Roland Kwitt

Assoz. Prof. Priv.-Doz. Dipl.-Ing. Dr.

20072020

Research output per year

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Personal profile

Research interests

My primary area of research is machine learning, in particular, the development of principled mechanisms that facilitate to leverage the inherent structure in various types of data (such as images or graphs). 

Further info

Further (academic) profiles:

Education/Academic qualification

Computer Science, Habilitation (venia docendi), University of Salzburg

Award Date: 15 May 2017

Computer Science, Dr. techn., University of Salzburg

1 Mar 20074 Aug 2010

Award Date: 4 Aug 2010

Computer Science, Dipl.-Ing., University of Salzburg

1 Sep 200526 Jan 2007

Award Date: 26 Jan 2007

External positions

Kitware Inc.

1 Nov 20111 Oct 2013

Keywords

  • QA75 Electronic computers. Computer science
  • Machine learning
  • Computer Vision

Fields of Science and Technology Classification 2012 (Level 2, 3-digit codes).

  • 102 Computer Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects

Research Output

  • 49 Conference contribution
  • 23 Article
  • 1 Chapter in Book

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

Hofer, C., Kwitt, R., Höller, Y., Trinka, E. & Uhl, A., 1 Feb 2020, In : Computers in Biology and Medicine. 117, 103592.

Research output: Contribution to journalArticle

Connectivity-Optimized Representation Learning via Persistent Homology

Kwitt, R., Hofer, C., Niethammer, M. & Dixit, M., 2019, Proceedings of Machine Learning Research: Proceedings of the 36th International Conference on Machine Learning. Vol. 97. p. 2751-2760 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access

Deep Multi-View Learning via Task-Optimal CCA

Couture, H. D., Kwitt, R., Marron, J. S., Troester, M., Perou, C. M. & Niethammer, M., 17 Jul 2019, In : arXiv.

Research output: Contribution to journalArticle

Fast predictive simple geodesic regression

Ding, Z., Fleishman, G., Yang, X., Thompson, P., Kwitt, R. & Niethammer, M., 1 Aug 2019, In : Medical Image Analysis. 56, p. 193-209 17 p.

Research output: Contribution to journalArticle

Image-Based Methods for Phase Estimation, Gating, and Temporal Superresolution of Cardiac Ultrasound

Chittajallu, D. R., McCormick, M., Gerber, S., Czernuszewicz, T. J., Gessner, R., Willis, M. S., Niethammer, M., Kwitt, R. & Aylward, S. R., 1 Jan 2019, In : IEEE Transactions on Biomedical Engineering. 66, 1, p. 72-79 8 p., 8345790.

Research output: Contribution to journalArticle

Prizes

File

Activities

  • 2 Organising an event
  • 1 Appointment commitee
  • 1 Oral presentation

Deep Homological Learning

Roland Kwitt (Speaker)

17 Sep 2019

Activity: Talk or presentationOral presentationscience to science / art to art

Appointment commitee member

Roland Kwitt (Examiner)

21 Dec 20179 Apr 2018

Activity: Examination and commission activityAppointment commitee

OAGM/AAPR Workshop

Roland Kwitt (Chair)

28 May 201529 May 2015

Activity: Participating in or organising an eventOrganising an event

Information Hiding and Multimedia Security Workshop (IH&MMSec'14)

Roland Kwitt (Chair)

11 Jun 201413 Jun 2014

Activity: Participating in or organising an eventOrganising an event

Press / Media