Rasmus R. Paulsen

Rasmus R. Paulsen

Danmarks Tekniske Universitet

H-index: 23

Europe-Denmark

About Rasmus R. Paulsen

Rasmus R. Paulsen, With an exceptional h-index of 23 and a recent h-index of 18 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of Medical Image Analysis, Statistical Shape Analysis, Geometric deep learning, metric learning, cardiovascular diseases..

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

Signed Distance Field based Segmentation and Statistical Shape Modelling of the Left Atrial Appendage

Multi‐modal deep learning for joint prediction of otitis media and diagnostic difficulty

Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images

Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space Representation

Neural Representation of Open Surfaces

Inter-rater reliability of the diagnosis of otitis media based on otoscopic images and wideband tympanometry measurements

Deep reinforcement learning for detection of inner ear abnormal anatomy in computed tomography

Comparison of prospective and retrospective motion correction in 3D‐encoded neuroanatomical MRI

Rasmus R. Paulsen Information

University

Position

Associate Professor in Medical Image Analysis DTU Compute

Citations(all)

1858

Citations(since 2020)

1065

Cited By

1108

hIndex(all)

23

hIndex(since 2020)

18

i10Index(all)

48

i10Index(since 2020)

33

Email

University Profile Page

Danmarks Tekniske Universitet

Google Scholar

View Google Scholar Profile

Rasmus R. Paulsen Skills & Research Interests

Medical Image Analysis

Statistical Shape Analysis

Geometric deep learning

metric learning

cardiovascular diseases.

Top articles of Rasmus R. Paulsen

Title

Journal

Author(s)

Publication Date

Signed Distance Field based Segmentation and Statistical Shape Modelling of the Left Atrial Appendage

arXiv preprint arXiv:2402.07708

Kristine Aavild Juhl

Jakob Slipsager

Ole de Backer

Klaus Kofoed

Oscar Camara

...

2024/2/12

Multi‐modal deep learning for joint prediction of otitis media and diagnostic difficulty

Laryngoscope Investigative Otolaryngology

Josefine Vilsbøll Sundgaard

Morten Rieger Hannemose

Søren Laugesen

Peter Bray

James Harte

...

2024/2/8

Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images

Computerized Medical Imaging and Graphics

Paula López Diez

Josefine Vilsbøll Sundgaard

Jan Margeta

Khassan Diab

François Patou

...

2024/2/2

Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space Representation

Paula López Diez

Jan Margeta

Khassan Diab

François Patou

Rasmus R Paulsen

2023/10/1

Neural Representation of Open Surfaces

Computer Graphics Forum

Thor V Christiansen

Jakob Andreas Bærentzen

Rasmus R Paulsen

Morten R Hannemose

2023/8

Inter-rater reliability of the diagnosis of otitis media based on otoscopic images and wideband tympanometry measurements

International Journal of Pediatric Otorhinolaryngology

Josefine Vilsbøll Sundgaard

Maria Värendh

Franziska Nordström

Yosuke Kamide

Chiemi Tanaka

...

2022/2/1

Deep reinforcement learning for detection of inner ear abnormal anatomy in computed tomography

Paula López Diez

Kristine Sørensen

Josefine Vilsbøll Sundgaard

Khassan Diab

Jan Margeta

...

2022/9/16

Comparison of prospective and retrospective motion correction in 3D‐encoded neuroanatomical MRI

Magnetic resonance in medicine

Jakob M Slipsager

Stefan L Glimberg

Liselotte Højgaard

Rasmus R Paulsen

Paul Wighton

...

2022/2

Deep reinforcement learning for detection of abnormal anatomies

Proceedings of the Northern Lights Deep Learning Workshop

Paula López Diez

Kristine Aavild Juhl

Josefine Vilsbøll Sundgaard

Hassan Diab

Jan Margeta

...

2022/3/29

SparseMeshCNN with self-attention for segmentation of large meshes

Proceedings of the Northern Lights Deep Learning Workshop

Bjørn Hansen

Mathias Lowes

Thomas Ørkild

Anders Dahl

Vedrana Dahl

...

2022

NUDF: neural unsigned distance fields for high resolution 3D medical image segmentation

Kristine Sørensen

Oscar Camara

Ole De Backer

Klaus F Kofoed

Rasmus R Paulsen

2022/3/28

Apparatus and method for motion tracking in brain imaging

2022/11/22

A deep learning approach for detecting otitis media from wideband tympanometry measurements

IEEE journal of biomedical and health informatics

Josefine Vilsbøll Sundgaard

Peter Bray

Søren Laugesen

James Harte

Yosuke Kamide

...

2022/3/15

Accurate localization of inner ear regions of interests using deep reinforcement learning

Ana-Teodora Radutoiu

François Patou

Jan Margeta

Rasmus R Paulsen

Paula López Diez

2022/9/18

Multi-modal data generation with a deep metric variational autoencoder

arXiv preprint arXiv:2202.03434

Josefine Vilsbøll Sundgaard

Morten Rieger Hannemose

Søren Laugesen

Peter Bray

James Harte

...

2022/2/7

Was that so hard? estimating human classification difficulty

Morten Rieger Hannemose

Josefine Vilsbøll Sundgaard

Niels Kvorning Ternov

Rasmus R Paulsen

Anders Nymark Christensen

2022/9/18

Geometric deep learning for the assessment of thrombosis risk in the left atrial appendage

Xabier Morales

Jordi Mill

Guillem Simeon

Kristine A Juhl

Ole De Backer

...

2021/6/18

Estimation of apnea-hypopnea index using deep learning on 3-D craniofacial scans

IEEE Journal of Biomedical and Health Informatics

Umaer Hanif

Eileen B Leary

Logan D Schneider

Rasmus R Paulsen

Anne Marie Morse

...

2021/5/7

Exploring movement impairments in patients with Parkinson's disease using the Microsoft Kinect sensor: A feasibility study

Frontiers in Neurology

Ditte Rudå

Gudmundur Einarsson

Anne Sofie Schott Andersen

Jannik Boll Matthiassen

Christoph U Correll

...

2021/1/6

Implicit neural distance representation for unsupervised and supervised classification of complex anatomies

Kristine Aavild Juhl

Xabier Morales

Ole De Backer

Oscar Camara

Rasmus Reinhold Paulsen

2021

See List of Professors in Rasmus R. Paulsen University(Danmarks Tekniske Universitet)

Co-Authors

H-index: 70
Niels Morling

Niels Morling

Københavns Universitet

H-index: 53
Mauricio Reyes

Mauricio Reyes

Universität Bern

H-index: 38
Rasmus Larsen

Rasmus Larsen

Danmarks Tekniske Universitet

H-index: 37
Oscar Camara

Oscar Camara

Universidad Pompeu Fabra

H-index: 35
Miguel A. González Ballester

Miguel A. González Ballester

Universidad Pompeu Fabra

H-index: 26
Anders Bjorholm Dahl

Anders Bjorholm Dahl

Danmarks Tekniske Universitet

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