default search action
Giacomo Tarroni
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c34]Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection. ISBI 2024: 1-5 - [c33]Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni:
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification. ISBI 2024: 1-5 - [c32]Matthew Baugh, Hadrien Reynaud, Sergio Naval Marimont, Sarah Cechnicka, Johanna P. Müller, Giacomo Tarroni, Bernhard Kainz:
Image-Conditioned Diffusion Models for Medical Anomaly Detection. UNSURE@MICCAI 2024: 117-127 - [c31]Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. MICCAI (11) 2024: 243-253 - [i27]Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. CoRR abs/2407.06635 (2024) - [i26]Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni:
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration. CoRR abs/2410.02006 (2024) - 2023
- [c30]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c29]Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni:
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. DGM4MICCAI 2023: 35-44 - [c28]Eric Guizzo, Tillman Weyde, Giacomo Tarroni, Danilo Comminiello:
Quaternion Anti-Transfer Learning for Speech Emotion Recognition. WASPAA 2023: 1-5 - [d3]David Herron, Ernesto Jiménez-Ruiz, Giacomo Tarroni, Tillman Weyde:
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. Zenodo, 2023 - [d2]David Herron, Ernesto Jiménez-Ruiz, Giacomo Tarroni, Tillman Weyde:
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. Zenodo, 2023 - [d1]David Herron, Ernesto Jiménez-Ruiz, Giacomo Tarroni, Tillman Weyde:
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. Zenodo, 2023 - [i25]David Herron, Ernesto Jiménez-Ruiz, Giacomo Tarroni, Tillman Weyde:
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. CoRR abs/2305.13258 (2023) - [i24]Sergio Naval Marimont, Vasilis Siomos, Giacomo Tarroni:
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images. CoRR abs/2307.14701 (2023) - [i23]Sergio Naval Marimont, Giacomo Tarroni:
Harder synthetic anomalies to improve OoD detection in Medical Images. CoRR abs/2308.01412 (2023) - [i22]Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni:
ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification. CoRR abs/2311.14625 (2023) - [i21]Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. CoRR abs/2311.15453 (2023) - [i20]Maolin Li, Giacomo Tarroni, Vasilis Siomos:
Sample selection with noise rate estimation in noise learning of medical image analysis. CoRR abs/2312.15233 (2023) - 2022
- [j7]Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert:
Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Anal. 82: 102597 (2022) - [j6]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [c27]Vasilis Siomos, Giacomo Tarroni, Jonathan Passerat-Palmbach:
FeTS Challenge 2022 Task 1: Implementing FedMGDA + and a New Partitioning. BrainLes@MICCAI (2) 2022: 154-160 - [c26]Sergio Naval Marimont, Giacomo Tarroni:
Implicit U-Net for Volumetric Medical Image Segmentation. MIUA 2022: 387-397 - [i19]Sergio Naval Marimont, Giacomo Tarroni:
Implicit U-Net for volumetric medical image segmentation. CoRR abs/2206.15217 (2022) - 2021
- [j5]Eric Guizzo, Tillman Weyde, Giacomo Tarroni:
Anti-transfer learning for task invariance in convolutional neural networks for speech processing. Neural Networks 142: 238-251 (2021) - [c25]Sergio Naval Marimont, Giacomo Tarroni:
Anomaly Detection Through Latent Space Restoration Using Vector Quantized Variational Autoencoders. ISBI 2021: 1764-1767 - [c24]Sergio Naval Marimont, Giacomo Tarroni:
Implicit Field Learning for Unsupervised Anomaly Detection in Medical Images. MICCAI (2) 2021: 189-198 - [i18]Sergio Naval Marimont, Giacomo Tarroni:
Implicit field learning for unsupervised anomaly detection in medical images. CoRR abs/2106.05214 (2021) - [i17]Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert:
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. CoRR abs/2108.03429 (2021) - 2020
- [j4]Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Antonio de Marvao, Ozan Oktay, Christian Ledig, Loïc Le Folgoc, Konstantinos Kamnitsas, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models. IEEE Trans. Medical Imaging 39(6): 2088-2099 (2020) - [c23]Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai:
Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. MICCAI (4) 2020: 88-97 - [c22]Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert:
Realistic Adversarial Data Augmentation for MR Image Segmentation. MICCAI (1) 2020: 667-677 - [i16]Eric Guizzo, Tillman Weyde, Giacomo Tarroni:
Blissful Ignorance: Anti-Transfer Learning for Task Invariance. CoRR abs/2006.06494 (2020) - [i15]Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert:
Realistic Adversarial Data Augmentation for MR Image Segmentation. CoRR abs/2006.13322 (2020) - [i14]Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai:
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation. CoRR abs/2006.13379 (2020) - [i13]Sergio Naval Marimont, Giacomo Tarroni:
Anomaly detection through latent space restoration using vector-quantized variational autoencoders. CoRR abs/2012.06765 (2020)
2010 – 2019
- 2019
- [j3]Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Ben Glocker, Paul M. Matthews, Daniel Rueckert:
Learning-Based Quality Control for Cardiac MR Images. IEEE Trans. Medical Imaging 38(5): 1127-1138 (2019) - [c21]Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders. ISBI 2019: 1643-1646 - [c20]Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert:
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. STACOM@MICCAI 2019: 209-219 - [c19]Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert:
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. MICCAI (2) 2019: 523-531 - [c18]Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert:
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. MICCAI (2) 2019: 541-549 - [i12]Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders. CoRR abs/1902.11000 (2019) - [i11]Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Ozan Oktay, Loïc Le Folgoc, Konstantinos Kamnitsas, Antonio de Marvao, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling. CoRR abs/1907.00058 (2019) - [i10]Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert:
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. CoRR abs/1907.02757 (2019) - [i9]Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert:
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. CoRR abs/1907.09983 (2019) - [i8]Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert:
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. CoRR abs/1908.07344 (2019) - [i7]Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert:
Deep learning for cardiac image segmentation: A review. CoRR abs/1911.03723 (2019) - 2018
- [c17]Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert:
A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. MICCAI (1) 2018: 268-276 - [c16]Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. MICCAI (2) 2018: 464-471 - [c15]Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert:
Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. MICCAI (4) 2018: 586-594 - [i6]Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Ben Glocker, Paul M. Matthews, Daniel Rueckert:
Learning-Based Quality Control for Cardiac MR Images. CoRR abs/1803.09354 (2018) - [i5]Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. CoRR abs/1807.06843 (2018) - [i4]Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert:
Recurrent neural networks for aortic image sequence segmentation with sparse annotations. CoRR abs/1808.00273 (2018) - [i3]Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert:
A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. CoRR abs/1810.02201 (2018) - 2017
- [c14]Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Ben Glocker, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert:
Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images. FIMH 2017: 73-82 - [c13]Wenjia Bai, Ozan Oktay, Matthew Sinclair, Hideaki Suzuki, Martin Rajchl, Giacomo Tarroni, Ben Glocker, Andrew P. King, Paul M. Matthews, Daniel Rueckert:
Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation. MICCAI (2) 2017: 253-260 - [i2]Wenjia Bai, Matthew Sinclair, Giacomo Tarroni, Ozan Oktay, Martin Rajchl, Ghislain Vaillant, Aaron M. Lee, Nay Aung, Elena Lukaschuk, Mihir M. Sanghvi, Filip Zemrak, Kenneth Fung, José Miguel Paiva, Valentina Carapella, Young Jin Kim, Hideaki Suzuki, Bernhard Kainz, Paul M. Matthews, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Ben Glocker, Daniel Rueckert:
Human-level CMR image analysis with deep fully convolutional networks. CoRR abs/1710.09289 (2017) - 2016
- [c12]Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert:
Respiratory Motion Correction for 2D Cine Cardiac MR Images using Probabilistic Edge Maps. CinC 2016 - [i1]Martin Rajchl, Matthew C. H. Lee, Franklin Schrans, Alice Davidson, Jonathan Passerat-Palmbach, Giacomo Tarroni, Amir Alansary, Ozan Oktay, Bernhard Kainz, Daniel Rueckert:
Learning under Distributed Weak Supervision. CoRR abs/1606.01100 (2016) - 2015
- [c11]Giacomo Tarroni, Silvia Visentin, Erich Cosmi, Enrico Grisan:
A Fully Automated Approach to Aortic Distensibility Quantification from Fetal Ultrasound Images. CinC 2015: 729-732 - [c10]Giacomo Tarroni, Silvia Visentin, Erich Cosmi, Enrico Grisan:
Fully-automated identification and segmentation of aortic lumen from fetal ultrasound images. EMBC 2015: 153-156 - [c9]Enrico Grisan, Giorgia Cantisani, Giacomo Tarroni, Seung Keun Yoon, Michele Rossi:
A supervised learning approach for the robust detection of heart beat in plethysmographic data. EMBC 2015: 5825-5828 - [c8]Davide Boschetto, Hadis Mirzaei, Rupert W. L. Leong, Giacomo Tarroni, Enrico Grisan:
Semiautomatic detection of villi in confocal endoscopy for the evaluation of celiac disease. EMBC 2015: 8143-8146 - [c7]Giacomo Tarroni, Silvia Visentin, Erich Cosmi, Enrico Grisan:
A novel approach to aortic intima-media thickness quantification from fetal ultrasound images. ISBI 2015: 858-861 - [c6]Giacomo Tarroni, Marco Castellaro, Carlo Boffano, Maria Grazia Bruzzone, Alessandra Bertoldo, Enrico Grisan:
A novel approach to motion correction for ASL images based on brain contours. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94171U - 2014
- [c5]Marco Marino, Federico Veronesi, Giacomo Tarroni, Victor Mor-Avi, Amit R. Patel, Cristiana Corsi:
Fully Automated Assessment of Left Ventricular Volumes, Function and Mass from Cardiac MRI. CinC 2014: 109-112 - [c4]Giacomo Tarroni, Silvia Visentin, Erich Cosmi, Enrico Grisan:
Near-Automated Quantification of Prenatal Aortic Intima-Media Thickness from Ultrasound Images. CinC 2014: 313-316 - [c3]Giacomo Tarroni, Silvia Visentin, Erich Cosmi, Enrico Grisan:
Automated Estimation of Aortic Intima-Media Thickness from Fetal Ultrasound. CLIP@MICCAI 2014: 33-40 - 2013
- [c2]Giacomo Tarroni, Davide Marsili, Federico Veronesi, Cristiana Corsi, Amit R. Patel, Victor Mor-Avi, Claudio Lamberti:
Automated MRI-Based Biventricular Segmentation Using3D Narrow-Band Statistical Level-Sets. CinC 2013: 627-630 - [c1]Giacomo Tarroni, Davide Marsili, Federico Veronesi, Cristiana Corsi, Claudio Lamberti, Gonzalo Sanguinetti:
Near-automated 3D segmentation of left and right ventricles on magnetic resonance images. ISPA 2013: 522-527 - 2012
- [b1]Giacomo Tarroni:
Automated Segmentation and Non-Rigid Registration for the Quantitative Evaluation of Myocardial Perfusion from Magnetic Resonance Images. University of Bologna, Italy, 2012 - [j2]Giacomo Tarroni, Luca Tersi, Cristiana Corsi, Rita Stagni:
Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopy. Medical Biol. Eng. Comput. 50(6): 631-640 (2012) - [j1]Giacomo Tarroni, Luca Tersi, Cristiana Corsi, Rita Stagni:
Erratum to: Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopy. Medical Biol. Eng. Comput. 50(6): 649-650 (2012)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint