1 – 10 of 25
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2025
-
Mark
External validation of a multivariable prediction model for positive resection margins in breast-conserving surgery
(
- Contribution to journal › Article
- 2024
-
Mark
The predictive value of MUSA features of adenomyosis on live birth is poor, using a machine learning algorithm
2024) ISUOG 34th World Congress on Ultrasound in Obstetrics and Gynecology - Budapest In Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 64(S1). p.88-89(
- Contribution to journal › Published meeting abstract
- 2023
-
Mark
External validation of the CREST model to predict early circulatory-etiology death after out-of-hospital cardiac arrest without initial ST-segment elevation myocardial infarction
(
- Contribution to journal › Article
-
Mark
Validating an advanced smartphone application for thermal advising in cold environments
(
- Contribution to journal › Article
-
Mark
Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning : the SCARS model
(
- 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
- 2022
-
Mark
Sound insulation of lightweight wooden floor structures : ANN model and sensitivity analysis
2022) 51st International Congress and Exposition on Noise Control Engineering, Internoise 2022(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Prediction of Sound Insulation Using Artificial Neural Networks—Part II : Lightweight Wooden Façade Structures
(
- Contribution to journal › Article
-
Mark
Prediction of Sound Insulation Using Artificial Neural Networks—Part I : LightweightWooden Floor Structures
(
- Contribution to journal › Article
-
Mark
The Risk of Endometrial Malignancy and Other Endometrial Pathology in Women with Abnormal Uterine Bleeding : An Ultrasound-Based Model Development Study by the IETA Group
(
- Contribution to journal › Article