Standout Papers

Multimodal deep learning for biomedical data fusion: a review 2021 2026 2022 2024278
  1. Multimodal deep learning for biomedical data fusion: a review (2021)
    Sören Richard Stahlschmidt, Benjamin Ulfenborg et al. Briefings in Bioinformatics

Immediate Impact

45 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
Deep leaning in food safety and authenticity detection: An integrative review and future prospects
2024 Standout
2 intermediate papers

Works of Benjamin Ulfenborg being referenced

Multimodal deep learning for biomedical data fusion: a review
2021 Standout

Author Peers

Author Last Decade Papers Cites
Benjamin Ulfenborg 181 31 34 100 83 23 477
G. Clarke 156 33 17 112 138 24 552
Jasleen Grewal 199 27 10 86 80 19 455
Ken Takasawa 250 24 9 117 161 27 564
Deborah Thompson 76 28 22 202 96 29 417
Darius Dasevičius 198 106 85 128 102 28 527
Xiao Lei Zhang 87 58 47 38 90 19 561
Jianhai Zhang 121 39 20 57 42 50 455
Sara Monteiro‐Reis 295 121 18 57 50 31 572
Lingyun Liu 238 32 23 49 39 29 487
Jiquan Wang 181 63 9 60 35 31 546

All Works

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2026