Search Results - Graphics processing units

Digital experts for fibromyalgia: A comparative analysis of ChatGPT, Gemini, and DeepSeek in addressing patient questions with focus on readability and medical accuracy. by Cihan, Emine, Şahbaz Pirinççi, Cansu, Altunkaya, Melek, Özkutlu, Özge, Paçacı, Ayşe Beyza

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Minimum variance beamforming combined with covariance matrix-based adaptive weighting for medical ultrasound imaging. by Wang, Yuanguo, Wang, Yadan, Liu, Mingzhou, Lan, Zhengfeng, Zheng, Chichao, Peng, Hu

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Computational Medicine: Past, Present and Future. by Lyu, Lan-qing, Cui, Hong-yan, Shao, Ming-yi, Fu, Yu, Zhao, Rui-xia, Chen, Qiu-ping

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Deepfake Satire and the Possibilities of Synthetic Media. by GLICK, JOSHUA

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Competition and cooperation in artificial intelligence standard setting: Explaining emergent patterns. by von Ingersleben‐Seip, Nora

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Research and clinical application prospects of precision transcranial magnetic stimulation in neuromodulation guided by brain imaging. by ZANG Yu-feng

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Evolving Perspectives on Immune Repertoire Profiling: Challenges and Opportunities in the Era of Long-Read Sequencing. by Smith, Martin A

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3D Modeling Draws on AI: Artificial intelligence can unlock speed and quality improvements in three-dimensional graphics. by Greengard, Samuel

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Deep Learning Accurately Predicts Supraspinatus Pathology on Shoulder Magnetic Resonance Imaging...AOSSM 2023 – American Orthopaedic Society for Sports Medicine Annual Meeting, Jul... by Ingebritsen, Ryan, Grogan, Brian, Cotter, Eric, Baer, Geoffrey, Polce, Evan

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Patient Re-Identification Based on Deep Metric Learning in Trunk Computed Tomography Images Acquired from Devices from Different Vendors. by Ueda, Yasuyuki, Ogawa, Daiki, Ishida, Takayuki

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Weakly supervised deep learning for diagnosis of multiple vertebral compression fractures in CT. by Choi, Euijoon, Park, Doohyun, Son, Geonhui, Bak, Seongwon, Eo, Taejoon, Youn, Daemyung, Hwang, Dosik

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Automatic image segmentation and online survival prediction model of medulloblastoma based on machine learning. by Zhou, Lili, Ji, Qiang, Peng, Hong, Chen, Feng, Zheng, Yi, Jiao, Zishan, Gong, Jian, Li, Wenbin

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Wearable Smart Cardiac Care: Take Vipasyana for Example. by Hsi-Lu CHAO, Sau-Hsuan WU

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Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study. by Liu, Chang, Sun, Min, Arefan, Dooman, Zuley, Margarita, Sumkin, Jules, Wu, Shandong

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Rapid fiber-detection technique by artificial intelligence in phase-contrast microscope images of simulated atmospheric samples. by Yamamoto, Takashi, Iwasaki, Kazuharu, Iida, Yukiko, Yuki, Ken-ichi, Nakaji, Fumihiro, Yamashiro, Hayato, Toyoguchi, Toshiyuki, Terazono, Atsushi

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Diagnosis of skull-base invasion by nasopharyngeal tumors on CT with a deep-learning approach. by Nakagawa, Junichi, Fujima, Noriyuki, Hirata, Kenji, Harada, Taisuke, Wakabayashi, Naoto, Takano, Yuki, Homma, Akihiro, Kano, Satoshi, Minowa, Kazuyuki, Kudo, Kohsuke

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Predicting meningioma grades and pathologic marker expression via deep learning. by Chen, Jiawei, Xue, Yanping, Ren, Leihao, Lv, Kun, Du, Peng, Cheng, Haixia, Sun, Shuchen, Hua, Lingyang, Xie, Qing, Wu, Ruiqi, Gong, Ye

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HIMSS-SIIM Enterprise Imaging Community White Papers: Reflections and Future Directions. by Roth, Christopher J., Petersilge, Cheryl, Clunie, David, Towbin, Alexander J., Cram, Dawn, Primo, Rik, Li, Xin, Berkowitz, Seth J., Barnosky, Victoria, Krupinski, Elizabeth A.

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Multi-Class Deep Learning Model for Detecting Pediatric Distal Forearm Fractures Based on the AO/OTA Classification. by Binh, Le Nguyen, Nhu, Nguyen Thanh, Vy, Vu Pham Thao, Son, Do Le Hoang, Hung, Truong Nguyen Khanh, Bach, Nguyen, Huy, Hoang Quoc, Tuan, Le Van, Le, Nguyen Quoc Khanh, Kang, Jiunn-Horng

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Development and Validation of Deep Learning-Based Automated Detection of Cervical Lymphadenopathy in Patients with Lymphoma for Treatment Response Assessment: A Bi-institutional Fe... by Nam, Yoonho, Kim, Su-Youn, Kim, Kyu-Ah, Kwon, Euna, Lee, Yoo Hyun, Jang, Jinhee, Lee, Min Kyoung, Kim, Jiwoong, Choi, Yangsean

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