Image |
Bib Reference |
Publication Type |
2022 |
 |
Nicolas Grossmann, Eduard Gröller , Manuela Waldner
Concept splatters: Exploration of latent spaces based on human interpretable concepts
Computers and Graphics, 105:73-84, April 2022. [ video] [paper] [online demo] |
Journal Paper (without talk) |
2021 |
 |
Nicolas Grossmann, Jürgen Bernard, Michael Sedlmair, Manuela Waldner
Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation
In IEEE Visualization Conference (VIS), pages 61-65. October 2021.
[ paper] |
Conference Paper |
 |
Hsiang-Yun Wu , Aleksandr Amirkhanov, Nicolas Grossmann, Tobias Klein, David Kouřil, Haichao Miao, Laura R. Luidolt , Peter Mindek, Renata Raidou , Ivan Viola , Manuela Waldner , Eduard Gröller
Visualization working group at TU Wien: Visibile Facimus Quod Ceteri Non Possunt
Visual Informatics, 5:76-84, March 2021. [ paper] |
Journal Paper (without talk) |
2020 |
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Katarína Furmanová, Nicolas Grossmann, Ludvig Paul Muren, Oscar Casares-Magaz, Vitali Moiseenko, John P. Einck, Eduard Gröller , Renata Raidou
VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy
Computer & Graphics, 91:25-38, October 2020. |
Journal Paper (without talk) |
 |
Akari Iijima, Takayuki Itoh, Hsiang-Yun Wu , Nicolas Grossmann
Visualization of Semantic Differential Studies with a Large Number of Images, Participants and Attributes
In Proceedings of the 24th International Conference on Information Visualisation (iV2020), pages 1-6. September 2020.
[ image] [ paper] |
Conference Paper |
 |
Narumi Kuroko, Hayato Ohya, Takayuki Itoh, Nicolas Grossmann, Hsiang-Yun Wu
Visualization of Correlations between Places of Music Listening and Acoustic Features
In Proceedings of the 24th International Conference on Information Visualisation (iV2020), pages 1-6. September 2020.
[ image] [ paper] |
Conference Paper |
|
Renata Raidou , Katarína Furmanová, Nicolas Grossmann, Oscar Casares-Magaz, Vitali Moiseenko, John P. Einck, Eduard Gröller , Ludvig Paul Muren
Lessons Learnt from Developing Visual Analytics Applications for Adaptive Prostate Cancer Radiotherapy
In The Gap between Visualization Research and Visualization Software (VisGap) (2020), pages 1-8. May 2020.
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Conference Paper |
2019 |
|
Nicolas Grossmann, Oscar Casares-Magaz, Ludvig Paul Muren, Vitali Moiseenko, John P. Einck, Eduard Gröller , Renata Raidou
Pelvis Runner: A Visual Analytics Tool for Pelvic Organ Variability Exploration in Prostate Cancer Cohorts
Poster shown at IEEE VIS VAST
(20. October 2019-25. October 2019)
[ poster] |
Poster |
|
Nicolas Grossmann, Oscar Casares-Magaz, Ludvig Paul Muren, Vitali Moiseenko, John P. Einck, Eduard Gröller , Renata Raidou
Pelvis Runner: Visualizing Pelvic Organ Variability in a Cohort of Radiotherapy Patients
In Eurographics Workshop on Visual Computing for Biology and Medicine (2019), pages 69-78. September 2019.
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Conference Paper |
 |
Nicolas Grossmann
Pelvis Runner - Comparative Visualization of Anatomical Changes
[ image] [ Master thesis] [ Poster] |
Master Thesis |
2018 |
|
Nicolas Grossmann, Thomas Köppel, Eduard Gröller , Renata Raidou
VisualFlatter - Visual Analysis of Distortions in the Projection of Biomedical Structures
Eurographics Proceedings, September 2018. |
Journal Paper with Conference Talk |
2017 |
 |
Nicolas Grossmann
Extracting Sensor Specific Noise Models
[ thesis] |
Bachelor Thesis |
undated |
|
Nicolas Grossmann
(unknown)
Supervisor: Eduard Gröller
Duration: September 2019 —
|
Ongoing PhD-Thesis |
 |
Hsiang-Yun Wu , Aleksandr Amirkhanov, Nicolas Grossmann, Tobias Klein, David Kouřil, Haichao Miao, Laura R. Luidolt , Peter Mindek, Renata Raidou , Ivan Viola , Manuela Waldner , Eduard Gröller
Visualization working group at TU Wien: Visible Facimus Quod Ceteri Non Possunt
Visual Informatics, 5:76-84, . [ paper] |
Journal Paper (without talk) |