Standout Papers

A Review of Deep-Learning-Based Medical Image Segmentation Methods 2021 2026 2022 2024396
  1. A Review of Deep-Learning-Based Medical Image Segmentation Methods (2021)
    Xiangbin Liu, Liping Song et al. Sustainability

Immediate Impact

43 standout
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Citing Papers

Insights into the molecular mechanisms, structure-activity relationships and application prospects of polysaccharides by regulating Nrf2-mediated antioxidant response
2024 Standout
NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data
2024 Standout
2 intermediate papers

Works of Xiangbin Liu being referenced

A Review of Deep-Learning-Based Medical Image Segmentation Methods
2021 Standout
Grape seed proanthocyanidin extract supplementation affects exhaustive exercise-induced fatigue in mice
2018

Author Peers

Author Last Decade Papers Cites
Xiangbin Liu 74 235 281 236 44 774
Kai Zhang 56 537 242 215 47 979
Jie Du 40 416 273 191 35 820
Kumar Abhishek 36 298 334 215 32 889
Aleksandar Vakanski 78 349 325 177 38 820
Md. Nahiduzzaman 39 242 223 359 42 752
Anas Bilal 24 260 290 445 60 928
Hang Yu 23 236 300 199 51 838
Haigen Hu 49 269 188 186 39 832
Olaide N. Oyelade 48 570 194 260 35 974
Tao Zhou 31 299 225 300 108 930

All Works

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2026