Longitudinal Breast MRI for Early Treatment-Response Modeling: A Comparative Study of Handcrafted Radiomics and Frozen Deep Image Embeddings for pCR Prediction.

Panaite DI, Buzea CG, Nedeff F, Nedeff V, Mirilă D, Panainte-Lehăduș M, Tomozei C, Dobreci L, Volovăț C, Volovăț CC, Iancu RI, Agop M, Ochiuz L, Volovăț SR

Open source

DOI
10.3390/diagnostics16152349
Published
2026 Jul 27
Container
Diagnostics (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/diagnostics16152349,
  title = {Longitudinal Breast MRI for Early Treatment-Response Modeling: A Comparative Study of Handcrafted Radiomics and Frozen Deep Image Embeddings for pCR Prediction.},
  author = {Panaite DI and Buzea CG and Nedeff F and Nedeff V and Mirilă D and Panainte-Lehăduș M and Tomozei C and Dobreci L and Volovăț C and Volovăț CC and Iancu RI and Agop M and Ochiuz L and Volovăț SR},
  year = {2026},
  journal = {Diagnostics (Basel, Switzerland)},
  doi = {10.3390/diagnostics16152349},
  url = {https://doi.org/10.3390/diagnostics16152349}
}

RIS

TY  - JOUR
TI  - Longitudinal Breast MRI for Early Treatment-Response Modeling: A Comparative Study of Handcrafted Radiomics and Frozen Deep Image Embeddings for pCR Prediction.
AU  - Panaite DI
AU  - Buzea CG
AU  - Nedeff F
AU  - Nedeff V
AU  - Mirilă D
AU  - Panainte-Lehăduș M
AU  - Tomozei C
AU  - Dobreci L
AU  - Volovăț C
AU  - Volovăț CC
AU  - Iancu RI
AU  - Agop M
AU  - Ochiuz L
AU  - Volovăț SR
PY  - 2026
JO  - Diagnostics (Basel, Switzerland)
DO  - 10.3390/diagnostics16152349
UR  - https://doi.org/10.3390/diagnostics16152349
ER  - 

APA

DI, P., CG, B., F, N., V, N., D, M., M, P., C, T., L, D., C, V., CC, V., RI, I., M, A., L, O., & SR, V. (2026). Longitudinal Breast MRI for Early Treatment-Response Modeling: A Comparative Study of Handcrafted Radiomics and Frozen Deep Image Embeddings for pCR Prediction.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16152349

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