Standout Papers

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions 2024 202647
  1. Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions (2024)
    Luyang Luo, Xi Wang et al. IEEE Reviews in Biomedical Engineering

Immediate Impact

63 standout
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Citing Papers

Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic study
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 Luyang Luo being referenced

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning
2020
Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images
2019

Author Peers

Author Last Decade Papers Cites
Luyang Luo 370 247 107 139 25 557
Pan Su 252 153 155 130 23 547
Khan Bahadar Khan 249 77 203 127 21 561
João Dallyson Sousa de Almeida 285 88 156 180 42 484
Qingyao Wu 171 159 138 51 30 510
Ruhan Liu 246 108 134 138 27 620
Niloy Sikder 277 227 150 42 11 475
Mehdi Hassan 180 141 140 50 36 537
Antônio Oseas de Carvalho Filho 499 276 152 83 32 646
Tahir Mahmood 294 190 170 82 26 518
Yicheng Wu 275 102 257 115 19 537

All Works

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2026