Róbert Tóth

1.8k citations

44 papers · 694 indexed · h-index 16

Impact in

Computer Graphics and Computer-Aided Design top 2%
- Computer Graphics and Visualization Techniques
Computer Vision and Pattern Recognition top 2%
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Advanced Vision and Imaging

Papers in ⓘ

Computer Graphics and Computer-Aided Design 12
- Computer Graphics and Visualization Techniques 12
Computer Vision and Pattern Recognition 27
- Medical Image Segmentation Techniques 17
- Advanced Vision and Imaging 6

Co-authors: Anant Madabhushi (27 shared papers)Neil M. Rofsky (7 shared papers)B Bloch (7 shared papers)Robert E. Lenkinski (6 shared papers)Jonathan Chappelow (9 shared papers)Satish E. Viswanath (6 shared papers)Elizabeth M. Genega (5 shared papers)Petrik Clarberg (5 shared papers)
Journals: Computer Graphics Forum (4 papers)ACM Transactions on Graphics (2 papers)Neurocomputing (2 papers)The Journal of Pathology Clinical Research (1 paper)Medical Physics (1 paper)
Partner nations: United States United Kingdom Sweden

In The Last Decade

Róbert Tóth

42 papers receiving 680 citations

Peers

Countries citing papers authored by Róbert Tóth

Since Specialization

Citations

This map shows the geographic impact of Róbert Tóth'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 Róbert Tóth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Róbert Tóth more than expected).

Fields of papers citing papers by Róbert Tóth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Róbert Tóth. 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 Róbert Tóth. The network helps show where Róbert Tóth may publish in the future.

Co-authors

The 25 scholars most cited alongside Róbert Tóth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Róbert Tóth Line = papers co-authored together Róbert Tóth links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 tesla endorectal, in vivo T2‐weighted MR imagery Journal of Magnetic Resonance Imaging ·Satish E. Viswanath, B Bloch, Jonathan Chappelow, Róbert Tóth, Neil M. Rofsky, Elizabeth M. Genega, Robert E. Lenkinski, Anant Madabhushi	2012	107
2	Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation IEEE Transactions on Medical Imaging ·Róbert Tóth, Anant Madabhushi	2012	100
3	Accurate Prostate Volume Estimation Using Multifeature Active Shape Models on T2-weighted MRI Academic Radiology ·Róbert Tóth, B Bloch, Elizabeth M. Genega, Neil M. Rofsky, Robert E. Lenkinski, Mark Rosen, Arjun Kalyanpur, Sona Pungavkar, Anant Madabhushi	2011	34
4	Coarse Pixel Shading Eurographics ·K. Vaidyanathan, Marco Salvi, Róbert Tóth, Tim Foley, Tomas Akenine‐Möller, Jonas Nilsson, Jacob Munkberg, Jon Hasselgren, Masamichi Sugihara, Petrik Clarberg, T. Janczak, Aaron Lefohn	2014	34
5	A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In Vivo Prostate DCE-MRI Lecture notes in computer science ·Satish E. Viswanath, B Bloch, Elisabeth Genega, Neil M. Rofsky, Robert E. Lenkinski, Jonathan Chappelow, Róbert Tóth, Anant Madabhushi	2008	33
6	A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation Medical Image Analysis ·Róbert Tóth, Pallavi Tiwari, Mark Rosen, Galen D. Reed, John Kurhanewicz, Arjun Kalyanpur, Sona Pungavkar, Anant Madabhushi	2010	32
7	Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Satish E. Viswanath, B Bloch, Mark Rosen, Jonathan Chappelow, Róbert Tóth, Neil M. Rofsky, Robert E. Lenkinski, Elizabeth M. Genega, Arjun Kalyanpur, Anant Madabhushi	2009	30
8	Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning Medical Physics ·Najeeb Chowdhury, Róbert Tóth, Jonathan Chappelow, Sung Hoon Kim, S.B. Motwani, Salman R. Punekar, Haibo Lin, Stefan Both, Neha Vapiwala, Stephen M. Hahn, Anant Madabhushi	2012	30
9	Simultaneous segmentation of prostatic zones using Active Appearance Models with multiple coupled levelsets Computer Vision and Image Understanding ·Róbert Tóth, Justin Ribault, John H. Gentile, Dan Sperling, Anant Madabhushi	2013	29
10	A sort-based deferred shading architecture for decoupled sampling ACM Transactions on Graphics ·Petrik Clarberg, Róbert Tóth, Jacob Munkberg	2013	27
11	AMFS ACM Transactions on Graphics ·Petrik Clarberg, Róbert Tóth, Jon Hasselgren, Jim Nilsson, Tomas Akenine‐Möller	2014	26
12	Quick Annotator: an open‐source digital pathology based rapid image annotation tool The Journal of Pathology Clinical Research ·Runtian Miao, Róbert Tóth, Yu Zhou, Anant Madabhushi, Andrew Janowczyk	2021	20
13	Automated Computer-derived Prostate Volumes from MR Imaging Data: Comparison with Radiologist-derived MR Imaging and Pathologic Specimen Volumes Radiology ·Julie C. Bulman, Róbert Tóth, Amish Patel, B Bloch, Colm J. McMahon, Long Ngo, Anant Madabhushi, Neil M. Rofsky	2011	18
14	Hierarchical stochastic motion blur rasterization Lund University Publications (Lund University) ·Jacob Munkberg, Petrik Clarberg, Jon Hasselgren, Róbert Tóth, Masamichi Sugihara, Tomas Akenine‐Möller	2011	18
15	Histostitcher™: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework Journal of Pathology Informatics ·Róbert Tóth, Natalie Shih, John E. Tomaszewski, Michael D. Feldman, Oliver Kutter, Daphne Yu, John C. Paulus, Ginaluca Paladini, Anant Madabhushi	2014	16
16	A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Róbert Tóth, Pallavi Tiwari, Mark Rosen, Arjun Kalyanpur, Sona Pungavkar, Anant Madabhushi	2008	16
17	Adaptive image space shading for motion and defocus blur K. Vaidyanathan, Róbert Tóth, Marco Salvi, Solomon Boulos, Aaron Lefohn	2012	14
18	Adaptive texture space shading for stochastic rendering Computer Graphics Forum ·Magnus Andersson, Jon Hasselgren, Róbert Tóth, T. Akenine‐Möiler	2014	14
19	Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer Neurocomputing ·Satish E. Viswanath, Róbert Tóth, Mirabela Rusu, Dan Sperling, Herbert Lepor, Jurgen J. Fütterer, Anant Madabhushi	2014	12
20	MP30-02 TRANSRECTALLY DELIVERED, OUTPATIENT MRI-GUIDED LASER FOCAL THERAPY OF PROSTATE CANCER: SEVEN YEAR INTERIM RESULTS OF NCT #02243033 The Journal of Urology ·John F. Feller, Bernadette M. Greenwood, W.G. Jones, Róbert Tóth	2018	10

About Róbert Tóth

Róbert Tóth is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 694 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), Computer Graphics and Visualization Techniques (12 papers), Prostate Cancer Diagnosis and Treatment (10 papers), Medical Imaging and Analysis (10 papers), 3D Shape Modeling and Analysis (10 papers), AI in cancer detection (8 papers), Advanced Vision and Imaging (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (132 citations), Computer Vision and Pattern Recognition (414 citations), Radiology, Nuclear Medicine and Imaging (212 citations), Pulmonary and Respiratory Medicine (242 citations) and Computational Mechanics (93 citations). Róbert Tóth has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Anant Madabhushi, Neil M. Rofsky, B Bloch, Robert E. Lenkinski, Jonathan Chappelow, Satish E. Viswanath, Elizabeth M. Genega, Petrik Clarberg, Jon Hasselgren and Jacob Munkberg. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, Neurocomputing, The Journal of Pathology Clinical Research and Medical Physics.

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.

Explore authors with similar magnitude of impact