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Bioinformatics (Oxford, England)
|
April 28, 2020
OpenBioLink: a benchmarking framework for large-scale biomedical link prediction
Anna Breit, Simon Ott, Asan Agibetov, et al.
BMC Bioinformatics
|
December 23, 2018
Fast and scalable neural embedding models for biomedical sentence classification
Asan Agibetov, Kathrin Blagec, Hong Xu, et al.
BMC Bioinformatics
|
April 13, 2019
Neural sentence embedding models for semantic similarity estimation in the biomedical domain
Kathrin Blagec, Hong Xu, Asan Agibetov, et al.
Journal of Drug Targeting
|
December 2, 2024
Artificial intelligence-based molecular property prediction of photosensitising effects of drugs
Amun G Hofmann, Benedikt Weber, Sally Ibbotson, et al.
Journal of Clinical Medicine
|
July 14, 2023
Predicting Intraoperative Hypothermia Burden during Non-Cardiac Surgery: A Retrospective Study Comparing Regression to Six Machine Learning Algorithms
Christoph Dibiasi, Asan Agibetov, Lorenz Kapral, et al.
BMC Medical Research Methodology
|
December 19, 2021
The roles of predictors in cardiovascular risk models - a question of modeling culture?
Christine Wallisch, Asan Agibetov, Daniela Dunkler, et al.
Magnetic Resonance in Medicine
|
June 1, 2021
k-Space-based coil combination via geometric deep learning for reconstruction of non-Cartesian MRSI data
Stanislav Motyka, Lukas Hingerl, Bernhard Strasser, et al.
Transplantation Direct
|
November 2, 2020
Magnetic Resonance Imaging for Evaluation of Interstitial Fibrosis in Kidney Allografts
Andrea Beck-Tölly, Michael Eder, Dietrich Beitzke, et al.
Journal of Clinical Medicine
|
February 25, 2023
Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis
Razvan Bologheanu, Lorenz Kapral, Daniel Laxar, et al.
Journal of Biomedical Semantics
|
February 10, 2018
Supporting shared hypothesis testing in the biomedical domain
Asan Agibetov, Ernesto Jiménez-Ruiz, Marta Ondrésik, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Bioinformatics (Oxford, England)
|
April 28, 2020
OpenBioLink: a benchmarking framework for large-scale biomedical link prediction
Anna Breit, Simon Ott, Asan Agibetov, et al.
BMC Bioinformatics
|
December 23, 2018
Fast and scalable neural embedding models for biomedical sentence classification
Asan Agibetov, Kathrin Blagec, Hong Xu, et al.
BMC Bioinformatics
|
April 13, 2019
Neural sentence embedding models for semantic similarity estimation in the biomedical domain
Kathrin Blagec, Hong Xu, Asan Agibetov, et al.
Journal of Drug Targeting
|
December 2, 2024
Artificial intelligence-based molecular property prediction of photosensitising effects of drugs
Amun G Hofmann, Benedikt Weber, Sally Ibbotson, et al.
Journal of Clinical Medicine
|
July 14, 2023
Predicting Intraoperative Hypothermia Burden during Non-Cardiac Surgery: A Retrospective Study Comparing Regression to Six Machine Learning Algorithms
Christoph Dibiasi, Asan Agibetov, Lorenz Kapral, et al.
BMC Medical Research Methodology
|
December 19, 2021
The roles of predictors in cardiovascular risk models - a question of modeling culture?
Christine Wallisch, Asan Agibetov, Daniela Dunkler, et al.
Magnetic Resonance in Medicine
|
June 1, 2021
k-Space-based coil combination via geometric deep learning for reconstruction of non-Cartesian MRSI data
Stanislav Motyka, Lukas Hingerl, Bernhard Strasser, et al.
Transplantation Direct
|
November 2, 2020
Magnetic Resonance Imaging for Evaluation of Interstitial Fibrosis in Kidney Allografts
Andrea Beck-Tölly, Michael Eder, Dietrich Beitzke, et al.
Journal of Clinical Medicine
|
February 25, 2023
Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis
Razvan Bologheanu, Lorenz Kapral, Daniel Laxar, et al.
Journal of Biomedical Semantics
|
February 10, 2018
Supporting shared hypothesis testing in the biomedical domain
Asan Agibetov, Ernesto Jiménez-Ruiz, Marta Ondrésik, et al.
Page
of 2