Roland Kwitt

About Roland Kwitt

Roland Kwitt, With an exceptional h-index of 33 and a recent h-index of 25 (since 2020), a distinguished researcher at Universität Salzburg, specializes in the field of Machine Learning, Computer Vision, Medical Imaging.

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

uniGradICON: A Foundation Model for Medical Image Registration

Position Paper: Challenges and Opportunities in Topological Deep Learning

Latent sdes on homogeneous spaces

Inverse consistency by construction for multistep deep registration

GradICON: Approximate diffeomorphisms via gradient inverse consistency

On measuring excess capacity in neural networks

Topological attention for time series forecasting

Comparing object recognition in humans and deep convolutional neural networks—an eye tracking study

Roland Kwitt Information

University

Position

Professor Department of Computer Science Austria

Citations(all)

4468

Citations(since 2020)

3026

Cited By

2595

hIndex(all)

33

hIndex(since 2020)

25

i10Index(all)

62

i10Index(since 2020)

46

Email

University Profile Page

Google Scholar

Roland Kwitt Skills & Research Interests

Machine Learning

Computer Vision

Medical Imaging

Top articles of Roland Kwitt

uniGradICON: A Foundation Model for Medical Image Registration

arXiv preprint arXiv:2403.05780

2024/3/9

Latent sdes on homogeneous spaces

Advances in Neural Information Processing Systems

2024/2/13

Florian Graf
Florian Graf

H-Index: 1

Roland Kwitt
Roland Kwitt

H-Index: 21

Inverse consistency by construction for multistep deep registration

2023/10/1

GradICON: Approximate diffeomorphisms via gradient inverse consistency

2023

On measuring excess capacity in neural networks

Advances in Neural Information Processing Systems

2022/12/6

Topological attention for time series forecasting

Advances in neural information processing systems

2021/12/6

Comparing object recognition in humans and deep convolutional neural networks—an eye tracking study

Frontiers in Neuroscience

2021/10/6

Roland Kwitt
Roland Kwitt

H-Index: 21

New Weighting Schemes for Meta-blocking

2021/10/1

Dissecting Supervised Contrastive Learning

2021/7/1

Sparse Pose Trajectory Completion

arXiv preprint arXiv:2105.00125

2021/5/1

Icon: Learning regular maps through inverse consistency

2021/5/10

A Shooting Formulation of Deep Learning

2020/12/6

Roland Kwitt
Roland Kwitt

H-Index: 21

Marc Niethammer
Marc Niethammer

H-Index: 29

Topologically densified distributions

2020/11/21

Graph filtration learning

2020/11/21

An empirical assessment of appearance descriptors applied to MRI for automated diagnosis of TLE and MCI

Computers in Biology and Medicine

2020/2/1

Christoph Hofer
Christoph Hofer

H-Index: 6

Roland Kwitt
Roland Kwitt

H-Index: 21

See List of Professors in Roland Kwitt University(Universität Salzburg)

Co-Authors

academic-engine