| Personalized breast cancer treatments using artificial intelligence in radiomics and pathomics WT Tran, K Jerzak, FI Lu, J Klein, S Tabbarah, A Lagree, T Wu, ... Journal of medical imaging and radiation sciences 50 (4), S32-S41, 2019 | 69 | 2019 |
| A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks A Lagree, M Mohebpour, N Meti, K Saednia, FI Lu, E Slodkowska, ... Scientific Reports 11 (1), 8025, 2021 | 57 | 2021 |
| Quantitative thermal imaging biomarkers to detect acute skin toxicity from breast radiation therapy using supervised machine learning K Saednia, S Tabbarah, A Lagree, T Wu, J Klein, E Garcia, M Hall, ... International Journal of Radiation Oncology* Biology* Physics 106 (5), 1071-1083, 2020 | 31 | 2020 |
| Machine learning frameworks to predict neoadjuvant chemotherapy response in breast cancer using clinical and pathological features N Meti, K Saednia, A Lagree, S Tabbarah, M Mohebpour, A Kiss, FI Lu, ... JCO Clinical Cancer Informatics 5, 66-80, 2021 | 30 | 2021 |
| Analysis of tumor nuclear features using artificial intelligence to predict response to neoadjuvant chemotherapy in high-risk breast cancer patients DW Dodington, A Lagree, S Tabbarah, M Mohebpour, A Sadeghi-Naini, ... Breast Cancer Research and Treatment 186, 379-389, 2021 | 28 | 2021 |
| Predictive quantitative ultrasound radiomic markers associated with treatment response in head and neck cancer WT Tran, H Suraweera, K Quaioit, D Cardenas, KX Leong, I Karam, ... Future Science OA 6 (1), FSO433, 2019 | 19 | 2019 |
| Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies K Saednia, A Lagree, MA Alera, L Fleshner, A Shiner, E Law, B Law, ... Scientific Reports 12 (1), 9690, 2022 | 13 | 2022 |
| Assessment of digital pathology imaging biomarkers associated with breast cancer histologic grade A Lagree, A Shiner, MA Alera, L Fleshner, E Law, B Law, FI Lu, ... Current Oncology 28 (6), 4298-4316, 2021 | 9 | 2021 |
| Machine learning analysis of breast ultrasound to classify triple negative and HER2+ breast cancer subtypes R Ferre, J Elst, S Senthilnathan, A Lagree, S Tabbarah, FI Lu, ... Breast Disease 42 (1), 59-66, 2023 | 7 | 2023 |
| Comparative evaluation of tumor-infiltrating lymphocytes in companion animals: immuno-oncology as a relevant translational model for cancer therapy CJ Pinard, A Lagree, FI Lu, J Klein, ML Oblak, R Salgado, JCP Cardenas, ... Cancers 14 (20), 5008, 2022 | 6 | 2022 |
| A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks. Sci. Rep. 11, 8025 (2021) A Lagree, M Mohebpour, N Meti, K Saednia, FI Lu, E Slodkowska, ... | 5 | 2021 |
| Drivers of Emergency Department Use Among Oncology Patients in the Era of Novel Cancer Therapeutics: A Systematic Review L Fleshner, A Lagree, A Shiner, MA Alera, M Bielecki, R Grant, A Kiss, ... The Oncologist 28 (12), 1020-1033, 2023 | 2 | 2023 |
| Predictive models for neoadjuvant chemotherapy response in breast cancer patients using quantitative digital pathology imaging biomarkers T Wu, S Tabbarah, A Lagree, W Tran Journal of medical imaging and radiation sciences 51 (3), S12, 2020 | 2 | 2020 |
| Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning A Shiner, A Kiss, K Saednia, KJ Jerzak, S Gandhi, FI Lu, U Emmenegger, ... Genes 14 (9), 1768, 2023 | | 2023 |
| Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning. Genes 2023, 14, 1768 A Shiner, A Kiss, K Saednia, KJ Jerzak, S Gandhi, FI Lu, U Emmenegger, ... | | 2023 |
| Measurement of Tumour Nuclear Area by Artificial Intelligence is Associated with Residual Cancer Burden Index After Neoadjuvant Chemotherapy in Estrogen Receptor Positive … D Dodington, A Lagree, S Tabbarah, M Mohebpour, A Sadeghi-Naini, ... LABORATORY INVESTIGATION 101 (SUPPL 1), 94-94, 2021 | | 2021 |
| Quantitative Digital Pathology Biomarkers of Neoadjuvant Therapy Response in Breast Cancer W Tran, F Lu, S Tabbarah, A Lagree, D Dodington, K Jerzak, S Gandhi, ... Radiotherapy & Oncology 152 (S1), S277-S278, 2020 | | 2020 |
| Thermoradiomic Markers of Radiation-Induced Skin Toxicity: Updated Results of a Phase II Study K Saednia, S Tabbarah, A Lagree, T Wu, J Klein, E Garcia, M Hall, ... Journal of Medical Imaging and Radiation Sciences 51 (3), S3, 2020 | | 2020 |
| Automatic Tumor Nuclei Detection in Core Biopsies by Artificial Intelligence Can Predict Response to Neoadjuvant Chemotherapy in High Risk Breast Cancer Patients D Dodington, A Lagree, S Tabbarah, T Wu, C Hoey, W Tran, FI Lu LABORATORY INVESTIGATION 100 (SUPPL 1), 134-135, 2020 | | 2020 |
