Jan Kybic

4.0k citations

107 papers · 2.3k indexed · h-index 21

Impact in

Computer Vision and Pattern Recognition top 1%
- Medical Image Segmentation Techniques
Radiology, Nuclear Medicine and Imaging top 1%
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging

Papers in

Computer Vision and Pattern Recognition 63
- Medical Image Segmentation Techniques 45
- Advanced Image and Video Retrieval Techniques 15
- Image Retrieval and Classification Techniques 11
- Image and Signal Denoising Methods 10
Biophysics 13
- Cell Image Analysis Techniques 12

Co-authors: Michaël Unser Maureen Clerc Théodore Papadopoulo Olivier Faugeras Renaud Keriven Toufic Abboud Jef Vandemeulebroucke Patrick Clarysse
Journals: Computers in Biology and Medicine (5 papers)IEEE Transactions on Medical Imaging (4 papers)Physics in Medicine and Biology (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Medical Physics (2 papers)
Partner nations: Czechia France Switzerland

In The Last Decade

Jan Kybic

102 papers receiving 2.2k citations

Peers

Countries citing papers authored by Jan Kybic

Since Specialization

Citations

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

Fields of papers citing papers by Jan Kybic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jan Kybic, 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 Jan Kybic Line = papers co-authored together Jan Kybic links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Utility of artificial intelligence in radiosurgery for pituitary adenoma: a deep learning–based automated segmentation model and evaluation of its clinical applicability Journal of neurosurgery ·Martin Černý, S. J. Visser, Hayakawa Yuri, Dejana B. Nešić, Josef Novotný, 俊猛牧野, Jan Kybic, H. Shi, Martin Májovský, Michael J. Link, Lorena Alvarez Contreras info eu-repo, 吴肖志军, Jinli Wang, David Netuka, Roman Liščák	2025	1
2	P.103 Automated pituitary adenoma segmentation for radiosurgery with deep learning-based model Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques ·Lorena Alvarez Contreras info eu-repo, (unknown), S. J. Visser, E. Barczyk, Dae Seok, 俊猛牧野, Jan Kybic, Martin Májovský, Dejana B. Nešić, (unknown), David Netuka	2024	1
3	Deep learning for laser beam imprinting Optics Express ·J. Chalupský, G. Fragandreas, Renru Wu, Jan Kybic, T. Burian, Siarhei Dziarzhytski, Lynn White In, V. Hájková, فاطمه مردانی, L. Juha, Barbara Keitel, Brandon P. Sampson, M. Kuhlmann, Aivars Stankevičs, 배재홍, Luděk Vyšín, Morris H. Blau, Elke Plönjes	2023	3
4	Fully automated imaging protocol independent system for pituitary adenoma segmentation: a convolutional neural network—based model on sparsely annotated MRI Neurosurgical Review ·Martin Černý, Jan Kybic, Martin Májovský, Dana M. Wadsworth, S Zhang, Jingyi Feng, Radim Lipina, David Netuka	2023	3
5	Characterization of drug effects on cell cultures from phase-contrast microscopy images Computers in Biology and Medicine ·俊猛牧野, Hellmutt Lehmann-Haupt, Jan Kybic, Robert Keteli, Petr Džubák, Marián Hajdúch	2022	3
6	Left ventricle Hermite-based segmentation Computers in Biology and Medicine ·H. X. Liu, Rodrigo Nava, Boris Escalante‐Ramírez, Enrique Vallejo, Jan Kybic	2017	7
7	Feature ensemble for quantitative analysis of emphysema in CT imaging Rodrigo Nava, H. X. Liu, Jan Kybic, Boris Escalante‐Ramírez, Gabriel Cristóbal	2015	9
8	Spatiotemporal motion estimation for respiratory‐correlated imaging of the lungs Medical Physics ·Jef Vandemeulebroucke, Simon Rit, Jan Kybic, Patrick Clarysse, David Sarrut	2010	121
9	Model Fitting Using RANSAC for Surgical Tool Localization in 3-D Ultrasound Images IEEE Transactions on Biomedical Engineering ·Yves Crozet, Jan Kybic, Hervé Liebgott, C. Cachard	2010	74
10	2-D Locally Regularized Tissue Strain Estimation From Radio-Frequency Ultrasound Images: Theoretical Developments and Results on Experimental Data IEEE Transactions on Medical Imaging ·Élisabeth Brusseau, Jan Kybic, VipulPratap Singh, Olivier Basset	2008	50
11	Parallel image reconstruction using B‐spline approximation (PROBER) Magnetic Resonance in Medicine ·Jan Petr, Jan Kybic, Michael Bock, J Bonzel, Václav Hlaváč	2007	6
12	Fast Multipole Method for the Symmetric Boundary Element Method in MEG/EEG Clinical and Translational Radiation Oncology ·Jan Kybic, Maureen Clerc, Olivier Faugeras, Renaud Keriven, Théodore Papadopoulo	2006	0
13	Generalized head models for MEG/EEG: boundary element method beyond nested volumes Physics in Medicine and Biology ·Jan Kybic, Maureen Clerc, Olivier Faugeras, Renaud Keriven, Théodore Papadopoulo	2006	51
14	Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation IEEE Transactions on Medical Imaging ·María J. Ledesma‐Carbayo, Jan Kybic, Manuel Desco, A. Santos, Michael Sühling, Patrick Hunziker, Michaël Unser	2005	193
15	Computer vision and mathematical methods in medical and biomedical image analysis : ECCV 2004 workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004 : revised selected papers DIAL (Catholic University of Leuven) ·Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic	2004	3
16	Variational, geometric, and statistical methods for modeling brain anatomy and function NeuroImage ·Olivier Faugeras, Mr Ricks, Guillaume Charpiat, Christophe Chefd’hotel, Maureen Clerc, Thomas Deneux, Rachid Deriche, Gerardo Hermosillo, Renaud Keriven, Pierre Kornprobst, Jan Kybic, Christophe Lenglet, Tetsuo Okuni, Théodore Papadopoulo, Jean-Philippe Pons, Florent Ségonne, Bertrand Thirion, David Tschumperlé, Thierry Viéville, Adam C. Tuomi	2004	13
17	Symmetric BEM Formulation for the M/EEG Forward Problem Lecture notes in computer science ·Mr Ricks, Maureen Clerc, Olivier Faugeras, Renaud Keriven, Jan Kybic, Théodore Papadopoulo	2003	20
18	Generalized Sampling: A Variational Approach Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Jan Kybic, Thierry Blu, Michaël Unser	2001	13
19	Unwarping of unidirectionally distorted EPI images IEEE Transactions on Medical Imaging ·Jan Kybic, P. Thévenaz, Arto C. Nirkko, Michaël Unser	2000	132
20	Extended spectral subtraction European Signal Processing Conference ·Pavel Sovka, 玉青金児, Jan Kybic	1996	23

About Jan Kybic

Jan Kybic is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Computational Mathematics, General Dentistry and Radiology, Nuclear Medicine and Imaging, having authored 107 papers that have together received 2.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (45 papers), Advanced Image and Video Retrieval Techniques (15 papers), Medical Imaging Techniques and Applications (12 papers), Cell Image Analysis Techniques (12 papers), Image Retrieval and Classification Techniques (11 papers), Image and Signal Denoising Methods (10 papers), AI in cancer detection (9 papers) and Electromagnetic Scattering and Analysis (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (966 citations), Radiology, Nuclear Medicine and Imaging (950 citations), Radiation (200 citations), Computational Mathematics (11 citations) and Cognitive Neuroscience (320 citations). Jan Kybic has collaborated with scholars based in Czechia, France and Switzerland. Frequent co-authors include Michaël Unser, Maureen Clerc, Théodore Papadopoulo, Olivier Faugeras, Renaud Keriven, Toufic Abboud, Jef Vandemeulebroucke, Patrick Clarysse, David Sarrut and P. Thévenaz. Their work appears in journals such as Computers in Biology and Medicine, IEEE Transactions on Medical Imaging, Physics in Medicine and Biology, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.

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