default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAlison O'Neil
Alison Q. O'Neil
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j9]Xiao Liu
, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Compositionally Equivariant Representation Learning. IEEE Trans. Medical Imaging 43(6): 2169-2179 (2024)- [c35]Jesse Phitidis, Antanas Kascenas, Maria del C. Valdés Hernández, William Whiteley, Joanna M. Wardlaw, Alison Q. O'Neil:
Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. MIUA (2) 2024: 227-241 - [i25]Konstantinos Vilouras, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models. CoRR abs/2404.12920 (2024) - 2023
- [j8]Arlene Casey, Emma M. Davidson, Claire Grover, Richard Tobin, Andreas Grivas, Huayu Zhang, Patrick Schrempf, Alison Q. O'Neil, Liam Lee, Michael Walsh, Freya Pellie, Karen Ferguson, Vera Cvoro, Honghan Wu, Heather Whalley, Grant Mair, William Whiteley, Beatrice Alex:
Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. Frontiers Digit. Health 5 (2023) - [j7]Murray Cutforth, Hannah Watson, Cameron Brown, Chaoyang Wang, Stuart Thomson, Dickon Fell, Vismantas Dilys, Morag Scrimgeour, Patrick Schrempf, James Lesh, Keith Muir, Alexander Weir, Alison Q. O'Neil:
Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters. Frontiers Digit. Health 5 (2023) - [j6]Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil:
The role of noise in denoising models for anomaly detection in medical images. Medical Image Anal. 90: 102963 (2023) - [j5]Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris:
Survey: Leakage and Privacy at Inference Time. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9090-9108 (2023) - [c34]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 - [c33]Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeff Dalton, Alison O'Neil:
Controllable Chest X-Ray Report Generation from Longitudinal Representations. EMNLP (Findings) 2023: 4891-4904 - [c32]Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Diffusion Models for Causal Discovery via Topological Ordering. ICLR 2023 - [c31]Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Compositional Representation Learning for Brain Tumour Segmentation. DART@MICCAI 2023: 41-51 - [c30]Antanas Kascenas, Chaoyang Wang, Patrick Schrempf, Ryan Grech, Hui Lu Goh, Mark Hall, Alison Q. O'Neil:
Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data. DALI@MICCAI 2023: 63-72 - [c29]Jesse Phitidis, Alison Q. O'Neil, Stewart Wiseman, David Alexander Dickie, Eleni Sakka, Agniete Kampaite, William Whiteley, Miguel O. Bernabeu, Beatrice Alex, Joanna M. Wardlaw, Maria del C. Valdés Hernández:
Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI. MIUA 2023: 3-17 - [c28]Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Group Distributionally Robust Knowledge Distillation. MLMI@MICCAI (2) 2023: 234-242 - [c27]Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil:
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting. MLMI@MICCAI (1) 2023: 413-423 - [i24]Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil:
The role of noise in denoising models for anomaly detection in medical images. CoRR abs/2301.08330 (2023) - [i23]Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Compositionally Equivariant Representation Learning. CoRR abs/2306.07783 (2023) - [i22]Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeffrey Dalton, Alison Q. O'Neil:
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting. CoRR abs/2308.15961 (2023) - [i21]Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeffrey Dalton, Alison Q. O'Neil:
Controllable Chest X-Ray Report Generation from Longitudinal Representations. CoRR abs/2310.05881 (2023) - [i20]Joseph S. Boyle, Antanas Kascenas, Pat Lok, Maria Liakata, Alison Q. O'Neil:
Automated clinical coding using off-the-shelf large language models. CoRR abs/2310.06552 (2023) - [i19]Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Compositional Representation Learning for Brain Tumour Segmentation. CoRR abs/2310.06562 (2023) - [i18]Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Group Distributionally Robust Knowledge Distillation. CoRR abs/2311.00476 (2023) - 2022
- [j4]Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Learning disentangled representations in the imaging domain. Medical Image Anal. 80: 102516 (2022) - [j3]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) - [c26]Francesco Dalla Serra, Fani Deligianni, Jeffrey Dalton, Alison Q. O'Neil:
CMRE-UoG team at ImageCLEFmedical Caption 2022: Concept Detection and Image Captioning. CLEF (Working Notes) 2022: 1381-1390 - [c25]Francesco Dalla Serra, William Clackett, Hamish MacKinnon, Chaoyang Wang, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil:
Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations. AACL/IJCNLP (1) 2022: 615-624 - [c24]Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. ISBI 2022: 1-5 - [c23]Antanas Kascenas, Rory Young, Bjørn Sand Jensen, Nicolas Pugeault, Alison Q. O'Neil:
Anomaly Detection via Context and Local Feature Matching. ISBI 2022: 1-5 - [c22]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. MAD@MICCAI 2022: 15-21 - [c21]Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. DGM4MICCAI@MICCAI 2022: 34-44 - [c20]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
vMFNet: Compositionality Meets Domain-Generalised Segmentation. MICCAI (8) 2022: 704-714 - [c19]Antanas Kascenas, Nicolas Pugeault, Alison Q. O'Neil:
Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI. MIDL 2022: 653-664 - [c18]Francesco Dalla Serra, Grzegorz Jacenków, Fani Deligianni, Jeff Dalton, Alison Q. O'Neil:
Improving Image Representations via MoCo Pre-training for Multimodal CXR Classification. MIUA 2022: 623-635 - [i17]Grzegorz Jacenków, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers. CoRR abs/2202.06076 (2022) - [i16]Pedro Sanchez, Jeremy P. Voisey, Tian Xia, Hannah I. Watson, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Causal Machine Learning for Healthcare and Precision Medicine. CoRR abs/2205.11402 (2022) - [i15]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
vMFNet: Compositionality Meets Domain-generalised Segmentation. CoRR abs/2206.14538 (2022) - [i14]Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. CoRR abs/2207.12268 (2022) - [i13]Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. CoRR abs/2208.03563 (2022) - [i12]Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Diffusion Models for Causal Discovery via Topological Ordering. CoRR abs/2210.06201 (2022) - 2021
- [j2]Patrick Schrempf, Hannah Watson, Eunsoo Park, Maciej Pajak, Hamish MacKinnon, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil:
Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports. Mach. Learn. Knowl. Extr. 3(2): 299-317 (2021) - [c17]Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Measuring the Biases and Effectiveness of Content-Style Disentanglement. BMVC 2021: 124 - [c16]Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris:
Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic. MICCAI (3) 2021: 160-170 - [c15]Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris:
Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation. MICCAI (2) 2021: 307-317 - [i11]Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris:
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation. CoRR abs/2106.13292 (2021) - [i10]Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris:
Survey: Leakage and Privacy at Inference Time. CoRR abs/2107.01614 (2021) - [i9]Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris:
Controllable cardiac synthesis via disentangled anatomy arithmetic. CoRR abs/2107.01748 (2021) - [i8]Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
A Tutorial on Learning Disentangled Representations in the Imaging Domain. CoRR abs/2108.12043 (2021) - 2020
- [j1]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [c14]Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Disentangled Representations for Domain-Generalized Cardiac Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 187-195 - [c13]Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil:
Paying Per-Label Attention for Multi-label Extraction from Radiology Reports. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 277-289 - [c12]Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris:
INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs. MICCAI (4) 2020: 385-395 - [i7]Shayne Shaw, Maciej Pajak, Aneta Lisowska, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Teacher-Student chain for efficient semi-supervised histology image classification. CoRR abs/2003.08797 (2020) - [i6]Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matús Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, Alison Q. O'Neil:
Paying Per-label Attention for Multi-label Extraction from Radiology Reports. CoRR abs/2007.16152 (2020) - [i5]Grzegorz Jacenków, Alison Q. O'Neil, Brian Mohr, Sotirios A. Tsaftaris:
INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs. CoRR abs/2008.10418 (2020) - [i4]Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Disentangled Representations for Domain-generalized Cardiac Segmentation. CoRR abs/2008.11514 (2020) - [i3]Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Metrics for Exposing the Biases of Content-Style Disentanglement. CoRR abs/2008.12378 (2020)
2010 – 2019
- 2019
- [c11]Matús Falis, Maciej Pajak, Aneta Lisowska, Patrick Schrempf, Lucas Deckers, Shadia Mikhael, Sotirios A. Tsaftaris, Alison O'Neil:
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text. LOUHI@EMNLP 2019: 168-177 - [c10]Daria Zotova, Aneta Lisowska, Owen Anderson, Vismantas Dilys, Alison O'Neil:
Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 3-12 - [i2]Mattias Appelgren, Patrick Schrempf, Matús Falis, Satoshi Ikeda, Alison Q. O'Neil:
Language Transfer for Early Warning of Epidemics from Social Media. CoRR abs/1910.04519 (2019) - 2018
- [c9]Aneta Lisowska, Alison O'Neil, Ian Poole:
Cross-cohort Evaluation of Machine Learning Approaches to Fall Detection from Accelerometer Data. HEALTHINF 2018: 77-82 - [c8]Alison Q. O'Neil, Antanas Kascenas, Joseph Henry, Daniel Wyeth, Matthew Shepherd, Erin Beveridge, Lauren Clunie, Carrie Sansom, Evelina Seduikyte, Keith Muir, Ian Poole:
Attaining Human-Level Performance with Atlas Location Autocontext for Anatomical Landmark Detection in 3D CT Data. ECCV Workshops (3) 2018: 470-484 - [i1]Alison Q. O'Neil, Antanas Kascenas, Joseph Henry, Daniel Wyeth, Matthew Shepherd, Erin Beveridge, Lauren Clunie, Carrie Sansom, Evelina Seduikyte, Keith Muir, Ian Poole:
Attaining human-level performance for anatomical landmark detection in 3D CT data. CoRR abs/1805.08687 (2018) - 2017
- [c7]Aneta Lisowska, Erin Beveridge, Alison O'Neil, Vismantas Dilys, Keith Muir, Ian Poole:
Evaluation of Dense Vessel Detection in NCCT Scans. BIOSTEC (Selected Papers) 2017: 134-145 - [c6]Alison Q. O'Neil, John T. Murchison, Edwin J. R. van Beek, Keith A. Goatman:
Crowdsourcing Labels for Pathological Patterns in CT Lung Scans: Can Non-experts Contribute Expert-Quality Ground Truth? CVII-STENT/LABELS@MICCAI 2017: 96-105 - [c5]Aneta Lisowska, Alison O'Neil, Vismantas Dilys, Matthew Daykin, Erin Beveridge, Keith Muir, Stephen McLaughlin, Ian Poole:
Context-Aware Convolutional Neural Networks for Stroke Sign Detection in Non-contrast CT Scans. MIUA 2017: 494-505 - [c4]Alison O'Neil, Matthew Shepherd, Erin Beveridge, Keith A. Goatman:
A Comparison of Texture Features Versus Deep Learning for Image Classification in Interstitial Lung Disease. MIUA 2017: 743-753 - 2016
- [c3]Alison O'Neil, Mohammad A. Dabbah, Ian Poole:
Cross-Modality Anatomical Landmark Detection Using Histograms of Unsigned Gradient Orientations and Atlas Location Autocontext. MLMI@MICCAI 2016: 139-146 - 2015
- [c2]Alison O'Neil, Sean Murphy, Ian Poole:
Anatomical Landmark Detection in CT Data by Learned Atlas Location Autocontext. MIUA 2015: 189-194 - 2014
- [c1]Alison O'Neil, Erin Beveridge, Graeme Houston, Lynne McCormick, Ian Poole:
Arterial tree tracking from anatomical landmarks in magnetic resonance angiography scans. Medical Imaging: Image Processing 2014: 90342S
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 2024-10-07 21:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
