Standout Papers

Transparency of deep neural networks for medical image analysis: A review of interpretability methods 2021 2026 2022 2024218
  1. Transparency of deep neural networks for medical image analysis: A review of interpretability methods (2021)
    Zohaib Salahuddin, Henry C. Woodruff et al. Computers in Biology and Medicine

Immediate Impact

57 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
Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions
2024 Standout
1 intermediate paper

Works of Avishek Chatterjee being referenced

Knowledge Graphs for COVID-19: An Exploratory Review of the Current Landscape
2021
Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning
2019

Author Peers

Author Last Decade Papers Cites
Avishek Chatterjee 754 302 266 37 1.1k
Jonas Teuwen 849 546 241 51 1.1k
Tyler Bradshaw 1030 103 259 51 1.3k
Chunhao Wang 617 145 272 58 998
Liyuan Chen 751 219 298 72 1.3k
Ying Song 866 356 173 46 1.3k
Ida Häggström 1077 129 296 15 1.3k
Hidetaka Arimura 730 210 490 110 1.1k
Sergey Primakov 761 191 234 25 931
Jason W. Chan 387 135 258 55 898
Federica Zanca 661 319 490 65 940

All Works

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2026