Multimodal deep learning models for early detection of Alzheimer’s disease stage von Venugopalan, Janani, Tong, Li, Hassanzadeh, Hamid Reza, Wang, May D.

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Revised experimental upper limit on the electric dipole moment of the neutron von Pendlebury, J. M., Afach, S., Ayres, N. J., Baker, C. A., Ban, G., Bison, G., Bodek, K., Burghoff, M., Geltenbort, P., Green, K., Griffith, W. C., van der Grinten, M., Grujić, Z. D., Harris, P. G., Hélaine, V., Iaydjiev, P., Ivanov, S. N., Kasprzak, M., Kermaidic, Y., Kirch, K., Koch, H.-C., Komposch, S., Kozela, A., Krempel, J., Lauss, B., Lefort, T., Lemière, Y., May, D. J. R., Musgrave, M., Naviliat-Cuncic, O., Piegsa, F. M., Pignol, G., Prashanth, P. N., Quéméner, G., Rawlik, M., Rebreyend, D., Richardson, J. D., Ries, D., Roccia, S., Rozpedzik, D., Schnabel, A., Schmidt-Wellenburg, P., Severijns, N., Shiers, D., Thorne, J. A., Weis, A., Winston, O. J., Wursten, E., Zejma, J., Zsigmond, G.

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Recent progress in surface-enhanced Raman spectroscopy for biological and biomedical applications: from cells to clinics von Cialla-May, D, Zheng, X.-S, Weber, K, Popp, J

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Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer von Tong, Li, Wu, Hang, Wang, May D.

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Carbon dioxide and organic waste valorization by microbial electrosynthesis and electro-fermentation von Jiang, Yong, May, Harold D., Lu, Lu, Liang, Peng, Huang, Xia, Ren, Zhiyong Jason

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Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis von Tong, Li, Mitchel, Jonathan, Chatlin, Kevin, Wang, May D

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Improved experimental limit on the electric dipole moment of the neutron von Baker, C A, Doyle, D D, Geltenbort, P, Green, K, van der Grinten, M G D, Harris, P G, Iaydjiev, P, Ivanov, S N, May, D J R, Pendlebury, J M, Richardson, J D, Shiers, D, Smith, K F

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LncADeep: an ab initio lncRNA identification and functional annotation tool based on deep learning von Yang, Cheng, Yang, Longshu, Zhou, Man, Xie, Haoling, Zhang, Chengjiu, Wang, May D, Zhu, Huaiqiu

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COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks von Shi, Wenqi, Tong, Li, Zhu, Yuanda, Wang, May D.

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Pathology imaging informatics for quantitative analysis of whole-slide images von Kothari, Sonal, Phan, John H, Stokes, Todd H, Wang, May D

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Advancing Medical Imaging Informatics by Deep Learning-Based Domain Adaptation von Choudhary, Anirudh, Tong, Li, Zhu, Yuanda, Wang, May D.

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Trends in pharmaceutical analysis and quality control by modern Raman spectroscopic techniques von Silge, A., Weber, Karina, Cialla-May, D., Müller-Bötticher, L., Fischer, D., Popp, J.

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Energy Efficiency and Productivity Enhancement of Microbial Electrosynthesis of Acetate von LaBelle, Edward V, May, Harold D

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Candidate genes and genetic architecture of symbiotic and agronomic traits revealed by whole-genome, sequence-based association genetics in Medicago truncatula von Stanton-Geddes, John, Paape, Timothy, Epstein, Brendan, Briskine, Roman, Yoder, Jeremy, Mudge, Joann, Bharti, Arvind K, Farmer, Andrew D, Zhou, Peng, Denny, Roxanne, May, Gregory D, Erlandson, Stephanie, Yakub, Mohammed, Sugawara, Masayuki, Sadowsky, Michael J, Young, Nevin D, Tiffin, Peter

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High-throughput SNP discovery through deep resequencing of a reduced representation library to anchor and orient scaffolds in the soybean whole genome sequence von Hyten, David L, Cannon, Steven B, Song, Qijian, Weeks, Nathan, Fickus, Edward W, Shoemaker, Randy C, Specht, James E, Farmer, Andrew D, May, Gregory D, Cregan, Perry B

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Semiconductor Quantum Dots for Bioimaging and Biodiagnostic Applications von Kairdolf, Brad A, Smith, Andrew M, Stokes, Todd H, Wang, May D, Young, Andrew N, Nie, Shuming

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Evolution and diversity of subduction zones controlled by slab width von Schellart, W. P., Freeman, J., Stegman, D. R., Moresi, L., May, D.

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Evidence for and Against Temperate Ice in Antarctic Shear Margins From Radar‐Depth Sounding Data von Summers, P. T., Schroeder, D. M., May, D. F., Suckale, J.

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Biological clustering supports both “Dutch” and “British” hypotheses of asthma and chronic obstructive pulmonary disease von Ghebre, Michael A., MSc, Bafadhel, Mona, PhD, Desai, Dhananjay, MBBS, Cohen, Suzanne E., PhD, Newbold, Paul, PhD, Rapley, Laura, PhD, Woods, Jo, PhD, Rugman, Paul, PhD, Pavord, Ian D., MD, Newby, Chris, PhD, Burton, Paul R., MD, May, Richard D., PhD, Brightling, Chris E., PhD

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Nanotechnology applications in surgical oncology von Singhal, Sunil, Nie, Shuming, Wang, May D

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