Standout Papers

MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Resea... 2016 2026 2019 2022 360
  1. MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays (2016)
    Hui Li, Yitan Zhu et al. Radiology
  2. Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set (2016)
    Hui Li, Yitan Zhu et al. npj Breast Cancer

Immediate Impact

1 from Science/Nature 62 standout
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Citing Papers

Segment anything in medical images
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The Integration of Artificial Intelligence into Clinical Practice
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2 intermediate papers

Works of Jose Net being referenced

MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays
2016 Standout

Author Peers

Author Last Decade Papers Cites
Jose Net 715 176 87 276 25 837
Sujata V. Ghate 475 131 180 357 35 785
Fei Li 461 100 51 223 34 851
Si‐Wa Chan 490 91 76 326 40 809
Georg Wengert 750 117 152 166 36 929
Belinda Curpen 447 224 157 254 47 787
Luca Alessandro Carbonaro 607 161 224 178 47 849
Sung Ui Shin 545 301 214 236 38 874
Danny F. Martinez 677 86 75 201 36 792
Andreas Kleppe 421 209 71 316 22 928
Tarjei S. Hveem 323 208 101 242 21 792

All Works

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2026