Search Results - "D May"

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

“…Most current Alzheimer’s disease (AD) and mild cognitive disorders (MCI) studies use single data modality to make predictions such as AD stages. The fusion of…”
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Recent progress in surface-enhanced Raman spectroscopy for biological and biomedical applications: from cells to clinics by Cialla-May, D, Zheng, X-S, Weber, K, Popp, J

“…The application of surface-enhanced Raman spectroscopy (SERS) in biological and biomedical detection schemes is feasible due to its excellent molecular…”
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Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer by Tong, Li, Wu, Hang, Wang, May D.

“…•An effective end-to-end deep neural network for integration of multi-omics data.•Divergence-based regularization can capture consensus information among…”
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Carbon dioxide and organic waste valorization by microbial electrosynthesis and electro-fermentation by Jiang, Yong, May, Harold D., Lu, Lu, Liang, Peng, Huang, Xia, Ren, Zhiyong Jason

“…Carbon-rich waste materials (solid, liquid, or gaseous) are largely considered to be a burden on society due to the large capital and energy costs for their…”
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LncADeep: an ab initio lncRNA identification and functional annotation tool based on deep learning by Yang, Cheng, Yang, Longshu, Zhou, Man, Xie, Haoling, Zhang, Chengjiu, Wang, May D, Zhu, Huaiqiu

“…Abstract Motivation To characterize long non-coding RNAs (lncRNAs), both identifying and functionally annotating them are essential to be addressed. Moreover,…”
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Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis by Tong, Li, Mitchel, Jonathan, Chatlin, Kevin, Wang, May D

“…Breast cancer is the most prevalent and among the most deadly cancers in females. Patients with breast cancer have highly variable survival lengths, indicating…”
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COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks by Shi, Wenqi, Tong, Li, Zhu, Yuanda, Wang, May D.

“…Researchers seek help from deep learning methods to alleviate the enormous burden of reading radiological images by clinicians during the COVID-19 pandemic…”
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Pathology imaging informatics for quantitative analysis of whole-slide images by Kothari, Sonal, Phan, John H, Stokes, Todd H, Wang, May D

“…With the objective of bringing clinical decision support systems to reality, this article reviews histopathological whole-slide imaging informatics methods,…”
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Advancing Medical Imaging Informatics by Deep Learning-Based Domain Adaptation by Choudhary, Anirudh, Tong, Li, Zhu, Yuanda, Wang, May D

“…There has been a rapid development of deep learning (DL) models for medical imaging. However, DL requires a large labeled dataset for training the models…”
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Revised experimental upper limit on the electric dipole moment of the neutron by 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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Omic and Electronic Health Record Big Data Analytics for Precision Medicine by Wu, Po-Yen, Cheng, Chih-Wen, Kaddi, Chanchala D., Venugopalan, Janani, Hoffman, Ryan, Wang, May D.

“…Objective: Rapid advances of high-throughput technologies and wide adoption of electronic health records (EHRs) have led to fast accumulation of -omic and EHR…”
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Energy Efficiency and Productivity Enhancement of Microbial Electrosynthesis of Acetate by LaBelle, Edward V, May, Harold D

“…It was hypothesized that a lack of acetogenic biomass (biocatalyst) at the cathode of a microbial electrosynthesis system, due to electron and nutrient…”
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Semiconductor Quantum Dots for Bioimaging and Biodiagnostic Applications by Kairdolf, Brad A, Smith, Andrew M, Stokes, Todd H, Wang, May D, Young, Andrew N, Nie, Shuming

“…Semiconductor quantum dots (QDs) are light-emitting particles on the nanometer scale that have emerged as a new class of fluorescent labels for chemical…”
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CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images by Tong, Li, Wu, Hang, Wang, May D

“…Abstract Objective This article presents a novel method of semisupervised learning using convolutional autoencoders for optical endomicroscopic images. Optical…”
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Nanotechnology applications in surgical oncology by Singhal, Sunil, Nie, Shuming, Wang, May D

“…Surgery is currently the most effective and widely used procedure in treating human cancers, and the single most important predictor of patient survival is a…”
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Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning by Wu, Hang, Shi, Wenqi, Wang, May D

“…Modeling causality through graphs, referred to as causal graph learning, offers an appropriate description of the dynamics of causality. The majority of…”
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In vivo use of hyperspectral imaging to develop a noncontact endoscopic diagnosis support system for malignant colorectal tumors by Han, Zhimin, Zhang, Aoyu, Wang, Xiguang, Sun, Zongxiao, Wang, May D, Xie, Tianyu

“…The early detection and diagnosis of malignant colorectal tumors enables the initiation of early-stage therapy and can significantly increase the survival rate…”
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Electrosynthesis of Commodity Chemicals by an Autotrophic Microbial Community by MARSHALL, Christopher W, ROSS, Daniel E, FICHOT, Erin B, NORMAN, R. Sean, MAY, Harold D

“…Classifications Services AEM Citing Articles Google Scholar PubMed Related Content Social Bookmarking CiteULike Delicious Digg Facebook Google+ Mendeley Reddit…”
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A phase II placebo-controlled study of tralokinumab in moderate-to-severe asthma by PIPER, Edward, BRIGHTLING, Christopher, MOLFINO, Nestor A, NIVEN, Robert, OH, Chad, FAGGIONI, Raffaella, POON, Kwai, DEWEI SHE, KELL, Chris, MAY, Richard D, GEBA, Gregory P

“…Pre-clinical data demonstrate a pivotal role for interleukin (IL)-13 in the development and maintenance of asthma. This study assessed the effects of…”
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Improving explainable AI with patch perturbation-based evaluation pipeline: a COVID-19 X-ray image analysis case study by Sun, Jimin, Shi, Wenqi, Giuste, Felipe O., Vaghani, Yog S., Tang, Lingzi, Wang, May D.

“…Recent advances in artificial intelligence (AI) have sparked interest in developing explainable AI (XAI) methods for clinical decision support systems,…”
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