Ola Björnsson
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- 2024
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Mark
Direct MUSA features of adenomyosis impact live birth rates after first in vitro fertilization / intracytoplasmic sperm injection treatment
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.29-29(
- Contribution to journal › Published meeting abstract
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Mark
Indirect MUSA features of adenomyosis are associated with reduced chances of live birth after first in vitro fertilization treatment
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.30-30(
- Contribution to journal › Published meeting abstract
-
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
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Mark
Evaluation of closed-loop combustion phase optimization for varying fuel compensation and cylinder balancing in a HD SI-ICE
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- Contribution to journal › Article
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Mark
Predicting intensive care need in women with preeclampsia using machine learning–a pilot study
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- Contribution to journal › Article
- 2022
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Mark
Spark Ignition - Searching for the Optimal Spark Profile
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
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Mark
Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm
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- Contribution to journal › Article
- 2020
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Mark
Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care
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- Contribution to journal › Article