Roland Kwitt

3.3k total citations · 1 hit paper
70 papers, 1.5k citations indexed

About

Roland Kwitt is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Roland Kwitt has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Roland Kwitt's work include Image Retrieval and Classification Techniques (16 papers), Medical Image Segmentation Techniques (14 papers) and Colorectal Cancer Screening and Detection (8 papers). Roland Kwitt is often cited by papers focused on Image Retrieval and Classification Techniques (16 papers), Medical Image Segmentation Techniques (14 papers) and Colorectal Cancer Screening and Detection (8 papers). Roland Kwitt collaborates with scholars based in Austria, United States and Germany. Roland Kwitt's co-authors include Marc Niethammer, Andreas Uhl, Martin Styner, Xiao Yang, Peter Meerwald, Stefan Huber, Ulrich Bauer, Jan Reininghaus, Nuno Vasconcelos and Stephen Aylward and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Scientific Reports.

In The Last Decade

Roland Kwitt

67 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quicksilver: Fast predictive image registration – A deep learning approach

2017 384 citations Roland Kwitt, Marc Niethammer et al. NeuroImage profile →

Peers

Countries citing papers authored by Roland Kwitt

Since Specialization

Citations

This map shows the geographic impact of Roland Kwitt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roland Kwitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland Kwitt more than expected).

Fields of papers citing papers by Roland Kwitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roland Kwitt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roland Kwitt. The network helps show where Roland Kwitt may publish in the future.

Co-authorship network of co-authors of Roland Kwitt

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Kwitt. A scholar is included among the top collaborators of Roland Kwitt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roland Kwitt. Roland Kwitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Dissecting Supervised Constrastive Learning 2021 ·International Conference on Machine Learning ·(unknown), (unknown), Marc Niethammer, Roland Kwitt	11
2	Learning Representations of Persistence Barcodes 2019 ·Journal of Machine Learning Research ·(unknown), Roland Kwitt, Marc Niethammer	19
3	Fast predictive simple geodesic regression 2019 ·Medical Image Analysis ·Zhipeng Ding, Greg Fleishman, Xiao Yang, Paul M. Thompson, Roland Kwitt, Marc Niethammer	6
4	Training of polyp staging systems using mixed imaging modalities 2018 ·Computers in Biology and Medicine ·Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Dorit Merhof, Andreas Uhl	1
5	Compressing Networks with Super Nodes 2018 ·Scientific Reports ·Natalie Stanley, Roland Kwitt, Marc Niethammer, Peter J. Mucha	22
6	Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach 2018 ·NeuroImage ·Xu Han, Roland Kwitt, Stephen Aylward, Spyridon Bakas, Bjoern Menze, (unknown), (unknown), John Van Horn, Marc Niethammer	14
7	Scoliosis screening and monitoring using self contained ultrasound and neural networks 2018 ·PubMed ·(unknown), (unknown), Marc Niethammer, Roland Kwitt, Matthew McCormick, Deepak R. Chittajallu, (unknown), Matthew E. Oetgen, Kevin Cleary, Stephen Aylward	6
8	Deep Learning with Topological Signatures 2017 ·Neural Information Processing Systems ·(unknown), Roland Kwitt, Marc Niethammer, Andreas Uhl	15
9	Registration of Pathological Images 2016 ·Lecture notes in computer science ·Xiao Yang, Xu Han, Eunbyung Park, Stephen Aylward, Roland Kwitt, Marc Niethammer	13
10	Ultrasound spectroscopy 2016 ·PubMed ·Stephen Aylward, Matthew McCormick, Hyun‐Jae Kang, Sharif Razzaque, Roland Kwitt, Marc Niethammer	2
11	Localizing target structures in ultrasound video – A phantom study 2013 ·Medical Image Analysis ·Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, Stephen Aylward	26
12	Endoscopic image analysis in semantic space 2012 ·Medical Image Analysis ·Roland Kwitt, Nuno Vasconcelos, (unknown), Andreas Uhl, Bradley Moore Davis, Michael Häfner, Friedrich Wrba	17
13	Recognition in Ultrasound Videos: Where Am I? 2012 ·Lecture notes in computer science ·Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, Stephen Aylward	1
14	Blensor:Blenderセンサ・シミュレーション用ツールボックス 2011 ·Lecture notes in computer science ·(unknown), Roland Kwitt, Andreas Uhl, Wolfgang Pree	1
15	Efficient Texture Image Retrieval Using Copulas in a Bayesian Framework 2011 ·IEEE Transactions on Image Processing ·Roland Kwitt, Peter Meerwald, Andreas Uhl	51
16	Learning Pit Pattern Concepts for Gastroenterological Training 2011 ·Lecture notes in computer science ·Roland Kwitt, Nikhil Rasiwasia, Nuno Vasconcelos, Andreas Uhl, Michael Häfner, Friedrich Wrba	4
17	Infrared camera calibration for dense depth map construction 2011 ·(unknown), Roland Kwitt, Andreas Uhl, Wolfgang Pree	21
18	Lightweight Detection of Additive Watermarking in the DWT-Domain 2010 ·IEEE Transactions on Image Processing ·Roland Kwitt, Peter Meerwald, Andreas Uhl	39
19	Improving Pit–Pattern Classification of Endoscopy Images by a Combination of Experts 2009 ·Lecture notes in computer science ·Michael Häfner, Alfred Gangl, Roland Kwitt, Andreas Uhl, Andreas Vécsei, Friedrich Wrba	20
20	A joint model of complex wavelet coefficients for texture retrieval 2009 ·Roland Kwitt, Andreas Uhl	14

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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