Publications

Publications are listed in reverse-chronological order. Publications ranked A* according to the well-established CORE journal/conference ranking are marked. Please find my Google Scholar profile here.

2024 (3)
2023 (3)
2022 (1)
2021 (4)
2020 (4)
2019 (7)
2018 (6)
2017 (10)
2016 (6)
2015 (5)
2014 (7)
2013 (3)
2012 (5)
2011 (6)
2010 (4)
2009 (5)
2008 (6)
2007 (2)

Preprints

CARL: A Framework for Equivariant Image Registration
H. Greer, L. Tian, F.-X. Vialard, R. Kwitt, R.S.J. Estepar and M. Niethammer
arXiv

Deep Multi-View Learning via Task-Optimal CCA
H. D. Couture, R. Kwitt, J.S. Marron, M. Troester, C. M. Perou and M. Niethammer
arXiv

2024

Neural Persistence Dynamics
S. Zeng, F. Graf, M. Uray, S. Huber and R. Kwitt
NeurIPS ‘24 (accepted)
arXiv · Source code
CORE ranking: A*

uniGradICON: A Foundation Model for Medical Image Registration
L. Tian, H. Greer, R. Kwitt, F.-X. Vialard, R.S.J. Estepar, S. Bouix, R. Rushmore, and M. Niethammer
MICCAI ‘24
arXiv · Source code
CORE ranking: A

Position Paper: Challenges and Opportunities in Topological Deep Learning
T. Papamarkou, T. Birdal, M. Bronstein, G. Carlsson, J. Curry, Y. Gao, M. Hajij, R. Kwitt, P. Liò, P. Di Lorenzo, V. Maroulas, N. Miolane, F. Nasrin, K.N. Ramamurthy, B. Rieck, S. Scardapane, M.T. Schaub, P. Veličković, B. Wang, Y. Wang, G.-W. Wei and G. Zamzmi
ICML ‘24
arXiv
CORE ranking: A*

2023

Latent SDEs on Homogeneous Spaces
S. Zeng, F. Graf and R. Kwitt
NeurIPS ‘23
arXiv
CORE ranking: A*

Inverse Consistency by Construction for Multistep Deep Registration
H. Greer, L. Tian, F.X.-Vialard, R. Kwitt, S. Bouix, R. Estépar, R. Rushmore and M. Niethammer
MICCAI ‘23
arXiv
CORE ranking: A

GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
H. Greer, L. Tian, F.X.-Vialard, R. Kwitt, R. Estépar, R. Rushmore, N. Makris, S. Bouix and M. Niethammer
CVPR ‘23
arXiv
CORE ranking: A*

2022

On Measuring Excess Capacity in Neural Networks
F. Graf, S. Zeng, B. Rieck, M. Niethammer and R. Kwitt
NeurIPS ‘22
arXiv · OpenReview · Source code · Publisher link
CORE ranking: A*

2021

Topological Attention for Time Series Forecasting
S. Zeng, F. Graf, C. Hofer and R. Kwitt
NeurIPS 2021
arXiv · Publisher link
CORE ranking: A*

Comparing object recognition in humans and deep convolutional neural networks – An eye tracking study
L.E. van Dyck, R. Kwitt, S.J. Denzler and W.R. Gruber
Frontiers in Neuroscience
vol. 15, 2021
arXiv · Publisher link

ICON: Learning Regular Maps Through Inverse Consistency
H. Greer, R. Kwitt, F.-X. Vialard and M. Niethammer
ICCV 2021
arXiv · Publisher link · Source code
CORE ranking: A*

Dissecting Supervised Contrastive Learning
F. Graf, C. Hofer, M. Niethammer, R. Kwitt
ICML 2021 (long presentation)
arXiv · Publisher link
CORE ranking: A*

2020

A Shooting Formulation of Deep Learning
F.-X. Vialard, R. Kwitt, S. Wei and M. Niethammer
NeurIPS 2020 (Oral)
arXiv · Publisher link · Source code
CORE ranking: A*

Graph Filtration Learning
C. Hofer, F. Graf, B. Rieck, M. Niethammer and R. Kwitt
ICML 2020
arXiv · Publisher link · Source code
CORE ranking: A*

Topologically Densified Distributions
C. Hofer, F. Graf, M. Niethammer and R. Kwitt
ICML 2020
arXiv · Publisher link · Source code
CORE ranking: A*

An empirical assessment of appearance descriptors applied to MRI for automated diagnosis of TLE and MCI
C. Hofer, R. Kwitt, Y. Hoeller, E. Trinka and A. Uhl
Comput. Biol. Med.
vol. 117, 2020
Publisher link

2019

Stochastic Block Models with Multiple Continuous Attributes
N. Stanley, T. Bonacci, R. Kwitt, M. Niethammer and P. J. Mucha
Appl. Netw. Sci.
vol. 4 (54), 2019
arXiv · Publisher link · Source code

Learning Representations of Persistence Barcodes
C. Hofer, R. Kwitt and M. Niethammer
JMLR
vol. 20(126), pp. 1-45, 2019
Publisher link · Source code
CORE ranking: A*

Fast Predictive Simple Geodesic Regression
Z. Ding, G. Fleishman, X. Yang, P. Thompson, R. Kwitt, and Marc Niethammer
Med. Image Anal. (MedIA)
vol. 56, pp. 192-209, 2019
arXiv · Publisher link

Connectivity-Optimized Representation Learning via Persistent Homology
C. Hofer, R. Kwitt, M. Dixit and M. Niethammer
ICML 2019
Publisher link · Source code
CORE ranking: A*

Metric Learning for Image Registration
M. Niethammer, F.-X. Vialard and R. Kwitt
CVPR 2019
arXiv · Publisher link · Supplementary material · Source code
CORE ranking: A*

Image-Based Methods for Phase Estimation, Gating, and Temporal Superresolution of Cardiac Ultrasound
D.R. Chittajallu, M., McCormick, S. Gerber, T.J. Czernuszewicz, R. Gessner, M.S. Willis, M. Niethammer, R. Kwitt and S.R. Aylward
IEEE Transactions on Biomedical Engineering
vol. 66(1), pp. 72-79, 2019
Publisher link

Quest for the best endoscopic imaging modality for computer-assisted colonic polyp staging
G. Wimmer, M. Gadermayr, G. Wolkersdörfer, R. Kwitt, T. Tamaki, J. Tischendorf, M. Häfner, S. Yoshida, S. Tanaka, D. Merhof and A. Uhl
World J Gastroenterol.
vol. 25(10), pp. 1197–1209, 2019
Publisher link

2018

Training of polyp staging systems using mixed imaging modalities
G. Wimmer, M. Gadermayr, R. Kwitt, M. Häfner, T. Tamaki, S. Yoshida, S. Tanaka, D. Merhof and A. Uhl
Computers in Biology and Medicine
vol. 102, pp. 251-259, 2018
Publisher link

Compressing Networks with Super Nodes
Natalie Stanley, Roland Kwitt, Marc Niethammer, Peter J. Mucha
Nature Scientific Reports
Nr. 10892, 2018
arXiv · Publisher link

Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach
X. Han, R. Kwitt, S. Aylward, S. Bakas, B. Menze, A. Asturias, P. Vespas, J. Van Horn and M. Niethammer
NeuroImage
vol. 176, pp. 431-445, 2018
arXiv · Publisher link

Feature Space Transfer for Data Augmentation
B. Liu, M. Dixit, R. Kwitt and N. Vasconcelos
CVPR 2018 (Oral)
arXiv · Publisher link
CORE ranking: A*

Scoliosis Screening and Monitoring Using Self Contained Ultrasound and Neural Networks
H. Greer, S. Gerber, M. Niethammer, R. Kwitt, M. McCormick, D. Chittajallu, N. Siekierski, M. Oetgen, K. Cleary and S. Aylward
ISBI 2018
Preprint · Publisher link

2017

Domain Adaptation for CNN Based Iris Segmentation
E. Jalilian, R. Kwitt and A. Uhl
BIOSIG 2017
Publisher link

Deep Learning with Topological Signatures
C. Hofer, R. Kwitt, M. Niethammer and A. Uhl
NIPS 2017
arXiv · Publisher link · Source code
Supporting packages (+ tutorials): tda-toolkit · chofer-torchex · torchph
CORE ranking: A*

AGA: Attribute-Guided Augmentation
M. Dixit, R. Kwitt, M. Niethammer and N. Vasconcelos
CVPR 2017 (Oral)
arXiv · Publisher link · Talk video
CORE ranking: A*

Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach
X. Yang, R. Kwitt, M. Styner and M. Niethammer
NeuroImage
vol. 158, pp. 378-396, 2017
arXiv · Publisher link · Source code

Fast Predictive Simple Geodesic Regression
Z. Ding, G. Fleischman, P. Thomson, R. Kwitt, M. Niethammer and ADNI
DLMIA 2017
Preprint

Regression Uncertainty on the Grassmannian
Y. Hong, X. Yang, R. Kwitt, M. Styner and M. Niethammer
AISTATS 2017 (Oral)
Publisher link · Preprint

Constructing Shape Spaces from a Topological Perspective
C. Hofer, R. Kwitt, Y. Höller, E. Trinka, M. Niethammer and A. Uhl
IPMI 2017 (Oral)
Publisher link · Code included in tda-toolkit

Simple Domain Adaptation for Cross-Dataset Analyses of Brain MRI Data
C. Hofer, R. Kwitt, Y. Höller, E. Trinka and A. Uhl
ISBI 2017
Publisher link

Efficient Registration of Pathological Images: A joint PCA/Image-Reconstruction Approach
X. Han, X. Yang, S. Aylward, R. Kwitt and M. Niethammer
ISBI 2017
Preprint · Publisher link

Fast Predictive Multimodal Image Registration
X. Yang, R. Kwitt, M. Styner and M. Niethammer
ISBI 2017
Preprint

2016

One-Shot Learning of Scene Locations via Feature Trajectory Transfer R. Kwitt, S. Hegenbart and M. Niethammer
CVPR 2016 (Spotlight)
Publisher link · Code
CORE ranking: A*

Parametric Regression on the Grassmannian
Y. Hong, R. Kwitt, N. Singh, N. Vasconcelos and M. Niethammer
IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)
vol. 34(12), pp. 2284-2297, 2016
Publisher link · Preprint · Code
CORE ranking: A*

Fast Predictive Image Registration
X. Yang, R. Kwitt and M. Niethammer
DLMIA 2016
arXiv

Registration of Pathological Images
X. Yang, X. Han, E. Park, S. Aylward, R. Kwitt and M. Niethammer
SASHIMI 2016
arXiv

Ultrasound Spectroscopy
S. Alyward, M. McCormick, H.J. Kang, S. Razzaque, R. Kwitt and M. Niethammer
ISBI 2016
Publisher link

Narrow Band Imaging Versus White-Light: What is best for Computer-Assisted Diagnosis of Celiac Disease?
M. Gadermayr, S. Hegenbart , R. Kwitt and A. Uhl
ISBI 2016
Preprint

2015

Statistical Topological Data Analysis - A Kernel Perspective
R. Kwitt, S. Huber, M. Niethammer, W. Lin and U. Bauer
NIPS 2015
Publisher link · Code
CORE ranking: A*

A Stable Multi-Scale Kernel for Topological Machine Learning
J. Reininghaus, U. Bauer, S. Huber and R. Kwitt
CVPR 2015
Publisher link · Code · Poster
CORE ranking: A*

Group Testing for Longitudinal Data
Y. Hong, N. Singh, R. Kwitt and M. Niethammer
IPMI 2015 (Oral)
Preprint

Low-rank Atlas Image Analyses in the Presence of Pathologies
X. Liu, M. Niethammer, R. Kwitt, N. Singh, M. McCormick and S. Aylward
IEEE Trans. Med. Imag. (TMI)
vol. 34(12), pp. 2583-2591, 2015
Publisher link
CORE ranking: A*

Model Criticism for Regression on the Grassmannian
Y. Hong, R. Kwitt and M. Niethammer
MICCAI 2015
Publisher link · Preprint

2014

Geodesic Regression on the Grassmannian
Y. Hong, R. Kwitt, N. Singh and M. Niethammer
ECCV 2014
Publisher link · Preprint
CORE ranking: A*

Low-Rank to the Rescue: Atlas-based Analyses in the Presence of Pathologies
X. Liu, M. Niethammer, R. Kwitt, M. McCormick and S. Aylward
MICCAI 2014
Preprint

Variability sensitivity of dynamic texture based recognition in clinical CT data
R. Kwitt, S. Razzaque, J. Lowell and S. Aylward
SPIE Medical Imaging
Preprint · Code

Do we Need Annotation Experts? A Study in Celiac Disease Classification
R. Kwitt, S. Hegenbart, N. Rasiwasia, A. Vecsei and A. Uhl
MICCAI 2014
Preprint · Poster

Statistical Atlas Construction via Weighted Functional Boxplots
Y. Hong, B. Davis, J.S. Marron, R. Kwitt, N. Singh, J. Kimbell, E. Pitkina, R. Superfine, S. Davis, C. Zdanski and M. Niethammer
Med. Image Anal. (MedIA)
vol. 18, pp. 684-698, 2014
Preprint

Time-warped Geodesic Regression
Y. Hong, N. Singh, R. Kwitt and M. Niethammer
MICCAI 2014
Publisher link · Preprint

Topology-Preserving Watermarking of Vector Graphics
S. Huber, P. Meerwald, M. Held and R. Kwitt
Int. J. Comput. Geom. Appl.
vol. 24(1), pp. 61-86, 2014
Publisher

2013

Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels
R. Kwitt, D. Pace, M. Niethammer and S. Aylward
MICCAI 2013
Preprint · Supplementary material · Code

Weighted Functional Boxplot with Application to Statistical Atlas Construction
Y. Hong, B. Davis, J.S. Marron, R. Kwitt and M. Niethammer
MICCAI 2013
Preprint

Localizing Target Structures in Ultrasound Video - A Phantom Study
R. Kwitt, N. Vasconcelos, S. Razzaque and S. Aylward
Med. Image Anal. (MedIA)
vol. 17, pp. 712-722, 2013
Preprint · Code

2012

PCL and ParaView - Connecting the Dots
P. Marion, R. Kwitt, B. Davis and M. Gschwandtner
CVPR Workshop on Point Cloud Processing (PCP) 2012
Publisher link · Preprint · ParaView/PCL Plugin

Scene Recognition on the Semantic Manifold
R. Kwitt, N. Vasconcelos and N. Rasiwasia
ECCV 2012
Publisher link · Preprint
CORE ranking: A*

Recognition in Ultrasound Videos: Where Am I?
R. Kwitt, N. Vasconcelos, S. Razzaque and S. Aylward
MICCAI 2012
Preprint · Example videos
Winner of MICCAI Young Scientist Award

Endoscopic Image Analysis in Semantic Space
R. Kwitt, N. Vasconcelos, N. Rasiwasia, M. Häfner, F. Wrba and A. Uhl
Med. Image Anal. (MedIA)
vol. 16(7), pp. 1415-1422, 2012

Topology-Preserving Watermarking of Vector Data
S. Huber, M. Held, R. Kwitt and P. Meerwald
EuroCG 2012
Preprint · Slides

2011

BlenSor: Blender Sensor Simulation Toolbox
M. Gschwandtner, R. Kwitt and A. Uhl
ISVC 2011
Project

Testing a Multivariate Model for Wavelet Coefficients
R. Kwitt, P. Meerwald, A. Uhl and G. Verdoolaege
ICIP 2011
Publisher link · Preprint · Slides

Learning Pit Pattern Concepts for Gastroenterological Training
R. Kwitt, N. Rasiwasia, N. Vasconcelos, A. Uhl, M. Häfner and F. Wrba
MICCAI 2011
Publisher link · Preprint · Slides

Infrared Camera Calibration for Dense Depth Map Construction
M. Gschwandtner, R. Kwitt, W. Pree and A. Uhl
IEEE Intelligent Vehicles 2011
Publisher link · Preprint

Efficient Texture Image Retrieval Using Copulas in a Bayesian Framework
R. Kwitt, P. Meerwald and A. Uhl
IEEE Trans. Image Process. (TIP)
vol. 20(7), pp. 2063-2077, 2011
Publisher link · Preprint
CORE ranking: A*

Lightweight Detection of Additive Watermarking in the DWT-Domain
R. Kwitt, P. Meerwald and A. Uhl
IEEE Trans. Image Process. (TIP)
vol. 20(2), pp. 474-484, 2011
Publisher link · Preprint
CORE ranking: A*

2010

Statistical Modeling in the Wavelet Domain and Applications
R. Kwitt
PhD thesis (Univ. of Salzburg) 2010
(short-listed for the “Heinz-Zemanek Preis 2012”)
Thesis

Watermarking of 2D Vector Graphics with Distortion Constraint
S. Huber, R. Kwitt, P. Meerwald, M. Held and A. Uhl
ICME 2010
Preprint

Lightweight Probabilistic Texture Retrieval
R. Kwitt and A. Uhl
IEEE Trans. Image Process. (TIP)
vol. 19(1), pp. 241-253, 2010
Publisher link · Preprint · Errata
CORE ranking: A*

Predicting the Histology of Colorectal Lesions in a Probabilistic Framework
R. Kwitt, A. Uhl, M. Häfner, A. Gangl and F. Wrba
MMBIA 2010
Publisher link · Preprint

2009

Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts
M. Häfner, A. Gangl, R. Kwitt, A. Uhl and A. Vecsei
MICCAI 2009
Publisher link · Preprint

Color-Image Watermarking using Multivariate Power-Exponential Distribution
R. Kwitt, P. Meerwald and A. Uhl
ICIP 2009
Publisher link · Preprint

A Joint Model of Complex Wavelet Coefficients for Texture Retrieval
R. Kwitt, P. Meerwald and A. Uhl
ICIP 2009
Publisher link · Preprint

Efficient Detection of Additive Watermarking in the DWT-Domain
R. Kwitt, P. Meerwald and A. Uhl
EUSIPCO 2009
Publisher link · Preprint

Feature-Extraction from Multi-Directional Multi-Resolution Image Transformations for the Classification of Zoom-Endoscopy Images
M. Häfner, R. Kwitt, A. Uhl, A. Gangl, F. Wrba and A. Vecsei
Pattern Analysis and Applications (PAA)
vol. 12(4), pp. 407-413, 2009
Publisher link · Preprint

2008

Computer-assisted Pit-Pattern Classification in Different Wavelet Domains for Supporting Dignity Assessment of Colonic Polyps
M. Häfner, R. Kwitt, A. Uhl, A. Gangl and F. Wrba
Pattern Recognition (PR)
vol. 42(6), pp. 1180-1191, 2008
Publisher link · Preprint
CORE ranking: A*

One-Against-One Classification for Zoom-Endoscopy Images
M. Häfner, R. Kwitt, F. Wrba, A. Gangl and A. Vecsei
MEDSIP 2008

Color Eigen-Subband Features for Endoscopy Image Classification
R. Kwitt and A. Uhl
ICASSP 2008
Publisher link · Preprint

Image Similarity Measurement By Kullback-Leibler Divergences between Complex Wavelet Subband Statistics for Texture Retrieval
R. Kwitt and A. Uhl
ICIP 2008
Publisher link · Preprint

A Lightweight Rao-Cauchy Detector for Additive Watermarking in the DWT-Domain
R. Kwitt, P. Meerwald and A. Uhl
ACM MMSEC 2008
Publisher link · Preprint

Color Wavelet Cross Co-Occurrence Matrices for Endoscopy Image Classification
R. Kwitt and A. Uhl
ISCCSP 2008
Publisher link · Preprint

2007

Multi-Directional Multi-Resolution Transforms for Zoom-Endoscopy Image Classification
R. Kwitt and A. Uhl
Computer Recognition Systems 2 (Advances in Soft Computing)
Publisher link · Preprint

Modeling the Marginal Distributions of Complex Wavelet Coefficient Magnitudes for the Classification of Zoom-Endoscopy Images
R. Kwitt and A. Uhl
MMBIA 2007
Preprint