Search Results - Graphics processing units

Determining the invasiveness of ground-glass nodules using a 3D multi-task network. by Yu, Ye, Wang, Na, Huang, Ning, Liu, Xinglong, Zheng, Yuanjie, Fu, Yicheng, Li, Xiaoqian, Wu, Huawei, Xu, Jianrong, Cheng, Jiejun

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Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging. by Park, Yae Won, Jun, Yohan, Lee, Yangho, Han, Kyunghwa, An, Chansik, Ahn, Sung Soo, Hwang, Dosik, Lee, Seung-Koo

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Use of quantitative angiographic methods with a data-driven model to evaluate reperfusion status (mTICI) during thrombectomy. by Shiraz Bhurwani, Mohammad Mahdi, Snyder, Kenneth V., Waqas, Muhammad, Mokin, Maxim, Rava, Ryan A., Podgorsak, Alexander R., Chin, Felix, Davies, Jason M., Levy, Elad I., Siddiqui, Adnan H., Ionita, Ciprian N.

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X-ray Dark-Field Imaging (XDFI)—a Promising Tool for 3D Virtual Histopathology. by Shimao, Daisuke, Sunaguchi, Naoki, Yuasa, Tetsuya, Ando, Masami, Mori, Kensaku, Gupta, Rajiv, Ichihara, Shu

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Multi-level Kronecker Convolutional Neural Network (ML-KCNN) for Glioma Segmentation from Multi-modal MRI Volumetric Data. by Ali, Muhammad Junaid, Raza, Basit, Shahid, Ahmad Raza

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Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images. by Kim, Dong Hyun, Jeong, Jin Gyo, Kim, Young Jae, Kim, Kwang Gi, Jeon, Ji Young

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A comprehensive review of imaging findings in COVID-19 - status in early 2021. by Afshar-Oromieh, Ali, Prosch, Helmut, Schaefer-Prokop, Cornelia, Bohn, Karl Peter, Alberts, Ian, Mingels, Clemens, Thurnher, Majda, Cumming, Paul, Shi, Kuangyu, Peters, Alan, Geleff, Silvana, Lan, Xiaoli, Wang, Feng, Huber, Adrian, Gräni, Christoph, Heverhagen, Johannes T., Rominger, Axel, Fontanellaz, Matthias, Schöder, Heiko, Christe, Andreas

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Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver. by Oestmann, Paula M., Wang, Clinton J., Savic, Lynn J., Hamm, Charlie A., Stark, Sophie, Schobert, Isabel, Gebauer, Bernhard, Schlachter, Todd, Lin, MingDe, Weinreb, Jeffrey C., Batra, Ramesh, Mulligan, David, Zhang, Xuchen, Duncan, James S., Chapiro, Julius

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Anatomical landmark localization via convolutional neural networks for limb-length discrepancy measurements. by Tsai, Andy

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Artificial intelligence: a critical review of current applications in pancreatic imaging. by Barat, Maxime, Chassagnon, Guillaume, Dohan, Anthony, Gaujoux, Sébastien, Coriat, Romain, Hoeffel, Christine, Cassinotto, Christophe, Soyer, Philippe

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Deep learning model for predicting gestational age after the first trimester using fetal MRI. by Kojita, Yasuyuki, Matsuo, Hidetoshi, Kanda, Tomonori, Nishio, Mizuho, Sofue, Keitaro, Nogami, Munenobu, Kono, Atsushi K., Hori, Masatoshi, Murakami, Takamichi

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To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines). by Omoumi, Patrick, Ducarouge, Alexis, Tournier, Antoine, Harvey, Hugh, Kahn, Charles E., Louvet-de Verchère, Fanny, Pinto Dos Santos, Daniel, Kober, Tobias, Richiardi, Jonas

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Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study. by Jiang, Meng, Zhang, Di, Tang, Shi-Chu, Luo, Xiao-Mao, Chuan, Zhi-Rui, Lv, Wen-Zhi, Jiang, Fan, Ni, Xue-Jun, Cui, Xin-Wu, Dietrich, Christoph F.

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Reliable segmentation of 2D cardiac magnetic resonance perfusion image sequences using time as the 3rd dimension. by Sandfort, Veit, Jacobs, Matthew, Arai, Andrew E., Hsu, Li-Yueh

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Convolutional neural network for discriminating nasopharyngeal carcinoma and benign hyperplasia on MRI. by Wong, Lun M., King, Ann D., Ai, Qi Yong H., Lam, W. K. Jacky, Poon, Darren M. C., Ma, Brigette B. Y., Chan, K. C. Allen, Mo, Frankie K. F.

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Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges. by Weikert, Thomas, Francone, Marco, Abbara, Suhny, Baessler, Bettina, Choi, Byoung Wook, Gutberlet, Matthias, Hecht, Elizabeth M., Loewe, Christian, Mousseaux, Elie, Natale, Luigi, Nikolaou, Konstantin, Ordovas, Karen G., Peebles, Charles, Prieto, Claudia, Salgado, Rodrigo, Velthuis, Birgitta, Vliegenthart, Rozemarijn, Bremerich, Jens, Leiner, Tim

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Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world... by White, Richard D., Erdal, Barbaros S., Demirer, Mutlu, Gupta, Vikash, Bigelow, Matthew T., Dikici, Engin, Candemir, Sema, Galizia, Mauricio S., Carpenter, Jessica L., O'Donnell, Thomas P., Halabi, Abdul H., Prevedello, Luciano M.

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Computed Tomography for Emergent Brain Injuries. by Sedden, Mandy, Fisher, Rodney

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Comparative Analysis of CNN and RNN for Voice Pathology Detection. by Syed, Sidra Abid, Rashid, Munaf, Hussain, Samreen, Zahid, Hira

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Face Recognition Using Raspberry Pi, Node-Red, IBM Watson and Twilio. by Pavitra, A., jyothi, V., Santhoshi, G. Dharani, Babu, T. Mahesh, Krishna, D. Hari, Reddy, S. Manogna

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