Search Results - "Shen, Liyue"

Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning by Shen, Liyue, Zhao, Wei, Xing, Lei

“…Tomographic imaging using penetrating waves generates cross-sectional views of the internal anatomy of a living subject. For artefact-free volumetric imaging,…”
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Scalable Person Re-identification: A Benchmark by Zheng, Liang, Shen, Liyue, Tian, Lu, Wang, Shengjin, Wang, Jingdong, Tian, Qi

“…This paper contributes a new high quality dataset for person re-identification, named "Market-1501". Generally, current datasets: 1) are limited in scale, 2)…”
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Attention-guided deep learning for gestational age prediction using fetal brain MRI by Shen, Liyue, Zheng, Jimmy, Lee, Edward H., Shpanskaya, Katie, McKenna, Emily S., Atluri, Mahesh G., Plasto, Dinko, Mitchell, Courtney, Lai, Lillian M., Guimaraes, Carolina V., Dahmoush, Hisham, Chueh, Jane, Halabi, Safwan S., Pauly, John M., Xing, Lei, Lu, Quin, Oztekin, Ozgur, Kline-Fath, Beth M., Yeom, Kristen W.

“…Magnetic resonance imaging offers unrivaled visualization of the fetal brain, forming the basis for establishing age-specific morphologic milestones. However,…”
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Difunctional Magnetic Nanoparticles Employed in Immunochromatographic Assay for Rapid and Quantitative Detection of Carcinoembryonic Antigen by Hu, Yalin, Lu, Xin, Shen, Liyue, Dong, Jiahui, Liang, Zhanwei, Xie, Jie, Peng, Tao, Yu, Xiaoping, Dai, Xinhua

“…Immunochromatographic assay (ICA) plays an important role in in vitro diagnostics because of its simpleness, convenience, fastness, sensitivity, accuracy, and…”
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Leveraging data-driven self-consistency for high-fidelity gene expression recovery by Islam, Md Tauhidul, Wang, Jen-Yeu, Ren, Hongyi, Li, Xiaomeng, Khuzani, Masoud Badiei, Sang, Shengtian, Yu, Lequan, Shen, Liyue, Zhao, Wei, Xing, Lei

“…Single cell RNA sequencing is a promising technique to determine the states of individual cells and classify novel cell subtypes. In current sequence data…”
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Missing Wedge Completion via Unsupervised Learning with Coordinate Networks by Van Veen, Dave, Galaz-Montoya, Jesús G, Shen, Liyue, Baldwin, Philip, Chaudhari, Akshay S, Lyumkis, Dmitry, Schmid, Michael F, Chiu, Wah, Pauly, John

“…Cryogenic electron tomography (cryoET) is a powerful tool in structural biology, enabling detailed 3D imaging of biological specimens at a resolution of…”
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Learning to Learn from Noisy Web Videos by Yeung, Serena, Ramanathan, Vignesh, Russakovsky, Olga, Liyue Shen, Mori, Greg, Li Fei-Fei

“…Understanding the simultaneously very diverse and intricately fine-grained set of possible human actions is a critical open problem in computer vision…”
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NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction by Shen, Liyue, Pauly, John, Xing, Lei

“…Image reconstruction is an inverse problem that solves for a computational image based on sampled sensor measurement. Sparsely sampled image reconstruction…”
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Super-resolution biomedical imaging via reference-free statistical implicit neural representation by Ye, Siqi, Shen, Liyue, Islam, Md Tauhidul, Xing, Lei

“…Supervised deep learning for image super-resolution (SR) has limitations in biomedical imaging due to the lack of large amounts of low- and high-resolution…”
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A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction by Shen, Liyue, Zhao, Wei, Capaldi, Dante, Pauly, John, Xing, Lei

“…Deep learning affords enormous opportunities to augment the armamentarium of biomedical imaging. However, the pure data-driven nature of deep learning models…”
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Novel-view X-ray projection synthesis through geometry-integrated deep learning by Shen, Liyue, Yu, Lequan, Zhao, Wei, Pauly, John, Xing, Lei

“…•We for the first time investigate the novel-view projection synthesis problem for X-ray imaging. The approach can also be generalized to a more general…”
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Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation by Seo, Hyunseok, Yu, Lequan, Ren, Hongyi, Li, Xiaomeng, Shen, Liyue, Xing, Lei

“…Deep learning is becoming an indispensable tool for imaging applications, such as image segmentation, classification, and detection. In this work, we…”
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GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition by Huang, Shih-Cheng, Shen, Liyue, Lungren, Matthew P., Yeung, Serena

“…In recent years, the growing utilization of medical imaging is placing an increasing burden on radiologists. Deep learning provides a promising solution for…”
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An integrated magnetic/photothermal capillary immunochromatographic assay based on rambutan-like Fe3O4@Cu2−S@PDA-Au nanoparticles by Wang, Boyu, Peng, Tao, Jiang, Zhiyuan, Shen, Liyue, Dong, Jiahui, Song, Zhenfei, Qu, Jifeng, Dai, Xinhua

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Modeling linear accelerator (Linac) beam data by implicit neural representation learning for commissioning and quality assurance applications by Liu, Lianli, Shen, Liyue, Yang, Yong, Schüler, Emil, Zhao, Wei, Wetzstein, Gordon, Xing, Lei

“…Background Linear accelerator (Linac) beam data commissioning and quality assurance (QA) play a vital role in accurate radiation treatment delivery and entail…”
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Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging by Yan, Rui, Qu, Liangqiong, Wei, Qingyue, Huang, Shih-Cheng, Shen, Liyue, Rubin, Daniel, Xing, Lei, Zhou, Yuyin

“…The collection and curation of large-scale medical datasets from multiple institutions is essential for training accurate deep learning models, but privacy…”
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Volumetric MRI with sparse sampling for MR‐guided 3D motion tracking via sparse prior‐augmented implicit neural representation learning by Liu, Lianli, Shen, Liyue, Johansson, Adam, Balter, James M, Cao, Yue, Vitzthum, Lucas, Xing, Lei

“…Background Volumetric reconstruction of magnetic resonance imaging (MRI) from sparse samples is desirable for 3D motion tracking and promises to improve…”
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Establishment of a multi-line immunochromatography based on magnetic nanoparticles for simultaneous screening of multiple biomarkers by Shen, Liyue, Peng, Tao, Dong, Jiahui, Liang, Zhanwei, Si, Jihao, Ye, Hua, Xie, Jie, Yu, Xiaoping, Dai, Xinhua

“…Biomarkers screening is a benefit approach for early diagnosis of major diseases. In this study, magnetic nanoparticles (MNPs) have been utilized as labels to…”
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Markerless Pancreatic Tumor Target Localization Enabled By Deep Learning by Zhao, Wei, Shen, Liyue, Han, Bin, Yang, Yong, Cheng, Kai, Toesca, Diego A.S., Koong, Albert C., Chang, Daniel T., Xing, Lei

“…Deep learning is an emerging technique that allows us to capture imaging information beyond the visually recognizable level of a human being. Because of the…”
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PINER: Prior-informed Implicit Neural Representation Learning for Test-time Adaptation in Sparse-view CT Reconstruction by Song, Bowen, Shen, Liyue, Xing, Lei

“…Recently, deep learning has been introduced to solve important medical image reconstruction problems such as sparse-view CT reconstruction. However, the…”
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