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Publication search results
found 94 matches
- 2023
- Claude Pellen
, Anne Le Louarn, Gilliosa Spurrier-Bernard, Evelyne Decullier, Jean-Marie Chrétien, Eric Rosenthal, Gérard Le Goff, David Moher, John P. A. Ioannidis, Florian Naudet
:
Ten (not so) simple rules for clinical trial data-sharing. PLoS Comput. Biol. 19(3) (2023) - John P. A. Ioannidis
:
Prolific non-research authors in high impact scientific journals: meta-research study. Scientometrics 128(5): 3171-3184 (2023) - 2022
- Ilkay Yildiz, Jennifer G. Dy
, Deniz Erdogmus
, Susan Ostmo
, J. Peter Campbell
, Michael F. Chiang
, Stratis Ioannidis
:
Spectral Ranking Regression. ACM Trans. Knowl. Discov. Data 16(6): 120:1-120:38 (2022) - 2021
- John P. A. Ioannidis
, Chara Koutsioumpa
, Angeliki Vakka
, Georgios Agoranos
, Chrysanthi Mantsiou
, Maria Kyriaki Drekolia
, Nikos Avramidis
, Despina G. Contopoulos-Ioannidis
, Konstantinos Drosatos
, Jeroen Baas
:
Comprehensive mapping of local and diaspora scientists: A database and analysis of 63, 951 Greek scientists. Quant. Sci. Stud. 2(2): 733-752 (2021) - Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Deep Spectral Ranking. AISTATS 2021: 361-369 - Veysi Yildiz, Stratis Ioannidis, Ilkay Yildiz, Peng Tian, John Peter Campbell, Susan Ostmo, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy:
Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. ISBI 2021: 353-357 - Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. PETRA 2021: 33-36 - Veysi Yildiz, Jennifer G. Dy, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Stratis Ioannidis, Deniz Erdogmus:
Structurally Guided Channel Attention Networks: SGCA-Net. PETRA 2021: 93-96 - 2020
- Selen Bozkurt
, Eli M. Cahan, Martin G. Seneviratne, Ran Sun, Juan Antonio Lossio-Ventura
, John P. A. Ioannidis
, Tina Hernandez-Boussard:
Reporting of demographic data and representativeness in machine learning models using electronic health records. J. Am. Medical Informatics Assoc. 27(12): 1878-1884 (2020) - Ryan J. Crowley
, Yuan Jin Tan, John P. A. Ioannidis
:
Empirical assessment of bias in machine learning diagnostic test accuracy studies. J. Am. Medical Informatics Assoc. 27(7): 1092-1101 (2020) - Tina Hernandez-Boussard, Selen Bozkurt
, John P. A. Ioannidis
, Nigam H. Shah:
MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care. J. Am. Medical Informatics Assoc. 27(12): 2011-2015 (2020) - Dénes Szücs, John P. A. Ioannidis
:
Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990-2012) and of latest practices (2017-2018) in high-impact journals. NeuroImage 221: 117164 (2020) - Matthew D. Li
, Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell
, James M. Brown
, Praveer Singh, Katharina Viktoria Hoebel, Deniz Erdogmus, Stratis Ioannidis, William E. Palmer, Michael F. Chiang
, Jayashree Kalpathy-Cramer
:
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digit. Medicine 3 (2020) - Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Fast and Accurate Ranking Regression. AISTATS 2020: 77-88 - Maria Sakka, Maria Riga, Panagiotis Ioannidis, Georgia Baliota, Rajeswaran Jagadeesan, Manoj Nayak, John Vontas, Christos G. Athanassiou:
Transcriptomic Analysis of a Susceptible and a Resistant Strain of the Lesser Grain Borer, Rhyzopertha dominica, and Laboratory Evaluation of s-metheprene and the Synergist Piperonyl Butoxide - Abstract. HAICTA 2020: 88-89 - 2019
- Ilkay Yildiz, Peng Tian
, Jennifer G. Dy, Deniz Erdogmus, James M. Brown
, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell
, Michael F. Chiang
, Stratis Ioannidis
:
Classification and comparison via neural networks. Neural Networks 118: 65-80 (2019) - Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Variational Inference from Ranked Samples with Features. ACML 2019: 599-614 - Peng Tian
, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, John Peter Campbell, Michael F. Chiang, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
A Severity Score for Retinopathy of Prematurity. KDD 2019: 1809-1819 - Mara Graziani
, James M. Brown
, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller:
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Medical Imaging: Computer-Aided Diagnosis 2019: 109501R - Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Accelerated Experimental Design for Pairwise Comparisons. SDM 2019: 432-440 - Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Accelerated Experimental Design for Pairwise Comparisons. CoRR abs/1901.06080 (2019) - 2018
- Yuan Guo, Peng Tian
, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis:
Experimental Design under the Bradley-Terry Model. IJCAI 2018: 2198-2204 - Szu-Yeu Hu, Andrew Beers, Ken Chang, Kathi Höbel, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy, Michael F. Chiang, Jayashree Kalpathy-Cramer, James M. Brown:
Deep feature transfer between localization and segmentation tasks. CoRR abs/1811.02539 (2018) - Sebastian J. Vollmer, Bilal A. Mateen, Gergo Bohner, Franz J. Király, Rayid Ghani, Pall Jonsson, Sarah Cumbers, Adrian Jonas, Katherine S. L. McAllister, Puja Myles, David Granger, Mark Birse, Richard Branson, Karel G. M. Moons, Gary S. Collins, John P. A. Ioannidis, Chris C. Holmes, Harry Hemingway:
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness. CoRR abs/1812.10404 (2018) - 2017
- Benjamin Alan Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis
:
Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review. J. Am. Medical Informatics Assoc. 24(1): 198-208 (2017) - Sotiris Ioannidis, Cristiano Giuffrida, Ioannis Sourdis, Vassilis Prevelakis, Christos Strydis, John Thomson, Dmitry Pidan, Martin Böhner:
Secure Hardware-Software Architectures for Robust Computing Systems - SHARCS. EPS 2017 - Konrad J. Karczewski, Nicholas P. Tatonetti, Chirag J. Patel, Arjun K. Manrai, C. Titus Brown, John P. A. Ioannidis:
Session Introduction. PSB 2017: 117-119 - 2016
- Masashi Yokochi, Naohiro Kobayashi, Eldon L. Ulrich, Akira R. Kinjo
, Takeshi Iwata, Yannis E. Ioannidis, Miron Livny, John L. Markley, Haruki Nakamura, Chojiro Kojima, Toshimichi Fujiwara:
Publication of nuclear magnetic resonance experimental data with semantic web technology and the application thereof to biomedical research of proteins. J. Biomed. Semant. 7: 16 (2016) - Benjamin Alan Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis:
A Systematic Review of Using Electronic Heath Records to Predict Clinical Events: Assessment of Opportunities and Challenges. CRI 2016 - Arjun K. Manrai, Chirag J. Patel, Nils Gehlenborg, Nicholas P. Tatonetti, John P. A. Ioannidis, Isaac S. Kohane:
Session Introduction. PSB 2016: 180-182
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