Multi-Parametric Ultrasound Radiomic Kinetics with Machine Learning Ensemble for Early Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.

Putin R, Stanga L, Roșca CI, Branea HS, Ilie AC, Tanase A, Cotoraci C

Open source

DOI
10.3390/diagnostics16162504
Published
2026 Aug 8
Container
Diagnostics (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/diagnostics16162504,
  title = {Multi-Parametric Ultrasound Radiomic Kinetics with Machine Learning Ensemble for Early Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.},
  author = {Putin R and Stanga L and Roșca CI and Branea HS and Ilie AC and Tanase A and Cotoraci C},
  year = {2026},
  journal = {Diagnostics (Basel, Switzerland)},
  doi = {10.3390/diagnostics16162504},
  url = {https://doi.org/10.3390/diagnostics16162504}
}

RIS

TY  - JOUR
TI  - Multi-Parametric Ultrasound Radiomic Kinetics with Machine Learning Ensemble for Early Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.
AU  - Putin R
AU  - Stanga L
AU  - Roșca CI
AU  - Branea HS
AU  - Ilie AC
AU  - Tanase A
AU  - Cotoraci C
PY  - 2026
JO  - Diagnostics (Basel, Switzerland)
DO  - 10.3390/diagnostics16162504
UR  - https://doi.org/10.3390/diagnostics16162504
ER  - 

APA

R, P., L, S., CI, R., HS, B., AC, I., A, T., & C, C. (2026). Multi-Parametric Ultrasound Radiomic Kinetics with Machine Learning Ensemble for Early Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16162504

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