Martin Hylleholt Sillesen
Clinical Research Associate Professor, Clinical Associate Professor
- 2024
- Published
An assessment of the value of deep neura networks in genetic risk prediction for surgically relevant outcomes
Christensen, M. A., Sigurdsson, Arnór Ingi, Bonde, A., Rasmussen, Simon, Ostrowski, Sisse Rye, Nielsen, Mads & Sillesen, Martin Hylleholt, 2024, In: PLoS ONE. 19, 7, e0294368.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Assessing the utility of deep neural networks in detecting superficial surgical site infections from free text electronic health record data
Bonde, A., Lorenzen, S., Brixen, G., Troelsen, Anders & Sillesen, Martin Hylleholt, 2024, In: Frontiers in Digital Health. 5, 9 p., 1249835.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Assessing the utility of natural language processing for detecting postoperative complications from free medical text
Dencker, E. E., Bonde, A., Troelsen, Anders & Sillesen, Martin Hylleholt, 2024, In: BJS open. 8, 2, 8 p., zrae020.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Perioperative factors associated with survival following surgery for pancreatic cancer – a nationwide analysis of 473 cases from Denmark.
Spore, L. M., Dencker, E. E., Aasvang, Eske Kvanner, Hansen, C. P., gpq516, gpq516, Krohn, P. S., Kollbeck, S. L. G., Storkholm, J. H. & Sillesen, Martin Hylleholt, 2024, In: BMC Surgery. 24, 1, 11 p., 76.Research output: Contribution to journal › Journal article › Research › peer-review
- E-pub ahead of print
Reinforcement learning-based anatomical maps for pancreas subregion and duct segmentation
Amiri, S., Vrtovec, T., Mustafaev, T., Deufel, C. L., Thomsen, Henrik S., Sillesen, Martin Hylleholt, Brandt, E. G. S., Andersen, Michael Brun, Müller, C. F. & Ibragimov, Bulat, 2024, (E-pub ahead of print) In: Medical Physics.Research output: Contribution to journal › Journal article › Research › peer-review
- 2023
- Published
Assessing optimal methods for transferring machine learning models to low-volume and imbalanced clinical datasets: experiences from predicting outcomes of Danish trauma patients
Millarch, A. S., Bonde, A., Bonde, M., Klein, Kiril Vadimovic, Folke, Fredrik, Rudolph, S. S. & Sillesen, Martin Hylleholt, 2023, In: Frontiers in Digital Health. 5, 1249258.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Assessing the utility of a sliding-windows deep neural network approach for risk prediction of trauma patients
Bonde, A., Bonde, M., Troelsen, Anders & Sillesen, Martin Hylleholt, 2023, In: Scientific Reports. 13, 5176.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Association of Trauma with Long-Term Risk of Death and Immune-Mediated or Cancer Disease in Same-Sex Twins
Eskesen, T. O., Sillesen, Martin Hylleholt, Pedersen, J. K., Pedersen, D. A., Christensen, K., Rasmussen, L. S. & Steinmetz, Jacob, 2023, In: JAMA Surgery. 158, 7, p. 738-745 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Genetic risk factors for postoperative atrial fibrillation—a nationwide genome-wide association study (GWAS)
Christensen, M. A., Bonde, A. & Sillesen, Martin Hylleholt, 2023, In: Frontiers in Cardiovascular Medicine. 10, 8 p., 1040757.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Impact of para aortic lymph node removal on survival following resection for pancreatic adenocarcinoma
Sillesen, Martin Hylleholt, Hansen, C. P., gpq516, gpq516, Dencker, E. E., Krohn, P. S., Gisela Kollbeck, S. L., Stender, M. T. & Storkholm, J. H., 2023, In: BMC Surgery. 23, 1, 214.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 232692310
Most downloads
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265
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
60
downloads
Effect of hospital-admission volume on outcomes following acute non-variceal upper gastrointestinal bleeding
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
56
downloads
Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark
Research output: Contribution to journal › Journal article › Research › peer-review
Published