Standout Papers

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation 2020 2026 2022 2024496
  1. Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation (2020)
    Nima Tajbakhsh, Qian Li et al. Medical Image Analysis

Immediate Impact

72 standout
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Citing Papers

Machine learning-enhanced flavoromics: Identifying key aroma compounds and predicting sensory quality in sauce-flavor baijiu
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3 intermediate papers

Works of Xiaowei Ding being referenced

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
2020 Standout
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
2019

Author Peers

Author Last Decade Papers Cites
Xiaowei Ding 308 310 8 391 6 717
Ehsan Khodapanah Aghdam 333 257 6 302 6 732
Moein Heidari 308 245 5 269 6 651
Amirhossein Kazerouni 287 226 5 261 9 602
Fahad Shamshad 238 220 7 257 10 609
Shivajirao M. Jadhav 156 314 26 282 12 719
Salman Khan 194 195 5 245 11 575
Kersten Petersen 210 348 3 394 12 828
Ari Seff 214 299 1 482 8 777
Fausto Milletarì 208 324 27 260 17 727
Jinzheng Cai 246 284 2 319 13 584

All Works

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2026