, Marcus, Victoria, Fiset, Pierre Olivier

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Revamping Python for an AI World: Mojo has the same syntax as Python, but runs up to 35,000 times faster. by Savage, Neil

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