1 – 10 of 15
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2023
-
Mark
The implementation of NILS : A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer
(
- Contribution to journal › Article
-
Mark
A prospective cohort study identifying radiologic and tumor related factors of importance for breast conserving surgery after neoadjuvant chemotherapy
(
- Contribution to journal › Article
-
Mark
Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning : External Validation and Further Model Development
(
- Contribution to journal › Article
-
Mark
Mammographic density in relation to breast cancer recurrence and survival in women receiving neoadjuvant chemotherapy
(
- Contribution to journal › Article
- 2022
-
Mark
Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients : proof of concept
(
- Contribution to journal › Article
-
Mark
The NILS Study Protocol : A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer (ISRCTN14341750)
(
- Contribution to journal › Article
-
Mark
The association between body mass index and pathological complete response in neoadjuvant-treated breast cancer patients
(
- Contribution to journal › Article
-
Mark
The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer
(
- Contribution to journal › Article
- 2021
-
Mark
Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer
(
- Contribution to journal › Article
-
Mark
Mammographic density as an image-based biomarker of therapy response in neoadjuvant-treated breast cancer patients
(
- Contribution to journal › Article