Immediate Impact
12 standout
Citing Papers
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
2024 Standout
Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024
2024 Standout
Works of Na Lae Eun being referenced
Texture analysis using machine learning–based 3-T magnetic resonance imaging for predicting recurrence in breast cancer patients treated with neoadjuvant chemotherapy
2021
Texture Analysis with 3.0-T MRI for Association of Response to Neoadjuvant Chemotherapy in Breast Cancer
2019
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Na Lae Eun | 179 | 86 | 76 | 100 | 32 | 323 | |
| Chunping Ning | 123 | 45 | 45 | 55 | 35 | 364 | |
| Mikinao Oiwa | 55 | 60 | 56 | 73 | 29 | 288 | |
| Jingliang Ruan | 114 | 29 | 37 | 62 | 15 | 289 | |
| Babita Panigrahi | 148 | 53 | 51 | 36 | 26 | 281 | |
| Lars Löfgren | 89 | 98 | 174 | 42 | 22 | 358 | |
| Lei Tang | 64 | 39 | 46 | 47 | 29 | 308 | |
| Chunxiao Cui | 146 | 49 | 71 | 92 | 33 | 332 | |
| Cláudia Costa | 145 | 50 | 42 | 67 | 26 | 296 | |
| Youichi Machida | 179 | 73 | 49 | 54 | 37 | 348 | |
| Ching-Yi Lee | 29 | 25 | 49 | 97 | 31 | 350 |
All Works
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