Immediate Impact
24 standout
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
Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024
2024 Standout
Works of Daniel P. Noij being referenced
Predictive value of quantitative 18F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma
2020
Predictive value of diffusion-weighted imaging without and with including contrast-enhanced magnetic resonance imaging in image analysis of head and neck squamous cell carcinoma
2014
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Daniel P. Noij | 345 | 178 | 57 | 89 | 18 | 485 | |
| Angeliki Ailianou | 177 | 120 | 26 | 149 | 12 | 441 | |
| Roland M. Martens | 350 | 188 | 25 | 62 | 22 | 436 | |
| Nicolas Dulguerov | 247 | 211 | 29 | 139 | 27 | 481 | |
| Takamichi Morikawa | 70 | 137 | 34 | 128 | 23 | 428 | |
| Vrushab Rao | 38 | 47 | 131 | 166 | 16 | 486 | |
| J J Feldmeier | 106 | 100 | 13 | 132 | 14 | 442 | |
| Jutta Scheiderbauer | 302 | 33 | 4 | 23 | 22 | 457 | |
| Daniel W. Williams | 172 | 296 | 2 | 229 | 24 | 534 | |
| Sandra Röddiger | 80 | 72 | 23 | 129 | 14 | 463 | |
| Lutz Freudenberg | 346 | 62 | 5 | 62 | 10 | 517 |
All Works
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