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1
Radiomics analysis for prediction and classification of submucosal tumors based on gastrointestinal endoscopic ultrasonography
Radiomics analysis for prediction and classification of submucosal tumors based on gastrointestinal endoscopic ultrasonography
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Radiomics analysis for prediction and classification of submucosal tumors based on gastrointestinal endoscopic ultrasonography

Zhou, Hui ; Wei, Guoliang ; Wu, Junke

DEN open, 2025-04, Vol.5 (1), p.e374-e374 [Revista revisada por pares]

Australia: John Wiley and Sons Inc

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2
Recent advancements in image-enhanced endoscopy in the pancreatobiliary field
Recent advancements in image-enhanced endoscopy in the pancreatobiliary field
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Recent advancements in image-enhanced endoscopy in the pancreatobiliary field

Toyonaga, Haruka ; Hayashi, Tsuyoshi ; Hama, Kazuki ; Ando, Ryo ; Ishii, Tatsuya ; Yoshida, Kenta ; Kin, Toshifumi ; Motoya, Masayo ; Takahashi, Kuniyuki ; Katanuma, Akio

DEN open, 2025-04, Vol.5 (1), p.e382-e382 [Revista revisada por pares]

Australia: John Wiley and Sons Inc

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3
Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review
Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review
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Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review

Gano, Boubacar ; Bhadra, Sourav ; Vilbig, Justin M. ; Ahmed, Nurzaman ; Sagan, Vasit ; Shakoor, Nadia

Plant phenome journal, 2024-12, Vol.7 (1) [Revista revisada por pares]

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4
A scalable, low‐cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations
A scalable, low‐cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations
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A scalable, low‐cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations

Feldman, Max J. ; Park, Jaebum ; Miller, Nathan ; Wakholi, Collins ; Greene, Katelyn ; Abbasi, Arash ; Rippner, Devin A. ; Navarre, Duroy ; Schmitz Carley, Cari ; Shannon, Laura M. ; Novy, Rich

Plant phenome journal, 2024-12, Vol.7 (1) [Revista revisada por pares]

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5
High School and Undergraduate Student Volunteers as an Imperfect Solution to Machine Learning Geoscience Research Needs
High School and Undergraduate Student Volunteers as an Imperfect Solution to Machine Learning Geoscience Research Needs
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High School and Undergraduate Student Volunteers as an Imperfect Solution to Machine Learning Geoscience Research Needs

Esenther, Sarah E. ; Gupta, Neiv ; Vongkitbuncha, Chanatip ; Lee, Mason N. ; Smith, Laurence C.

Perspectives of Earth and Space Scientists (Hoboken, N. J.), 2024-12, Vol.5 (1)

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6
Estimating Fusarium head blight severity in winter wheat using deep learning and a spectral index
Estimating Fusarium head blight severity in winter wheat using deep learning and a spectral index
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Estimating Fusarium head blight severity in winter wheat using deep learning and a spectral index

McConachie, Riley ; Belot, Connor ; Serajazari, Mitra ; Booker, Helen ; Sulik, John

Plant phenome journal, 2024-12, Vol.7 (1) [Revista revisada por pares]

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7
Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks
Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks
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Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks

Gonzalez, Emmanuel M. ; Zarei, Ariyan ; Calleja, Sebastian ; Christenson, Clay ; Rozzi, Bruno ; Demieville, Jeffrey ; Hu, Jiahuai ; Eveland, Andrea L. ; Dilkes, Brian ; Barnard, Kobus ; Lyons, Eric ; Pauli, Duke

Plant phenome journal, 2024-12, Vol.7 (1) [Revista revisada por pares]

United States: Wiley Blackwell (John Wiley & Sons)

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8
Hyperspectral imaging combined with machine learning for high‐throughput phenotyping in winter wheat
Hyperspectral imaging combined with machine learning for high‐throughput phenotyping in winter wheat
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Hyperspectral imaging combined with machine learning for high‐throughput phenotyping in winter wheat

Kaur, Sehijpreet ; Kakani, Vijaya Gopal ; Carver, Brett ; Jarquin, Diego ; Singh, Aditya

Plant phenome journal, 2024-12, Vol.7 (1) [Revista revisada por pares]

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9
Toward improved image‐based root phenotyping: Handling temporal and cross‐site domain shifts in crop root segmentation models
Toward improved image‐based root phenotyping: Handling temporal and cross‐site domain shifts in crop root segmentation models
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Toward improved image‐based root phenotyping: Handling temporal and cross‐site domain shifts in crop root segmentation models

Banet, Travis ; Smith, Abraham George ; McGrail, Rebecca ; McNear, David H. ; Poffenbarger, Hanna

Plant phenome journal, 2024-12, Vol.7 (1) [Revista revisada por pares]

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10
Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum
Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum
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Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum

Panelo, Juan S. ; Bao, Yin ; Tang, Lie ; Schnable, Patrick S. ; Salas‐Fernandez, Maria G.

Plant phenome journal, 2024-12, Vol.7 (1) [Revista revisada por pares]

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