Arvid Lundervold, BSc, MD, PhD

Arvid Lundervold, BSc, MD, PhD

Universitetet i Bergen

H-index: 49

Europe-Norway

About Arvid Lundervold, BSc, MD, PhD

Arvid Lundervold, BSc, MD, PhD, With an exceptional h-index of 49 and a recent h-index of 28 (since 2020), a distinguished researcher at Universitetet i Bergen, specializes in the field of Neuroinformatics, Machine learning, Neuroimaging, Computational medicine.

His recent articles reflect a diverse array of research interests and contributions to the field:

Brain asymmetries from mid-to late life and hemispheric brain age

Cognitive function in patients with irritable bowel syndrome: impairment is common and only weakly correlated with depression/anxiety and severity of gastrointestinal symptoms

Distinct longitudinal brain white matter microstructure changes and associated polygenic risk of common psychiatric disorders and Alzheimer’s disease in the UK Biobank

A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome

Brain age estimates from different white matter microstructure features associate concordantly with bio-psycho-social factors.

Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants

Fornix and forceps are key regions of white matter brain age

Assessment of self-reported executive function in patients with irritable bowel syndrome using a machine-learning framework

Arvid Lundervold, BSc, MD, PhD Information

University

Position

___

Citations(all)

11009

Citations(since 2020)

5170

Cited By

7572

hIndex(all)

49

hIndex(since 2020)

28

i10Index(all)

119

i10Index(since 2020)

71

Email

University Profile Page

Universitetet i Bergen

Google Scholar

View Google Scholar Profile

Arvid Lundervold, BSc, MD, PhD Skills & Research Interests

Neuroinformatics

Machine learning

Neuroimaging

Computational medicine

Top articles of Arvid Lundervold, BSc, MD, PhD

Title

Journal

Author(s)

Publication Date

Brain asymmetries from mid-to late life and hemispheric brain age

Nature Communications

Max Korbmacher

Dennis van der Meer

Dani Beck

Ann-Marie G de Lange

Eli Eikefjord

...

2024/2/1

Cognitive function in patients with irritable bowel syndrome: impairment is common and only weakly correlated with depression/anxiety and severity of gastrointestinal symptoms

Scandinavian Journal of Gastroenterology

Julie Billing

Birgitte Berentsen

Arvid Lundervold

Eline MR Hillestad

Gülen A Lied

...

2024/1/2

Distinct longitudinal brain white matter microstructure changes and associated polygenic risk of common psychiatric disorders and Alzheimer’s disease in the UK Biobank

medRxiv

Max Korbmacher

Dennis van der Meer

Dani Beck

Daniel E Askeland-Gjerde

Eli Nina Eikefjord

...

2023

A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome

Open Research Europe

Noman Haleem

Astri J Lundervold

Gülen Arslan Lied

Eline Margrete Randulff Hillestad

Maja Bjorkevoll

...

2023

Brain age estimates from different white matter microstructure features associate concordantly with bio-psycho-social factors.

Max Korbmacher

Tiril Pedersen Gurholt

Ann-Marie Glasø de Lange

Dennis van der Meer

Dani Beck

...

2023

Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants

Frontiers in Psychology

Max Korbmacher

Tiril P Gurholt

Ann-Marie G de Lange

Dennis van der Meer

Dani Beck

...

2023/6/9

Fornix and forceps are key regions of white matter brain age

Max Korbmacher

Ann-Marie Glasø de Lange

Dennis van der Meer

Dani Beck

Eli Nina Hølleland Eikefjord

...

2023

Assessment of self-reported executive function in patients with irritable bowel syndrome using a machine-learning framework

Journal of Clinical Medicine

Astri J Lundervold

Eline MR Hillestad

Gülen Arslan Lied

Julie Billing

Tina E Johnsen

...

2023/5/31

White matter microstructure is predictive of cardiometabolic health

Max Korbmacher

Tiril Pedersen Gurholt

Ann-Marie Glasø de Lange

Dennis van der Meer

Dani Beck

...

2023

PD-0316 Deep learning tumor segmentation for target delineation in glioblastoma using multi-parametric MRI

Radiotherapy and Oncology

M Hannisdal

D Goplen

S Alam

J Haasz

L Oltedal

...

2023/5/1

Exploiting Deep Learning to Enhance Tumour-conformed Delineation and Reduced Isotropic Margin in Radiotherapy: Updated ESTRO-EANO Guidelines

Clinical Oncology

MH Hannisdal

D Goplen

A Lundervold

M Chekenya

2023/10/1

Neuro-Oncology Advances

Masafumi Miyai

Tomohiro Kanayama

Fuminori Hyodo

Takamasa Kinoshita

Takuma Ishihara

...

2020

Personalized prognosis & treatment using Ledley-Jaynes machines: An example study on conversion from Mild Cognitive Impairment to Alzheimer's Disease

PierGianLuca Porta Mana

Ingrid Rye

Alexandra Vik

Marek Kociński

Astri Johansen Lundervold

...

2023/1/26

Brain asymmetries from midlife to old adulthood and hemispheric brain age

M Korbmacher

D van der Meer

D Beck

A de Lange

E Eikefjord

...

2023/8/22

Feasibility of deep learning-based tumor segmentation for target delineation and response assessment in grade-4 glioma using multi-parametric MRI

Neuro-Oncology Advances

Marianne H Hannisdal

Dorota Goplen

Saruar Alam

Judit Haasz

Leif Oltedal

...

2023/1/1

Regional grey and white matter asymmetry decreases at higher ages

Max Korbmacher

Ann-Marie Glasø de Lange

Dennis van der Meer

Dani Beck

Eli Nina Hølleland Eikefjord

...

2023

Brain‐wide associations between white matter and age highlight the role of fornix microstructure in brain ageing

Human brain mapping

Max Korbmacher

Ann Marie de Lange

Dennis van der Meer

Dani Beck

Eli Eikefjord

...

2023/7

Whole kidney and renal cortex segmentation in contrast-enhanced MRI using a joint classification and segmentation convolutional neural network

Biocybernetics and Biomedical Engineering

Artur Klepaczko

Marcin Majos

Ludomir Stefańczyk

Eli Eikefjord

Arvid Lundervold

2022/1/1

Gut bless you: The microbiota-gut-brain axis in irritable bowel syndrome

Eline Margrete Randulff Hillestad

Aina van der Meeren

Bharat Halandur Nagaraja

Ben René Bjørsvik

Noman Haleem

...

2022/1/1

Deep convolutional neural networks in application to kidney segmentation in the DCE-MR images

Artur Klepaczko

Eli Eikefjord

Arvid Lundervold

2021/6/9

See List of Professors in Arvid Lundervold, BSc, MD, PhD University(Universitetet i Bergen)

Co-Authors

H-index: 186
Anders M. Dale

Anders M. Dale

University of California, San Diego

H-index: 130
Bruce Fischl or B Fischl

Bruce Fischl or B Fischl

Harvard University

H-index: 109
Kenneth Hugdahl

Kenneth Hugdahl

Universitetet i Bergen

H-index: 101
Nikos Makris

Nikos Makris

Harvard University

H-index: 87
Lars Tjelta Westlye

Lars Tjelta Westlye

Universitetet i Oslo

H-index: 83
Kristine Beate Walhovd

Kristine Beate Walhovd

Universitetet i Oslo

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