Žiga Špiclin

1.2k total citations
53 papers, 714 citations indexed

About

Žiga Špiclin is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Žiga Špiclin has authored 53 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 19 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Žiga Špiclin's work include Medical Image Segmentation Techniques (18 papers), Cerebrovascular and Carotid Artery Diseases (16 papers) and Intracranial Aneurysms: Treatment and Complications (13 papers). Žiga Špiclin is often cited by papers focused on Medical Image Segmentation Techniques (18 papers), Cerebrovascular and Carotid Artery Diseases (16 papers) and Intracranial Aneurysms: Treatment and Complications (13 papers). Žiga Špiclin collaborates with scholars based in Slovenia, United States and South Korea. Žiga Špiclin's co-authors include Franjo Pernuš, Boštjan Likar, Tim Jerman, Alfiia Galimzianova, F. Pernuš, Miran Bürmen, Jaka Katrašnik, Saša Šega Jazbec, Alojz Ihan and Vojko Strojnik and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Žiga Špiclin

49 papers receiving 700 citations

Peers

Countries citing papers authored by Žiga Špiclin

Since Specialization

Citations

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

Fields of papers citing papers by Žiga Špiclin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Žiga Špiclin

This figure shows the co-authorship network connecting the top 25 collaborators of Žiga Špiclin. A scholar is included among the top collaborators of Žiga Špiclin 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 Žiga Špiclin. Žiga Špiclin 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	Prediction of intracranial aneurysm rupture from computed tomography angiography using an automated artificial intelligence framework 2025 ·Computers in Biology and Medicine ·(unknown), (unknown), (unknown), Jung Cheol Park, Jae Sung Ahn, Byung Duk Kwun, Žiga Špiclin, (unknown), Wonhyoung Park	0
2	Analysis of Brain Age Gap across Subject Cohorts and Prediction Model Architectures 2024 ·Biomedicines ·(unknown), Žiga Špiclin, (unknown), (unknown)	2
3	Predicting future multiple sclerosis disease progression from MR scans 2023 ·(unknown), (unknown), (unknown), (unknown), Žiga Špiclin	1
4	BASE: Brain Age Standardized Evaluation 2023 ·NeuroImage ·(unknown), Žiga Špiclin	13
5	A Systematic Review of Deep-Learning Methods for Intracranial Aneurysm Detection in CT Angiography 2023 ·Biomedicines ·(unknown), Žiga Špiclin	13
6	Detection and localization of hyperfunctioning parathyroid glands on [ ¹⁸ F]fluorocholine PET/ CT using deep learning – model performance and comparison to human experts 2022 ·Radiology and Oncology ·(unknown), (unknown), (unknown), Sebastijan Rep, Marko Hočevar, Tomaž Kocjan, Mojca Jensterle, Žiga Špiclin, (unknown), (unknown), Luka Ležaić	2
7	Impact of aerobic exercise on clinical and magnetic resonance imaging biomarkers in persons with multiple sclerosis: An exploratory randomized controlled trial 2021 ·Journal of Rehabilitation Medicine ·(unknown), (unknown), Vojko Strojnik, Alojz Ihan, (unknown), Žiga Špiclin, Saša Šega Jazbec	21
8	3D–2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms 2017 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), Boštjan Likar, Franjo Pernuš, Žiga Špiclin	11
9	A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus 2017 ·Neuroinformatics ·(unknown), Alfiia Galimzianova, (unknown), (unknown), Franjo Pernuš, Boštjan Likar, Žiga Špiclin	73
10	Monoplane 3D–2D registration of cerebral angiograms based on multi-objective stratified optimization 2017 ·Physics in Medicine and Biology ·(unknown), Žiga Špiclin, F. Pernuš, Gözde Ünal	1
11	Validation of White-Matter Lesion Change Detection Methods on a Novel Publicly Available MRI Image Database 2016 ·Neuroinformatics ·(unknown), Franjo Pernuš, Boštjan Likar, Žiga Špiclin	22
12	A framework for automatic creation of gold-standard rigid 3D–2D registration datasets 2016 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), Franjo Pernuš, Boštjan Likar, Žiga Špiclin	12
13	Enhancement of Vascular Structures in3D and 2D Angiographic Images 2016 ·IEEE Transactions on Medical Imaging ·Tim Jerman, Franjo Pernuš, Boštjan Likar, Žiga Špiclin	187
14	Stratified mixture modeling for segmentation of white-matter lesions in brain MR images 2015 ·NeuroImage ·Alfiia Galimzianova, Franjo Pernuš, Boštjan Likar, Žiga Špiclin	16
15	Simultaneous 3D–2D image registration and C‐arm calibration: Application to endovascular image‐guided interventions 2015 ·Medical Physics ·(unknown), Franjo Pernuš, Boštjan Likar, Žiga Špiclin	17
16	3D-2D Registration of Cerebral Angiograms: A Method and Evaluation on Clinical Images 2013 ·IEEE Transactions on Medical Imaging ·(unknown), Žiga Špiclin, Boštjan Likar, Franjo Pernuš	42
17	Groupwise Registration of Multimodal Images by an Efficient Joint Entropy Minimization Scheme 2012 ·IEEE Transactions on Image Processing ·Žiga Špiclin, (unknown), F. Pernuš	21
18	Registration of MRI and EEG based on internal and external anatomical similarities 2008 ·PubMed Central ·Žiga Špiclin, Simon K. Warfield, Boštjan Likar, Franjo Pernuš	4
19	EEG to MRI Registration Based on Global and Local Similarities of MRI Intensity Distributions 2008 ·Lecture notes in computer science ·Žiga Špiclin, (unknown), Frank H. Duffy, Simon K. Warfield, Boštjan Likar, (unknown)	6
20	Geometrical and Statistical Visual Inspection of Imprinted Tablets 2007 ·Machine Vision and Applications ·(unknown), Žiga Špiclin, Franjo Pernuš, Boštjan Likar	2

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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