Search Results - Graphics processing units

Motion-corrected coronary calcium scores by a convolutional neural network: a robotic simulating study. by Zhang, Yaping, van der Werf, Niels R., Jiang, Beibei, van Hamersvelt, Robbert, Greuter, Marcel J. W., Xie, Xueqian

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Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs. by Tang, Fan, Liang, Shujun, Zhong, Tao, Huang, Xia, Deng, Xiaogang, Zhang, Yu, Zhou, Linghong

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Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics. by Wildeboer, Rogier R., Mannaerts, Christophe K., van Sloun, Ruud J. G., Budäus, Lars, Tilki, Derya, Wijkstra, Hessel, Salomon, Georg, Mischi, Massimo

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Clinical evaluation of in silico planning and real-time simulation of hepatic radiofrequency ablation (ClinicIMPPACT Trial). by Moche, Michael, Busse, Harald, Futterer, Jurgen J., Hinestrosa, Camila A., Seider, Daniel, Brandmaier, Philipp, Kolesnik, Marina, Jenniskens, Sjoerd, Blanco Sequeiros, Roberto, Komar, Gaber, Pollari, Mika, Eibisberger, Martin, Portugaller, Horst Rupert, Voglreiter, Philip, Flanagan, Ronan, Mariappan, Panchatcharam, Reinhardt, Martin

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Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network. by Lee, Jeong Hyun, Joo, Ijin, Kang, Tae Wook, Paik, Yong Han, Sinn, Dong Hyun, Ha, Sang Yun, Kim, Kyunga, Choi, Choonghwan, Lee, Gunwoo, Yi, Jonghyon, Bang, Won-Chul

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Model Image-Based Metal Artifact Reduction for Computed Tomography. by Luzhbin, Dmytro, Wu, Jay

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Compressed sensing real-time cine imaging for assessment of ventricular function, volumes and mass in clinical practice. by Vermersch, Mathilde, Longère, Benjamin, Coisne, Augustin, Schmidt, Michaela, Forman, Christoph, Monnet, Aurélien, Pagniez, Julien, Silvestri, Valentina, Simeone, Arianna, Cheasty, Emma, Montaigne, David, Pontana, François

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Non-Fungible Tokens, Libraries, and Publishers. by LaFountain, Cal

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What can artificial intelligence teach us about the molecular mechanisms underlying disease? by Cook, Gary J. R., Goh, Vicky

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Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study. by Kiryu, Shigeru, Yasaka, Koichiro, Akai, Hiroyuki, Nakata, Yasuhiro, Sugomori, Yusuke, Hara, Seigo, Seo, Maria, Abe, Osamu, Ohtomo, Kuni

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Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC). by Shiri, Isaac, Ghafarian, Pardis, Geramifar, Parham, Leung, Kevin Ho-Yin, Ghelichoghli, Mostafa, Oveisi, Mehrdad, Rahmim, Arman, Ay, Mohammad Reza

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Investigation of Low-Dose CT Lung Cancer Screening Scan "Over-Range" Issue Using Machine Learning Methods. by Huo, Donglai, Kiehn, Mark, Scherzinger, Ann

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Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI. by Le Berre, Alice, Kamagata, Koji, Otsuka, Yujiro, Andica, Christina, Hatano, Taku, Saccenti, Laetitia, Ogawa, Takashi, Takeshige-Amano, Haruka, Wada, Akihiko, Suzuki, Michimasa, Hagiwara, Akifumi, Irie, Ryusuke, Hori, Masaaki, Oyama, Genko, Shimo, Yashushi, Umemura, Atsushi, Hattori, Nobutaka, Aoki, Shigeki

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Annual Congress of the European Association of Nuclear Medicine October 12 – 16, 2019 Barcelona, Spain.

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CT temporal subtraction improves early detection of bone metastases compared to SPECT. by Onoue, Koji, Nishio, Mizuho, Yakami, Masahiro, Aoyama, Gakuto, Nakagomi, Keita, Iizuka, Yoshio, Kubo, Takeshi, Emoto, Yutaka, Akasaka, Thai, Satoh, Kiyohide, Yamamoto, Hiroyuki, Isoda, Hiroyoshi, Togashi, Kaori

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Convolutional neural network to predict the local recurrence of giant cell tumor of bone after curettage based on pre-surgery magnetic resonance images. by He, Yifeng, Guo, Jiapan, Ding, Xiaoyi, van Ooijen, Peter M. A., Zhang, Yaping, Chen, An, Oudkerk, Matthijs, Xie, Xueqian

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Image Annotation by Eye Tracking: Accuracy and Precision of Centerlines of Obstructed Small-Bowel Segments Placed Using Eye Trackers. by Lucas, Alfredo, Wang, Kang, Santillan, Cynthia, Hsiao, Albert, Sirlin, Claude B., Murphy, Paul M.

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Nvidia's Blackwell AI 'superchip' is the most powerful yet. by Hsu, Jeremy

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What was Bitcoin, what will it be? The techno-economic imaginaries of a new money technology. by Swartz, Lana

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Digitally reconstructing the Great Parchment Book: 3D recovery of fire-damaged historical documents. by Pal, Kazim, Avery, Nicola, Boston, Pete, Campagnolo, Alberto, De Stefani, Caroline, Matheson-Pollock, Helen, Panozzo, Daniele, Payne, Matthew, Schüller, Christian, Sanderson, Chris, Scott, Chris, Smith, Philippa, Smither, Rachael, Sorkine-Hornung, Olga, Stewart, Ann, Stewart, Emma, Stewart, Patricia, Terras, Melissa, Walsh, Bernadette, Ward, Laurence

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