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Bertil Wegmann

Associate Professor

Publications

2024

Chiara Trenti, Deneb Boito, Filip Hammaréus, Anders Eklund, Eva Swahn, Lena Jonasson, Bertil Wegmann, Petter Dyverfeldt (2024) Abnormal Patterns of Wall Shear Stress in Aortic Dilation Revealed by Permutation Tests Journal of Cardiovascular Magnetic Resonance, Vol. 26, Article 100612 (Article in journal) Continue to DOI
Joakim Alfredsson, Bertil Wegmann, Margareta Holmström, Carl Johan Östgren, A. Larsson, Tomas Lindahl (2024) Coagulation factor XI relative to established cardiovascular risk factors and atherosclerosis, in a large middle-aged population Thrombosis Research, Vol. 241, Article 109069 (Article in journal) Continue to DOI
Carl Edin, Mattias Ekstedt, Markus Karlsson, Bertil Wegmann, Marcel Warntjes, Eva Swahn, Carl Johan Östgren, Tino Ebbers, Peter Lundberg, Carl-Johan Carlhäll (2024) Liver fibrosis is associated with left ventricular remodeling: insight into the liver-heart axis European Radiology (Article in journal) Continue to DOI
Bertil Wegmann, Anders Lundquist, Anders Eklund, Mattias Villani (2024) Bayesian modelling of effective and functional brain connectivity using hierarchical vector autoregressions The Journal of the Royal Statistical Society, Series C: Applied Statistics (Article in journal) Continue to DOI

2023

Bertil Wegmann, Patricia Tatemoto, Stefan Miemczyk, Johnny Ludvigsson, Carlos Guerrero-Bosagna (2023) Identification of potentially relevant metals for the etiology of autism by using a Bayesian multivariate approach for partially censored values Scientific Reports, Vol. 13, Article 12622 (Article in journal) Continue to DOI

About the division

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The Division of Statistics and Machine Learning (STIMA)

The STIMA division is part of the Department of Computer and Information Science. The research and teaching activities are focused on modern data analysis and the division hosts the international master's programme in Statistics and Machine Learning.

Colleagues at STIMA

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Johan Alenlöv
Lecturer
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Martin Andrae
PhD student
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Sourabh Balgi
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Krzysztof Bartoszek
Senior Associate Professor
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Jonas Bjermo
Postdoc
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Bayu Brahmantio
PhD student
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Marc Braun
PhD student
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Gabriel Ducrocq
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Filip Ekström Kelvinius
PhD student
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Hariprasath Govindarajan
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Anders Grimvall
Professor Emeritus
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Ann-Charlotte Hallberg
Lecturer
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Isak Hietala
Lecturer
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Adhithyan Kalaivanan
PhD student
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Woodrow Hao Chi Kiang
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Erik Larsson
PhD student
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Fredrik Lindsten
Professor, Head of Division
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Sebastian Mair
Assistant Professor
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Lisa Menacher
PhD student
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Frank Miller
Professor, Head of Unit
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Shashi Nagarajan
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Louis Ohl
Postdoc
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Joel Oskarsson
PhD student
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Jose M Pena
Senior Associate Professor, Head of Unit
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Jolanta Pielaszkiewicz
Associate Professor
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Dong Qian
Postdoc
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Oleg Sysoev
Senior Associate Professor
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Annika Tillander
Associate Professor
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Josef Wilzén
Lecturer
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Linda Wänström
Associate Professor, Docent
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Zheng Zhao
Assistant Professor

About the department

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Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

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