Immediate Impact

10 standout
Sub-graph 1 of 5

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
3 intermediate papers

Works of Daniel DiCenzo being referenced

Early Changes in Quantitative Ultrasound Imaging Parameters during Neoadjuvant Chemotherapy to Predict Recurrence in Patients with Locally Advanced Breast Cancer
2022
Ultrasound delta-radiomics during radiotherapy to predict recurrence in patients with head and neck squamous cell carcinoma
2021
and 1 more

Author Peers

Author Last Decade Papers Cites
Daniel DiCenzo 161 78 26 54 18 189
Haicheng Zhang 192 84 15 41 26 259
Sami Tabbarah 132 93 10 23 9 171
Andrew Lagree 179 137 13 26 14 263
Paula Toro 110 76 15 17 25 206
Rencheng Zheng 183 55 6 35 18 279
Hua Zhang 187 49 23 87 22 277
Bingzhong Jing 162 66 131 19 13 244
Can Koyuncu 96 105 22 16 18 217
Kui‐Yuan Liu 166 66 80 14 12 274
Ran Gu 116 106 12 39 29 283

All Works

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Rankless by CCL
2026