Lauge Sørensen

Lauge Sørensen

Københavns Universitet

H-index: 22

Europe-Denmark

About Lauge Sørensen

Lauge Sørensen, With an exceptional h-index of 22 and a recent h-index of 19 (since 2020), a distinguished researcher at Københavns Universitet, specializes in the field of medical image analysis, pattern recognition, imaging biomarkers, Alzheimer's disease, COPD.

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

CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data

Augmentation based unsupervised domain adaptation

Lesion-wise evaluation for effective performance monitoring of small object segmentation

Robust parametric modeling of Alzheimer’s disease progression

Disease progression modeling‐based prediction of cognitive decline: Neuroimaging/Optimal neuroimaging measures for tracking disease progression

Inflammatory pathway analytes predicting rapid cognitive decline in MCI stage of Alzheimer’s disease

Chronic obstructive pulmonary disease quantification using CT texture analysis and densitometry: results from the Danish lung cancer screening trial

The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up

Lauge Sørensen Information

University

Position

Associate Professor at Senior Researcher at Biomediq A/S and Cerebriu A/S

Citations(all)

2428

Citations(since 2020)

1473

Cited By

1602

hIndex(all)

22

hIndex(since 2020)

19

i10Index(all)

33

i10Index(since 2020)

27

Email

University Profile Page

Københavns Universitet

Google Scholar

View Google Scholar Profile

Lauge Sørensen Skills & Research Interests

medical image analysis

pattern recognition

imaging biomarkers

Alzheimer's disease

COPD

Top articles of Lauge Sørensen

Title

Journal

Author(s)

Publication Date

CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data

IEEE Transactions on Neural Networks and Learning Systems

Mostafa Mehdipour Ghazi

Lauge Sørensen

Sébastien Ourselin

Mads Nielsen

2022/6/6

Augmentation based unsupervised domain adaptation

arXiv preprint arXiv:2202.11486

Mauricio Orbes-Arteaga

Thomas Varsavsky

Lauge Sorensen

Mads Nielsen

Akshay Pai

...

2022/2/23

Lesion-wise evaluation for effective performance monitoring of small object segmentation

Irme Groothuis

Carole H Sudre

Silvia Ingala

Jo Barnes

Juan Domingo Gispert

...

2021/2/15

Robust parametric modeling of Alzheimer’s disease progression

NeuroImage

Mostafa Mehdipour Ghazi

Mads Nielsen

Akshay Pai

Marc Modat

M Jorge Cardoso

...

2021/1/15

Disease progression modeling‐based prediction of cognitive decline: Neuroimaging/Optimal neuroimaging measures for tracking disease progression

Alzheimer's & Dementia

Mostafa Mehdipour Ghazi

Lauge Sørensen

Akshay Pai

Jorge Cardoso

Marc Modat

...

2020/12

Inflammatory pathway analytes predicting rapid cognitive decline in MCI stage of Alzheimer’s disease

Annals of Clinical and Translational Neurology

Jagan A Pillai

James Bena

Gurkan Bebek

Lynn M Bekris

Aaron Bonner‐Jackson

...

2020/7

Chronic obstructive pulmonary disease quantification using CT texture analysis and densitometry: results from the Danish lung cancer screening trial

American Journal of Roentgenology

Lauge Sørensen

Mads Nielsen

Jens Petersen

Jesper H Pedersen

Asger Dirksen

...

2020/6

The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up

arXiv preprint arXiv:2002.03419

Razvan V Marinescu

Neil P Oxtoby

Alexandra L Young

Esther E Bron

Arthur W Toga

...

2020/2/9

See List of Professors in Lauge Sørensen University(Københavns Universitet)