A New Agent-Based Approach towards Distributed IP Measurements. - Roland Kwitt; Thomas Fichtel; Thomas Pfeiffenberger; Ulrich Hofmann 001 (ICN/ICONS/MCL, 2006)

Modeling the Marginal Distributions of Complex Wavelet Coefficient Magnitudes for the Classification of Zoom-Endoscopy Images. - Roland Kwitt; Andreas Uhl (ICCV, 2007)

Color eigen-subband features for endoscopy image classification. - Roland Kwitt; Andreas Uhl (ICASSP, 2008)

Image similarity measurement by Kullback-Leibler divergences between complex wavelet subband statistics for texture retrieval. - Roland Kwitt; Andreas Uhl (ICIP, 2008)

A lightweight rao-cauchy detector for additive watermarking in the dwt-domain. - Roland Kwitt; Peter Meerwald; Andreas Uhl (MM&Sec, 2008)

Multi-directional Multi-resolution Transforms for Zoom-Endoscopy Image Classification. - Roland Kwitt; Andreas Uhl (Computer Recognition Systems 2, 2008)

Efficient detection of additive watermarking in the DWT-domain. - Roland Kwitt; Peter Meerwald; Andreas Uhl (EUSIPCO, 2009)

Blind DT-CWT domain additive spread-spectrum watermark detection. - Roland Kwitt; Peter Meerwald; Andreas Uhl (DPS, 2009)

Color-image watermarking using multivariate power-exponential distribution. - Roland Kwitt; Peter Meerwald; Andreas Uhl (ICIP, 2009)

A joint model of complex wavelet coefficients for texture retrieval. - Roland Kwitt; Andreas Uhl (ICIP, 2009)

Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts. - Michael Häfner; Alfred Gangl; Roland Kwitt; Andreas Uhl; Andreas Vécsei; Friedrich Wrba (MICCAI (1), 2009)

Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images. - Michael Häfner; Roland Kwitt; Andreas Uhl; Alfred Gangl; Friedrich Wrba; Andreas Vécsei (Pattern Anal. Appl., 2009)

Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps. - Michael Häfner; Roland Kwitt; Andreas Uhl; Friedrich Wrba; Alfred Gangl; Andreas Vécsei (Pattern Recognit., 2009)

Predicting the histology of colorectal lesions in a probabilistic framework. - Roland Kwitt; Andreas Uhl; Michael Häfner; Alfred Gangl; Friedrich Wrba; Andreas Vécsei (CVPR Workshops, 2010)

Watermarking of 2D vector graphics with distortion constraint. - Stefan Huber 001; Roland Kwitt; Peter Meerwald; Martin Held; Andreas Uhl (ICME, 2010)

Blind Detection of Additive Spread-Spectrum Watermarking in the Dual-Tree Complex Wavelet Transform Domain. - Roland Kwitt; Peter Meerwald; Andreas Uhl (Int. J. Digit. Crime Forensics, 2010)

Lightweight Probabilistic Texture Retrieval. - Roland Kwitt; Andreas Uhl (IEEE Trans. Image Process., 2010)

Testing a multivariate model for wavelet coefficients. - Roland Kwitt; Peter Meerwald; Andreas Uhl; Geert Verdoolaege (ICIP, 2011)

BlenSor: Blender Sensor Simulation Toolbox. - Michael Gschwandtner; Roland Kwitt; Andreas Uhl; Wolfgang Pree (ISVC (2), 2011)

Infrared camera calibration for dense depth map construction. - Michael Gschwandtner; Roland Kwitt; Andreas Uhl; Wolfgang Pree (Intelligent Vehicles Symposium, 2011)

Learning Pit Pattern Concepts for Gastroenterological Training. - Roland Kwitt; Nikhil Rasiwasia; Nuno Vasconcelos; Andreas Uhl; Michael Häfner; Friedrich Wrba (MICCAI (3), 2011)

Lightweight Detection of Additive Watermarking in the DWT-Domain. - Roland Kwitt; Peter Meerwald; Andreas Uhl (IEEE Trans. Image Process., 2011)

Efficient Texture Image Retrieval Using Copulas in a Bayesian Framework. - Roland Kwitt; Peter Meerwald; Andreas Uhl (IEEE Trans. Image Process., 2011)

PCL and ParaView - Connecting the dots. - Pat Marion; Roland Kwitt; Brad Davis; Michael Gschwandtner (CVPR Workshops, 2012)

Scene Recognition on the Semantic Manifold. - Roland Kwitt; Nuno Vasconcelos; Nikhil Rasiwasia (ECCV (4), 2012)

Recognition in Ultrasound Videos: Where Am I? - Roland Kwitt; Nuno Vasconcelos; Sharif Razzaque; Stephen R. Aylward (MICCAI (3), 2012)

Endoscopic image analysis in semantic space. - Roland Kwitt; Nuno Vasconcelos; Nikhil Rasiwasia; Andreas Uhl; Bradley C. Davis; Michael Häfner; Friedrich Wrba (Medical Image Anal., 2012)

Weighted Functional Boxplot with Application to Statistical Atlas Construction. - Yi Hong 006; Brad Davis; J. S. Marron; Roland Kwitt; Marc Niethammer (MICCAI (3), 2013)

Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels. - Roland Kwitt; Danielle F. Pace; Marc Niethammer; Stephen R. Aylward (MICCAI (2), 2013)

Localizing target structures in ultrasound video - A phantom study. - Roland Kwitt; Nuno Vasconcelos; Sharif Razzaque; Stephen R. Aylward (Medical Image Anal., 2013)

Geodesic Regression on the Grassmannian. - Yi Hong 006; Roland Kwitt; Nikhil Singh 002; Brad Davis; Nuno Vasconcelos; Marc Niethammer (ECCV (2), 2014)

Time-Warped Geodesic Regression. - Yi Hong 006; Nikhil Singh 002; Roland Kwitt; Marc Niethammer (MICCAI (2), 2014)

Do We Need Annotation Experts? A Case Study in Celiac Disease Classification. - Roland Kwitt; Sebastian Hegenbart; Nikhil Rasiwasia; Andreas Vécsei; Andreas Uhl (MICCAI (2), 2014)

Low-Rank to the Rescue - Atlas-Based Analyses in the Presence of Pathologies. - Xiaoxiao Liu; Marc Niethammer; Roland Kwitt; Matthew McCormick 001; Stephen R. Aylward (MICCAI (3), 2014)

Variability sensitivity of dynamic texture based recognition in clinical CT data. - Roland Kwitt; Sharif Razzaque; Jeffrey Lowell; Stephen R. Aylward (Image Processing, 2014)

Topology-Preserving Watermarking of Vector Graphics. - Stefan Huber 001; Martin Held; Peter Meerwald; Roland Kwitt (Int. J. Comput. Geom. Appl., 2014)

Statistical atlas construction via weighted functional boxplots. - Yi Hong 006; Brad Davis; J. S. Marron; Roland Kwitt; Nikhil Singh 002; Julia S. Kimbell; Elizabeth Pitkin; Richard Superfine; Stephanie Davis; Carlton J. Zdanski; Marc Niethammer (Medical Image Anal., 2014)

A stable multi-scale kernel for topological machine learning. - Jan Reininghaus; Stefan Huber 001; Ulrich Bauer; Roland Kwitt (CVPR, 2015)

Group Testing for Longitudinal Data. - Yi Hong 006; Nikhil Singh 002; Roland Kwitt; Marc Niethammer (IPMI, 2015)

Model Criticism for Regression on the Grassmannian. - Yi Hong 006; Roland Kwitt; Marc Niethammer (MICCAI (3), 2015)

Statistical Topological Data Analysis - A Kernel Perspective. - Roland Kwitt; Stefan Huber 001; Marc Niethammer; Weili Lin; Ulrich Bauer (NIPS, 2015)

Proceedings of The 39th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2015. - Sebastian Hegenbart; Roland Kwitt; Andreas Uhl (CoRR, 2015)

One-Shot Learning of Scene Locations via Feature Trajectory Transfer. - Roland Kwitt; Sebastian Hegenbart; Marc Niethammer (CVPR, 2016)

Ultrasound spectroscopy. - Stephen R. Aylward; Matthew McCormick 001; Hyun Jae Kang; Sharif Razzaque; Roland Kwitt; Marc Niethammer (ISBI, 2016)

Narrow band imaging versus white-light: What is best for computer-assisted diagnosis of celiac disease? - Michael Gadermayr; Sebastian Hegenbart; Roland Kwitt; Andreas Uhl; Andreas Vécsei (ISBI, 2016)

Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps. - Georg Wimmer; Michael Gadermayr; Roland Kwitt; Michael Häfner; Dorit Merhof; Andreas Uhl (CARE@MICCAI, 2016)

Registration of Pathological Images. - Xiao Yang 002; Xu Han 009; Eunbyung Park; Stephen R. Aylward; Roland Kwitt; Marc Niethammer (SASHIMI@MICCAI, 2016)

Fast Predictive Image Registration. - Xiao Yang 002; Roland Kwitt; Marc Niethammer (LABELS/DLMIA@MICCAI, 2016)

Parametric Regression on the Grassmannian. - Yi Hong 006; Roland Kwitt; Nikhil Singh 002; Nuno Vasconcelos; Marc Niethammer (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Regression Uncertainty on the Grassmannian. - Yi Hong 006; Xiao Yang 002; Roland Kwitt; Martin Styner; Marc Niethammer (AISTATS, 2017)

Domain Adaptation for CNN Based Iris Segmentation. - Ehsaneddin Jalilian; Andreas Uhl; Roland Kwitt (BIOSIG, 2017)

AGA: Attribute-Guided Augmentation. - Mandar Dixit; Roland Kwitt; Marc Niethammer; Nuno Vasconcelos (CVPR, 2017)

Constructing Shape Spaces from a Topological Perspective. - Christoph D. Hofer; Roland Kwitt; Marc Niethammer; Yvonne Höller; Eugen Trinka; Andreas Uhl (IPMI, 2017)

Efficient registration of pathological images: A joint PCA/image-reconstruction approach. - Xu Han 009; Xiao Yang 002; Stephen R. Aylward; Roland Kwitt; Marc Niethammer (ISBI, 2017)

Simple domain adaptation for cross-dataset analyses of brain MRI data. - Christoph D. Hofer; Roland Kwitt; Yvonne Höller; Eugen Trinka; Andreas Uhl (ISBI, 2017)

Fast predictive multimodal image registration. - Xiao Yang 002; Roland Kwitt; Martin Styner; Marc Niethammer (ISBI, 2017)

Deep Learning with Topological Signatures. - Christoph D. Hofer; Roland Kwitt; Marc Niethammer; Andreas Uhl (NIPS, 2017)

Compressing networks with super nodes. - Natalie Stanley; Roland Kwitt; Marc Niethammer; Peter J. Mucha (CoRR, 2017)

Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach. - Xiao Yang 002; Roland Kwitt; Marc Niethammer (CoRR, 2017)

Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach. - Xu Han 009; Roland Kwitt; Stephen R. Aylward; Bjoern H. Menze; Alexander Asturias; Paul M. Vespa; John D. Van Horn; Marc Niethammer (CoRR, 2017)

Quicksilver: Fast predictive image registration - A deep learning approach. - Xiao Yang 002; Roland Kwitt; Martin Styner; Marc Niethammer (NeuroImage, 2017)

Feature Space Transfer for Data Augmentation. - Bo Liu 043; Xudong Wang 007; Mandar Dixit; Roland Kwitt; Nuno Vasconcelos (CVPR, 2018)

Scoliosis screening and monitoring using self contained ultrasound and neural networks. - Thomas Hastings Greer; Samuel Gerber; Marc Niethammer; Roland Kwitt; Matt McCormick 001; Deepak Roy Chittajallu; Neal Siekierski; Matthew Oetgen; Kevin Cleary; Stephen R. Aylward (ISBI, 2018)

Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans. - Xu Han 009; Spyridon Bakas; Roland Kwitt; Stephen R. Aylward; Hamed Akbari; Michel Bilello; Christos Davatzikos; Marc Niethammer (BrainLes@MICCAI (1), 2018)

Training of polyp staging systems using mixed imaging modalities. - Georg Wimmer; Michael Gadermayr; Roland Kwitt; Michael Häfner; Toru Tamaki; Shigeto Yoshida; Shinji Tanaka; Dorit Merhof; Andreas Uhl (Comput. Biol. Medicine, 2018)

Feature Space Transfer for Data Augmentation. - Bo Liu 043; Mandar Dixit; Roland Kwitt; Nuno Vasconcelos (CoRR, 2018)

Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach. - Xu Han 009; Roland Kwitt; Stephen R. Aylward; Spyridon Bakas; Bjoern H. Menze; Alexander Asturias; Paul M. Vespa; John D. Van Horn; Marc Niethammer (NeuroImage, 2018)

Metric Learning for Image Registration. - Marc Niethammer; Roland Kwitt; François-Xavier Vialard (CVPR, 2019)

Connectivity-Optimized Representation Learning via Persistent Homology. - Christoph D. Hofer; Roland Kwitt; Marc Niethammer; Mandar Dixit (ICML, 2019)

Stochastic block models with multiple continuous attributes. - Natalie Stanley; Thomas Bonacci; Roland Kwitt; Marc Niethammer; Peter J. Mucha (Appl. Netw. Sci., 2019)

Graph Filtration Learning. - Christoph D. Hofer; Roland Kwitt; Marc Niethammer (CoRR, 2019)

Deep Multi-View Learning via Task-Optimal CCA. - Heather D. Couture; Roland Kwitt; J. S. Marron; Melissa A. Troester; Charles M. Perou; Marc Niethammer (CoRR, 2019)

Learning Representations of Persistence Barcodes. - Christoph D. Hofer; Roland Kwitt; Marc Niethammer (J. Mach. Learn. Res., 2019)

Fast predictive simple geodesic regression. - Zhipeng Ding; Greg M. Fleishman; Xiao Yang 002; Paul Thompson 001; Roland Kwitt; Marc Niethammer (Medical Image Anal., 2019)

Image-Based Methods for Phase Estimation, Gating, and Temporal Superresolution of Cardiac Ultrasound. - Deepak Roy Chittajallu; Matthew McCormick 001; Samuel Gerber; Tomasz J. Czernuszewicz; Ryan C. Gessner; Monte S. Willis; Marc Niethammer; Roland Kwitt; Stephen R. Aylward (IEEE Trans. Biomed. Eng., 2019)

Topologically Densified Distributions. - Christoph D. Hofer; Florian Graf; Marc Niethammer; Roland Kwitt (ICML, 2020)

Graph Filtration Learning. - Christoph D. Hofer; Florian Graf; Bastian Rieck; Marc Niethammer; Roland Kwitt (ICML, 2020)

A shooting formulation of deep learning. - François-Xavier Vialard; Roland Kwitt; Susan Wei; Marc Niethammer (NeurIPS, 2020)

An empirical assessment of appearance descriptors applied to MRI for automated diagnosis of TLE and MCI. - Christoph D. Hofer; Roland Kwitt; Yvonne Höller; Eugen Trinka; Andreas Uhl (Comput. Biol. Medicine, 2020)

ICON: Learning Regular Maps Through Inverse Consistency. - Thomas Hastings Greer; Roland Kwitt; François-Xavier Vialard; Marc Niethammer (ICCV, 2021)

Dissecting Supervised Constrastive Learning. - Florian Graf; Christoph D. Hofer; Marc Niethammer; Roland Kwitt (ICML, 2021)

Topological Attention for Time Series Forecasting. - Sebastian Zeng; Florian Graf; Christoph D. Hofer; Roland Kwitt (NeurIPS, 2021)

Sparse Pose Trajectory Completion. - Bo Liu 043; Mandar Dixit; Roland Kwitt; Gang Hua 001; Nuno Vasconcelos (CoRR, 2021)

Comparing object recognition in humans and deep convolutional neural networks - An eye tracking study. - Leonard E. van Dyck; Roland Kwitt; Sebastian J. Denzler; Walter R. Gruber (CoRR, 2021)

On Measuring Excess Capacity in Neural Networks. - Florian Graf; Sebastian Zeng; Bastian Rieck; Marc Niethammer; Roland Kwitt (NeurIPS, 2022)

On Measuring Excess Capacity in Neural Networks. - Florian Graf; Sebastian Zeng; Marc Niethammer; Roland Kwitt (CoRR, 2022)

GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency. - Lin Tian 001; Thomas Hastings Greer; François-Xavier Vialard; Roland Kwitt; Raúl San José Estépar; Marc Niethammer (CoRR, 2022)

GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency. - Lin Tian 001; Thomas Hastings Greer; François-Xavier Vialard; Roland Kwitt; Raúl San José Estépar; Richard Jarrett Rushmore; Nikolaos Makris; Sylvain Bouix; Marc Niethammer (CVPR, 2023)

Inverse Consistency by Construction for Multistep Deep Registration. - Thomas Hastings Greer; Lin Tian 001; François-Xavier Vialard; Roland Kwitt; Sylvain Bouix; Raúl San José Estépar; Richard J. Rushmore; Marc Niethammer (MICCAI (10), 2023)

Latent SDEs on Homogeneous Spaces. - Sebastian Zeng; Florian Graf; Roland Kwitt (NeurIPS, 2023)

Position: Topological Deep Learning is the New Frontier for Relational Learning. - Theodore Papamarkou; Tolga Birdal; Michael M. Bronstein; Gunnar E. Carlsson; Justin Curry; Yue Gao; Mustafa Hajij; Roland Kwitt; Pietro Lio; Paolo Di Lorenzo; Vasileios Maroulas; Nina Miolane; et al. (ICML, 2024)

uniGradICON: A Foundation Model for Medical Image Registration. - Lin Tian 001; Thomas Hastings Greer; Roland Kwitt; François-Xavier Vialard; Raúl San José Estépar; Sylvain Bouix; Richard J. Rushmore; Marc Niethammer (MICCAI (2), 2024)

Neural Persistence Dynamics. - Sebastian Zeng; Florian Graf; Martin Uray; Stefan Huber 001; Roland Kwitt (NeurIPS, 2024)

MultiGradICON: A Foundation Model for Multimodal Medical Image Registration. - Basar Demir; Lin Tian 001; Thomas Hastings Greer; Roland Kwitt; François-Xavier Vialard; Raúl San José Estépar; Sylvain Bouix; Richard J. Rushmore; Ebrahim Ebrahim; Marc Niethammer (WBIR, 2024)

Position Paper: Challenges and Opportunities in Topological Deep Learning. - Theodore Papamarkou; Tolga Birdal; Michael M. Bronstein; Gunnar E. Carlsson; Justin Curry; Yue Gao; Mustafa Hajij; Roland Kwitt; Pietro Liò; Paolo Di Lorenzo; Vasileios Maroulas; Nina Miolane; et al. (CoRR, 2024)

CARL: A Framework for Equivariant Image Registration. - Thomas Hastings Greer; Lin Tian 001; François-Xavier Vialard; Roland Kwitt; Raúl San José Estépar; Marc Niethammer (CVPR, 2025)

Ph.D. Forum: Multi-Agent Reinforcement Learning in Wireless Network Communication. - Sabrina Pochaba; Peter Dorfinger; Matthias Herlich; Roland Kwitt; Simon Hirlaender (WoWMoM, 2025)