Immediate Impact

20 standout
Sub-graph 1 of 9

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
Sparse Dynamic Volume TransUNet with multi-level edge fusion for brain tumor segmentation
2024 Standout
2 intermediate papers

Works of Marco Caballo being referenced

Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence
2020

Author Peers

Author Last Decade Papers Cites
Marco Caballo 251 132 95 96 26 335
Zhuo He 147 39 48 70 31 321
Xinzhi Teng 264 87 46 68 36 322
G. Guidi 219 111 48 57 35 359
Tobias Hepp 232 59 72 75 26 345
Marvin Lerousseau 222 40 54 71 13 302
Sara Ahmed 233 49 38 55 32 336
Rita Simões 211 81 38 56 29 288
Shonket Ray 266 191 125 89 14 353
Carter Kolbeck 203 90 59 79 14 335
Fan Tang 96 69 36 55 18 270

All Works

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Rankless by CCL
2026