Ida Skarping
0000-0002-1265-8649
19 papers found
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Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)
Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development
A prospective cohort study identifying radiologic and tumor related factors of importance for breast conserving surgery after neoadjuvant chemotherapy
The implementation of NILS: A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer
Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development (Preprint)
Noninvasive Staging of Lymph Node Status (NILS) in Breast Cancer using Machine Learning: External Validation and Further Model Development
The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer
The association between body mass index and pathological complete response in neoadjuvant-treated breast cancer patients
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)
The NILS study protocol - a retrospective validation study of a preoperative decision-making tool for non-invasive lymph node staging in women with primary breast cancer [ISRCTN14341750]
Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients: proof of concept
Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer
Mammographic density as an image-based biomarker of therapy response in neoadjuvant-treated breast cancer patients
Neoadjuvant breast cancer treatment response; tumor size evaluation through different conventional imaging modalities in the NeoDense study
Mammographic density changes during neoadjuvant breast cancer treatment: NeoDense, a prospective study in Sweden
Mammographic density is a potential predictive marker of pathological response after neoadjuvant chemotherapy in breast cancer
Association between uterine artery Doppler blood flow changes and arterial wall elasticity in pregnant women
Effects of statin use on volumetric mammographic density: results from the KARMA study
Abstract P3-07-04: Effects of statin use on volumetric mammographic density: Results from the Karolinska mammography project for risk prediction of breast cancer (KARMA) study
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