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Samuel Rahimeto

Samuel Rahimeto Kebede

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2020 – today

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2022
[j5]
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  - journals/algorithms/WaldamichaelDSA22
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  - https://dblp.org/rec/journals/algorithms/WaldamichaelDSA22
Fraol Gelana Waldamichael, Taye Girma Debelee, Friedhelm Schwenker, Yehualashet Megersa Ayano, Samuel Rahimeto Kebede:
Machine Learning in Cereal Crops Disease Detection: A Review. Algorithms 15(3): 75 (2022)
[c2]
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  - conf/panafricon/WaldamichaelKAD22
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Fraol Gelana Waldamichael, Samuel Rahimeto Kebede, Yehualashet Megersa Ayano, Messay Tesfaye Demissie, Taye Girma Debelee:
A Multi-input Architecture for the Classification of Skin Lesions Using ResNets and Metadata. PanAfriCon AI 2022: 27-49
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Taye Girma Debelee, Samuel Rahimeto Kebede, Fraol Gelana Waldamichael, Daniel Moges Tadesse:
Wheat Yield Prediction Using Machine Learning: A Survey. PanAfriCon AI 2022: 114-132
2021
[j4]
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  - journals/evs/RahimetoDYS21
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Samuel Rahimeto, Taye Girma Debelee, Dereje Yohannes, Friedhelm Schwenker:
Automatic pectoral muscle removal in mammograms. Evol. Syst. 12(2): 519-526 (2021)
[j3]
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  - journals/jimaging/BiratuSDKNM21
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Erena Siyoum Biratu, Friedhelm Schwenker, Taye Girma Debelee, Samuel Rahimeto Kebede, Worku Gachena Negera, Hasset Tamirat Molla:
Enhanced Region Growing for Brain Tumor MR Image Segmentation. J. Imaging 7(2): 22 (2021)
2020
[j2]
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  - journals/jimaging/DebeleeKSS20
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Taye Girma Debelee, Samuel Rahimeto Kebede, Friedhelm Schwenker, Zemene Matewos Shewarega:
Deep Learning in Selected Cancers' Image Analysis - A Survey. J. Imaging 6(11): 121 (2020)

2010 – 2019

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2019
[j1]
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  - journals/cvm/DebeleeSRY19
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Taye Girma Debelee, Friedhelm Schwenker, Samuel Rahimeto, Dereje Yohannes:
Evaluation of modified adaptive k-means segmentation algorithm. Comput. Vis. Media 5(4): 347-361 (2019)

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