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- 2025
-
Mark
Enhancing the Prediction of Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Routine Full-Breast Mammograms
2025) In Breast Cancer Research(
- Working paper/Preprint › Preprint in preprint archive
- 2024
-
Mark
Facilitating clinically relevant skin tumor diagnostics with spectroscopy-driven machine learning
(
- Contribution to journal › Article
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Mark
Identification of sentinel lymph node macrometastasis in breast cancer by deep learning based on clinicopathological characteristics
(
- Contribution to journal › Article
- 2021
-
Mark
A community effort to identify and correct mislabeled samples in proteogenomic studies
(
- Contribution to journal › Article
- 2019
-
Mark
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
(
- Contribution to journal › Article
-
Mark
Artificial neural network models to predict nodal status in clinically node-negative breast cancer
(
- Contribution to journal › Article
- 2018
-
Mark
Identification and validation of single-sample breast cancer radiosensitivity gene expression predictors
(
- Contribution to journal › Article
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Mark
A multicenter study investigating the molecular fingerprint of psychological resilience in breast cancer patients : Study protocol of the SCAN-B resilience study
(
- Contribution to journal › Article
- 2015
-
Mark
Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis.
(
- Contribution to journal › Article
-
Mark
Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms
(
- Contribution to journal › Article