Martin Urschler

5.9k total citations · 1 hit paper
87 papers, 2.4k citations indexed

About

Martin Urschler is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Martin Urschler has authored 87 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 27 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Biomedical Engineering. Recurrent topics in Martin Urschler's work include Forensic Anthropology and Bioarchaeology Studies (17 papers), Medical Image Segmentation Techniques (16 papers) and Medical Imaging and Analysis (14 papers). Martin Urschler is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (17 papers), Medical Image Segmentation Techniques (16 papers) and Medical Imaging and Analysis (14 papers). Martin Urschler collaborates with scholars based in Austria, Germany and New Zealand. Martin Urschler's co-authors include Horst Bischof, Darko Štern, Christian Payer, Michael Pfeiffer, Philipp Kainz, Michael Donoser, Martin Hirzer, Thomas Ebner, David Snead and Elia Bruni and has published in prestigious journals such as Bioinformatics, PLoS ONE and NeuroImage.

In The Last Decade

Martin Urschler

79 papers receiving 2.3k citations

Hit Papers

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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.

Gland segmentation in colon histology images: The glas challenge contest

2016 570 citations Korsuk Sirinukunwattana, Josien P. W. Pluim et al. Medical Image Analysis profile →

Peers

Countries citing papers authored by Martin Urschler

Since Specialization

Citations

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

Fields of papers citing papers by Martin Urschler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Urschler

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Urschler. A scholar is included among the top collaborators of Martin Urschler 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 Martin Urschler. Martin Urschler 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	Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT 2025 ·Communications Medicine ·Mateusz Koziński, (unknown), (unknown), (unknown), Pascal Fua, Angela Koutsokera, (unknown), (unknown), Michele De Palma, John‐David Aubert, Horst Bischof, Christophe von Garnier, Sahand Jamal Rahi, Martin Urschler, Nahal Mansouri	0
2	Flow Matching-Based Data Synthesis for Robust Anatomical Landmark Localization 2025 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), Andrea Berghold, Martin Urschler	0
3	An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology 2025 ·Medical Image Analysis ·(unknown), Luca Azzolin, Matthias A. F. Gsell, (unknown), Anton J. Prassl, Robert Arnold, Karli Gillette, (unknown), Martin Manninger, Douglas S. Scherr, Aurel Neic, Martin Urschler, Christoph M. Augustin, Edward J. Vigmond, Gernot Plank	1
4	Fully Automated Hippocampus Segmentation using T2-informed Deep Convolutional Neural Networks 2024 ·NeuroImage ·(unknown), (unknown), Martin Urschler, Christian Enzinger, Rudolf Stollberger, Stefan Ropele	0
5	Expiratory Venous Volume and Arterial Tortuosity are Associated with Disease Severity and Mortality Risk in Patients with COPD: Results from COSYCONET 2024 ·International Journal of COPD ·Mircea Gabriel Stoleriu, Michael Pienn, (unknown), Peter Alter, (unknown), Martin Urschler, Gábor Kovács, Horst Olschewski, Hans‐Ulrich Kauczor, Mark O. Wielpütz, Bertram J. Jobst, Tobias Welte, Jürgen Behr, Franziska Trudzinski, Robert Bals, Henrik Watz, C. Franz Vogelmeier, Jürgen Biederer, Kathrin Kahnert	0
6	Federated unsupervised random forest for privacy-preserving patient stratification 2024 ·Bioinformatics ·Bastian Pfeifer, (unknown), Marcus Bloice, Markus Kreuzthaler, Martin Urschler	5
7	Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review 2023 ·Journal of Food Measurement & Characterization ·(unknown), Jacques Blanc-Talon, Martin Urschler, Patrice Delmas	29
8	Evaluating a Periapical Lesion Detection CNN on a Clinically Representative CBCT Dataset—A Validation Study 2023 ·Journal of Clinical Medicine ·(unknown), Martin Urschler, (unknown), Regina Riedl, Petra Rugani, Darko Štern, Barbara Kirnbauer	8
9	Automated pneumothorax triaging in chest X‐rays in the New Zealand population using deep‐learning algorithms 2022 ·Journal of Medical Imaging and Radiation Oncology ·(unknown), (unknown), (unknown), Sibghat Ullah Bazai, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Julian Jang‐Jaccard, Martin Urschler, (unknown), (unknown), (unknown), Gregory P. Tarr, (unknown)	21
10	Curation of the CANDID-PTX Dataset with Free-Text Reports 2021 ·Radiology Artificial Intelligence ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Mina Han, (unknown), (unknown), Joy T. Wu, Martin Urschler, (unknown), (unknown), Gregory P. Tarr, (unknown), (unknown)	13
11	Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net 2020 ·Christian Payer, Darko Štern, Horst Bischof, Martin Urschler	54
12	Bone age estimation with the Greulich-Pyle atlas using 3T MR images of hand and wrist 2020 ·Forensic Science International ·(unknown), (unknown), (unknown), Thorsten Schwark, Martin Urschler, Eva Scheurer	22
13	Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography 2018 ·Frontiers in Physiology ·Michael Pienn, Caroline Burgard, Christian Payer, Alexander Avian, Martin Urschler, Rudolf Stollberger, Andrea Olschewski, Horst Olschewski, Thorsten R. C. Johnson, Felix G. Meinel, Zoltán Bálint	12
14	Forensic age estimation by morphometric analysis of the manubrium from 3D MR images 2017 ·Forensic Science International ·(unknown), (unknown), (unknown), (unknown), (unknown), Martin Urschler	16
15	Gland segmentation in colon histology images: The glas challenge contest breakdown → 2016 ·Medical Image Analysis ·Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng‐Ann Heng, Yunbo Guo, (unknown), Bogdan J. Matuszewski, Elia Bruni, (unknown), Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David Snead, Nasir Rajpoot	570
16	Optimizing the 3D-reconstruction technique for serial block-face scanning electron microscopy 2016 ·Journal of Neuroscience Methods ·Stefan Wernitznig, (unknown), Martin Urschler, Armin Zankel, Peter Pölt, F. Claire Rind, Gerd Leitinger	6
17	Automatic third molar localization from 3D MRI using random regression forests 2015 ·ResearchSpace (University of Auckland) ·(unknown), Thomas Ebner, Darko Štern, Martin Urschler	2
18	What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescents 2015 ·Annals of Human Biology ·Martin Urschler, (unknown), Darko Štern	26
19	Dental age estimation of living persons: Comparison of MRI with OPG 2015 ·Forensic Science International ·Pia Baumann, (unknown), (unknown), Julian Boldt, (unknown), Martin Urschler, Barbara Kirnbauer, Norbert Jakse, Eva Scheurer	44
20	Automatic glottis segmentation from laryngeal high-speed videos using 3D active contours 2014 ·ResearchSpace (University of Auckland) ·(unknown), Martin Urschler, Christoph Stefan Aigner, (unknown), (unknown), Horst Bischof	9

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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