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Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN
Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN
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Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN

Li, Ran ; Zeng, Xiangrui ; Sigmund, Stephanie E ; Lin, Ruogu ; Zhou, Bo ; Liu, Chang ; Wang, Kaiwen ; Jiang, Rui ; Freyberg, Zachary ; Lv, Hairong ; Xu, Min

BMC bioinformatics, 2019-03, Vol.20 (Suppl 3), p.132-132, Article 132 [Periódico revisado por pares]

England: BioMed Central Ltd

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12
Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest
Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest
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Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest

Liao, Wenzhi ; Huang, Xin ; Van Coillie, Frieke ; Gautama, Sidharta ; Pizurica, Aleksandra ; Philips, Wilfried ; Liu, Hui ; Zhu, Tingting ; Shimoni, Michal ; Moser, Gabriele ; Tuia, Devis

IEEE journal of selected topics in applied earth observations and remote sensing, 2015-06, Vol.8 (6), p.2984-2996 [Periódico revisado por pares]

IEEE

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13
Quantifying cellulose accessibility during enzyme-mediated deconstruction using 2 fluorescence-tagged carbohydrate-binding modules
Quantifying cellulose accessibility during enzyme-mediated deconstruction using 2 fluorescence-tagged carbohydrate-binding modules
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Quantifying cellulose accessibility during enzyme-mediated deconstruction using 2 fluorescence-tagged carbohydrate-binding modules

Novy, Vera ; Aïssa, Kevin ; Nielsen, Fredrik ; Straus, Suzana K. ; Ciesielski, Peter ; Hunt, Christopher G. ; Saddler, Jack

Proceedings of the National Academy of Sciences - PNAS, 2019-11, Vol.116 (45), p.22545-22551 [Periódico revisado por pares]

United States: National Academy of Sciences

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14
Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images
Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images
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Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images

Fassler, Danielle J ; Abousamra, Shahira ; Gupta, Rajarsi ; Chen, Chao ; Zhao, Maozheng ; Paredes, David ; Batool, Syeda Areeha ; Knudsen, Beatrice S ; Escobar-Hoyos, Luisa ; Shroyer, Kenneth R ; Samaras, Dimitris ; Kurc, Tahsin ; Saltz, Joel

Diagnostic pathology, 2020-07, Vol.15 (1), p.100-100, Article 100 [Periódico revisado por pares]

England: BioMed Central Ltd

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15
Object-Scale Adaptive Convolutional Neural Networks for High-Spatial Resolution Remote Sensing Image Classification
Object-Scale Adaptive Convolutional Neural Networks for High-Spatial Resolution Remote Sensing Image Classification
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Object-Scale Adaptive Convolutional Neural Networks for High-Spatial Resolution Remote Sensing Image Classification

Wang, Jie ; Zheng, Yalan ; Wang, Min ; Shen, Qian ; Huang, Jiru

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.283-299 [Periódico revisado por pares]

Piscataway: IEEE

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16
Unsupervised Change Detection Analysis in Satellite Image Time Series Using Deep Learning Combined With Graph-Based Approaches
Unsupervised Change Detection Analysis in Satellite Image Time Series Using Deep Learning Combined With Graph-Based Approaches
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Unsupervised Change Detection Analysis in Satellite Image Time Series Using Deep Learning Combined With Graph-Based Approaches

Kalinicheva, Ekaterina ; Ienco, Dino ; Sublime, Jeremie ; Trocan, Maria

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.1450-1466 [Periódico revisado por pares]

Piscataway: IEEE

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17
Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest
Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest
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Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest

Yokoya, Naoto ; Ghamisi, Pedram ; Xia, Junshi ; Sukhanov, Sergey ; Heremans, Roel ; Tankoyeu, Ivan ; Bechtel, Benjamin ; Le Saux, Bertrand ; Moser, Gabriele ; Tuia, Devis

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-05, Vol.11 (5), p.1363-1377 [Periódico revisado por pares]

Piscataway: IEEE

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18
Prospects of Structural Similarity Index for Medical Image Analysis
Prospects of Structural Similarity Index for Medical Image Analysis
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Prospects of Structural Similarity Index for Medical Image Analysis

Mudeng, Vicky ; Kim, Minseok ; Choe, Se-woon

Applied sciences, 2022-04, Vol.12 (8), p.3754 [Periódico revisado por pares]

Basel: MDPI AG

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19
Fully automated mouse echocardiography analysis using deep convolutional neural networks
Fully automated mouse echocardiography analysis using deep convolutional neural networks
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Fully automated mouse echocardiography analysis using deep convolutional neural networks

Duan, Chong ; Montgomery, Mary Kate ; Chen, Xian ; Ullas, Soumya ; Stansfield, John ; McElhanon, Kevin ; Hirenallur-Shanthappa, Dinesh

American journal of physiology. Heart and circulatory physiology, 2022-10, Vol.323 (4), p.H628-H639 [Periódico revisado por pares]

Bethesda: American Physiological Society

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20
Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning
Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning
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Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning

Jones, Thouis R ; Carpenter, Anne E ; Lamprecht, Michael R ; Moffat, Jason ; Silver, Serena J ; Grenier, Jennifer K ; Castoreno, Adam B ; Eggert, Ulrike S ; Root, David E ; Golland, Polina ; Sabatini, David M

Proceedings of the National Academy of Sciences - PNAS, 2009-02, Vol.106 (6), p.1826-1831 [Periódico revisado por pares]

United States: National Academy of Sciences

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