ScholarIQanswers from OpenAlex & ORCID
Alejandro F. Frangi
ResearcherPublications, citations & collaboration network
Alejandro F. Frangi is a researcher indexed in ScholarIQ from OpenAlex & ORCID.
How many works does Alejandro F. Frangi have?
ScholarIQindexed works
Alejandro F. Frangi has 849 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Alejandro F. Frangi have?
ScholarIQcitation count
Alejandro F. Frangi has 34,038 citations in the OpenAlex counts ScholarIQ stores.
What is the h-index of Alejandro F. Frangi?
ScholarIQh-index
Alejandro F. Frangi has an h-index of 77 in OpenAlex.
What is the i10-index of Alejandro F. Frangi?
ScholarIQi10-index
Alejandro F. Frangi has an i10-index of 371 in OpenAlex.
What is the ORCID of Alejandro F. Frangi?
ScholarIQorcid
The ORCID for Alejandro F. Frangi is on the source record.
What is the OpenAlex record for Alejandro F. Frangi?
ScholarIQopenalex
The OpenAlex for Alejandro F. Frangi is on the source record.
What are the most-cited papers on Alejandro F. Frangi?
ScholarIQmost cited works
The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions
Thomas J. Littlejohns, Jo Holliday, Lorna M Gibson, Steve Garratt, Niels Oesingmann, Fidel Alfaro‐Almagro, Jimmy D. Bell, Chris Boultwood, Rory Collins, Megan Conroy, Nicola Crabtree, Nicola Doherty, Alejandro F. Frangi, Nicholas C. Harvey, Paul Leeson, Karla L. Miller, Stefan Neubauer, Steffen E. Petersen, Jonathan Sellors, Simon Sheard, Stephen M. Smith, Cathie Sudlow, Paul M. Matthews, Naomi E. Allen
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras, Ben Glocker, Celia Cintas, Curtis P. Langlotz, Eva Weicken, Folkert W. Asselbergs, Fred Prior, Professor Gary S. Collins, Georgios Kaissis, Gianna Tsakou, Irène Buvat, Jayashree Kalpathy-Cramer, John Mongan, Julia A. Schnabel, Kaisar Kushibar, Katrine Riklund, Kostas Marias, Lameck Mbangula Amugongo, Lauren A. Fromont, Lena Maier-Hein, Leonor Cerdá-Alberich, Luis Martí‐Bonmatí, M. Jorge Cardoso, Maciej Bobowicz, Mahsa Shabani, Manolis Tsiknakis, María A. Zuluaga, Marie-Christine Fritzsche, Marina Camacho, Marius George Linguraru, Markus Wenzel, Marleen de Bruijne, Martin G. Tolsgaard, Melanie Goisauf, Mónica Cano Abadía, Nikolaos Papanikolaou, Noussair Lazrak, Oriol Pujol, Richard Osuala, Sandy Napel, Sara Colantonio, Smriti Joshi, Stefan Klein, Susanna Aussó, Wendy Rogers, Zohaib Salahuddin, Martijn P. A. Starmans
CS <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"> <mml:msup> <mml:mrow/> <mml:mn>2</mml:mn> </mml:msup> </mml:math> -Net: Deep learning segmentation of curvilinear structures in medical imaging
Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng, Pan Su, Jianlong Yang, Li Chen, Alejandro F. Frangi, Masahiro Akïba, Jiang Liu
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier‐Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Godau, Tal Arbel, Hrvoje Bogunović, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus Maier‐Hein, Bjoern Menze, Henning Müller, Peter Neher, Wiro J. Niessen, Nasir Rajpoot, G Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching‐Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp‐Schneider