Patrik Edén

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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
Zhang, Daqu ^LU ; Dihge, Looket ^LU ; Bendahl, Pär-Ola ^LU ; Arvidsson, Ida ^LU ; Dustler, Magnus ^LU ; Ellbrant, Julia ^LU ; Gulis, Kim ^LU ; Hjärtström, Malin ^LU ; Ohlsson, Mattias ^LU and Rejmer, Cornelia ^LU , et al. (2025) In Breast Cancer Research
- Working paper/Preprint › Preprint in preprint archive
2024
Mark Identification of sentinel lymph node macrometastasis in breast cancer by deep learning based on clinicopathological characteristics
Zhang, Daqu ^LU ; Svensson, Miriam ^LU ; Edén, Patrik ^LU and Dihge, Looket ^LU (2024) In Scientific Reports 14.
- Contribution to journal › Article
Mark Facilitating clinically relevant skin tumor diagnostics with spectroscopy-driven machine learning
Andersson, Emil ^LU ; Hult, Jenny ^LU ; Troein, Carl ^LU ; Stridh, Magne ^LU ; Sjögren, Benjamin ^LU ; Pekar-Lukacs, Agnes ^LU ; Hernandez-Palacios, Julio ; Edén, Patrik ^LU ; Persson, Bertil ^LU and Olariu Annell, Victor ^LU , et al. (2024) In iScience 27(5).
- Contribution to journal › Article
2021
Mark A community effort to identify and correct mislabeled samples in proteogenomic studies
Yoo, Seungyeul ; Shi, Zhiao ; Wen, Bo ; Kho, SoonJye ; Pan, Renke ; Feng, Hanying ; Chen, Hong ; Carlsson, Anders ^LU ; Edén, Patrik ^LU and Ma, Weiping , et al. (2021) In Patterns 2(5).
- Contribution to journal › Article
2019
Mark Artificial neural network models to predict nodal status in clinically node-negative breast cancer
Dihge, Looket ^LU ; Ohlsson, Mattias ^LU ; Edén, Patrik ^LU ; Bendahl, Pär Ola ^LU and Rydén, Lisa ^LU (2019) In BMC Cancer 19(1).
- Contribution to journal › Article
Mark Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
Abiri, Najmeh ^LU ; Linse, Björn ^LU ; Edén, Patrik ^LU and Ohlsson, Mattias ^LU (2019) In Neurocomputing 365. p.137-146
- Contribution to journal › Article
2018
Mark Identification and validation of single-sample breast cancer radiosensitivity gene expression predictors
Sjöström, Martin ^LU ; Staaf, Johan ^LU ; Edén, Patrik ^LU ; Wärnberg, Fredrik ; Bergh, Jonas ; Malmström, Per ^LU ; Fernö, Mårten ^LU ; Niméus, Emma ^LU and Fredriksson, Irma (2018) In Breast Cancer Research 20(1).
- Contribution to journal › Article
Mark A multicenter study investigating the molecular fingerprint of psychological resilience in breast cancer patients : Study protocol of the SCAN-B resilience study
Axelsson, Ulrika ^LU ; Rydén, Lisa ^LU ; Johnsson, Per ^LU ; Edén, Patrik ^LU ; Månsson, Johanna ^LU ; Hallberg, Ingalill Rahm ^LU and Borrebaeck, Carl A.K. ^LU (2018) In BMC Cancer 18(1).
- Contribution to journal › Article
2015
Mark Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis.
Pina, Cristina ; Teles, José ^LU ; Fugazza, Cristina ; May, Gillian ; Wang, Dapeng ; Guo, Yanping ; Soneji, Shamit ^LU ; Brown, John ; Edén, Patrik ^LU and Ohlsson, Mattias ^LU , et al. (2015) In Cell Reports 11(10). p.1503-1510
- Contribution to journal › Article
Mark Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms
Kalderstam, Jonas ^LU ; Edén, Patrik ^LU and Ohlsson, Mattias ^LU (2015) In PLoS ONE 10(9).
- Contribution to journal › Article

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