Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using deep learning with integrative imaging, molecular and demographic data H Duanmu, PB Huang, S Brahmavar, S Lin, T Ren, J Kong, F Wang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 50 | 2020 |
Convolutional neural network detection of axillary lymph node metastasis using standard clinical breast MRI T Ren, R Cattell, H Duanmu, P Huang, H Li, R Vanguri, MZ Liu, ... Clinical breast cancer 20 (3), e301-e308, 2020 | 46 | 2020 |
Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre-and early treatment predicts pathologic complete response L Hussain, P Huang, T Nguyen, KJ Lone, A Ali, MS Khan, H Li, DY Suh, ... BioMedical Engineering OnLine 20, 1-23, 2021 | 37 | 2021 |
Convolutional neural network of multiparametric MRI accurately detects axillary lymph node metastasis in breast cancer patients with pre neoadjuvant chemotherapy T Ren, S Lin, P Huang, TQ Duong Clinical breast cancer 22 (2), 170-177, 2022 | 32 | 2022 |
Deep learning prediction of pathologic complete response in breast cancer using MRI and other clinical data: a systematic review N Khan, R Adam, P Huang, T Maldjian, TQ Duong Tomography 8 (6), 2784-2795, 2022 | 17 | 2022 |
MRI volume changes of axillary lymph nodes as predictor of pathologic complete responses to neoadjuvant chemotherapy in breast cancer RF Cattell, JJ Kang, T Ren, PB Huang, A Muttreja, S Dacosta, H Li, L Baer, ... Clinical breast cancer 20 (1), 68-79. e1, 2020 | 14 | 2020 |
Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Deep Learning with Integrative Imaging, Molecular and Demographic Data H Duanmu, PB Huang, S Brahmavar, L Lin, T Ren, J Kong, F Wang, ... Proceedings of the 3rd International Conference on Medical Image Computing …, 2020 | 2 | 2020 |
Artificial Intelligence for Predicting Pathological Complete Response to Neoadjuvant Chemotherapy from MRI and Prognostic Clinical Features H Duanmu, P Huang, S Brahmavar, F Wang, TQ Duong | | |
MRI Staging of Axillary Lymph Node Post Neoadjuvant Chemotherapy Predicts Pathological Complete Response RF Cattell, J Leong, T Ren, J Kang, P Huang, A Muttreja, H Li, A Katukota, ... | | |
Artificial Intelligence Prediction of Breast Cancer Pathologic Complete Response from Axillary Lymph Node MRIs J Yang, T Ren, H Duanmu, P Huang, R Cattell, H Li, F Wang, TQ Duong | | |
MRI texture analysis for detection of axillary lymph node metastasis in breast cancer patients R Cattell, V Zhang, P Huang, M Italo, J Kang, J Ha, H Li, J Cohen, L Baer, ... | | |
Statistical prediction of recurrence-free survival at 10 years in breast cancer patients I Punn, R Cattell, P Huang, J Kang, T Ren, V Talanki, A Muttreja, ... | | |
MRI and PET for staging of axillary lymph nodes in breast cancer at diagnosis P Huang, R Cattell, M Moriarty, K Chen, L Bangiyev, C Bernstein, J Cohen, ... | | |
Kaplan-Meier survival curves in breast cancer patients: contributions of nodal volume, tumor volume, residual disease, and response to chemotherapy RF Cattell, P Huang, J Kang, T Ren, A Muttreja, H Li, J Cohen, L Baer, ... | | |
This abstract and the presentation materials are available to members only; a login is required. H Duanmu, P Huang, S Brahmavar, F Wang, TQ Duong | | |
The effects of neoadjuvant chemotherapy on axillary lymph node volume and compacity in breast cancer patients: an MRI study RF Cattell, K Patel, T Ren, J Kang, P Huang, J Ha, A Muttreja, J Cohen, ... | | |
Pre-chemo MRI staging of axillary lymph node metastasis in breast cancer: validation with PET P Huang, RF Cattell, J Leong, M Italo, J Ha, D Franceschi, J Cohen, H Li, ... | | |
Lymph Node Multi-parametric MRI Is a Strong Predictor of Pathologic Response to Chemotherapy: ACRIN/I-SPY Trial S Han, RF Cattell, JJ Kang, T Ren, PB Huang, H Li, JA Cohen, P Fisher, ... | | |
Lymph node multi-parametric MRI characteristics of responders and non-responders of neoadjuvant chemotherapy RF Cattell, JJ Kang, S Han, T Ren, PB Huang, H Li, JA Cohen, P Fisher, ... | | |