Antonella Zanna Munthe-Kaas

Antonella Zanna Munthe-Kaas

Universitetet i Bergen

H-index: 24

Europe-Norway

About Antonella Zanna Munthe-Kaas

Antonella Zanna Munthe-Kaas, With an exceptional h-index of 24 and a recent h-index of 12 (since 2020), a distinguished researcher at Universitetet i Bergen, specializes in the field of Numerical analysis, geometric integration, differential equations, medical image processing, machine learning.

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

Perfusion estimation using synthetic MRI-based measurements and a porous media flow model

Perfusion estimation using MRI-based measurements and a porous media flow model

Symplectic P-stable additive Runge—Kutta methods

Epistemic uncertainty quantification in deep learning classification by the Delta method

Symplectic GARK methods for Hamiltonian systems

Automated segmentation of endometrial cancer on MR images using deep learning

A comparison of the delta method and the bootstrap in deep learning classification

A Multi-Scale Flow Model for Studying Blood Circulation in Vascular System

Antonella Zanna Munthe-Kaas Information

University

Position

Professor in Numerical Analysis

Citations(all)

2658

Citations(since 2020)

643

Cited By

2204

hIndex(all)

24

hIndex(since 2020)

12

i10Index(all)

43

i10Index(since 2020)

15

Email

University Profile Page

Universitetet i Bergen

Google Scholar

View Google Scholar Profile

Antonella Zanna Munthe-Kaas Skills & Research Interests

Numerical analysis

geometric integration

differential equations

medical image processing

machine learning

Top articles of Antonella Zanna Munthe-Kaas

Title

Journal

Author(s)

Publication Date

Perfusion estimation using synthetic MRI-based measurements and a porous media flow model

PLOS Computational Biology

Rolf Johan Lorentzen

Geir Nævdal

Ove Sævareid

Erlend Hodneland

Erik Andreas Hanson

...

2023/10/2

Perfusion estimation using MRI-based measurements and a porous media flow model

bioRxiv

Rolf J Lorentzen

Geir Nævdal

Ove Sævareid

Erlend Hodneland

Erik Hanson

...

2023/4/28

Symplectic P-stable additive Runge—Kutta methods

Journal of Computational Dynamics

Antonella Zanna

2022/3/31

Epistemic uncertainty quantification in deep learning classification by the Delta method

Neural networks

Geir K Nilsen

Antonella Z Munthe-Kaas

Hans J Skaug

Morten Brun

2022/1/1

Symplectic GARK methods for Hamiltonian systems

arXiv preprint arXiv:2103.04110

Michael Günther

Adrian Sandu

Antonella Zanna

2021/3/6

Automated segmentation of endometrial cancer on MR images using deep learning

Scientific reports

Erlend Hodneland

Julie A Dybvik

Kari S Wagner-Larsen

Veronika Šoltészová

Antonella Z Munthe-Kaas

...

2021/1/8

A comparison of the delta method and the bootstrap in deep learning classification

arXiv preprint arXiv:2107.01606

Geir K Nilsen

Antonella Z Munthe-Kaas

Hans J Skaug

Morten Brun

2021/7/4

A Multi-Scale Flow Model for Studying Blood Circulation in Vascular System

Ulin Nuha Abdul Qohar

Antonella Zanna Munthe-Kaas

Jan Martin Nordbotten

Erik Andreas Hanson

2020/8/22

A multi-scale flow model for blood regulation in a realistic vascular system

Ulin Nuha Abdul Qohar

Antonella Zanna Munthe-Kaas

Jan Martin Nordbotten

Erik Andreas Hanson

2020/2/11

Discrete Variational Methods and Symplectic Generalized Additive Runge--Kutta Methods

arXiv preprint arXiv:2001.07185

Antonella Zanna

2020/1/20

See List of Professors in Antonella Zanna Munthe-Kaas University(Universitetet i Bergen)

Co-Authors

H-index: 51
Arieh Iserles

Arieh Iserles

University of Cambridge

H-index: 49
Jan Martin Nordbotten

Jan Martin Nordbotten

Universitetet i Bergen

H-index: 49
Arvid Lundervold, BSc, MD, PhD

Arvid Lundervold, BSc, MD, PhD

Universitetet i Bergen

H-index: 42
G R Quispel

G R Quispel

La Trobe University

H-index: 39
Robert McLachlan

Robert McLachlan

Massey University

H-index: 33
Jan Modersitzki

Jan Modersitzki

Universität zu Lübeck

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