José Ignacio Orlando

2.5k total citations · 1 hit paper
32 papers, 914 citations indexed

About

José Ignacio Orlando is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, José Ignacio Orlando has authored 32 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Ophthalmology. Recurrent topics in José Ignacio Orlando's work include Retinal Imaging and Analysis (18 papers), Glaucoma and retinal disorders (8 papers) and Digital Imaging for Blood Diseases (7 papers). José Ignacio Orlando is often cited by papers focused on Retinal Imaging and Analysis (18 papers), Glaucoma and retinal disorders (8 papers) and Digital Imaging for Blood Diseases (7 papers). José Ignacio Orlando collaborates with scholars based in Argentina, Austria and United States. José Ignacio Orlando's co-authors include Matthew B. Blaschko, Elena Prokofyeva, Mariana del Fresno, Hrvoje Bogunović, Ursula Schmidt‐Erfurth, Sebastian M. Waldstein, Philipp Seeböck, Ignacio Larrabide, Georg Langs and Thomas Schlegl and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

José Ignacio Orlando

27 papers receiving 882 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.

A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images

2016 359 citations José Ignacio Orlando et al. profile →

Peers

Countries citing papers authored by José Ignacio Orlando

Since Specialization

Citations

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

Fields of papers citing papers by José Ignacio Orlando

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Ignacio Orlando. 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 José Ignacio Orlando. The network helps show where José Ignacio Orlando may publish in the future.

Co-authorship network of co-authors of José Ignacio Orlando

This figure shows the co-authorship network connecting the top 25 collaborators of José Ignacio Orlando. A scholar is included among the top collaborators of José Ignacio Orlando 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 José Ignacio Orlando. José Ignacio Orlando 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	Improving realism in abdominal ultrasound simulation combining a segmentation‐guided loss and polar coordinates training 2025 ·Medical Physics ·(unknown), José Ignacio Orlando, (unknown), Alejandro Díaz, Ignacio Larrabide	0
2	Cloud classification through machine learning and global horizontal irradiance data analysis 2024 ·Quarterly Journal of the Royal Meteorological Society ·(unknown), (unknown), Elián Wolfram, José Ignacio Orlando	1
3	Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation 2024 ·Scientific Data ·(unknown), Fei Li, Junde Wu, Huazhu Fu, Xu Sun, José Ignacio Orlando, Hrvoje Bogunović, Xiulan Zhang, Yanwu Xu	12
4	Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection 2024 ·Medical Image Analysis ·Philipp Seeböck, José Ignacio Orlando, (unknown), Julia Mai, Ursula Schmidt‐Erfurth, Hrvoje Bogunović	8
5	Computer Aided Intracranial Aneurysm Treatment Based on 2D/3D Mapping, Virtual Deployment and Online Distal Marker Detection 2024 ·Cardiovascular Engineering and Technology ·(unknown), José Ignacio Orlando, Camila García, (unknown), (unknown), (unknown), Jordi Blasco, Luís San Román, Juan Macho, (unknown), (unknown), Ignacio Larrabide	0
6	A deep learning model for brain vessel segmentation in 3DRA with arteriovenous malformations 2023 ·Camila García, Yibin Fang, Jianmin Liu, Ana Paula Narata, José Ignacio Orlando, Ignacio Larrabide	3
7	Assessing coarse-to-fine deep learning models for optic disc and cup segmentation in fundus images 2023 ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Ignacio Larrabide, José Ignacio Orlando	1
8	Postoperative vault prediction for phakic implantable collamer lens surgery: LASSO formulas 2022 ·Journal of Cataract & Refractive Surgery ·(unknown), José Ignacio Orlando, (unknown), Thomas Kohnen, (unknown), Karel Van Keer	18
9	Linking Function and Structure with ReSensNet 2022 ·Ophthalmology Retina ·Philipp Seeböck, Wolf‐Dieter Vogl, Sebastian M. Waldstein, José Ignacio Orlando, Magdalena Baratsits, (unknown), (unknown), Georgios Mylonas, Hrvoje Bogunović, Ursula Schmidt‐Erfurth	14
10	SketchZooms: Deep Multi-view Descriptors for Matching Line Drawings 2021 ·Conicet ·(unknown), José Ignacio Orlando, Claudio Delrieux, (unknown)	4
11	Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study 2020 ·Journal of the Neurological Sciences ·(unknown), José Ignacio Orlando, (unknown), (unknown), Luís San Román, Alberto Vargas, Silvia Kochen, Ignacio Larrabide	1
12	Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation 2019 ·arXiv (Cornell University) ·Philipp Seeböck, David Romo‐Bucheli, Sebastian M. Waldstein, Hrvoje Bogunović, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt‐Erfurth	5
13	Linking Function and Structure: Prediction of Retinal Sensitivity in AMD from OCT using Deep Learning 2019 ·Investigative Ophthalmology & Visual Science ·Philipp Seeböck, Wolf‐Dieter Vogl, Sebastian M. Waldstein, Magdalena Baratsits, José Ignacio Orlando, (unknown), Hrvoje Bogunović, (unknown), Georgios Mylonas, Ursula Schmidt‐Erfurth	1
14	Reducing image variability across OCT devices with unsupervised unpaired learning for improved segmentation of retina 2019 ·Biomedical Optics Express ·David Romo‐Bucheli, Philipp Seeböck, José Ignacio Orlando, Bianca S. Gerendas, Sebastian M. Waldstein, Ursula Schmidt‐Erfurth, Hrvoje Bogunović	41
15	Improving realism in patient-specific abdominal ultrasound simulation using CycleGANs 2019 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), José Ignacio Orlando, (unknown), Ignacio Larrabide	40
16	Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT 2019 ·IEEE Transactions on Medical Imaging ·Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunović, Sophie Klimscha, Georg Langs, Ursula Schmidt‐Erfurth	100
17	Assessment of image features for vessel wall segmentation in intravascular ultrasound images 2016 ·International Journal of Computer Assisted Radiology and Surgery ·Lucas Lo Vercio, José Ignacio Orlando, Mariana del Fresno, Ignacio Larrabide	26
18	Acaros acuáticos (Acari: Hydrachnidiae) de Colombia 2013 ·(unknown), José Ignacio Orlando	0
19	Acondicionadores y mejoradores del suelo 2006 ·(unknown), José Ignacio Orlando	2
20	Self-Reports in Chronic Schizophrenic Patients with Primary Negative Symptoms: Preliminary Results 1990 ·Pharmacopsychiatry ·H. Gerbaldo, (unknown), (unknown), (unknown), José Ignacio Orlando	3

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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